Articles | Volume 19, issue 1
https://doi.org/10.5194/acp-19-295-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-295-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jan 2019
Research article |
| 09 Jan 2019
| 09 Jan 2019
Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth
Department of Earth and Environmental Sciences of Columbia University, New
York, NY, USA
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Arlene M. Fiore
Department of Earth and Environmental Sciences of Columbia University, New
York, NY, USA
Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
Gabriele Curci
Department of Physical and Chemical Sciences, University of L'Aquila,
L'Aquila, Italy
Center of Excellence for the Forecast of Severe Weather, University of
L'Aquila, L'Aquila, Italy
Alexei Lyapustin
NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland, USA
Kevin Civerolo
New York State Department of Environmental Conservation, Albany, NY, USA
Michael Ku
New York State Department of Environmental Conservation, Albany, NY, USA
Aaron van Donkelaar
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS,
Canada
Randall V. Martin
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS,
Canada
Smithsonian Astrophysical Observatory, Harvard-Smithsonian Center for
Astrophysics, Cambridge, MA, USA
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Atmos. Chem. Phys., 20, 2031–2056, https://doi.org/10.5194/acp-20-2031-2020, https://doi.org/10.5194/acp-20-2031-2020, 2020
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The typical lifetime of a single satellite platform is on the order of 5–15 years; thus, for climate studies the usage of multiple satellite sensors should be considered.
Here we introduce and evaluate a monthly AOD merged product and AOD global and regional time series for the period 1995–2017 created from 12 individual satellite AOD products, which provide a long-term perspective on AOD changes over different regions of the globe.
Ekaterina Y. Zhdanova, Natalia Y. Chubarova, and Alexei I. Lyapustin
Atmos. Meas. Tech., 13, 877–891, https://doi.org/10.5194/amt-13-877-2020, https://doi.org/10.5194/amt-13-877-2020, 2020
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We estimated the distribution of aerosol optical thickness (AOT) with a spatial resolution of 1 km over the Moscow megacity using the MAIAC satellite aerosol product from May to September over the years 2000–2017. We revealed that the MAIAC product is a reliable instrument for assessing the spatial features of urban aerosol pollution and its temporal dynamics. The local aerosol effect is about 0.02–0.04 in AOT in the visible spectral range over the Moscow megacity.
Laura Palacios-Peña, Pedro Jiménez-Guerrero, Rocío Baró, Alessandra Balzarini, Roberto Bianconi, Gabriele Curci, Tony Christian Landi, Guido Pirovano, Marje Prank, Angelo Riccio, Paolo Tuccella, and Stefano Galmarini
Atmos. Chem. Phys., 19, 2965–2990, https://doi.org/10.5194/acp-19-2965-2019, https://doi.org/10.5194/acp-19-2965-2019, 2019
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The main uncertainties regarding the estimation of changes in the Earth’s energy budget are related to the role of atmospheric aerosols. Our study evaluates the representation of aerosol optical properties by different atmospheric chemistry models against remote-sensing observations in order to reduce this uncertainty. Results show that the representation of aerosol optical properties is strongly dependent on the used model.
David M. Giles, Alexander Sinyuk, Mikhail G. Sorokin, Joel S. Schafer, Alexander Smirnov, Ilya Slutsker, Thomas F. Eck, Brent N. Holben, Jasper R. Lewis, James R. Campbell, Ellsworth J. Welton, Sergey V. Korkin, and Alexei I. Lyapustin
Atmos. Meas. Tech., 12, 169–209, https://doi.org/10.5194/amt-12-169-2019, https://doi.org/10.5194/amt-12-169-2019, 2019
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Clouds or instrumental anomalies may perturb ground-based solar measurements used to calculate aerosol optical depth (AOD). This study presents a new algorithm of automated near-real-time (NRT) quality controls with improved cloud screening for AERONET AOD measurements. Results from the new and old algorithms have excellent agreement for the highest-quality AOD level, while the new algorithm provides higher-quality NRT AOD for applications such as data assimilation and satellite evaluation.
Gabriele Curci, Ummugulsum Alyuz, Rocio Barò, Roberto Bianconi, Johannes Bieser, Jesper H. Christensen, Augustin Colette, Aidan Farrow, Xavier Francis, Pedro Jiménez-Guerrero, Ulas Im, Peng Liu, Astrid Manders, Laura Palacios-Peña, Marje Prank, Luca Pozzoli, Ranjeet Sokhi, Efisio Solazzo, Paolo Tuccella, Alper Unal, Marta G. Vivanco, Christian Hogrefe, and Stefano Galmarini
Atmos. Chem. Phys., 19, 181–204, https://doi.org/10.5194/acp-19-181-2019, https://doi.org/10.5194/acp-19-181-2019, 2019
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Atmospheric carbonaceous aerosols are able to absorb solar radiation and they continue to contribute some of the largest uncertainties in projected climate change. One important detail is how the chemical species are arranged inside each particle, i.e. the knowledge of their mixing state. We use an ensemble of regional model simulations to test different mixing state assumptions and found that a combination of internal and external mixing may better reproduce sunphotometer observations.
Samuel R. Hall, Kirk Ullmann, Michael J. Prather, Clare M. Flynn, Lee T. Murray, Arlene M. Fiore, Gustavo Correa, Sarah A. Strode, Stephen D. Steenrod, Jean-Francois Lamarque, Jonathan Guth, Béatrice Josse, Johannes Flemming, Vincent Huijnen, N. Luke Abraham, and Alex T. Archibald
Atmos. Chem. Phys., 18, 16809–16828, https://doi.org/10.5194/acp-18-16809-2018, https://doi.org/10.5194/acp-18-16809-2018, 2018
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Photolysis (J rates) initiates and drives atmospheric chemistry, and Js are perturbed by factors of 2 by clouds. The NASA Atmospheric Tomography (ATom) Mission provides the first comprehensive observations on how clouds perturb Js through the remote Pacific and Atlantic basins. We compare these cloud-perturbation J statistics with those from nine global chemistry models. While basic patterns agree, there is a large spread across models, and all lack some basic features of the observations.
Arlene M. Fiore, Emily V. Fischer, George P. Milly, Shubha Pandey Deolal, Oliver Wild, Daniel A. Jaffe, Johannes Staehelin, Olivia E. Clifton, Dan Bergmann, William Collins, Frank Dentener, Ruth M. Doherty, Bryan N. Duncan, Bernd Fischer, Stefan Gilge, Peter G. Hess, Larry W. Horowitz, Alexandru Lupu, Ian A. MacKenzie, Rokjin Park, Ludwig Ries, Michael G. Sanderson, Martin G. Schultz, Drew T. Shindell, Martin Steinbacher, David S. Stevenson, Sophie Szopa, Christoph Zellweger, and Guang Zeng
Atmos. Chem. Phys., 18, 15345–15361, https://doi.org/10.5194/acp-18-15345-2018, https://doi.org/10.5194/acp-18-15345-2018, 2018
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We demonstrate a proof-of-concept approach for applying northern midlatitude mountaintop peroxy acetyl nitrate (PAN) measurements and a multi-model ensemble during April to constrain the influence of continental-scale anthropogenic precursor emissions on PAN. Our findings imply a role for carefully coordinated multi-model ensembles in helping identify observations for discriminating among widely varying (and poorly constrained) model responses of atmospheric constituents to changes in emissions.
Rocío Baró, Pedro Jiménez-Guerrero, Martin Stengel, Dominik Brunner, Gabriele Curci, Renate Forkel, Lucy Neal, Laura Palacios-Peña, Nicholas Savage, Martijn Schaap, Paolo Tuccella, Hugo Denier van der Gon, and Stefano Galmarini
Atmos. Chem. Phys., 18, 15183–15199, https://doi.org/10.5194/acp-18-15183-2018, https://doi.org/10.5194/acp-18-15183-2018, 2018
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Particles in the atmosphere, such as pollution, desert dust, and volcanic ash, have an impact on meteorology. They interact with incoming radiation resulting in a cooling effect of the atmosphere. Today, the use of meteorology and chemistry models help us to understand these processes, but there are a lot of uncertainties. The goal of this work is to evaluate how these interactions are represented in the models by comparing them to satellite data to see how close they are to reality.
Alexei Lyapustin, Yujie Wang, Sergey Korkin, and Dong Huang
Atmos. Meas. Tech., 11, 5741–5765, https://doi.org/10.5194/amt-11-5741-2018, https://doi.org/10.5194/amt-11-5741-2018, 2018
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MAIAC algorithm used for the MODIS C6 processing is described. MAIAC combines time series analysis and pixel/image-based processing to improve the accuracy of cloud detection, aerosol retrievals and atmospheric correction. MAIAC offers an interdisciplinary suite of atmospheric, land surface and snow products. Due to generally high quality, high resolution and high coverage, MAIAC AOD and surface reflectance/BRDF have been widely used for air quality and land research and applications.
Daniel M. Westervelt, Andrew J. Conley, Arlene M. Fiore, Jean-François Lamarque, Drew T. Shindell, Michael Previdi, Nora R. Mascioli, Greg Faluvegi, Gustavo Correa, and Larry W. Horowitz
Atmos. Chem. Phys., 18, 12461–12475, https://doi.org/10.5194/acp-18-12461-2018, https://doi.org/10.5194/acp-18-12461-2018, 2018
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Small particles in Earth's atmosphere (also referred to as atmospheric aerosols) emitted by human activities impact Earth's climate in complex ways and play an important role in Earth's water cycle. We use a climate modeling approach and find that aerosols from the United States and Europe can have substantial effects on rainfall in far-away regions such as Africa's Sahel or the Mediterranean. Air pollution controls in these regions may help reduce the likelihood and severity of Sahel drought.
Jean J. Guo, Arlene M. Fiore, Lee T. Murray, Daniel A. Jaffe, Jordan L. Schnell, Charles T. Moore, and George P. Milly
Atmos. Chem. Phys., 18, 12123–12140, https://doi.org/10.5194/acp-18-12123-2018, https://doi.org/10.5194/acp-18-12123-2018, 2018
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We use the GEOS-Chem model to estimate the influence from anthropogenic and background sources to ozone over the USA. Novel findings include the point that year-to-year background variability on the 10 highest observed ozone days is driven mainly by natural sources and not international or intercontinental pollution transport. High positive model biases during summer are associated with regional ozone production. The EPA 3-year average metric falls short of its aim to remove natural variability.
Sebastian D. Eastham, Michael S. Long, Christoph A. Keller, Elizabeth Lundgren, Robert M. Yantosca, Jiawei Zhuang, Chi Li, Colin J. Lee, Matthew Yannetti, Benjamin M. Auer, Thomas L. Clune, Jules Kouatchou, William M. Putman, Matthew A. Thompson, Atanas L. Trayanov, Andrea M. Molod, Randall V. Martin, and Daniel J. Jacob
Geosci. Model Dev., 11, 2941–2953, https://doi.org/10.5194/gmd-11-2941-2018, https://doi.org/10.5194/gmd-11-2941-2018, 2018
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Global atmospheric chemical transport models are crucial tools in atmospheric science, used to address problems ranging from climate change to acid rain. GEOS-Chem High Performance (GCHP) is a new implementation of the widely used GEOS-Chem model, designed for massively parallel architectures. GCHP v11-02c is shown to be highly scalable from 6 to over 500 cores, enabling the routine simulation of global atmospheric chemistry from the surface to the stratopause at resolutions of ~50 km or finer.
Marta G. Vivanco, Mark R. Theobald, Héctor García-Gómez, Juan Luis Garrido, Marje Prank, Wenche Aas, Mario Adani, Ummugulsum Alyuz, Camilla Andersson, Roberto Bellasio, Bertrand Bessagnet, Roberto Bianconi, Johannes Bieser, Jørgen Brandt, Gino Briganti, Andrea Cappelletti, Gabriele Curci, Jesper H. Christensen, Augustin Colette, Florian Couvidat, Cornelis Cuvelier, Massimo D'Isidoro, Johannes Flemming, Andrea Fraser, Camilla Geels, Kaj M. Hansen, Christian Hogrefe, Ulas Im, Oriol Jorba, Nutthida Kitwiroon, Astrid Manders, Mihaela Mircea, Noelia Otero, Maria-Teresa Pay, Luca Pozzoli, Efisio Solazzo, Svetlana Tsyro, Alper Unal, Peter Wind, and Stefano Galmarini
Atmos. Chem. Phys., 18, 10199–10218, https://doi.org/10.5194/acp-18-10199-2018, https://doi.org/10.5194/acp-18-10199-2018, 2018
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European wet and dry atmospheric deposition of N and S estimated by 14 air quality models was found to vary substantially. An ensemble of models meeting acceptability criteria was used to estimate the exceedances of the critical loads for N in habitats within the Natura 2000 network, as well as their lower and upper limits. Scenarios with 20 % emission reductions in different regions of the world showed that European emissions are responsible for most of the N and S deposition in Europe.
Robert C. Levy, Shana Mattoo, Virginia Sawyer, Yingxi Shi, Peter R. Colarco, Alexei I. Lyapustin, Yujie Wang, and Lorraine A. Remer
Atmos. Meas. Tech., 11, 4073–4092, https://doi.org/10.5194/amt-11-4073-2018, https://doi.org/10.5194/amt-11-4073-2018, 2018
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Global aerosol data sets are essential for assessing climate-related questions. When comparing data sets derived from twin satellite sensors, we find consistent global offsets between morning and afternoon observations. Applying satellite-like sampling to a global model derives much weaker morning/afternoon offsets, suggesting that the observational differences are due to calibration. However, applying additional calibration corrections appears to reduce (but not remove) the global offsets.
Ulas Im, Jesper Heile Christensen, Camilla Geels, Kaj Mantzius Hansen, Jørgen Brandt, Efisio Solazzo, Ummugulsum Alyuz, Alessandra Balzarini, Rocio Baro, Roberto Bellasio, Roberto Bianconi, Johannes Bieser, Augustin Colette, Gabriele Curci, Aidan Farrow, Johannes Flemming, Andrea Fraser, Pedro Jimenez-Guerrero, Nutthida Kitwiroon, Peng Liu, Uarporn Nopmongcol, Laura Palacios-Peña, Guido Pirovano, Luca Pozzoli, Marje Prank, Rebecca Rose, Ranjeet Sokhi, Paolo Tuccella, Alper Unal, Marta G. Vivanco, Greg Yarwood, Christian Hogrefe, and Stefano Galmarini
Atmos. Chem. Phys., 18, 8929–8952, https://doi.org/10.5194/acp-18-8929-2018, https://doi.org/10.5194/acp-18-8929-2018, 2018
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We evaluate the impact of global and regional anthropogenic emission reductions on major air pollutant levels over Europe and North America, using a multi-model ensemble of regional chemistry and transport models. Results show that ozone levels are largely driven by long-range transport over both continents while other pollutants such as carbon monoxide or aerosols are mainly controlled by domestic sources. Use of multi-model ensembles can help to reduce the uncertainties in individual models.
Stefano Galmarini, Ioannis Kioutsioukis, Efisio Solazzo, Ummugulsum Alyuz, Alessandra Balzarini, Roberto Bellasio, Anna M. K. Benedictow, Roberto Bianconi, Johannes Bieser, Joergen Brandt, Jesper H. Christensen, Augustin Colette, Gabriele Curci, Yanko Davila, Xinyi Dong, Johannes Flemming, Xavier Francis, Andrea Fraser, Joshua Fu, Daven K. Henze, Christian Hogrefe, Ulas Im, Marta Garcia Vivanco, Pedro Jiménez-Guerrero, Jan Eiof Jonson, Nutthida Kitwiroon, Astrid Manders, Rohit Mathur, Laura Palacios-Peña, Guido Pirovano, Luca Pozzoli, Marie Prank, Martin Schultz, Rajeet S. Sokhi, Kengo Sudo, Paolo Tuccella, Toshihiko Takemura, Takashi Sekiya, and Alper Unal
Atmos. Chem. Phys., 18, 8727–8744, https://doi.org/10.5194/acp-18-8727-2018, https://doi.org/10.5194/acp-18-8727-2018, 2018
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An ensemble of model results relating to ozone concentrations in Europe in 2010 has been produced and studied. The novelty consists in the fact that the ensemble is made of results of models working at two different scales (regional and global), therefore contributing in detail two different parts of the atmospheric spectrum. The ensemble defined as a hybrid has been studied in detail and shown to bring additional value to the assessment of air quality.
Matthew J. Cooper, Randall V. Martin, Alexei I. Lyapustin, and Chris A. McLinden
Atmos. Meas. Tech., 11, 2983–2994, https://doi.org/10.5194/amt-11-2983-2018, https://doi.org/10.5194/amt-11-2983-2018, 2018
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To accurately infer air pollutant concentrations from satellite observations, we must first know the reflectivity of the Earth’s surface. Using a model, we show that satellite observations are better able to observe NO2 near the surface if snow is present. However, knowing when snow is present is difficult due to its variability. We test seven existing snow cover data sets to assess their ability to inform future satellite observations and find that the IMS data set is best suited for this task.
Danny M. Leung, Amos P. K. Tai, Loretta J. Mickley, Jonathan M. Moch, Aaron van Donkelaar, Lu Shen, and Randall V. Martin
Atmos. Chem. Phys., 18, 6733–6748, https://doi.org/10.5194/acp-18-6733-2018, https://doi.org/10.5194/acp-18-6733-2018, 2018
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This paper investigates how large-scale weather systems control fine particulate matter (PM2.5) air quality in China. We show that winter monsoons, onshore winds and frontal rains can drive daily PM2.5 variability in different regions of China. We further project future PM2.5 concentration change by 2050s due to climate change, and verify that climate change has little benefit on future PM2.5 in Beijing, implying cutting down emissions is necessary to mitigate pollutions in megacities of China.
Michael J. Prather, Clare M. Flynn, Xin Zhu, Stephen D. Steenrod, Sarah A. Strode, Arlene M. Fiore, Gustavo Correa, Lee T. Murray, and Jean-Francois Lamarque
Atmos. Meas. Tech., 11, 2653–2668, https://doi.org/10.5194/amt-11-2653-2018, https://doi.org/10.5194/amt-11-2653-2018, 2018
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A new protocol for merging in situ atmospheric chemistry measurements with 3-D models is developed. This technique can identify the most reactive air parcels in terms of tropospheric production/loss of O3 & CH4. This approach highlights differences in 6 global chemistry models even with composition specified. Thus in situ measurements from, e.g., NASA's ATom mission can be used to develop a chemical climatology of, not only the key species, but also the rates of key reactions in each air parcel.
Ulas Im, Jørgen Brandt, Camilla Geels, Kaj Mantzius Hansen, Jesper Heile Christensen, Mikael Skou Andersen, Efisio Solazzo, Ioannis Kioutsioukis, Ummugulsum Alyuz, Alessandra Balzarini, Rocio Baro, Roberto Bellasio, Roberto Bianconi, Johannes Bieser, Augustin Colette, Gabriele Curci, Aidan Farrow, Johannes Flemming, Andrea Fraser, Pedro Jimenez-Guerrero, Nutthida Kitwiroon, Ciao-Kai Liang, Uarporn Nopmongcol, Guido Pirovano, Luca Pozzoli, Marje Prank, Rebecca Rose, Ranjeet Sokhi, Paolo Tuccella, Alper Unal, Marta Garcia Vivanco, Jason West, Greg Yarwood, Christian Hogrefe, and Stefano Galmarini
Atmos. Chem. Phys., 18, 5967–5989, https://doi.org/10.5194/acp-18-5967-2018, https://doi.org/10.5194/acp-18-5967-2018, 2018
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The impacts of air pollution on human health and their costs in Europe and the United States for the year 2010 ared modeled by a multi-model ensemble. In Europe, the number of premature deaths is calculated to be 414 000, while in the US it is estimated to be 160 000. Health impacts estimated by individual models can vary up to a factor of 3. Results show that the domestic emissions have the largest impact on premature deaths, compared to foreign sources.
Daniele Visioni, Giovanni Pitari, Paolo Tuccella, and Gabriele Curci
Atmos. Chem. Phys., 18, 2787–2808, https://doi.org/10.5194/acp-18-2787-2018, https://doi.org/10.5194/acp-18-2787-2018, 2018
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Sulfate geoengineering is a proposed technique that would mimic explosive volcanic eruptions by injecting sulfur dioxide (SO2) into the stratosphere to counteract global warming produced by greenhouse gases by reflecting part of the incoming solar radiation. In this study we use two models to simulate how the injected aerosols would react to dynamical changes in the stratosphere (due to the quasi-biennial oscillation - QBO) and how this would affect the deposition of sulfate at the surface.
Jingyi Li, Jingqiu Mao, Arlene M. Fiore, Ronald C. Cohen, John D. Crounse, Alex P. Teng, Paul O. Wennberg, Ben H. Lee, Felipe D. Lopez-Hilfiker, Joel A. Thornton, Jeff Peischl, Ilana B. Pollack, Thomas B. Ryerson, Patrick Veres, James M. Roberts, J. Andrew Neuman, John B. Nowak, Glenn M. Wolfe, Thomas F. Hanisco, Alan Fried, Hanwant B. Singh, Jack Dibb, Fabien Paulot, and Larry W. Horowitz
Atmos. Chem. Phys., 18, 2341–2361, https://doi.org/10.5194/acp-18-2341-2018, https://doi.org/10.5194/acp-18-2341-2018, 2018
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We present the first comprehensive model evaluation of summertime reactive oxidized nitrogen using a high-resolution chemistry–climate model with up-to-date isoprene oxidation chemistry, along with a series of observations from aircraft campaigns and ground measurement networks from 2004 to 2013 over the Southeast US. We investigate the impact of NOx emission reductions on changes in reactive nitrogen speciation and export efficiency as well as ozone in the past and future decade.
Duseong S. Jo, Rokjin J. Park, Jaein I. Jeong, Gabriele Curci, Hyung-Min Lee, and Sang-Woo Kim
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-1104, https://doi.org/10.5194/acp-2017-1104, 2017
Preprint retracted
Michael J. Prather, Xin Zhu, Clare M. Flynn, Sarah A. Strode, Jose M. Rodriguez, Stephen D. Steenrod, Junhua Liu, Jean-Francois Lamarque, Arlene M. Fiore, Larry W. Horowitz, Jingqiu Mao, Lee T. Murray, Drew T. Shindell, and Steven C. Wofsy
Atmos. Chem. Phys., 17, 9081–9102, https://doi.org/10.5194/acp-17-9081-2017, https://doi.org/10.5194/acp-17-9081-2017, 2017
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We present a new approach for comparing atmospheric chemistry models with measurements based on what these models are used to do, i.e., calculate changes in ozone and methane, prime greenhouse gases. This method anticipates a new type of measurements from the NASA Atmospheric Tomography (ATom) mission. In comparing the mixture of species within air parcels, we focus on those responsible for key chemical changes and weight these parcels by their chemical reactivity.
Shailesh K. Kharol, Chris A. McLinden, Christopher E. Sioris, Mark W. Shephard, Vitali Fioletov, Aaron van Donkelaar, Sajeev Philip, and Randall V. Martin
Atmos. Chem. Phys., 17, 5921–5929, https://doi.org/10.5194/acp-17-5921-2017, https://doi.org/10.5194/acp-17-5921-2017, 2017
Meiyun Lin, Larry W. Horowitz, Richard Payton, Arlene M. Fiore, and Gail Tonnesen
Atmos. Chem. Phys., 17, 2943–2970, https://doi.org/10.5194/acp-17-2943-2017, https://doi.org/10.5194/acp-17-2943-2017, 2017
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US ozone pollution responds to varying global-to-regional precursor emissions and climate, with implications for designing effective air quality control policies. Asian anthropogenic emissions of ozone precursors tripled since 1990, contributing 65 % to western US ozone increases in spring, outpacing ozone decreases attained via 50 % US emission controls. In the eastern US, if emissions had not declined, more frequent hot extremes since 1990 would have worsened the highest ozone events in summer.
Efisio Solazzo, Roberto Bianconi, Christian Hogrefe, Gabriele Curci, Paolo Tuccella, Ummugulsum Alyuz, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Johannes Bieser, Jørgen Brandt, Jesper H. Christensen, Augistin Colette, Xavier Francis, Andrea Fraser, Marta Garcia Vivanco, Pedro Jiménez-Guerrero, Ulas Im, Astrid Manders, Uarporn Nopmongcol, Nutthida Kitwiroon, Guido Pirovano, Luca Pozzoli, Marje Prank, Ranjeet S. Sokhi, Alper Unal, Greg Yarwood, and Stefano Galmarini
Atmos. Chem. Phys., 17, 3001–3054, https://doi.org/10.5194/acp-17-3001-2017, https://doi.org/10.5194/acp-17-3001-2017, 2017
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As part of the third phase of AQMEII, this study uses timescale analysis to apportion error to the responsible processes, detect causes of model error, and identify the processes and scales that require dedicated investigations. The analysis tackles model performance gauging through measurement-to-model comparison, error decomposition, and time series analysis of model biases for ozone, CO, SO2, NO, NO2, PM10, PM2.5, wind speed, and temperature over Europe and North America.
Ioannis Kioutsioukis, Ulas Im, Efisio Solazzo, Roberto Bianconi, Alba Badia, Alessandra Balzarini, Rocío Baró, Roberto Bellasio, Dominik Brunner, Charles Chemel, Gabriele Curci, Hugo Denier van der Gon, Johannes Flemming, Renate Forkel, Lea Giordano, Pedro Jiménez-Guerrero, Marcus Hirtl, Oriol Jorba, Astrid Manders-Groot, Lucy Neal, Juan L. Pérez, Guidio Pirovano, Roberto San Jose, Nicholas Savage, Wolfram Schroder, Ranjeet S. Sokhi, Dimiter Syrakov, Paolo Tuccella, Johannes Werhahn, Ralf Wolke, Christian Hogrefe, and Stefano Galmarini
Atmos. Chem. Phys., 16, 15629–15652, https://doi.org/10.5194/acp-16-15629-2016, https://doi.org/10.5194/acp-16-15629-2016, 2016
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Four ensemble methods are applied to two annual AQMEII datasets and their performance is compared for O3, NO2 and PM10. The goal of the study is to quantify to what extent we can extract predictable signals from an ensemble with superior skill at each station over the single models and the ensemble mean. The promotion of the right amount of accuracy and diversity within the ensemble results in an average additional skill of up to 31 % compared to using the full ensemble in an unconditional way.
P. Tuccella, G. Curci, G. A. Grell, G. Visconti, S. Crumeyrolle, A. Schwarzenboeck, and A. A. Mensah
Geosci. Model Dev., 8, 2749–2776, https://doi.org/10.5194/gmd-8-2749-2015, https://doi.org/10.5194/gmd-8-2749-2015, 2015
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A parameterization for secondary organic aerosol (SOA) production based on the volatility basis set (VBS) approach has been coupled with microphysics and radiative schemes in the WRF-Chem model. The new chemistry was evaluated on a cloud-resolving scale against ground-based and aircraft measurements collected during the IMPACT-EUCAARI campaign, and complemented with satellite data from MODIS. Sensitivity tests have been performed to study the impact of SOA on cloud prediction and development.
G. Curci, L. Ferrero, P. Tuccella, F. Barnaba, F. Angelini, E. Bolzacchini, C. Carbone, H. A. C. Denier van der Gon, M. C. Facchini, G. P. Gobbi, J. P. P. Kuenen, T. C. Landi, C. Perrino, M. G. Perrone, G. Sangiorgi, and P. Stocchi
Atmos. Chem. Phys., 15, 2629–2649, https://doi.org/10.5194/acp-15-2629-2015, https://doi.org/10.5194/acp-15-2629-2015, 2015
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Particulate matter (PM) at ground level is of primary concern for the quality of the air we breathe. Most direct sources of PM are near the ground, but an important fraction of PM is produced by photochemical processes happening also in the upper atmospheric layers. We investigated the contribution of those layers to the PM near the ground and found a significant impact. Nitrate is a major player in the “vertical direction”, owing to its sensitivity to ambient temperature and relative humidity.
I. Veselovskii, D. N Whiteman, M. Korenskiy, A. Suvorina, A. Kolgotin, A. Lyapustin, Y. Wang, M. Chin, H. Bian, T. L. Kucsera, D. Pérez-Ramírez, and B. Holben
Atmos. Chem. Phys., 15, 1647–1660, https://doi.org/10.5194/acp-15-1647-2015, https://doi.org/10.5194/acp-15-1647-2015, 2015
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The multi-wavelength lidar technique was applied to the study of a smoke event near Washington, DC on 26-28 August 2013. Satellite observations combined with transport model predictions imply that the smoke plume originated mainly from Wyoming/Idaho forest fires. The NASA GSFC multi-wavelength Mie-Raman lidar was used to profile the smoke particle parameters such as volume density, effective radius and the real part of the refractive index.
B. Arvani, R. B. Pierce, A. I. Lyapustin, Y. Wang, G. Ghermandi, and S. Teggi
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-15-123-2015, https://doi.org/10.5194/acpd-15-123-2015, 2015
Revised manuscript not accepted
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The manuscript compares 10km Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 5.1 and new 1 km Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Optical Depth (AOD) retrievals to small (<10 micron) particulate matter (PM10) surface measurements from monitoring stations within the Po Valley in Northern Italy during 2012. When the depth of the planetary boundary layer (PBL) is used to normalize the AOD, we find PM – AOD correlations of 0.98 for both retrievals.
A. Lyapustin, Y. Wang, X. Xiong, G. Meister, S. Platnick, R. Levy, B. Franz, S. Korkin, T. Hilker, J. Tucker, F. Hall, P. Sellers, A. Wu, and A. Angal
Atmos. Meas. Tech., 7, 4353–4365, https://doi.org/10.5194/amt-7-4353-2014, https://doi.org/10.5194/amt-7-4353-2014, 2014
T. F. Eck, B. N. Holben, J. S. Reid, A. Arola, R. A. Ferrare, C. A. Hostetler, S. N. Crumeyrolle, T. A. Berkoff, E. J. Welton, S. Lolli, A. Lyapustin, Y. Wang, J. S. Schafer, D. M. Giles, B. E. Anderson, K. L. Thornhill, P. Minnis, K. E. Pickering, C. P. Loughner, A. Smirnov, and A. Sinyuk
Atmos. Chem. Phys., 14, 11633–11656, https://doi.org/10.5194/acp-14-11633-2014, https://doi.org/10.5194/acp-14-11633-2014, 2014
K. Tsigaridis, N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin, A. Benedetti, T. Bergman, T. K. Berntsen, J. P. Beukes, H. Bian, K. S. Carslaw, M. Chin, G. Curci, T. Diehl, R. C. Easter, S. J. Ghan, S. L. Gong, A. Hodzic, C. R. Hoyle, T. Iversen, S. Jathar, J. L. Jimenez, J. W. Kaiser, A. Kirkevåg, D. Koch, H. Kokkola, Y. H Lee, G. Lin, X. Liu, G. Luo, X. Ma, G. W. Mann, N. Mihalopoulos, J.-J. Morcrette, J.-F. Müller, G. Myhre, S. Myriokefalitakis, N. L. Ng, D. O'Donnell, J. E. Penner, L. Pozzoli, K. J. Pringle, L. M. Russell, M. Schulz, J. Sciare, Ø. Seland, D. T. Shindell, S. Sillman, R. B. Skeie, D. Spracklen, T. Stavrakou, S. D. Steenrod, T. Takemura, P. Tiitta, S. Tilmes, H. Tost, T. van Noije, P. G. van Zyl, K. von Salzen, F. Yu, Z. Wang, Z. Wang, R. A. Zaveri, H. Zhang, K. Zhang, Q. Zhang, and X. Zhang
Atmos. Chem. Phys., 14, 10845–10895, https://doi.org/10.5194/acp-14-10845-2014, https://doi.org/10.5194/acp-14-10845-2014, 2014
J. Strandgren, L. Mei, M. Vountas, J. P. Burrows, A. Lyapustin, and Y. Wang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-14-25869-2014, https://doi.org/10.5194/acpd-14-25869-2014, 2014
Revised manuscript not accepted
X. Hu, L. A. Waller, A. Lyapustin, Y. Wang, and Y. Liu
Atmos. Chem. Phys., 14, 6301–6314, https://doi.org/10.5194/acp-14-6301-2014, https://doi.org/10.5194/acp-14-6301-2014, 2014
P. Zoogman, D. J. Jacob, K. Chance, X. Liu, M. Lin, A. Fiore, and K. Travis
Atmos. Chem. Phys., 14, 6261–6271, https://doi.org/10.5194/acp-14-6261-2014, https://doi.org/10.5194/acp-14-6261-2014, 2014
A. Chudnovsky, C. Tang, A. Lyapustin, Y. Wang, J. Schwartz, and P. Koutrakis
Atmos. Chem. Phys., 13, 10907–10917, https://doi.org/10.5194/acp-13-10907-2013, https://doi.org/10.5194/acp-13-10907-2013, 2013
L. Menut, B. Bessagnet, D. Khvorostyanov, M. Beekmann, N. Blond, A. Colette, I. Coll, G. Curci, G. Foret, A. Hodzic, S. Mailler, F. Meleux, J.-L. Monge, I. Pison, G. Siour, S. Turquety, M. Valari, R. Vautard, and M. G. Vivanco
Geosci. Model Dev., 6, 981–1028, https://doi.org/10.5194/gmd-6-981-2013, https://doi.org/10.5194/gmd-6-981-2013, 2013
V. Naik, A. Voulgarakis, A. M. Fiore, L. W. Horowitz, J.-F. Lamarque, M. Lin, M. J. Prather, P. J. Young, D. Bergmann, P. J. Cameron-Smith, I. Cionni, W. J. Collins, S. B. Dalsøren, R. Doherty, V. Eyring, G. Faluvegi, G. A. Folberth, B. Josse, Y. H. Lee, I. A. MacKenzie, T. Nagashima, T. P. C. van Noije, D. A. Plummer, M. Righi, S. T. Rumbold, R. Skeie, D. T. Shindell, D. S. Stevenson, S. Strode, K. Sudo, S. Szopa, and G. Zeng
Atmos. Chem. Phys., 13, 5277–5298, https://doi.org/10.5194/acp-13-5277-2013, https://doi.org/10.5194/acp-13-5277-2013, 2013
H. Zhang, R. M. Hoff, S. Kondragunta, I. Laszlo, and A. Lyapustin
Atmos. Meas. Tech., 6, 471–486, https://doi.org/10.5194/amt-6-471-2013, https://doi.org/10.5194/amt-6-471-2013, 2013
Related subject area
Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Increased number concentrations of small particles explain perceived stagnation in air quality over Korea
Remote-sensing detectability of airborne Arctic dust
The role of refractive indices in measuring mineral dust with high-spectral-resolution infrared satellite sounders: application to the Gobi Desert
Influence of covariance of aerosol and meteorology on co-located precipitating and non-precipitating clouds over the Indo-Gangetic Plain
Lidar estimates of birch pollen number, mass and related CCN concentrations
Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa
Fluorescence properties of long-range transported smoke: Insights from five-channel lidar observations over Moscow during the 2023 wildfire season
Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence
Distinct effects of Fine and Coarse Aerosols on Microphysical Processes of Shallow Precipitation Systems in Summer over Southern China
The emission, transport, and impacts of the extreme Saharan dust storm of 2015
California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States
Dust storms from the Taklamakan Desert significantly darken snow surface on surrounding mountains
Characterization of AOD anomalies in September and October 2022 over Skukuza in South Africa
Technical note: Evolution of convective boundary layer height estimated by Ka-band continuous millimeter wave radar at Wuhan in central China
Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China
Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations
Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US
A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations
Opinion: Aerosol remote sensing over the next 20 years
Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019
Thermal infrared observations of a western United States biomass burning aerosol plume
A new look into the impacts of dust radiative effects on the energetics of tropical easterly waves
Wind-driven emissions of coarse-mode particles in an urban environment
Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer
Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona
Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments
Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS)
Spectral dependence of birch and pine pollen optical properties using a synergy of lidar instruments
Validation activities of Aeolus wind products on the southeastern Iberian Peninsula
Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations
A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia
Satellite (GOSAT-2 CAI-2) retrieval and surface (ARFINET) observations of aerosol black carbon over India
Spatiotemporal variation characteristics of global fires and their emissions
The (mis)identification of high-latitude dust events using remote sensing methods in the Yukon, Canada: a sub-daily variability analysis
Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe
Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia
Satellite observations of smoke–cloud–radiation interactions over the Amazon rainforest
Single-scattering properties of ellipsoidal dust aerosols constrained by measured dust shape distributions
Validation of the TROPOMI/S5P aerosol layer height using EARLINET lidars
Vertical characterization of fine and coarse dust particles during an intense Saharan dust outbreak over the Iberian Peninsula in springtime 2021
Aerosol optical depth regime over megacities of the world
South American 2020 regional smoke plume: intercomparison with previous years, impact on solar radiation, and the role of Pantanal biomass burning season
Circular polarization in atmospheric aerosols
Spatiotemporal continuous estimates of daily 1 km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework
Robust evidence for reversal of the trend in aerosol effective climate forcing
Simultaneous retrievals of biomass burning aerosols and trace gases from the ultraviolet to near-infrared over northern Thailand during the 2019 pre-monsoon season
A decadal assessment of the climatology of aerosol and cloud properties over South Africa
Aerosol characterisation in the subtropical eastern North Atlantic region using long-term AERONET measurements
Long-range transport of Asian dust to the Arctic: identification of transport pathways, evolution of aerosol optical properties, and impact assessment on surface albedo changes
Canadian and Alaskan wildfire smoke particle properties, their evolution, and controlling factors, from satellite observations
Sohee Joo, Juseon Shin, Matthias Tesche, Naghmeh Dehkhoda, Taegyeong Kim, and Youngmin Noh
Atmos. Chem. Phys., 25, 1023–1036, https://doi.org/10.5194/acp-25-1023-2025, https://doi.org/10.5194/acp-25-1023-2025, 2025
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In our study, we investigated why, in northeast Asia, visibility has not improved even though air pollution levels have decreased. By examining trends in Seoul and Ulsan, we found that the particles in the air are getting smaller, which scatters light more effectively and reduces how far we can see. Our findings suggest that changes in particle properties adversely affected public perception of air quality improvement even though the PM2.5 mass concentration is continuously decreasing.
Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Yann Blanchard, Seyed Ali Sayedain, and Yasmin AboEl-Fetouh
Atmos. Chem. Phys., 25, 27–44, https://doi.org/10.5194/acp-25-27-2025, https://doi.org/10.5194/acp-25-27-2025, 2025
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Dust from mid-latitude deserts or from local drainage basins is a weak component of atmospheric aerosols in the Arctic. Satellite-based dust estimates are often overestimated because dust and cloud measurements can be confused. Illustrations are given with an emphasis on the flawed claim that a classic indicator of dust (negative brightness temperature differences) is proof of the presence of airborne Arctic dust. Low-altitude warm-water plumes are the likely source of such negative values.
Perla Alalam, Fabrice Ducos, and Hervé Herbin
Atmos. Chem. Phys., 24, 12277–12294, https://doi.org/10.5194/acp-24-12277-2024, https://doi.org/10.5194/acp-24-12277-2024, 2024
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This study dives into the impact of mineral dust laboratory complex refractive indices (CRIs) on quantifying the dust microphysical properties using satellite infrared remote sensing. Results show that using CRIs obtained by advanced realistic techniques can improve the accuracy of these measurements, emphasizing the importance of choosing the suitable CRI in atmospheric models. This improvement is crucial for better predicting the dust radiative effect and impact on the climate.
Nabia Gulistan, Khan Alam, and Yangang Liu
Atmos. Chem. Phys., 24, 11333–11349, https://doi.org/10.5194/acp-24-11333-2024, https://doi.org/10.5194/acp-24-11333-2024, 2024
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This study looks at the influence of aerosol and meteorology on precipitating and non-precipitating clouds over the Indo-Gangetic Plain (IGP). A major finding of this study was that the high loading of aerosols led to a high occurrence of precipitating clouds under unstable conditions in summer. The study has the potential to open a new avenue for the scientific community to further explore and understand the complications of aerosol–cloud–precipitation over the complex topography of the IGP.
Maria Filioglou, Petri Tiitta, Xiaoxia Shang, Ari Leskinen, Pasi Ahola, Sanna Pätsi, Annika Saarto, Ville Vakkari, Uula Isopahkala, and Mika Komppula
EGUsphere, https://doi.org/10.5194/egusphere-2024-3032, https://doi.org/10.5194/egusphere-2024-3032, 2024
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Every year a vast number of people experience allergic reactions due to exposure in airborne pollen. These symptoms are concentration-dependent thus, accurate information of the pollen load in the atmosphere is essential. Moreover, pollen grains and fragments of it are likely to contribute to cloud processes and suppress precipitation. In this work, we estimate the concentration and cloud-relevant parameters of birch pollen in the atmosphere using observations from a ceilometer instrument.
Myungje Choi, Alexei Lyapustin, Gregory L. Schuster, Sujung Go, Yujie Wang, Sergey Korkin, Ralph Kahn, Jeffrey S. Reid, Edward J. Hyer, Thomas F. Eck, Mian Chin, David J. Diner, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, and Hans Moosmüller
Atmos. Chem. Phys., 24, 10543–10565, https://doi.org/10.5194/acp-24-10543-2024, https://doi.org/10.5194/acp-24-10543-2024, 2024
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This paper introduces a retrieval algorithm to estimate two key absorbing components in smoke (black carbon and brown carbon) using DSCOVR EPIC measurements. Our analysis reveals distinct smoke properties, including spectral absorption, layer height, and black carbon and brown carbon, over North America and central Africa. The retrieved smoke properties offer valuable observational constraints for modeling radiative forcing and informing health-related studies.
Igor Veselovskii, Mikhail Korenskiy, Nikita Kasianik, Boris Barchunov, Qiaoyun Hu, Philippe Goloub, and Thierry Podvin
EGUsphere, https://doi.org/10.5194/egusphere-2024-2874, https://doi.org/10.5194/egusphere-2024-2874, 2024
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A fluorescence lidar was utilized to study transported smoke during the wildfire season from May to September 2023. The lidar performs fluorescence measurements at 5 wavelengths. Observations reveal that the fluorescence capacity increases with altitude, suggesting higher concentration of organic compounds in the UTLS compared to the lower troposphere. And urban aerosol fluorescence tends to decrease with wavelength, while the peak of smoke fluorescence is observed at 513 or 560 nm channels.
Benedikt Gast, Cristofer Jimenez, Albert Ansmann, Moritz Haarig, Ronny Engelmann, Felix Fritzsch, Athena Augusta Floutsi, Hannes Griesche, Kevin Ohneiser, Julian Hofer, Martin Radenz, Holger Baars, Patric Seifert, and Ulla Wandinger
EGUsphere, https://doi.org/10.5194/egusphere-2024-2586, https://doi.org/10.5194/egusphere-2024-2586, 2024
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In this study, we discuss the enhanced detection capabilities of a fluorescence lidar in the case of optically thin aerosol layers in the upper troposphere and lower stratosphere (UTLS) region. Our results suggest that such thin aerosol layers are not so rare in the UTLS and can potentially trigger and impact cirrus cloud formation through heterogeneous ice nucleation. By altering the microphysical cloud properties, this could affect cloud evolution and lifetime, and thus their climate effect.
Fengjiao Chen, Yuanjian Yang, Lu Yu, Yang Li, Weiguang Liu, Yan Liu, and Simone Lolli
EGUsphere, https://doi.org/10.5194/egusphere-2024-2206, https://doi.org/10.5194/egusphere-2024-2206, 2024
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The precipitation microphysical mechanisms responsible for the varied impacts of aerosols on shallow precipitation remain unclear. This study reveals that coarse aerosols invigorate shallow rainfall through enhanced coalescence processes, whereas fine aerosols suppress shallow rainfall via intensified breakup microphysical processes. These impacts are independent of thermodynamic environments but are more significant in low-humidity conditions.
Brian Harr, Bing Pu, and Qinjian Jin
Atmos. Chem. Phys., 24, 8625–8651, https://doi.org/10.5194/acp-24-8625-2024, https://doi.org/10.5194/acp-24-8625-2024, 2024
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We found that the formation of the extreme trans-Atlantic African dust event in June 2015 was associated with a brief surge in dust emissions over western North Africa and extreme circulation patterns, including intensified easterly jets, which facilitated the westward transport of dust. The dust plume modified radiative flux along its transport pathway but had minor impacts on air quality in the US due to the record-high Caribbean low-level jet advecting part of the plume to the Pacific.
James L. Gomez, Robert J. Allen, and King-Fai Li
Atmos. Chem. Phys., 24, 6937–6963, https://doi.org/10.5194/acp-24-6937-2024, https://doi.org/10.5194/acp-24-6937-2024, 2024
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Wildfires in California (CA) have grown very large during the past 20 years. These fires emit sunlight-absorbing aerosols. Analyzing observational data, our study finds that aerosols emitted from large fires in northern CA spread throughout CA and Nevada and heat the atmosphere. This heating is consistent with larger-than-normal temperatures and dry conditions. Further study is needed to determine how much the aerosols heat the atmosphere and whether they are drying the atmosphere as well.
Yuxuan Xing, Yang Chen, Shirui Yan, Xiaoyi Cao, Yong Zhou, Xueying Zhang, Tenglong Shi, Xiaoying Niu, Dongyou Wu, Jiecan Cui, Yue Zhou, Xin Wang, and Wei Pu
Atmos. Chem. Phys., 24, 5199–5219, https://doi.org/10.5194/acp-24-5199-2024, https://doi.org/10.5194/acp-24-5199-2024, 2024
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This study investigated the impact of dust storms from the Taklamakan Desert on surrounding high mountains and regional radiation balance. Using satellite data and simulations, researchers found that dust storms significantly darken the snow surface in the Tien Shan, Kunlun, and Qilian mountains, reaching mountains up to 1000 km away. This darkening occurs not only in spring but also during summer and autumn, leading to increased absorption of solar radiation.
Marion Ranaivombola, Nelson Bègue, Farahnaz Fazel-Rastgar, Venkataraman Sivakumar, Gisèle Krysztofiak, Gwenaël Berthet, Fabrice Jegou, Stuart Piketh, and Hassan Bencherif
EGUsphere, https://doi.org/10.5194/egusphere-2024-921, https://doi.org/10.5194/egusphere-2024-921, 2024
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From September to October 2022, the Biomass Burning Aerosol Campaign (BiBAC) in Kruger National Park revealed a significant aerosol loading linked to biomass burning activity, with a southeastward transport over Southern Africa and the southwestern of Indian Ocean (SWIO) basin. The "river of smoke" phenomenon drove the plume during September toward the SWIO. One discusses the long-range transport of biomass burning from South America to Southern Africa is likely driven by climate forcings.
Zirui Zhang, Kaiming Huang, Fan Yi, Fuchao Liu, Jian Zhang, and Yue Jia
EGUsphere, https://doi.org/10.5194/egusphere-2024-933, https://doi.org/10.5194/egusphere-2024-933, 2024
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The CBLH is related to our health due to its crucial role in pollutant dispersion. The vertical velocity from MMCR can capture the CBLH evolution, especially the initial stage of CBLH rise and the final stage of CBLH dissipation due to little blind range and less impact by residual layer, thus the MMCR observation can clearly identify the diurnal evolution of CBLH. The study shows that the CBLH has an obvious seasonal feature, and is affected by radiation, humidity, cloud and precipitation.
Yuqin Liu, Tao Lin, Jiahua Zhang, Fu Wang, Yiyi Huang, Xian Wu, Hong Ye, Guoqin Zhang, Xin Cao, and Gerrit de Leeuw
Atmos. Chem. Phys., 24, 4651–4673, https://doi.org/10.5194/acp-24-4651-2024, https://doi.org/10.5194/acp-24-4651-2024, 2024
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A new method, the geographical detector method (GDM), has been applied to satellite data, in addition to commonly used statistical methods, to study the sensitivity of cloud properties to aerosol over China. Different constraints for aerosol and cloud liquid water path apply over polluted and clean areas. The GDM shows that cloud parameters are more sensitive to combinations of parameters than to individual parameters, but confounding effects due to co-variation of parameters cannot be excluded.
Kangwen Sun, Guangyao Dai, Songhua Wu, Oliver Reitebuch, Holger Baars, Jiqiao Liu, and Suping Zhang
Atmos. Chem. Phys., 24, 4389–4409, https://doi.org/10.5194/acp-24-4389-2024, https://doi.org/10.5194/acp-24-4389-2024, 2024
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This paper investigates the correlation between marine aerosol optical properties and wind speeds over remote oceans using the spaceborne lidars ALADIN and CALIOP. Three remote ocean areas are selected. Pure marine aerosol optical properties at 355 nm are derived from ALADIN. The relationships between marine aerosol optical properties and wind speeds are analyzed within and above the marine atmospheric boundary layer, revealing the effect of wind speed on marine aerosols over remote oceans.
Jingting Huang, S. Marcela Loría-Salazar, Min Deng, Jaehwa Lee, and Heather A. Holmes
Atmos. Chem. Phys., 24, 3673–3698, https://doi.org/10.5194/acp-24-3673-2024, https://doi.org/10.5194/acp-24-3673-2024, 2024
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Increased wildfire intensity has resulted in taller wildfire smoke plumes. We investigate the vertical structure of wildfire smoke plumes using aircraft lidar data and establish two effective smoke plume height metrics. Four novel satellite-based plume height products are evaluated for wildfires in the western US. Our results provide guidance on the strengths and limitations of these satellite products and set the stage for improved plume rise estimates by leveraging satellite products.
Piyushkumar N. Patel, Jonathan H. Jiang, Ritesh Gautam, Harish Gadhavi, Olga Kalashnikova, Michael J. Garay, Lan Gao, Feng Xu, and Ali Omar
Atmos. Chem. Phys., 24, 2861–2883, https://doi.org/10.5194/acp-24-2861-2024, https://doi.org/10.5194/acp-24-2861-2024, 2024
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Global measurements of cloud condensation nuclei (CCN) are essential for understanding aerosol–cloud interactions and predicting climate change. To address this gap, we introduced a remote sensing algorithm that retrieves vertically resolved CCN number concentrations from airborne and spaceborne lidar systems. This innovation offers a global distribution of CCN concentrations from space, facilitating model evaluation and precise quantification of aerosol climate forcing.
Lorraine A. Remer, Robert C. Levy, and J. Vanderlei Martins
Atmos. Chem. Phys., 24, 2113–2127, https://doi.org/10.5194/acp-24-2113-2024, https://doi.org/10.5194/acp-24-2113-2024, 2024
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Aerosols are small liquid or solid particles suspended in the atmosphere, including smoke, particulate pollution, dust, and sea salt. Today, we rely on satellites viewing Earth's atmosphere to learn about these particles. Here, we speculate on the future to imagine how satellite viewing of aerosols will change. We expect more public and private satellites with greater capabilities, better ways to infer information from satellites, and merging of data with models.
Xiaoxia Shang, Antti Lipponen, Maria Filioglou, Anu-Maija Sundström, Mark Parrington, Virginie Buchard, Anton S. Darmenov, Ellsworth J. Welton, Eleni Marinou, Vassilis Amiridis, Michael Sicard, Alejandro Rodríguez-Gómez, Mika Komppula, and Tero Mielonen
Atmos. Chem. Phys., 24, 1329–1344, https://doi.org/10.5194/acp-24-1329-2024, https://doi.org/10.5194/acp-24-1329-2024, 2024
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In June 2019, smoke particles from a Canadian wildfire event were transported to Europe. The long-range-transported smoke plumes were monitored with a spaceborne lidar and reanalysis models. Based on the aerosol mass concentrations estimated from the observations, the reanalysis models had difficulties in reproducing the amount and location of the smoke aerosols during the transport event. Consequently, more spaceborne lidar missions are needed for reliable monitoring of aerosol plumes.
Blake T. Sorenson, Jeffrey S. Reid, Jianglong Zhang, Robert E. Holz, William L. Smith Sr., and Amanda Gumber
Atmos. Chem. Phys., 24, 1231–1248, https://doi.org/10.5194/acp-24-1231-2024, https://doi.org/10.5194/acp-24-1231-2024, 2024
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Smoke particles are typically submicron in size and assumed to have negligible impacts at the thermal infrared spectrum. However, we show that infrared signatures can be observed over dense smoke plumes from satellites. We found that giant particles are unlikely to be the dominant cause. Rather, co-transported water vapor injected to the middle to upper troposphere and surface cooling beneath the plume due to shadowing are significant, with the surface cooling effect being the most dominant.
Farnaz Hosseinpour and Eric M. Wilcox
Atmos. Chem. Phys., 24, 707–724, https://doi.org/10.5194/acp-24-707-2024, https://doi.org/10.5194/acp-24-707-2024, 2024
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This study shows mechanistic relationships between the radiative effect of dust aerosols in the Saharan air layer and the kinetic energy of the African easterly waves across the tropical Atlantic Ocean using 22 years of daily satellite observations and reanalysis data based on satellite assimilation. Our findings suggest that dust aerosols not merely are transported by these waves but also contribute to the growth of waves through the enhancement of diabatic heating induced by dust.
Markus D. Petters, Tyas Pujiastuti, Ajmal Rasheeda Satheesh, Sabin Kasparoglu, Bethany Sutherland, and Nicholas Meskhidze
Atmos. Chem. Phys., 24, 745–762, https://doi.org/10.5194/acp-24-745-2024, https://doi.org/10.5194/acp-24-745-2024, 2024
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This work introduces a new method that uses remote sensing techniques to obtain surface number emissions of particles with a diameter greater than 500 nm. The technique was applied to study particle emissions at an urban site near Houston, TX, USA. The emissions followed a diurnal pattern and peaked near noon local time. The daily averaged emissions correlated with wind speed. The source is likely due to wind-driven erosion of material situated on asphalted and other hard surfaces.
Zhuang Wang, Chune Shi, Hao Zhang, Yujia Chen, Xiyuan Chi, Congzi Xia, Suyao Wang, Yizhi Zhu, Kaidi Zhang, Xintong Chen, Chengzhi Xing, and Cheng Liu
Atmos. Chem. Phys., 23, 14271–14292, https://doi.org/10.5194/acp-23-14271-2023, https://doi.org/10.5194/acp-23-14271-2023, 2023
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The annual cycle of dust and anthropogenic aerosols' vertical distributions was revealed by polarization Raman lidar in Beijing. Anthropogenic aerosols typically accumulate at the top of the mixing layer (ML) due to the hygroscopic growth of atmospheric particles, and this is most significant in summer. There is no significant relationship between bottom dust mass concentration and ML height, while the dust in the upper air tends to be distributed near the mixing layer.
Simone Lolli, Michaël Sicard, Francesco Amato, Adolfo Comeron, Cristina Gíl-Diaz, Tony C. Landi, Constantino Munoz-Porcar, Daniel Oliveira, Federico Dios Otin, Francesc Rocadenbosch, Alejandro Rodriguez-Gomez, Andrés Alastuey, Xavier Querol, and Cristina Reche
Atmos. Chem. Phys., 23, 12887–12906, https://doi.org/10.5194/acp-23-12887-2023, https://doi.org/10.5194/acp-23-12887-2023, 2023
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We evaluated the long-term trends and seasonal variability of the vertically resolved aerosol properties over the past 17 years in Barcelona. Results shows that air quality is improved, with a consistent drop in PM concentrations at the surface, as well as the column aerosol optical depth. The results also show that natural dust outbreaks are more likely in summer, with aerosols reaching an altitude of 5 km, while in winter, aerosols decay as an exponential with a scale height of 600 m.
Ludovico Di Antonio, Claudia Di Biagio, Gilles Foret, Paola Formenti, Guillaume Siour, Jean-François Doussin, and Matthias Beekmann
Atmos. Chem. Phys., 23, 12455–12475, https://doi.org/10.5194/acp-23-12455-2023, https://doi.org/10.5194/acp-23-12455-2023, 2023
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Long-term (2000–2021) 1 km resolution satellite data have been used to investigate the climatological aerosol optical depth (AOD) variability and trends at different scales in Europe. Average enhancements of the local-to-regional AOD ratio at 550 nm of 57 %, 55 %, 39 % and 32 % are found for large metropolitan areas such as Barcelona, Lisbon, Paris and Athens, respectively, suggesting a non-negligible enhancement of the aerosol burden through local emissions.
Sebastien Garrigues, Melanie Ades, Samuel Remy, Johannes Flemming, Zak Kipling, Istvan Laszlo, Mark Parrington, Antje Inness, Roberto Ribas, Luke Jones, Richard Engelen, and Vincent-Henri Peuch
Atmos. Chem. Phys., 23, 10473–10487, https://doi.org/10.5194/acp-23-10473-2023, https://doi.org/10.5194/acp-23-10473-2023, 2023
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The Copernicus Atmosphere Monitoring Service (CAMS) provides global monitoring of aerosols using the ECMWF forecast model constrained by the assimilation of satellite aerosol optical depth (AOD). This work aims at evaluating the assimilation of the NOAA VIIRS AOD product in the ECMWF model. It shows that the introduction of VIIRS in the CAMS data assimilation system enhances the accuracy of the aerosol analysis, particularly over Europe and desert and maritime sites.
Maria Filioglou, Ari Leskinen, Ville Vakkari, Ewan O'Connor, Minttu Tuononen, Pekko Tuominen, Samuli Laukkanen, Linnea Toiviainen, Annika Saarto, Xiaoxia Shang, Petri Tiitta, and Mika Komppula
Atmos. Chem. Phys., 23, 9009–9021, https://doi.org/10.5194/acp-23-9009-2023, https://doi.org/10.5194/acp-23-9009-2023, 2023
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Pollen impacts climate and public health, and it can be detected in the atmosphere by lidars which measure the linear particle depolarization ratio (PDR), a shape-relevant optical parameter. As aerosols also cause depolarization, surface aerosol and pollen observations were combined with measurements from ground-based lidars operating at different wavelengths to determine the optical properties of birch and pine pollen and quantify their relative contribution to the PDR.
Jesús Abril-Gago, Pablo Ortiz-Amezcua, Diego Bermejo-Pantaleón, Juana Andújar-Maqueda, Juan Antonio Bravo-Aranda, María José Granados-Muñoz, Francisco Navas-Guzmán, Lucas Alados-Arboledas, Inmaculada Foyo-Moreno, and Juan Luis Guerrero-Rascado
Atmos. Chem. Phys., 23, 8453–8471, https://doi.org/10.5194/acp-23-8453-2023, https://doi.org/10.5194/acp-23-8453-2023, 2023
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Validation activities of Aeolus wind products were performed in Granada with different upward-probing instrumentation (Doppler lidar system and radiosondes) and spatiotemporal collocation criteria. Specific advantages and disadvantages of each instrument were identified, and an optimal comparison criterion is proposed. Aeolus was proven to provide reliable wind products, and the upward-probing instruments were proven to be useful for Aeolus wind product validation activities.
Jianyu Zheng, Zhibo Zhang, Hongbin Yu, Anne Garnier, Qianqian Song, Chenxi Wang, Claudia Di Biagio, Jasper F. Kok, Yevgeny Derimian, and Claire Ryder
Atmos. Chem. Phys., 23, 8271–8304, https://doi.org/10.5194/acp-23-8271-2023, https://doi.org/10.5194/acp-23-8271-2023, 2023
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We developed a multi-year satellite-based retrieval of dust optical depth at 10 µm and the coarse-mode dust effective diameter over global oceans. It reveals climatological coarse-mode dust transport patterns and regional differences over the North Atlantic, the Indian Ocean and the North Pacific.
Shikuan Jin, Yingying Ma, Zhongwei Huang, Jianping Huang, Wei Gong, Boming Liu, Weiyan Wang, Ruonan Fan, and Hui Li
Atmos. Chem. Phys., 23, 8187–8210, https://doi.org/10.5194/acp-23-8187-2023, https://doi.org/10.5194/acp-23-8187-2023, 2023
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To better understand the Asian aerosol environment, we studied distributions and trends of aerosol with different sizes and types. Over the past 2 decades, dust, sulfate, and sea salt aerosol decreased by 5.51 %, 3.07 %, and 9.80 %, whereas organic carbon and black carbon aerosol increased by 17.09 % and 6.23 %, respectively. The increase in carbonaceous aerosols was a feature of Asia. An exception is found in East Asia, where the carbonaceous aerosols reduced, owing largely to China's efforts.
Mukunda M. Gogoi, S. Suresh Babu, Ryoichi Imasu, and Makiko Hashimoto
Atmos. Chem. Phys., 23, 8059–8079, https://doi.org/10.5194/acp-23-8059-2023, https://doi.org/10.5194/acp-23-8059-2023, 2023
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Considering the climate warming potential of atmospheric black carbon (BC), satellite-based retrieval is a novel idea. This study highlights the regional distribution of BC based on observations by the Cloud and Aerosol Imager-2 on board the GOSAT-2 satellite and near-surface measurements of BC in ARFINET. The satellite retrieval fairly depicts the regional and seasonal features of BC over the Indian region, which are similar to those recorded by surface observations.
Hao Fan, Xingchuan Yang, Chuanfeng Zhao, Yikun Yang, and Zhenyao Shen
Atmos. Chem. Phys., 23, 7781–7798, https://doi.org/10.5194/acp-23-7781-2023, https://doi.org/10.5194/acp-23-7781-2023, 2023
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Using 20-year multi-source data, this study shows pronounced regional and seasonal variations in fire activities and emissions. Seasonal variability of fires is larger with increasing latitude. The increase in temperature in the Northern Hemisphere's middle- and high-latitude forest regions was primarily responsible for the increase in fires and emissions, while the changes in fire occurrence in tropical regions were more influenced by the decrease in precipitation and relative humidity.
Rosemary Huck, Robert G. Bryant, and James King
Atmos. Chem. Phys., 23, 6299–6318, https://doi.org/10.5194/acp-23-6299-2023, https://doi.org/10.5194/acp-23-6299-2023, 2023
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This study shows that mineral aerosol (dust) emission events in high-latitude areas are under-represented in both ground- and space-based detecting methods. This is done through a suite of ground-based data to prove that dust emissions from the proglacial area, Lhù’ààn Mân, occur almost daily but are not always recorded at different timescales. Dust has multiple effects on atmospheric processes; therefore, accurate quantification is important in the calibration and validation of climate models.
Michail Mytilinaios, Sara Basart, Sergio Ciamprone, Juan Cuesta, Claudio Dema, Enza Di Tomaso, Paola Formenti, Antonis Gkikas, Oriol Jorba, Ralph Kahn, Carlos Pérez García-Pando, Serena Trippetta, and Lucia Mona
Atmos. Chem. Phys., 23, 5487–5516, https://doi.org/10.5194/acp-23-5487-2023, https://doi.org/10.5194/acp-23-5487-2023, 2023
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Multiscale Online Non-hydrostatic AtmospheRe CHemistry model (MONARCH) dust reanalysis provides a high-resolution 3D reconstruction of past dust conditions, allowing better quantification of climate and socioeconomic dust impacts. We assess the performance of the reanalysis needed to reproduce dust optical depth using dust-related products retrieved from satellite and ground-based observations and show that it reproduces the spatial distribution and seasonal variability of atmospheric dust well.
Jacob Z. Tindan, Qinjian Jin, and Bing Pu
Atmos. Chem. Phys., 23, 5435–5466, https://doi.org/10.5194/acp-23-5435-2023, https://doi.org/10.5194/acp-23-5435-2023, 2023
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We use the Infrared Atmospheric Sounder Interferometer (IASI) retrievals of dust variables (dust optical depth and dust layer height) and surface observations to understand the day- and nighttime variations in dust aerosols over the dust belt. Our results show that daytime dust aerosols are significantly different from nighttime, and such day–night variations are influenced by meteorological factors such as wind speed, precipitation, and turbulent motions within the atmospheric boundary layer.
Ross Herbert and Philip Stier
Atmos. Chem. Phys., 23, 4595–4616, https://doi.org/10.5194/acp-23-4595-2023, https://doi.org/10.5194/acp-23-4595-2023, 2023
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We provide robust evidence from multiple sources showing that smoke from fires in the Amazon rainforest significantly modifies the diurnal cycle of convection and cools the climate. Low to moderate amounts of smoke increase deep convective clouds and rain, whilst beyond a threshold amount, the smoke starts to suppress the convection and rain. We are currently at this threshold, suggesting increases in fires from agricultural practices or droughts will reduce cloudiness and rain over the region.
Yue Huang, Jasper F. Kok, Masanori Saito, and Olga Muñoz
Atmos. Chem. Phys., 23, 2557–2577, https://doi.org/10.5194/acp-23-2557-2023, https://doi.org/10.5194/acp-23-2557-2023, 2023
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Global aerosol models and remote sensing retrievals use dust optical models with inconsistent and inaccurate dust shape approximations. Here, we present a new dust optical model constrained by measured dust shape distributions. This new dust optical model is an improvement on the current dust optical models used in models and retrieval algorithms, as quantified by comparisons against laboratory and field observations of dust optics.
Konstantinos Michailidis, Maria-Elissavet Koukouli, Dimitris Balis, J. Pepijn Veefkind, Martin de Graaf, Lucia Mona, Nikolaos Papagianopoulos, Gesolmina Pappalardo, Ioanna Tsikoudi, Vassilis Amiridis, Eleni Marinou, Anna Gialitaki, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Daniele Bortoli, Maria João Costa, Vanda Salgueiro, Alexandros Papayannis, Maria Mylonaki, Lucas Alados-Arboledas, Salvatore Romano, Maria Rita Perrone, and Holger Baars
Atmos. Chem. Phys., 23, 1919–1940, https://doi.org/10.5194/acp-23-1919-2023, https://doi.org/10.5194/acp-23-1919-2023, 2023
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Comparisons with ground-based correlative lidar measurements constitute a key component in the validation of satellite aerosol products. This paper presents the validation of the TROPOMI aerosol layer height (ALH) product, using archived quality assured ground-based data from lidar stations that belong to the EARLINET network. Comparisons between the TROPOMI ALH and co-located EARLINET measurements show good agreement over the ocean.
María Ángeles López-Cayuela, Carmen Córdoba-Jabonero, Diego Bermejo-Pantaleón, Michaël Sicard, Vanda Salgueiro, Francisco Molero, Clara Violeta Carvajal-Pérez, María José Granados-Muñoz, Adolfo Comerón, Flavio T. Couto, Rubén Barragán, María-Paz Zorzano, Juan Antonio Bravo-Aranda, Constantino Muñoz-Porcar, María João Costa, Begoña Artíñano, Alejandro Rodríguez-Gómez, Daniele Bortoli, Manuel Pujadas, Jesús Abril-Gago, Lucas Alados-Arboledas, and Juan Luis Guerrero-Rascado
Atmos. Chem. Phys., 23, 143–161, https://doi.org/10.5194/acp-23-143-2023, https://doi.org/10.5194/acp-23-143-2023, 2023
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An intense Saharan dust outbreak crossing the Iberian Peninsula in springtime was monitored to determinine the specific contribution of fine and coarse dust particles at five lidar stations, strategically covering its SW–central–NE pathway. Expected dust ageing along the transport started unappreciated. A different fine-dust impact on optical (~30 %) and mass (~10 %) properties was found. Use of polarized lidar measurements (mainly in elastic systems) for fine/coarse dust separation is crucial.
Kyriakoula Papachristopoulou, Ioannis-Panagiotis Raptis, Antonis Gkikas, Ilias Fountoulakis, Akriti Masoom, and Stelios Kazadzis
Atmos. Chem. Phys., 22, 15703–15727, https://doi.org/10.5194/acp-22-15703-2022, https://doi.org/10.5194/acp-22-15703-2022, 2022
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Megacities' air quality is determined by atmospheric aerosols. We focus on changes over the last two decades in the 81 largest cities, using satellite data. European and American cities have lower aerosol compared to African and Asian cities. For European, North American and East Asian cities, aerosols are decreasing over time, especially in China and the US. In the remaining cities, aerosol loads are increasing, particularly in India.
Nilton Évora do Rosário, Elisa Thomé Sena, and Marcia Akemi Yamasoe
Atmos. Chem. Phys., 22, 15021–15033, https://doi.org/10.5194/acp-22-15021-2022, https://doi.org/10.5194/acp-22-15021-2022, 2022
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The 2020 burning season in Brazil was marked by an atypically high number of fire spots across Pantanal, leading to high amounts of smoke within the biome. This study shows that smoke over Pantanal, usually a fraction of that over Amazonia, was higher and resulted mainly from fires in conservation and indigenous areas. It also contributes to highlighting Pantanal's 2020 burning season as the worst combination of a climate extreme scenario and inadequately enforced environmental regulations.
Santiago Gassó and Kirk D. Knobelspiesse
Atmos. Chem. Phys., 22, 13581–13605, https://doi.org/10.5194/acp-22-13581-2022, https://doi.org/10.5194/acp-22-13581-2022, 2022
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Atmospheric particles interact with light resulting in observable optical polarization. Thus, we can learn about their composition from space. New satellite sensor technology measures full polarization of reflected sunlight. This paper considers circular polarization, an overlooked category of polarization with distinctive features that could bring new insights. We review existing literature and make novel computations to consider this previously underappreciated category of polarization.
Qingyang Xiao, Guannan Geng, Shigan Liu, Jiajun Liu, Xia Meng, and Qiang Zhang
Atmos. Chem. Phys., 22, 13229–13242, https://doi.org/10.5194/acp-22-13229-2022, https://doi.org/10.5194/acp-22-13229-2022, 2022
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We provided complete coverage PM2.5 concentrations at a 1-km resolution from 2000 to the present, carefully considering the significant changes in land use characteristics in China. This high-resolution PM2.5 data successfully revealed the local-scale PM2.5 variations. We noticed changes in PM2.5 spatial patterns in association with the clean air policies, with the pollution hotspots having transferred from urban centers to rural regions with limited air quality monitoring.
Johannes Quaas, Hailing Jia, Chris Smith, Anna Lea Albright, Wenche Aas, Nicolas Bellouin, Olivier Boucher, Marie Doutriaux-Boucher, Piers M. Forster, Daniel Grosvenor, Stuart Jenkins, Zbigniew Klimont, Norman G. Loeb, Xiaoyan Ma, Vaishali Naik, Fabien Paulot, Philip Stier, Martin Wild, Gunnar Myhre, and Michael Schulz
Atmos. Chem. Phys., 22, 12221–12239, https://doi.org/10.5194/acp-22-12221-2022, https://doi.org/10.5194/acp-22-12221-2022, 2022
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Pollution particles cool climate and offset part of the global warming. However, they are washed out by rain and thus their effect responds quickly to changes in emissions. We show multiple datasets to demonstrate that aerosol emissions and their concentrations declined in many regions influenced by human emissions, as did the effects on clouds. Consequently, the cooling impact on the Earth energy budget became smaller. This change in trend implies a relative warming.
Ukkyo Jeong, Si-Chee Tsay, N. Christina Hsu, David M. Giles, John W. Cooper, Jaehwa Lee, Robert J. Swap, Brent N. Holben, James J. Butler, Sheng-Hsiang Wang, Somporn Chantara, Hyunkee Hong, Donghee Kim, and Jhoon Kim
Atmos. Chem. Phys., 22, 11957–11986, https://doi.org/10.5194/acp-22-11957-2022, https://doi.org/10.5194/acp-22-11957-2022, 2022
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Ultraviolet (UV) measurements from satellite and ground are important for deriving information on several atmospheric trace and aerosol characteristics. Simultaneous retrievals of aerosol and trace gases in this study suggest that water uptake by aerosols is one of the important phenomena affecting aerosol properties over northern Thailand, which is important for regional air quality and climate. Obtained aerosol properties covering the UV are also important for various satellite algorithms.
Abdulaziz Tunde Yakubu and Naven Chetty
Atmos. Chem. Phys., 22, 11065–11087, https://doi.org/10.5194/acp-22-11065-2022, https://doi.org/10.5194/acp-22-11065-2022, 2022
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This study examined the source of atmospheric aerosols and their role in forming clouds and rainfall over South Africa. The research provided answers to the cause of low precipitation, mainly linked to drought and water shortages experienced over the region. Further insight into the cause of occasional flooding that occurs in other parts of the area is provided. Finally, the study described the relationship between aerosol–cloud precipitation based on observation over the region.
África Barreto, Rosa D. García, Carmen Guirado-Fuentes, Emilio Cuevas, A. Fernando Almansa, Celia Milford, Carlos Toledano, Francisco J. Expósito, Juan P. Díaz, and Sergio F. León-Luis
Atmos. Chem. Phys., 22, 11105–11124, https://doi.org/10.5194/acp-22-11105-2022, https://doi.org/10.5194/acp-22-11105-2022, 2022
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A comprehensive characterization of atmospheric aerosols in the subtropical eastern North Atlantic has been carried out in this paper using long-term ground AERONET photometric observations over the period 2005–2020 from a unique network made up of four stations strategically located from sea level to 3555 m height on the island of Tenerife. This is a region that can be considered a key location to study the seasonal dependence of dust transport from the Sahel-Sahara.
Xiaoxi Zhao, Kan Huang, Joshua S. Fu, and Sabur F. Abdullaev
Atmos. Chem. Phys., 22, 10389–10407, https://doi.org/10.5194/acp-22-10389-2022, https://doi.org/10.5194/acp-22-10389-2022, 2022
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Long-range transport of Asian dust to the Arctic was considered an important source of Arctic air pollution. Different transport routes to the Arctic had divergent effects on the evolution of aerosol properties. Depositions of long-range-transported dust particles can reduce the Arctic surface albedo considerably. This study implied that the ubiquitous long-transport dust from China exerted considerable aerosol indirect effects on the Arctic and may have potential biogeochemical significance.
Katherine T. Junghenn Noyes, Ralph A. Kahn, James A. Limbacher, and Zhanqing Li
Atmos. Chem. Phys., 22, 10267–10290, https://doi.org/10.5194/acp-22-10267-2022, https://doi.org/10.5194/acp-22-10267-2022, 2022
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We compare retrievals of wildfire smoke particle size, shape, and light absorption from the MISR satellite instrument to modeling and other satellite data on land cover type, drought conditions, meteorology, and estimates of fire intensity (fire radiative power – FRP). We find statistically significant differences in the particle properties based on burning conditions and land cover type, and we interpret how changes in these properties point to specific aerosol aging mechanisms.
Cited articles
Adams, P. J.: Predicting global aerosol size distributions in general
circulation models, J. Geophys. Res., 107, 4370,
https://doi.org/10.1029/2001JD001010, 2002.
Appel, K. W., Pouliot, G. A., Simon, H., Sarwar, G., Pye, H. O. T.,
Napelenok, S. L., Akhtar, F., and Roselle, S. J.: Evaluation of dust and
trace metal estimates from the Community Multiscale Air Quality (CMAQ) model
version 5.0, Geosci. Model Dev., 6, 883–899,
https://doi.org/10.5194/gmd-6-883-2013, 2013.
Appel, K. W., Napelenok, S. L., Foley, K. M., Pye, H. O. T., Hogrefe, C.,
Luecken, D. J., Bash, J. O., Roselle, S. J., Pleim, J. E., Foroutan, H.,
Hutzell, W. T., Pouliot, G. A., Sarwar, G., Fahey, K. M., Gantt, B., Gilliam,
R. C., Heath, N. K., Kang, D., Mathur, R., Schwede, D. B., Spero, T. L.,
Wong, D. C., and Young, J. O.: Description and evaluation of the Community
Multiscale Air Quality (CMAQ) modeling system version 5.1, Geosci. Model
Dev., 10, 1703–1732, https://doi.org/10.5194/gmd-10-1703-2017, 2017.
Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. A., Field, B. D., Fiore, A.
M., Li, Q. B., Liu, H., Mickley, L. J., and Schultz, M. G.: Global modeling
of tropospheric chemistry with assimilated meteorology: Model description and
evaluation, J. Geophys. Res.-Atmos., 106, 23073–23095,
https://doi.org/10.1029/2001JD000807, 2001.
Brock, C. A., Wagner, N. L., Anderson, B. E., Attwood, A. R., Beyersdorf, A.,
Campuzano-Jost, P., Carlton, A. G., Day, D. A., Diskin, G. S., Gordon, T. D.,
Jimenez, J. L., Lack, D. A., Liao, J., Markovic, M. Z., Middlebrook, A. M.,
Ng, N. L., Perring, A. E., Richardson, M. S., Schwarz, J. P., Washenfelder,
R. A., Welti, A., Xu, L., Ziemba, L. D., and Murphy, D. M.: Aerosol optical
properties in the southeastern United States in summer – Part 1: Hygroscopic
growth, Atmos. Chem. Phys., 16, 4987–5007,
https://doi.org/10.5194/acp-16-4987-2016, 2016.
Burnett, R., Chen, H., Szyszkowicz, M., Fann, N., Hubbell, B., Pope, C. A.,
Apte, J. S., Brauer, M., Cohen, A., Weichenthal, S., Coggins, J., Di, Q.,
Brunekreef, B., Frostad, J., Lim, S. S., Kan, H., Walker, K. D., Thurston, G.
D., Hayes, R. B., Lim, C. C., Turner, M. C., Jerrett, M., Krewski, D.,
Gapstur, S. M., Diver, W. R., Ostro, B., Goldberg, D., Crouse, D. L., Martin,
R. V., Peters, P., Pinault, L., Tjepkema, M., van Donkelaar, A., Villeneuve,
P. J., Miller, A. B., Yin, P., Zhou, M., Wang, L., Janssen, N. A. H., Marra,
M., Atkinson, R. W., Tsang, H., Quoc Thach, T., Cannon, J. B., Allen, R. T.,
Hart, J. E., Laden, F., Cesaroni, G., Forastiere, F., Weinmayr, G., Jaensch,
A., Nagel, G., Concin, H., and Spadaro, J. V.: Global estimates of mortality
associated with long-term exposure to outdoor fine particulate matter, P.
Natl. Acad. Sci. USA, 115, 9592–9597, https://doi.org/10.1073/pnas.1803222115, 2018.
Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B. N., Duncan, B. N.,
Martin, R. V., Logan, J. A., Higurashi, A., and Nakajima, T.: Tropospheric
aerosol optical thickness from the GOCART model and comparisons with
satellite and Sun photometer measurements, J. Atmos. Sci., 59, 461–483,
https://doi.org/10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2, 2002.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep,
K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V.,
Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., Liu, Y., Martin,
R., Morawska, L., Pope III, C. A., Shin, H., Straif, K., Shaddick, G.,
Thomas, M., van Dingenen, R., van Donkelaar, A., Vos, T., Murray, C. J. L.,
and Forouzanfar, M. H.: Estimates and 25-year trends of the global burden of
disease attributable to ambient air pollution: an analysis of data from the
Global Burden of Diseases Study 2015, The Lancet, 389, 1907–1918,
https://doi.org/10.1016/S0140-6736(17)30505-6, 2017.
Crouse, D. L., Peters, P. A., van Donkelaar, A., Goldberg, M. S., Villeneuve,
P. J., Brion, O., Khan, S., Atari, D. O., Jerrett, M., Pope, C. A., Brauer,
M., Brook, J. R., Martin, R. V., Stieb, D., and Burnett, R. T.: Risk of
Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure
to Low Concentrations of Fine Particulate Matter: A Canadian National-Level
Cohort Study, Environ. Health Perspect., 120, 708–714,
https://doi.org/10.1289/ehp.1104049, 2012.
Crumeyrolle, S., Chen, G., Ziemba, L., Beyersdorf, A., Thornhill, L.,
Winstead, E., Moore, R. H., Shook, M. A., Hudgins, C., and Anderson, B. E.:
Factors that influence surface PM2.5 values inferred from satellite
observations: perspective gained for the US Baltimore–Washington
metropolitan area during DISCOVER-AQ, Atmos. Chem. Phys., 14, 2139–2153,
https://doi.org/10.5194/acp-14-2139-2014, 2014.
Curci, G., Hogrefe, C., Bianconi, R., Im, U., Balzarini, A., Baró, R.,
Brunner, D., Forkel, R., Giordano, L., Hirtl, M., Honzak, L.,
Jiménez-Guerrero, P., Knote, C., Langer, M., Makar, P. A., Pirovano, G.,
Pérez, J. L., José, R. S., Syrakov, D., Tuccella, P., Werhahn, J.,
Wolke, R., Žabkar, R., Zhang, J., and Galmarini, S.: Uncertainties of
simulated aerosol optical properties induced by assumptions on aerosol
physical and chemical properties: An AQMEII-2 perspective, Atmos. Environ.,
115, 541–552, https://doi.org/10.1016/j.atmosenv.2014.09.009, 2015.
de Hoogh, K., Gulliver, J., Donkelaar, A. V., Martin, R. V., Marshall, J. D.,
Bechle, M. J., Cesaroni, G., Pradas, M. C., Dedele, A., Eeftens, M.,
Forsberg, B., Galassi, C., Heinrich, J., Hoffmann, B., Jacquemin, B.,
Katsouyanni, K., Korek, M., Künzli, N., Lindley, S. J., Lepeule, J.,
Meleux, F., de Nazelle, A., Nieuwenhuijsen, M., Nystad, W., Raaschou-Nielsen,
O., Peters, A., Peuch, V.-H., Rouil, L., Udvardy, O., Slama, R., Stempfelet,
M., Stephanou, E. G., Tsai, M. Y., Yli-Tuomi, T., Weinmayr, G., Brunekreef,
B., Vienneau, D., and Hoek, G.: Development of West-European PM2.5 and
NO2 land use regression models incorporating satellite-derived and
chemical transport modelling data, Environ. Res., 151, 1–10,
https://doi.org/10.1016/j.envres.2016.07.005, 2016.
Di, Q., Kloog, I., Koutrakis, P., Lyapustin, A., Wang, Y., and Schwartz, J.:
Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the
Continental United States, Environ. Sci. Technol., 50, 4712–4721,
https://doi.org/10.1021/acs.est.5b06121, 2016.
Dockery, D. W., Pope, C. A., Xu, X., Spengler, J. D., Ware, J. H., Fay, M.
E., Ferris Jr., B. G., and Speizer, F. E.: An Association between Air
Pollution and Mortality in Six U.S. Cities, N. Engl. J. Med., 329,
1753–1759, https://doi.org/10.1056/NEJM199312093292401, 1993.
Dominici, F., Peng, R. D., Bell, M. L., Pham, L., McDermott, A., Zeger, S.
L., and Samet, J. M.: Fine Particulate Air Pollution and Hospital Admission
for Cardiovascular and Respiratory Diseases, JAMA, 295, 1127–1134,
https://doi.org/10.1001/jama.295.10.1127, 2006.
Drury, E., Jacob, D. J., Spurr, R. J. D., Wang, J., Shinozuka, Y., Anderson,
B. E., Clarke, A. D., Dibb, J., McNaughton, C., and Weber, R.: Synthesis of
satellite (MODIS), aircraft (ICARTT), and surface (IMPROVE, EPA-AQS, AERONET)
aerosol observations over eastern North America to improve MODIS aerosol
retrievals and constrain surface aerosol concentrations and sources, J.
Geophys. Res.-Atmos. (1984–2012), 115, D14204, https://doi.org/10.1029/2009JD012629,
2010.
Duplissy, J., DeCarlo, P. F., Dommen, J., Alfarra, M. R., Metzger, A.,
Barmpadimos, I., Prevot, A. S. H., Weingartner, E., Tritscher, T., Gysel, M.,
Aiken, A. C., Jimenez, J. L., Canagaratna, M. R., Worsnop, D. R., Collins, D.
R., Tomlinson, J., and Baltensperger, U.: Relating hygroscopicity and
composition of organic aerosol particulate matter, Atmos. Chem. Phys., 11,
1155–1165, https://doi.org/10.5194/acp-11-1155-2011, 2011.
Durre, I. and Yin, X.: Enhanced Radiosonde Data for Studies of Vertical
Structure, B. Am. Meteorol. Soc., 89, 1257–1262, 2008.
Ford, B. and Heald, C. L.: Aerosol loading in the Southeastern United States:
reconciling surface and satellite observations, Atmos. Chem. Phys., 13,
9269–9283, https://doi.org/10.5194/acp-13-9269-2013, 2013.
Ford, B. and Heald, C. L.: Exploring the uncertainty associated with
satellite-based estimates of premature mortality due to exposure to fine
particulate matter, Atmos. Chem. Phys., 16, 3499–3523,
https://doi.org/10.5194/acp-16-3499-2016, 2016.
Green, M., Kondragunta, S., Ciren, P., and Xu, C.: Comparison of GOES and
MODIS Aerosol Optical Depth (AOD) to Aerosol Robotic Network (AERONET) AOD
and IMPROVE PM2.5 Mass at Bondville, Illinois, J. Air Waste Manage.
Assoc., 59, 1082–1091, https://doi.org/10.3155/1047-3289.59.9.1082, 2012.
Griffin, D., Naumova, E., McEntee, J., Castronovo, D., Durant, J., Lyles, M.,
Faruque, F., and Lary, D.: Air quality and human health, in: Environmental
Tracking for Public Health Surveillance, 129–185, CRC Press, Leiden, the
Netherlands, 2012.
Gupta, P. and Christopher, S. A.: Particulate matter air quality assessment
using integrated surface, satellite, and meteorological products: Multiple
regression approach, J. Geophys. Res., 114, D14205, https://doi.org/10.1029/2008JD011496,
2009.
Hand, J. and Malm, W. C.: Review of the IMPROVE equation for estimating
ambient light extinction coefficients, Colorado State University, Fort
Colins, 2006.
Hess, M., Koepke, P., and Schult, I.: Optical Properties of Aerosols and
Clouds: The Software Package OPAC, B. Am. Meteorol. Soc., 79, 831–844,
https://doi.org/10.1175/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2, 1998.
Highwood, E. J.: Suggested Refractive Indices and Aerosol Size Parameters for
Use in Radiative Effect Calculations and Satellite Retrievals,
ADIENT/APPRAISE CP2 Technical Report, DRAFT V2, available at:
http://www.met.rdg.ac.uk/~adient/refractiveindices.html (last access: 8
December 2018), 2009.
Holben, B. N., Eck, T. F., Slutsker, I., Tanre, D., Buis, J. P., Setzer, A.,
Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F.,
Jankowiak, I., and Smirnov, A.: AERONET – A federated instrument network and
data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16,
https://doi.org/10.1016/S0034-4257(98)00031-5, 1998.
Houyoux, M. R., Vukovich, J. M., Coats Jr., C. J., Wheeler, N. J. M., and
Kasibhatla, P. S.: Emission inventory development and processing for the
Seasonal Model for Regional Air Quality (SMRAQ) project, J. Geophys. Res.,
105, 9079–9090, https://doi.org/10.1029/1999JD900975, 2000.
Hu, X., Waller, L. A., Lyapustin, A., Wang, Y., and Liu, Y.: 10-year spatial
and temporal trends of PM2.5 concentrations in the southeastern US
estimated using high-resolution satellite data, Atmos. Chem. Phys., 14,
6301–6314, https://doi.org/10.5194/acp-14-6301-2014, 2014.
Jerrett, M., Turner, M. C., Beckerman, B. S., Pope, C. A., van Donkelaar, A.,
Martin, R. V., Serre, M., Crouse, D., Gapstur, S. M., Krewski, D., Diver, W.
R., Coogan, P. F., Thurston, G. D., and Burnett, R. T.: Comparing the Health
Effects of Ambient Particulate Matter Estimated Using Ground-Based versus
Remote Sensing Exposure Estimates, Environ. Health. Perspect., 125, 1–8,
https://doi.org/10.1289/EHP575, 2017.
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang,
Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., Aiken, A.
C., Docherty, K. S., Ulbrich, I. M., Grieshop, A. P., Robinson, A. L.,
Duplissy, J., Smith, J. D., Wilson, K. R., Lanz, V. A., Hueglin, C., Sun, Y.
L., Tian, J., Laaksonen, A., Raatikainen, T., Rautiainen, J., Vaattovaara,
P., Ehn, M., Kulmala, M., Tomlinson, J. M., Collins, D. R., Cubison, M. J.,
E., Dunlea, J., Huffman, J. A., Onasch, T. B., Alfarra, M. R., Williams, P.
I., Bower, K., Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer,
S., Demerjian, K., Salcedo, D., Cottrell, L., Griffin, R., Takami, A.,
Miyoshi, T., Hatakeyama, S., Shimono, A., Sun, J. Y., Zhang, Y. M., Dzepina,
K., Kimmel, J. R., Sueper, D., Jayne, J. T., Herndon, S. C., Trimborn, A. M.,
Williams, L. R., Wood, E. C., Middlebrook, A. M., Kolb, C. E., Baltensperger,
U., and Worsnop, D. R.: Evolution of Organic Aerosols in the Atmosphere,
Science, 326, 1525–1529, https://doi.org/10.1126/science.1180353, 2009.
Jin, X.: Assessing uncertainties of a geophysical approach to estimate
surface fine particulate matter distributions from satellite observed aerosol
optical depth: Data and code, https://doi.org/10.7916/d8-x9h1-cg54, 2018.
Kanakidou, M., Seinfeld, J. H., Pandis, S. N., Barnes, I., Dentener, F. J.,
Facchini, M. C., van Dingenen, R., Ervens, B., Nenes, A., Nielsen, C. J.,
Swietlicki, E., Putaud, J. P., Balkanski, Y., Fuzzi, S., Horth, J., Moortgat,
G. K., Winterhalter, R., Myhre, C. E. L., Tsigaridis, K., Vignati, E.,
Stephanou, E. G., and Wilson, J.: Organic aerosol and global climate
modelling: a review, Atmos. Chem. Phys., 5, 1053–1123,
https://doi.org/10.5194/acp-5-1053-2005, 2005.
Kim, P. S., Jacob, D. J., Fisher, J. A., Travis, K., Yu, K., Zhu, L.,
Yantosca, R. M., Sulprizio, M. P., Jimenez, J. L., Campuzano-Jost, P., Froyd,
K. D., Liao, J., Hair, J. W., Fenn, M. A., Butler, C. F., Wagner, N. L.,
Gordon, T. D., Welti, A., Wennberg, P. O., Crounse, J. D., St. Clair, J. M.,
Teng, A. P., Millet, D. B., Schwarz, J. P., Markovic, M. Z., and Perring, A.
E.: Sources, seasonality, and trends of southeast US aerosol: an integrated
analysis of surface, aircraft, and satellite observations with the GEOS-Chem
chemical transport model, Atmos. Chem. Phys., 15, 10411–10433,
https://doi.org/10.5194/acp-15-10411-2015, 2015.
Kloog, I., Chudnovsky, A. A., Just, A. C., Nordio, F., Koutrakis, P., Coull,
B. A., Lyapustin, A., Wang, Y., and Schwartz, J.: A new hybrid
spatio-temporal model for estimating daily multi-year PM2.5
concentrations across northeastern USA using high resolution aerosol optical
depth data, Atmos. Environ., 95, 581–590,
https://doi.org/10.1016/j.atmosenv.2014.07.014, 2014.
Koehler, K. A., Kreidenweis, S. M., DeMott, P. J., Prenni, A. J., Carrico, C.
M., Ervens, B., and Feingold, G.: Water activity and activation diameters
from hygroscopicity data – Part II: Application to organic species, Atmos.
Chem. Phys., 6, 795–809, https://doi.org/10.5194/acp-6-795-2006, 2006.
Laden, F., Schwartz, J., Speizer, F. E., and Dockery, D. W.: Reduction in
Fine Particulate Air Pollution and Mortality, Am J Respir Crit Care Med, 173,
667–672, https://doi.org/10.1164/rccm.200503-443OC, 2006.
Latimer, R. N. C. and Martin, R. V.: Interpretation of Measured Aerosol Mass
Scattering Efficiency Over North America Using a Chemical Transport Model,
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-459, in review,
2018.
Lee, H. J., Chatfield, R. B., and Strawa, A. W.: Enhancing the Applicability
of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue
AOD and Land Use Regression in California, United States, Environ. Sci.
Technol., 50, 6546–6555, https://doi.org/10.1021/acs.est.6b01438, 2016.
Levy, R. C., Mattoo, S., Sawyer, V., Shi, Y., Colarco, P. R., Lyapustin, A.
I., Wang, Y., and Remer, L. A.: Exploring systematic offsets between aerosol
products from the two MODIS sensors, Atmos. Meas. Tech., 11, 4073–4092,
https://doi.org/10.5194/amt-11-4073-2018, 2018.
Lyapustin, A. and Wang, Y.: MCD19A2 MODIS/Terra+Aqua Land Aerosol Optical
Depth Daily L2G Global 1 km SIN Grid V006 [Data set], NASA EOSDIS Land
Processes DAAC, https://doi.org/10.5067/MODIS/MCD19A2.006, 2018.
Lyapustin, A., Martonchik, J., Wang, Y., Laszlo, I., and Korkin, S.:
Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative
transfer basis and look-up tables, J. Geophys. Res.-Atmos., 116, D03210,
https://doi.org/10.1029/2010JD014985, 2011.
Lyapustin, A. I., Wang, Y., Laszlo, I., Hilker, T., G Hall, F., Sellers, P.
J., Tucker, C. J., and Korkin, S. V.: Multi-angle implementation of
atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction, Remote
Sens. Environ., 127, 385–393, 2012.
Lyapustin, A., Wang, Y., Korkin, S., and Huang, D.: MODIS Collection 6 MAIAC
algorithm, Atmos. Meas. Tech., 11, 5741–5765,
https://doi.org/10.5194/amt-11-5741-2018, 2018.
Ming, Y., Ramaswamy, V., Ginoux, P. A., and Horowitz, L. H.: Direct radiative
forcing of anthropogenic organic aerosol, J. Geophys. Res., 110, 1097–1112,
https://doi.org/10.1029/2004JD005573, 2005.
Mishchenko, M. I., Dlugach, J. M., Yanovitskij, E. G., and Zakharova, N. T.:
Bidirectional reflectance of flat, optically thick particulate layers: an
efficient radiative transfer solution and applications to snow and soil
surfaces, J. Quant. Spectrosc. Ra., 63, 409–432,
https://doi.org/10.1016/S0022-4073(99)00028-X, 1999.
Moise, T., Flores, J. M., and Rudich, Y.: Optical Properties of Secondary
Organic Aerosols and Their Changes by Chemical Processes, Chem. Rev., 115,
4400–4439, https://doi.org/10.1021/cr5005259, 2015.
Park, S.-K., Marmur, A., Kim, S. B., Tian, D., Hu, Y., McMurry, P. H., and
Russell, A. G.: Evaluation of Fine Particle Number Concentrations in CMAQ,
Aerosol Sci. Technol., 40, 985–996, https://doi.org/10.1080/02786820600907353, 2006.
Peng, R. D., Bell, M. L., Geyh, A. S., McDermott, A., Zeger, S. L., Samet, J.
M., and Dominici, F.: Emergency Admissions for Cardiovascular and Respiratory
Diseases and the Chemical Composition of Fine Particle Air Pollution,
Environ. Health Perspect., 117, 957–963, 2009.
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of
hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem.
Phys., 7, 1961–1971, https://doi.org/10.5194/acp-7-1961-2007, 2007.
Pierce, T., Geron, C., Pouliot, G., Kinnee, E., and Vukovich, J.: Integration
of the Biogenic Emissions Inventory System (BEIS3) into the Community
Multiscale Air Quality (CMAQ) Modeling System, Proceedings of the AMS 4th
Urban Environment Symposium, 20–23 May, Norfolk, Virginia, 2002.
Raffuse, S. M., Pryden, D. A., Sullivan, D. C., Larkin, N. K., Strand, T.,
and Solomon, R.: SMARTFIRE algorithm description, Paper prepared for the U.S.
Environmental Protection Agency, Research Triangle Park, NC, by Sonoma
Technology, Inc., Petaluma, CA, and the U.S. Forest Service, AirFire Team,
Pacific Northwest Research Laboratory, Seattle, WA STI-905517-3719, October,
2009.
Sarangi, B., Aggarwal, S. G., Sinha, D., and Gupta, P. K.: Aerosol effective
density measurement using scanning mobility particle sizer and quartz crystal
microbalance with the estimation of involved uncertainty, Atmos. Meas. Tech.,
9, 859–875, https://doi.org/10.5194/amt-9-859-2016, 2016.
Shaddick, G., Thomas, M. L., Green, A., Brauer, M., van Donkelaar, A.,
Burnett, R., Chang, H. H., Cohen, A., Dingenen, R. V., Dora, C., Gumy, S.,
Liu, Y., Martin, R., Waller, L. A., West, J., Zidek, J. V., and
Prüss-Ustün, A.: Data integration model for air quality: a
hierarchical approach to the global estimation of exposures to ambient air
pollution, J. R. Stat. Soc. C, 67, 231–253, https://doi.org/10.1111/rssc.12227, 2017.
Shi, L., Zanobetti, A., Kloog, I., Coull, B. A., Koutrakis, P., Melly, S. J.,
and Schwartz, J. D.: Low-Concentration PM2.5 and Mortality: Estimating
Acute and Chronic Effects in a Population-Based Study, Environ. Health
Perspect., 124, 1–30, https://doi.org/10.1289/ehp.1409111, 2015.
Snider, G., Weagle, C. L., Martin, R. V., van Donkelaar, A., Conrad, K.,
Cunningham, D., Gordon, C., Zwicker, M., Akoshile, C., Artaxo, P., Anh, N.
X., Brook, J., Dong, J., Garland, R. M., Greenwald, R., Griffith, D., He, K.,
Holben, B. N., Kahn, R., Koren, I., Lagrosas, N., Lestari, P., Ma, Z.,
Vanderlei Martins, J., Quel, E. J., Rudich, Y., Salam, A., Tripathi, S. N.,
Yu, C., Zhang, Q., Zhang, Y., Brauer, M., Cohen, A., Gibson, M. D., and Liu,
Y.: SPARTAN: a global network to evaluate and enhance satellite-based
estimates of ground-level particulate matter for global health applications,
Atmos. Meas. Tech., 8, 505–521, https://doi.org/10.5194/amt-8-505-2015,
2015.
Snider, G., Weagle, C. L., Murdymootoo, K. K., Ring, A., Ritchie, Y., Stone,
E., Walsh, A., Akoshile, C., Anh, N. X., Balasubramanian, R., Brook, J.,
Qonitan, F. D., Dong, J., Griffith, D., He, K., Holben, B. N., Kahn, R.,
Lagrosas, N., Lestari, P., Ma, Z., Misra, A., Norford, L. K., Quel, E. J.,
Salam, A., Schichtel, B., Segev, L., Tripathi, S., Wang, C., Yu, C., Zhang,
Q., Zhang, Y., Brauer, M., Cohen, A., Gibson, M. D., Liu, Y., Martins, J. V.,
Rudich, Y., and Martin, R. V.: Variation in global chemical composition of
PM2.5: emerging results from SPARTAN, Atmos. Chem. Phys., 16,
9629–9653, https://doi.org/10.5194/acp-16-9629-2016, 2016.
Stanier, C. O., Khlystov, A. Y., and Pandis, S. N.: Ambient aerosol size
distributions and number concentrations measured during the Pittsburgh Air
Quality Study (PAQS), Atmos. Environ., 38, 3275–3284,
https://doi.org/10.1016/j.atmosenv.2004.03.020, 2004.
Superczynski, S. D., Kondragunta, S., and Lyapustin, A. I.: Evaluation of the
multi-angle implementation of atmospheric correction (MAIAC) aerosol
algorithm through intercomparison with VIIRS aerosol products and AERONET, J.
Geophys. Res.-Atmos., 122, 3005–3022, https://doi.org/10.1002/2016JD025720, 2017.
Toth, T. D., Zhang, J., Campbell, J. R., Hyer, E. J., Reid, J. S., Shi, Y.,
and Westphal, D. L.: Impact of data quality and surface-to-column
representativeness on the PM2.5/satellite AOD relationship for the
contiguous United States, Atmos. Chem. Phys., 14, 6049–6062,
https://doi.org/10.5194/acp-14-6049-2014, 2014.
US EPA, MOVES2014a: Latest version of MOtor Vehicle Emission Simulator
(MOVES):
https://www.epa.gov/moves/moves2014a-latest-version-motor-vehicle-emission-simulator-moves,
last access: April 2018.
van Donkelaar, A., Martin, R. V., and Park, R. J.: Estimating ground-level
PM2.5 using aerosol optical depth determined from satellite remote
sensing, J. Geophys. Res., 111, D21201, https://doi.org/10.1029/2005JD006996, 2006.
van Donkelaar, A., Martin, R. V., Brauer, M., Kahn, R., Levy, R., Verduzco,
C., and Villeneuve, P. J.: Global Estimates of Ambient Fine Particulate
Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development
and Application, Environ. Health Perspect., 118, 847–855,
https://doi.org/10.1289/ehp.0901623, 2010.
van Donkelaar, A., Martin, R. V., Pasch, A. N., Szykman, J. J., Zhang, L.,
Wang, Y. X., and Chen, D.: Improving the Accuracy of Daily Satellite-Derived
Ground-Level Fine Aerosol Concentration Estimates for North America, Environ.
Sci. Technol., 46, 11971–11978, https://doi.org/10.1021/es3025319, 2012.
van Donkelaar, A., Martin, R. V., Spurr, R. J. D., Drury, E., Remer, L. A.,
Levy, R. C., and Wang, J.: Optimal estimation for global ground-level fine
particulate matter concentrations, J. Geophys. Res.-Atmos., 118, 5621–5636,
https://doi.org/10.1002/jgrd.50479, 2013.
van Donkelaar, A., Martin, R. V., Spurr, R. J. D., and Burnett, R. T.:
High-Resolution Satellite-Derived PM2.5 from Optimal Estimation and
Geographically Weighted Regression over North America, Environ. Sci.
Technol., 49, 10482–10491, https://doi.org/10.1021/acs.est.5b02076, 2015.
van Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., Kahn, R. A., Levy,
R. C., Lyapustin, A., Sayer, A. M., and Winker, D. M.: Global Estimates of
Fine Particulate Matter using a Combined Geophysical-Statistical Method with
Information from Satellites, Models, and Monitors, Environ. Sci. Technol.,
50, 3762–3772, https://doi.org/10.1021/acs.est.5b05833, 2016.
Zhang, Y., Vijayaraghavan, K., Wen, X.-Y., Snell, H. E., and Jacobson, M. Z.:
Probing into regional ozone and particulate matter pollution in the United
States: 1, A 1 year CMAQ simulation and evaluation using surface and
satellite data, J. Geophys. Res., 114, D22304, https://doi.org/10.1029/2009JD011898,
2009.
Short summary
We use a forward geophysical approach to derive surface PM2.5 distribution from satellite AOD over the northeastern US by applying relationships between surface PM2.5 and column AOD from a regional air quality model (CMAQ). We use multi-platform surface, aircraft, and radiosonde measurements to quantify different sources of uncertainties. We highlight model representation of aerosol vertical distribution and speciation as major sources of uncertainties for satellite-derived PM2.5.
We use a forward geophysical approach to derive surface PM2.5 distribution from satellite AOD...
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