Articles | Volume 23, issue 7
https://doi.org/10.5194/acp-23-4059-2023
© Author(s) 2023. 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-23-4059-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Apr 2023
Research article |
| 05 Apr 2023
| 05 Apr 2023
A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data
Juli I. Rubin
CORRESPONDING AUTHOR
U.S. Naval Research Laboratory, Washington, D.C., 20375, USA
Jeffrey S. Reid
U.S. Naval Research Laboratory, Monterey, CA 93943, USA
Peng Xian
U.S. Naval Research Laboratory, Monterey, CA 93943, USA
Christopher M. Selman
U.S. Naval Research Laboratory, Washington, D.C., 20375, USA
Thomas F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Goddard Earth Sciences Technology and Research (GESTAR) II, University
of Maryland Baltimore County, Baltimore, MD 21250, USA
Related authors
No articles found.
Blake T. Sorenson, Jianglong Zhang, Jeffrey S. Reid, and Peng Xian
Atmos. Chem. Phys., 25, 11867–11894, https://doi.org/10.5194/acp-25-11867-2025, https://doi.org/10.5194/acp-25-11867-2025, 2025
Short summary
Short summary
Plumes of wildfire smoke in the Arctic affect the Arctic radiative budget. Using a neural network and observations from satellite-based sensors, we analyzed the direct radiative forcing of smoke particles on the Arctic climate and estimated long-term forcing trends. Strong negative trends in aerosol direct radiative forcing were found in northern Russia and Canada, with positive trends found over parts of the Arctic Ocean. Overall, smoke plumes may act to counter future Arctic warming.
Sujan Shrestha, Robert E. Holz, Willem J. Marais, Zachary Buckholtz, Ilya Razenkov, Edwin Eloranta, Jeffrey S. Reid, Hope E. Elliott, Nurun Nahar Lata, Zezhen Cheng, Swarup China, Edmund Blades, Albert D. Ortiz, Rebecca Chewitt-Lucas, Alyson Allen, Devon Blades, Ria Agrawal, Elizabeth A. Reid, Jesus Ruiz-Plancarte, Anthony Bucholtz, Ryan Yamaguchi, Qing Wang, Thomas Eck, Elena Lind, Mira L. Pöhlker, Andrew P. Ault, and Cassandra J. Gaston
EGUsphere, https://doi.org/10.5194/egusphere-2025-4584, https://doi.org/10.5194/egusphere-2025-4584, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
Coordinated observations from MAGPIE 2023 show that Saharan dust in the marine atmospheric boundary layer becomes internally mixed with sea spray. This mixing increases particle sphericity and hygroscopicity, likely leading to suppressed lidar linear depolarization ratios despite high dust concentrations. The findings have key implications for interpreting lidar-derived dust retrievals, estimating surface dust from satellite products, and improving dust representation in models.
Simone Pulimeno, Angelo Lupi, Vito Vitale, Claudia Frangipani, Carlos Toledano, Stelios Kazadzis, Natalia Kouremeti, Christoph Ritter, Sandra Graßl, Kerstin Stebel, Vitali Fioletov, Ihab Abboud, Sandra Blindheim, Lynn Ma, Norm O’Neill, Piotr Sobolewski, Pawan Gupta, Elena Lind, Thomas F. Eck, Antti Hyvärinen, Veijo Aaltonen, Rigel Kivi, Janae Csavina, Dmitry Kabanov, Sergey M. Sakerin, Olga R. Sidorova, Robert S. Stone, Hagen Telg, Laura Riihimaki, Raul R. Cordero, Martin Radenz, Ronny Engelmann, Michel Van Roozendal, Anatoli Chaikovsky, Philippe Goloub, Junji Hisamitsu, and Mauro Mazzola
EGUsphere, https://doi.org/10.5194/egusphere-2025-2527, https://doi.org/10.5194/egusphere-2025-2527, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
This study analyzed aerosols optical properties over the Arctic and Antarctic to measure them even during long periods of darkness. It found that pollution in the Arctic is decreasing, likely due to European emission regulations, while wildfires are becoming a more important source of particles. In Antarctica, particle levels are higher near the coast than inland, and vary by season. These results help us better understand how air pollution and climate are changing at the Earth’s poles.
Jeffrey S. Reid, Robert E. Holz, Chris A. Hostetler, Richard A. Ferrare, Juli I. Rubin, Elizabeth J. Thompson, Susan C. van den Heever, Corey G. Amiot, Sharon P. Burton, Joshua P. DiGangi, Glenn S. Diskin, Joshua H. Cossuth, Daniel P. Eleuterio, Edwin W. Eloranta, Ralph Kuehn, Willem J. Marais, Hal B. Maring, Armin Sorooshian, Kenneth L. Thornhill, Charles R. Trepte, Jian Wang, Peng Xian, and Luke D. Ziemba
EGUsphere, https://doi.org/10.5194/egusphere-2025-2605, https://doi.org/10.5194/egusphere-2025-2605, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
We document air and ship born measurements of the vertical distribution of pollution and biomass burning aerosol particles transported within the Maritime Continent’s monsoonal flows for 1000’s of kilometers, and yet still exhibit intricate patterns around clouds near the ocean’s surface. Findings demonstrate that, while aerosol transport occurs near the surface, there is heterogeneity in particle extinction that must be considered for both in situ observations and satellite retrievals.
Abdulamid A. Fakoya, Jens Redemann, Pablo E. Saide, Lan Gao, Logan T. Mitchell, Calvin Howes, Amie Dobracki, Ian Chang, Gonzalo A. Ferrada, Kristina Pistone, Samuel E. Leblanc, Michal Segal-Rozenhaimer, Arthur J. Sedlacek III, Thomas Eck, Brent Holben, Pawan Gupta, Elena Lind, Paquita Zuidema, Gregory Carmichael, and Connor J. Flynn
Atmos. Chem. Phys., 25, 7879–7902, https://doi.org/10.5194/acp-25-7879-2025, https://doi.org/10.5194/acp-25-7879-2025, 2025
Short summary
Short summary
Tiny atmospheric particles from wildfire smoke impact the climate by interacting with sunlight and clouds, the extent of which is uncertain due to gaps in understanding how smoke changes over time. We developed a new method using remote sensing instruments to track how these particles evolve during atmospheric transport. Our results show that the ability of these particles to absorb sunlight increases as they travel. This discovery could help improve predictions of future climate scenarios.
Zhenyu Zhang, Jing Li, Huizheng Che, Yueming Dong, Oleg Dubovik, Thomas Eck, Pawan Gupta, Brent Holben, Jhoon Kim, Elena Lind, Trailokya Saud, Sachchida Nand Tripathi, and Tong Ying
Atmos. Chem. Phys., 25, 4617–4637, https://doi.org/10.5194/acp-25-4617-2025, https://doi.org/10.5194/acp-25-4617-2025, 2025
Short summary
Short summary
We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
Jianglong Zhang, Jeffrey S. Reid, Blake T. Sorenson, Steven D. Miller, Miguel O. Román, Zhuosen Wang, Robert J. D. Spurr, Shawn Jaker, Thomas F. Eck, and Juli I. Rubin
Atmos. Meas. Tech., 18, 1787–1810, https://doi.org/10.5194/amt-18-1787-2025, https://doi.org/10.5194/amt-18-1787-2025, 2025
Short summary
Short summary
Using observations from the Visible Infrared Imaging Radiometer Suite day–night band, we developed a method for constructing gridded nighttime aerosol optical thickness (AOT) data based on the spatial derivative of measured top-of-atmosphere attenuated upwelling artificial lights at night. The gridded nighttime AOT retrievals, compared against Aerosol Robotic Network data, show reasonable skill levels for potential data assimilation, air quality, and climate studies of significant events.
Michalina Anna Broda, Olga Zawadzka-Mańko, Krzysztof Mirosław Markowicz, Peng Xian, and Edward Joseph Hyer
EGUsphere, https://doi.org/10.5194/egusphere-2025-1223, https://doi.org/10.5194/egusphere-2025-1223, 2025
Short summary
Short summary
A new method was developed to estimate the share of smoke from different regions at a selected location using satellite observations and model data. Applied in Warsaw, it shows fires from North America contribute over sixty-five percent, surpassing Europe's share, highlighting the importance of intercontinental transport, which may be generalized across Europe. This is an important step in understanding how smoke particles from distant fires impact climate and atmosphere locally.
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
Short summary
Short summary
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.
Kira Zeider, Grace Betito, Anthony Bucholtz, Peng Xian, Annette Walker, and Armin Sorooshian
Atmos. Chem. Phys., 24, 9059–9083, https://doi.org/10.5194/acp-24-9059-2024, https://doi.org/10.5194/acp-24-9059-2024, 2024
Short summary
Short summary
The predominant wind direction along the California coast (northerly) reverses several times during the summer (to southerly). The effects of these wind reversals on aerosol and cloud characteristics are not well understood. Using data from multiple datasets we found that southerly flow periods had enhanced signatures of anthropogenic emissions due to shipping and continental sources, and clouds had more but smaller droplets.
Peng Xian, Jeffrey S. Reid, Melanie Ades, Angela Benedetti, Peter R. Colarco, Arlindo da Silva, Tom F. Eck, Johannes Flemming, Edward J. Hyer, Zak Kipling, Samuel Rémy, Tsuyoshi Thomas Sekiyama, Taichu Tanaka, Keiya Yumimoto, and Jianglong Zhang
Atmos. Chem. Phys., 24, 6385–6411, https://doi.org/10.5194/acp-24-6385-2024, https://doi.org/10.5194/acp-24-6385-2024, 2024
Short summary
Short summary
The study compares and evaluates monthly AOD of four reanalyses (RA) and their consensus (i.e., ensemble mean). The basic verification characteristics of these RA versus both AERONET and MODIS retrievals are presented. The study discusses the strength of each RA and identifies regions where divergence and challenges are prominent. The RA consensus usually performs very well on a global scale in terms of how well it matches the observational data, making it a good choice for various applications.
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
Short summary
Short summary
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.
Qian Xiao, Jiaoshi Zhang, Yang Wang, Luke D. Ziemba, Ewan Crosbie, Edward L. Winstead, Claire E. Robinson, Joshua P. DiGangi, Glenn S. Diskin, Jeffrey S. Reid, K. Sebastian Schmidt, Armin Sorooshian, Miguel Ricardo A. Hilario, Sarah Woods, Paul Lawson, Snorre A. Stamnes, and Jian Wang
Atmos. Chem. Phys., 23, 9853–9871, https://doi.org/10.5194/acp-23-9853-2023, https://doi.org/10.5194/acp-23-9853-2023, 2023
Short summary
Short summary
Using recent airborne measurements, we show that the influences of anthropogenic emissions, transport, convective clouds, and meteorology lead to new particle formation (NPF) under a variety of conditions and at different altitudes in tropical marine environments. NPF is enhanced by fresh urban emissions in convective outflow but is suppressed in air masses influenced by aged urban emissions where reactive precursors are mostly consumed while particle surface area remains relatively high.
Alia L. Khan, Peng Xian, and Joshua P. Schwarz
The Cryosphere, 17, 2909–2918, https://doi.org/10.5194/tc-17-2909-2023, https://doi.org/10.5194/tc-17-2909-2023, 2023
Short summary
Short summary
Ice–albedo feedbacks in the ablation region of the Greenland Ice Sheet are difficult to constrain and model. Surface samples were collected across the 2014 summer melt season from different ice surface colors. On average, concentrations were higher in patches that were visibly dark, compared to medium patches and light patches, suggesting that black carbon aggregation contributed to snow aging, and vice versa. High concentrations are likely due to smoke transport from high-latitude wildfires.
Blake T. Sorenson, Jianglong Zhang, Jeffrey S. Reid, Peng Xian, and Shawn L. Jaker
Atmos. Chem. Phys., 23, 7161–7175, https://doi.org/10.5194/acp-23-7161-2023, https://doi.org/10.5194/acp-23-7161-2023, 2023
Short summary
Short summary
We quality-control Ozone Monitoring Instrument (OMI) aerosol index data by identifying row anomalies and removing systematic biases, using the data to quantify trends in UV-absorbing aerosols over the Arctic region. We found decreasing trends in UV-absorbing aerosols in spring months and increasing trends in summer months. For the first time, observational evidence of increasing trends in UV-absorbing aerosols over the North Pole is found using the OMI data, especially over the last half decade.
Jianglong Zhang, Jeffrey S. Reid, Steven D. Miller, Miguel Román, Zhuosen Wang, Robert J. D. Spurr, and Shawn Jaker
Atmos. Meas. Tech., 16, 2531–2546, https://doi.org/10.5194/amt-16-2531-2023, https://doi.org/10.5194/amt-16-2531-2023, 2023
Short summary
Short summary
We adapted the spherical harmonics discrete ordinate method 3-dimentional radiative transfer model (3-D RTM) and developed a nighttime 3-D RTM capability for simulating top-of-atmosphere radiances from artificial light sources for aerosol retrievals. Our study suggests that both aerosol optical depth and aerosol plume height can be effectively retrieved using nighttime observations over artificial light sources, through the newly developed radiative transfer modeling capability.
Amanda Gumber, Jeffrey S. Reid, Robert E. Holz, Thomas F. Eck, N. Christina Hsu, Robert C. Levy, Jianglong Zhang, and Paolo Veglio
Atmos. Meas. Tech., 16, 2547–2573, https://doi.org/10.5194/amt-16-2547-2023, https://doi.org/10.5194/amt-16-2547-2023, 2023
Short summary
Short summary
The purpose of this study is to create and evaluate a gridded dataset composed of multiple satellite instruments and algorithms to be used for data assimilation. An important part of aerosol data assimilation is having consistent measurements, especially for severe aerosol events. This study evaluates 4 years of data from MODIS, VIIRS, and AERONET with a focus on aerosol severe event detection from a regional and global perspective.
Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Thomas F. Eck, Jeffrey S. Reid, David M. Giles, Daniel Pérez-Ramírez, and Jai Prakash Chaubey
Atmos. Meas. Tech., 16, 1103–1120, https://doi.org/10.5194/amt-16-1103-2023, https://doi.org/10.5194/amt-16-1103-2023, 2023
Short summary
Short summary
Aerosols are atmospheric particles that vary in size (radius) from a fraction of a micrometer (µm) to around 20 µm. They tend to be either smaller than 1 µm (like smoke or pollution) or larger than 1 µm (like dust or sea salt). Their optical effect (scattering and absorbing sunlight) can be divided into FM (fine-mode) and CM (coarse-mode) parts using a cutoff radius around 1 µm or a spectral (color) technique. We present and validate a theoretical link between the types of FM and CM divisions.
Hyungwon John Park, Jeffrey S. Reid, Livia S. Freire, Christopher Jackson, and David H. Richter
Atmos. Meas. Tech., 15, 7171–7194, https://doi.org/10.5194/amt-15-7171-2022, https://doi.org/10.5194/amt-15-7171-2022, 2022
Short summary
Short summary
We use numerical models to study field measurements of sea spray aerosol particles and conclude that both the atmospheric state and the methods of instrument sampling are causes for the variation in the production rate of aerosol particles: a critical metric to learn the aerosol's effect on processes like cloud physics and radiation. This work helps field observers improve their experimental design and interpretation of measurements because of turbulence in the atmosphere.
Eva-Lou Edwards, Jeffrey S. Reid, Peng Xian, Sharon P. Burton, Anthony L. Cook, Ewan C. Crosbie, Marta A. Fenn, Richard A. Ferrare, Sean W. Freeman, John W. Hair, David B. Harper, Chris A. Hostetler, Claire E. Robinson, Amy Jo Scarino, Michael A. Shook, G. Alexander Sokolowsky, Susan C. van den Heever, Edward L. Winstead, Sarah Woods, Luke D. Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 22, 12961–12983, https://doi.org/10.5194/acp-22-12961-2022, https://doi.org/10.5194/acp-22-12961-2022, 2022
Short summary
Short summary
This study compares NAAPS-RA model simulations of aerosol optical thickness (AOT) and extinction to those retrieved with a high spectral resolution lidar near the Philippines. Agreement for AOT was good, and extinction agreement was strongest below 1500 m. Substituting dropsonde relative humidities into NAAPS-RA did not drastically improve agreement, and we discuss potential reasons why. Accurately modeling future conditions in this region is crucial due to its susceptibility to climate change.
Peng Xian, Jianglong Zhang, Norm T. O'Neill, Travis D. Toth, Blake Sorenson, Peter R. Colarco, Zak Kipling, Edward J. Hyer, James R. Campbell, Jeffrey S. Reid, and Keyvan Ranjbar
Atmos. Chem. Phys., 22, 9915–9947, https://doi.org/10.5194/acp-22-9915-2022, https://doi.org/10.5194/acp-22-9915-2022, 2022
Short summary
Short summary
The study provides baseline Arctic spring and summertime aerosol optical depth climatology, trend, and extreme event statistics from 2003 to 2019 using a combination of aerosol reanalyses, remote sensing, and ground observations. Biomass burning smoke has an overwhelming contribution to black carbon (an efficient climate forcer) compared to anthropogenic sources. Burning's large interannual variability and increasing summer trend have important implications for the Arctic climate.
Peng Xian, Jianglong Zhang, Norm T. O'Neill, Jeffrey S. Reid, Travis D. Toth, Blake Sorenson, Edward J. Hyer, James R. Campbell, and Keyvan Ranjbar
Atmos. Chem. Phys., 22, 9949–9967, https://doi.org/10.5194/acp-22-9949-2022, https://doi.org/10.5194/acp-22-9949-2022, 2022
Short summary
Short summary
The study provides a baseline Arctic spring and summertime aerosol optical depth climatology, trend, and extreme event statistics from 2003 to 2019 using a combination of aerosol reanalyses, remote sensing, and ground observations. Biomass burning smoke has an overwhelming contribution to black carbon (an efficient climate forcer) compared to anthropogenic sources. Burning's large interannual variability and increasing summer trend have important implications for the Arctic climate.
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, and Mikhail Sorokin
Atmos. Meas. Tech., 15, 4135–4151, https://doi.org/10.5194/amt-15-4135-2022, https://doi.org/10.5194/amt-15-4135-2022, 2022
Short summary
Short summary
This paper describes modification of smoothness constraints on the imaginary part of the refractive index employed in the AERONET aerosol retrieval algorithm. This modification is termed relaxed due to the weaker strength of this new smoothness constraint. Applying the modified version of the smoothness constraint results in a significant reduction of retrieved light absorption by brown-carbon-containing aerosols.
Joseph S. Schlosser, Connor Stahl, Armin Sorooshian, Yen Thi-Hoang Le, Ki-Joon Jeon, Peng Xian, Carolyn E. Jordan, Katherine R. Travis, James H. Crawford, Sung Yong Gong, Hye-Jung Shin, In-Ho Song, and Jong-sang Youn
Atmos. Chem. Phys., 22, 7505–7522, https://doi.org/10.5194/acp-22-7505-2022, https://doi.org/10.5194/acp-22-7505-2022, 2022
Short summary
Short summary
During a major haze pollution episode in March 2019, anthropogenic emissions were dominant in the boundary layer over Incheon and Seoul, South Korea. Using supermicrometer and submicrometer size- and chemistry-resolved aerosol particle measurements taken during this haze pollution period, this work shows that local emissions and a shallow boundary layer, enhanced humidity, and low temperature promoted local heterogeneous formation of secondary inorganic and organic aerosol species.
Matthew S. Norgren, John Wood, K. Sebastian Schmidt, Bastiaan van Diedenhoven, Snorre A. Stamnes, Luke D. Ziemba, Ewan C. Crosbie, Michael A. Shook, A. Scott Kittelman, Samuel E. LeBlanc, Stephen Broccardo, Steffen Freitag, and Jeffrey S. Reid
Atmos. Meas. Tech., 15, 1373–1394, https://doi.org/10.5194/amt-15-1373-2022, https://doi.org/10.5194/amt-15-1373-2022, 2022
Short summary
Short summary
A new spectral instrument (SPN-S), with the ability to partition solar radiation into direct and diffuse components, is used in airborne settings to study the optical properties of aerosols and cirrus. It is a low-cost and mechanically simple system but has higher measurement uncertainty than existing standards. This challenge is overcome by utilizing the unique measurement capabilities to develop new retrieval techniques. Validation is done with data from two NASA airborne research campaigns.
Sujung Go, Alexei Lyapustin, Gregory L. Schuster, Myungje Choi, Paul Ginoux, Mian Chin, Olga Kalashnikova, Oleg Dubovik, Jhoon Kim, Arlindo da Silva, Brent Holben, and Jeffrey S. Reid
Atmos. Chem. Phys., 22, 1395–1423, https://doi.org/10.5194/acp-22-1395-2022, https://doi.org/10.5194/acp-22-1395-2022, 2022
Short summary
Short summary
This paper presents a retrieval algorithm of iron-oxide species (hematite, goethite) content in the atmosphere from DSCOVR EPIC observations. Our results display variations within the published range of hematite and goethite over the main dust-source regions but show significant seasonal and spatial variability. This implies a single-viewing satellite instrument with UV–visible channels may provide essential information on shortwave dust direct radiative effects for climate modeling.
Connor Stahl, Ewan Crosbie, Paola Angela Bañaga, Grace Betito, Rachel A. Braun, Zenn Marie Cainglet, Maria Obiminda Cambaliza, Melliza Templonuevo Cruz, Julie Mae Dado, Miguel Ricardo A. Hilario, Gabrielle Frances Leung, Alexander B. MacDonald, Angela Monina Magnaye, Jeffrey Reid, Claire Robinson, Michael A. Shook, James Bernard Simpas, Shane Marie Visaga, Edward Winstead, Luke Ziemba, and Armin Sorooshian
Atmos. Chem. Phys., 21, 14109–14129, https://doi.org/10.5194/acp-21-14109-2021, https://doi.org/10.5194/acp-21-14109-2021, 2021
Short summary
Short summary
A total of 159 cloud water samples were collected and measured for total organic carbon (TOC) during CAMP2Ex. On average, 30 % of TOC was speciated based on carboxylic/sulfonic acids and dimethylamine. Results provide a critical constraint on cloud composition and vertical profiles of TOC and organic species ranging from ~250 m to ~ 7 km and representing a variety of cloud types and air mass source influences such as biomass burning, marine emissions, anthropogenic activity, and dust.
Genevieve Rose Lorenzo, Paola Angela Bañaga, Maria Obiminda Cambaliza, Melliza Templonuevo Cruz, Mojtaba AzadiAghdam, Avelino Arellano, Grace Betito, Rachel Braun, Andrea F. Corral, Hossein Dadashazar, Eva-Lou Edwards, Edwin Eloranta, Robert Holz, Gabrielle Leung, Lin Ma, Alexander B. MacDonald, Jeffrey S. Reid, James Bernard Simpas, Connor Stahl, Shane Marie Visaga, and Armin Sorooshian
Atmos. Chem. Phys., 21, 6155–6173, https://doi.org/10.5194/acp-21-6155-2021, https://doi.org/10.5194/acp-21-6155-2021, 2021
Short summary
Short summary
Firework emissions change the physicochemical and optical properties of water-soluble particles, which subsequently alters the background aerosol’s respirability, influence on surroundings, ability to uptake gases, and viability as cloud condensation nuclei (CCN). There was heavy aerosol loading due to fireworks in the boundary layer. The aerosol constituents were largely water-soluble and submicrometer in size due to both inorganic salts in firework materials and gas-to-particle conversion.
Miguel Ricardo A. Hilario, Ewan Crosbie, Michael Shook, Jeffrey S. Reid, Maria Obiminda L. Cambaliza, James Bernard B. Simpas, Luke Ziemba, Joshua P. DiGangi, Glenn S. Diskin, Phu Nguyen, F. Joseph Turk, Edward Winstead, Claire E. Robinson, Jian Wang, Jiaoshi Zhang, Yang Wang, Subin Yoon, James Flynn, Sergio L. Alvarez, Ali Behrangi, and Armin Sorooshian
Atmos. Chem. Phys., 21, 3777–3802, https://doi.org/10.5194/acp-21-3777-2021, https://doi.org/10.5194/acp-21-3777-2021, 2021
Short summary
Short summary
This study characterizes long-range transport from major Asian pollution sources into the tropical northwest Pacific and the impact of scavenging on these air masses. We combined aircraft observations, HYSPLIT trajectories, reanalysis, and satellite retrievals to reveal distinct composition and size distribution profiles associated with specific emission sources and wet scavenging. The results of this work have implications for international policymaking related to climate and health.
Jianglong Zhang, Robert J. D. Spurr, Jeffrey S. Reid, Peng Xian, Peter R. Colarco, James R. Campbell, Edward J. Hyer, and Nancy L. Baker
Geosci. Model Dev., 14, 27–42, https://doi.org/10.5194/gmd-14-27-2021, https://doi.org/10.5194/gmd-14-27-2021, 2021
Short summary
Short summary
A first-of-its-kind scheme has been developed for assimilating Ozone Monitoring Instrument (OMI) aerosol index (AI) measurements into the Naval Aerosol Analysis and Predictive System. Improvements in model simulations demonstrate the utility of OMI AI data assimilation for improving the accuracy of aerosol model analysis over cloudy regions and bright surfaces. This study can be considered one of the first attempts at direct radiance assimilation in the UV spectrum for aerosol analyses.
Peng Xian, Philip J. Klotzbach, Jason P. Dunion, Matthew A. Janiga, Jeffrey S. Reid, Peter R. Colarco, and Zak Kipling
Atmos. Chem. Phys., 20, 15357–15378, https://doi.org/10.5194/acp-20-15357-2020, https://doi.org/10.5194/acp-20-15357-2020, 2020
Short summary
Short summary
Using dust AOD (DAOD) data from three aerosol reanalyses, we explored the correlative relationships between DAOD and multiple indices representing seasonal Atlantic TC activities. A robust negative correlation with Caribbean DAOD and Atlantic TC activity was found. We documented for the first time the regional differences of this relationship for over the Caribbean and the tropical North Atlantic. We also evaluated the impacts of potential confounding climate factors in this relationship.
Willem J. Marais, Robert E. Holz, Jeffrey S. Reid, and Rebecca M. Willett
Atmos. Meas. Tech., 13, 5459–5480, https://doi.org/10.5194/amt-13-5459-2020, https://doi.org/10.5194/amt-13-5459-2020, 2020
Short summary
Short summary
Space agencies use moderate-resolution satellite imagery to study how smoke, dust, pollution (aerosols) and cloud types impact the Earth's climate; these space agencies include NASA, ESA and the China Meteorological Administration. We demonstrate in this paper that an algorithm with convolutional neural networks can greatly enhance the automated detection of aerosols and cloud types from satellite imagery. Our algorithm is an improvement on current aerosol and cloud detection algorithms.
Cited articles
AERONET: Aerosol Robotic network, [data set], https://aeronet.gsfc.nasa.gov/ last access: 4 April 2021.
Adebiyi, A. A., Zuidema, P., and Abel, S. J.: The Convolution of Dynamics
and Moisture with the Presence of Shortwave Absorbing Aerosols over the
Southeast Atlantic, J. Climate, 28, 1997–2024,
https://doi.org/10.1175/JCLI-D-14-00352.1, 2015.
Arola, A., Eck, T. F., Kokkola, H., Pitkänen, M. R. A., and Romakkaniemi, S.: Assessment of cloud-related fine-mode AOD enhancements based on AERONET SDA product, Atmos. Chem. Phys., 17, 5991–6001, https://doi.org/10.5194/acp-17-5991-2017, 2017.
Barreto, Á., Cuevas, E., García, R. D., Carrillo, J., Prospero, J. M., Ilić, L., Basart, S., Berjón, A. J., Marrero, C. L., Hernández, Y., Bustos, J. J., Ničković, S., and Yela, M.: Long-term characterisation of the vertical structure of the Saharan Air Layer over the Canary Islands using lidar and radiosonde profiles: implications for radiative and cloud processes over the subtropical Atlantic Ocean, Atmos. Chem. Phys., 22, 739–763, https://doi.org/10.5194/acp-22-739-2022, 2022.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J.,
Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S.,
Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis
and recast in the European centre for Medium-Range Weather Forecasts
Integrated Forecast
System: 2. Data assimilation, J. Geophys. Res., 114, D13205,
https://doi.org/10.1029/2008JD011115, 2009.
Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley Jr., J. A.,
Hansen, J. E., and Hoffman, D. J.: Climate forcing by anthropogenic aerosols,
Science, 255, 423–430, https://doi.org/10.1126/science.255.5043.423, 1992.
Daley, R. and Barker, E.: NAVDAS: Formulation and diagnostics, Mon. Weather
Rev., 129, 869–883, https://doi.org/10.1175/1520-0493(2001)129, 2001.
Deaconu, L. T., Ferlay, N., Waquet, F., Peers, F., Thieuleux, F., and Goloub, P.: Satellite inference of water vapour and above-cloud aerosol combined effect on radiative budget and cloud-top processes in the southeastern Atlantic Ocean, Atmos. Chem. Phys., 19, 11613–11634, https://doi.org/10.5194/acp-19-11613-2019, 2019.
DeSouza-Machado, S. G., Strow, L. L., Hannon, S. E., and Motteler, H. E.:
Infrared dust spectral signatures from AIRS, Geophys. Res. Lett., 33,
L03801, https://doi.org/10.1029/2005GL024364, 2006.
De Tomasi, F. and Perrone, M. R.: Lidar measurements of tropospheric water
vapor and aerosol profiles over southeastern Italy, J. Geophys. Res., 108,
4286, https://doi.org/10.1029/2002JD002781, 2003.
Eck, T. F. and Holben, B. N.: AVHRR split window temperature differences
and total precipitable water over land surfaces, Int. J. Remote Sens., 15, 567–582, https://doi.org/10.1080/01431169408954097, 1994.
Eck, T. F., Holben B. N., Reid, J. S., Dubovik, O., Smirnov, A., O'Neill, N.
T., Slutsker, I., and Kinne, S.: Wavelength dependence of the optical depth
of biomass burning, urban, and desert
dust aerosols, J. Geophys. Res., 104, 31333–31349, https://doi.org/10.1029/1999JD900923, 1999.
Eck, T. F., Holben, B. N., Reid, J. S., Giles, D. M., Rivas, M. A., Singh, R. P.,
Tripathi, S. N., Bruegge, C. J., Platnick, S., Arnold, G. T., Krotkov, N. A.,
Carn, S. A., Sinyuk, A., Dubovik, O., Arola, A., Schafer, J. S., Artaxo, P.,
Smirnov, A., Chen, H., and Goloub, P.: Fog- and cloud-induced aerosol
modification observed by the Aerosol Robotic Network (AERONET), J. Geophys.
Res., 117, D07206, https://doi.org/10.1029/2011JD016839, 2012.
Eck, T. F., Holben, B. N., Reid, J. S., Arola, A., Ferrare, R. A., Hostetler, C. A., Crumeyrolle, S. N., Berkoff, T. A., Welton, E. J., Lolli, S., Lyapustin, A., Wang, Y., Schafer, J. S., Giles, D. M., Anderson, B. E., Thornhill, K. L., Minnis, P., Pickering, K. E., Loughner, C. P., Smirnov, A., and Sinyuk, A.: Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds, Atmos. Chem. Phys., 14, 11633–11656, https://doi.org/10.5194/acp-14-11633-2014, 2014.
Eck, T. F., Holben, B. N., Reid, J. S., Xian, P.,Giles, D. M., Sinyuk, A.,
Smirnov, A., Schafer, J. S., Slutsker, I., Kim, J., Koo, J.-H., Choi, M.,
Kim, K. C., Sano, I., Arola, A., Sayer, A. M., Levy, R. C., Munchak, L. A.,
O'Neill, N. T., Lyapustin, A., Hsu, N. C., Randles, C. A., Da Silva, A. M.,
Buchard, V., Govindaraju, R. C., Hyer, E., Crawford, J. H., Wang, P., and Xia, X.:
Observations of the interaction and transport offine mode aerosols with
cloud and/or fog in Northeast Asia from Aerosol Robotic Network and
satellite remote sensing, J. Geophys. Res.-Atmos., 123,
5560–5587, https://doi.org/10.1029/2018JD028313, 2018.
Eck, T. F., Holben, B. N., Giles, D. M., Slutsker, I., Sinyuk, A., Schafer,
J. S., Smirnov, A., Sorokin, M., Reid, J. S., Sayer, A. M., Hsu, N. C., Shi,
Y. R., Levy, R. C., Lyapustin, A., Rahman, M. A., Liew, S.-C., Cortijo, S. V. S.,
Li, R., Kalbermatter, D., Keong, K. L., Yuggotomo, M. E., Aditya, F., Mohamad,
M., Mahmud, M., Chong, T. K., Lim, H.-S., Choon, Y. E., Deranadyan, G.,
Kusumaningtyas, S. D. A., and Aldrian, E.: AERONET Remotely Sensed Measurements
and Retrievals of Biomass Burning Aerosol Optical Properties During the 2015
Indonesian Burning Season, J. Geophys. Res., 124,
4722–4740, https://doi.org/10.1029/2018JD030182, 2019.
Francis, D., Fonseca, R., Nelli, N., Cuesta, J., Weston, M., Evan, A., and
Temimi, M.: The atmospheric drivers of the major Saharan dust storm in June
2020, Geophys. Res. Lett., 47, e2020GL090102,
https://doi.org/10.1029/2020GL090102, 2020.
Frouin, R. J., Franz, B. A., Ibrahim, A., Knobelspiesse, K., Ahmad, Z.,
Cairns, B., Chowdhary, J., Dierssen, H. M., Tan, J., Dubovik, O., Huang, X.,
Davis, A. B., Kalashnikova, O., Thompson, D. R., Remer, L. A., Boss, E.,
Coddington, O., Deschamps, P.-Y., Gao, B.-C., Gross, L., Hasekamp, O., Omar,
A., Pelletier, B., Ramon, D., Steinmetz, F., and Zhai, P.-W.: Atmospheric
correction of satellite ocean-color imagery during the PACE Era, Front.
Earth Sci., 7, 145, https://doi.org/10.3389/feart.2019.00145, 2019.
Gao, M., Carmichael, G. R., Saide, P. E., Lu, Z., Yu, M., Streets, D. G., and Wang, Z.: Response of winter fine particulate matter concentrations to emission and meteorology changes in North China, Atmos. Chem. Phys., 16, 11837–-11851, https://doi.org/10.5194/acp-16-11837-2016, 2016.
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., Smirnov, A., Slutsker, I., Eck, T. F., Holben, B. N., Lewis, J. R., Campbell, J. R., Welton, E. J., Korkin, S. V., and Lyapustin, A. I.: Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements, Atmos. Meas. Tech., 12, 169–-209, https://doi.org/10.5194/amt-12-169-2019, 2019.
Granados-Muñoz, M. J., Sicard, M., Román, R., Benavent-Oltra, J. A., Barragán, R., Brogniez, G., Denjean, C., Mallet, M., Formenti, P., Torres, B., and Alados-Arboledas, L.: Impact of mineral dust on shortwave and longwave radiation: evaluation of different vertically resolved parameterizations in 1-D radiative transfer computations, Atmos. Chem. Phys., 19, 523–-542, https://doi.org/10.5194/acp-19-523-2019, 2019.
Gutleben, M., Groß, S., Wirth, M., Emde, C., and Mayer, B.: Impacts of
water vapor on Saharan air layer radiative heating, Geophys. Res. Lett., 46, 14854–14862, https://doi.org/10.1029/2019GL085344, 2019.
Haywood, J. M., Bellouin, N., Jones, A., Boucher, O., Wild, M., and Shine,
K. P.: The roles of aerosol, water vapor and cloud in future global
dimming/brightening, J. Geophys. Res., 116, D20203,
https://doi.org/10.1029/2011JD016000, 2011.
Hänel, G.: The properties of atmospheric aerosol particles as functions
of the relative humidity at thermo-dynamic equilibrium with the surrounding
moist air, Adv. Geophys. 19, 73–18,
https://doi.org/10.1016/S0065-2687(08)60142-9, 1976.
He Q., Ma, J., Zheng, X., Wang, Y., Wang Y., Mu, H., Cheng, T., He, R.,
Huang, G., and Liu, D.: Formation and dissipation dynamics of the Asian
tropopause aerosol layer, Environ. Res. Lett, 16, 014015,
https://doi.org/10.1088/1748-9326/abcd5d, 2021.
Heo, J.-H., Ryu, G.-H., and Jang, J.-D.: Optimal Interpolation of Precipitable
Water Using Low Earth Orbit and Numerical Weather Prediction Data, Remote
Sens., 436, https://doi.org/10.3390/rs10030436, 2018.
Hogan, T. F., Liu, M., Ridout, J. S., Peng, M. S., Whitcomb, T. R., Ruston,
B. C., Reynolds, C. A., Eckermann, S. D., Moskaitis, J. R., Baker, N. L.,
McCormack, J. P., Viner, K. C., McLay, J. G., Flatau, M. K., Xu, L., Chen,
C., and Chang, S. W.: The Navy Global Environmental Model, Oceanography,
Special Issue on Navy Operational Models, 27, 116–125, https://doi.org/10.5670/oceanog.2014.73, 2014.
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, 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.
Huttunen, J., Arola, A., Myhre, G., Lindfors, A. V., Mielonen, T., Mikkonen, S., Schafer, J. S., Tripathi, S. N., Wild, M., Komppula, M., and Lehtinen, K. E. J.: Effect of water vapor on the determination of aerosol direct radiative effect based on the AERONET fluxes, Atmos. Chem. Phys., 14, 6103–6110, https://doi.org/10.5194/acp-14-6103-2014, 2014.
Ibrahim, A., Franz, B. A., Ahmad, Z., and Bailey, S. W.: Multiband atmospheric
correction algorithm for ocean color retrievals, Front. Earth Sci., 7, 116,
https://doi.org/10.3389/feart.2019.00116, 2019.
Ichoku, C., Allen Chu, D., Mattoo, S., Kaufman, Y. J., Remer, L. A., Tanre,
D., Slutsker, I., and Holben, B. N.: A spatio-temporal approach for global
validation and analysis of MODIS aerosol products, Geophys. Res. Lett., 29, https://doi.org/10.1029/2001GL013206, 2002.
Jeong, J. I. and Park, R. J.: Winter monsoon variability and its impact on
aerosol concentrations in East Asia, Environ. Pollut.,
221, 285–292, https://doi.org/10.1016/j.envpol.2016.11.075, 2017.
Jung, E., Albrecht, B., Prospero, J. M., Jonsson, H. H., and Kreidenweis,
S. M.: Vertical structure of aerosols, temperature, and moisture associated
with an intense African dust event observed over the eastern
Caribbean, J. Geophys. Res.-Atmos., 118, 4623–4643, https://doi.org/10.1002/jgrd.50352, 2013.
Kahn, R. A., Gaitley, B. J., Martonchik, J. V., Diner, D. J., Crean, K. A., and
Holben, B.: Multiangle Imaging Spectroradiometer (MISR) global aerosol
optical depth validation based on 2 years of coincident Aerosol Robotic
Network (AERONET) observations, J. Geophys. Res., 110, D10S04, https://doi.org/10.1029/2004JD004706, 2005.
Kanitz, T., Ansmann, A., Seifert, P., Engelmann, R., Kalisch, J.,
and Althausen, D.: Radiative effect of aerosols above the northern and
southern Atlantic Ocean as determined from shipborne lidar
observations, J. Geophys. Res.-Atmos., 118, 12556–12565, https://doi.org/10.1002/2013jd019750,
2013.
Kanitz, T., Engelmann, R., Heinold, B., Baars, H., Skupin, A., and Ansmann,
A.: Tracking the Saharan air layer with shipborne lidar across the tropical
atlantic, Geophys. Res. Lett., 41, 1044–1050, https://doi.org/10.1002/2013gl058780, 2014.
Kannemadugu, H. B. S., Varghese, A. O., Mukkara, S. R., Joshi, A. K., and Moharil,
S. V.: Discrimination of Aerosol Types and Validation of MODIS Aerosol and
Water Vapour Products Using a Sun Photometer over Central India, Aerosol Air
Qual. Res., 15, 682–693, https://doi.org/10.4209/aaqr.2014.04.0088, 2015.
Karyampudi, V. M., Palm, S. P., Reagen, J. A., Fang, H., Grant, W. B, Hoff,
R. M., Moulin, C., Pierce, H. F., Torres, O., Browell, E. V., and Melfi, S. H.:
Validation of the Saharan dust plume conceptual model using Lidar, Meteosat,
and ECMWF data, B. Am. Meteorol. Soc., 80, 1045–1074,
https://doi.org/10.1175/1520-0477(1999), 1999.
Kaufman, Y. J. and Fraser, R. S.: The effect of smoke particles on clouds
and climate forcing, Science, 277, 1636–1639, https://doi.org/10.1126/science.277.5332.1636, 1997.
Kim, S.-W., Chazette, P., Dulac, F., Sanak, J., Johnson, B., and Yoon, S.-C.: Vertical structure of aerosols and water vapor over West Africa during the African monsoon dry season, Atmos. Chem. Phys., 9, 8017–8038, https://doi.org/10.5194/acp-9-8017-2009, 2009.
Kleinman, L. I. and Daum, P. H.: Vertical distribution of aerosol particles,
water vapor, and insoluble trace gases in convectively mixed air, J.
Geophys. Res.-Atmos., 96, 991–1005, https://doi.org/10.1029/90JD02117,
1991.
Kuciauskas, A. P., Xian, P., Hyer, E. J., Oyola, M. I., and Campbell, J.
R.: Supporting Weather Forecasters in Predicting and Monitoring Saharan Air
Layer Dust Events as They Impact the Greater Caribbean, B. Am. Meteorol. Soc., 99, 259–268,
https://doi.org/10.1175/BAMS-D-16-0212.1, 2018.
Kumar, K. R., Sivakumar, V., Reddy, R. R., Gopal, K. R., and Adesina, A. J.:
Inferring wavelength dependence of AOD and Ångström exponent over a
sub-tropical station in South Africa using AERONET data: Influence of
meteorology, long-range transport and curvature effect, Sci. Total Environ., 461, 397–408, https://doi.org/10.1016/j.scitotenv.2013.04.095,
2013.
Kumar, K. R., Kang, N., Sivakumar, V., and Griffith, D.: Temporal
characteristics of columnar aerosol optical properties and radiative forcing
(2011–2015) measured at AERONET's Pretoria_CSIR_DPSS site in South Africa, Atmos. Environ., 165,
274–289, https://doi.org/10.1016/j.atmosenv.2017.06.048, 2017.
Lee, E., Županski, M., Županski, D., and Park, S. K.: Impact of the
OMI aerosol optical depth on analysis increments through coupled
meteorology–aerosol data assimilation for an Asian dust storm, Remote Sens.
Environ., 193, 38–53, https://doi.org/10.1016/j.rse.2017.02.013, 2017.
Li, Q., Zhang, R., and Wang, Y.: Interannual variation of the wintertime
fog-haze days across central and eastern China and its relation with East
Asian winter monsoon, Int. J. Clim., 36, 346–354,
https://doi.org/10.1002/joc.4350, 2016.
Li, J., Liao, H., Hu, J., and Li, N.: Severe particulate pollution days in China
during 2013–2018 and the associated typical weather patterns in
Beijing-Tianjin-Hebei and the Yangtze River Delta regions, Environ. Pollut., 248, 74–81, https://doi.org/10.1016/j.envpol.2019.01.124, 2019.
Liu, Z., Liu, Q., Lin, H. C., Schwartz, C. S., Lee, Y. H., and Wang, T.:
Three-dimensional variational assimilation of MODIS aerosol optical depth:
Implementation and application to a dust storm over East Asia, J. Geophys.
Res.-Atmos., 116, 1–19, https://doi.org/10.1029/2011JD016159, 2011.
Liu, D., Zhao, T., Boiyo, R., Chen, S., Lu, Z., Wu, Y., and Zhao, Y.: Vertical
structures of dust aerosols over East Asia based on CALIPSO retrievals.
Remote Sens., 11, 701, https://doi.org/10.3390/rs11060701, 2019.
Livingston, J. M., Russell, P. B., Reid, J. S., Redemann, J., Schmidt, B.,
Allen, D. A., Torres, O., Levy, R. C., Remer, L. A., Holben, B. N., Smirnov,
A., Dubovik, O., Welton, E. J., Campbell, J. R., Wang, J., and Christopher, S.
A.: Airborne Sun photometer measurements of aerosol optical depth and
columnar water vapor during the Puerto Rico Dust Experiment and comparison
with land, aircraft, and satellite measurements, J. Geophys. Res., 108,
8588, https://doi.org/10.1029/2002JD002520, 2003.
Luo, B., Minnett, P. J., Gentemann, C., and Szczodrak, G.: Improving
satellite retrieved night-time infrared sea surface temperatures in aerosol
contaminated regions, Remote Sens. Environ., 223, 8–20,
https://doi.org/10.1016/j.rse.2019.01.009, 2019.
Lynch, P., Reid, J. S., Westphal, D. L., Zhang, J., Hogan, T. F., Hyer, E. J., Curtis, C. A., Hegg, D. A., Shi, Y., Campbell, J. R., Rubin, J. I., Sessions, W. R., Turk, F. J., and Walker, A. L.: An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences, Geosci. Model Dev., 9, 1489–1522, https://doi.org/10.5194/gmd-9-1489-2016, 2016.
Marsham, J. H., Parker, D. J., Grams, C. M., Johnson, B. T., Grey, W. M. F., and Ross, A. N.: Observations of mesoscale and boundary-layer scale circulations affecting dust transport and uplift over the Sahara, Atmos. Chem. Phys., 8, 6979–6993, https://doi.org/10.5194/acp-8-6979-2008, 2008.
Marsham, J. H., Parker, D. J., Todd, M. C., Banks, J. R., Brindley, H. E., Garcia-Carreras, L., Roberts, A. J., and Ryder, C. L.: The contrasting roles of water and dust in controlling daily variations in radiative heating of the summertime Saharan heat low, Atmos. Chem. Phys., 16, 3563–3575, https://doi.org/10.5194/acp-16-3563-2016, 2016.
Martins, V. S., Novo, E. M. L. M., Lyapustin, A., Aragao, L. E. O. C.,
Freitas, S. R., and Barbosa, C. C. F.: Seasonal and interannual assessment of
cloud cover and atmospheric constituents across the Amazon (2000–2015):
Insights for remote sensing and climate analysis, ISPRS J.
Photogr. Remote Sens., 145, 309–327,
https://doi.org/10.1016/j.isprsjprs.2018.05.013, 2018.
Ménard, R., Gauthier, P., Rochon, Y., Robichaud, A., de Grandpré,
J., Yang, Y., Charrette, C., and Chabrillat, S.: Coupled Stratospheric
Chemistry–Meteorology Data Assimilation, Part II: Weak and Strong
Coupling, Atmosphere, 10, 798, https://doi.org/10.3390/atmos10120798,
2019.
Mortier, A., Goloub, P., Derimian, Y., Tanre, D., Podvin, T., Blarel, L.,
Deroo, C., Marticorena, B., Diallo, A., and Ndiaye, T.: Climatology of
aerosol properties and clear-sky shortwave radiative effects using Lidar and
Sun photometer observations in the Dakar site, J. Geophys. Res.-Atmos.,
121, 6489–6510, https://doi.org/10.1002/2015JD024588, 2016.
O'Neill, N. T., Royer, A., Coté, P., and McArthur, L. J. B.: Relations
between optically derived aerosol parameters, humidity, and air-quality data
in an urban atmosphere, J. Appl Meteor., 32, 1484–1498,
https://doi.org/10.1175/1520-0450(1993)032<1484:RBODAP>2.0.CO;21993, 1993.
Patadia, F., Levy, R. C., and Mattoo, S.: Correcting for trace gas absorption when retrieving aerosol optical depth from satellite observations of reflected shortwave radiation, Atmos. Meas. Tech., 11, 3205–3219, https://doi.org/10.5194/amt-11-3205-2018, 2018.
Perez-Ramirez, D., Whiteman, D. N., Smirnov, A., Lyamani, H., Holben, B. N.,
Pinker, R., Andrade, M., and Alados-Arboledas, L.: Evaluation of AERONET
precipitable water vapor versus microwave radiometry, GPS, and radiosondes
at ARM sites, J. Geophys. Res.-Atmos, 119, 9596–9613,
https://doi.org/10.1002/2014JD021730, 2014.
Perry, K. D. and Hobbs P. V.: Influences of isolated cumulus clouds on the
humidity of their surroundings, J. Atmos. Sci., 53,
159–174, 1996.
Pistone, K., Praveen, P. S., Thomas, R. M., Ramanathan, V., Wilcox, E. M., and Bender, F. A.-M.: Observed correlations between aerosol and cloud properties in an Indian Ocean trade cumulus regime, Atmos. Chem. Phys., 16, 5203–5227, https://doi.org/10.5194/acp-16-5203-2016, 2016.
Pistone, K., Zuidema, P., Wood, R., Diamond, M., da Silva, A. M., Ferrada, G., Saide, P. E., Ueyama, R., Ryoo, J.-M., Pfister, L., Podolske, J., Noone, D., Bennett, R., Stith, E., Carmichael, G., Redemann, J., Flynn, C., LeBlanc, S., Segal-Rozenhaimer, M., and Shinozuka, Y.: Exploring the elevated water vapor signal associated with the free tropospheric biomass burning plume over the southeast Atlantic Ocean, Atmos. Chem. Phys., 21, 9643–9668, https://doi.org/10.5194/acp-21-9643-2021, 2021.
Radke, L. F. and Hobbs, P. V.: Humidity and particle fields around some small
cumulus clouds, J. Atmos. Sci., 48, 1190–1193, https://doi.org/10.1175/1520-0469(1991), 1991.
Reid, J. S., Kinney, J. E., Westphal, D. L., Holben, B. N., Welton, E. J.,
Tsay, S.-C., Christopher, S. A., Eleuterio, D. P., Campbell, J. R., Jonsson,
H. H., Livingston, J. M., Maring, H. B., Meier, M., Pilewskie, P., Reid, E.
A., Russell, P. B., Savoie, D., Smironov, A., and Tanré, D.:
Analysis of measurements of Saharan dust by airborne and ground-based remote
sensing methods during the Puerto Rico Dust Experiment (PRIDE), J. Geophys.
Res., 108, 8586, https://doi.org/10.1029/2002JD002493, 2003.
Reid, J. S., Piketh, S., Burger, R., Ross, K., Jensen, T., Bruintjes, R.,
Walker, A., Al Mandoos, A., Miller, S., Hsu, C., Kuciauskas, A., and
Westphal, D. L.: An overview of UAE2flight operations: Observations of
summertime atmospheric thermodynamic and aerosol profiles of the southern
Arabian Gulf, J. Geophys. Res., 113, D14213, https://doi.org/10.1029/2007JD009435, 2008.
Reid, J. S., Hyer, E. J., Johnson, R., Holben, B. N., Yokelson, R. J.,
Zhang, J., Campbell, J. R., Christopher, S. A., Di Girolamo, L., Giglio, L.,
Holz, R. E., Kearney, C., Miettinen, J., Reid, E. A., Turk, F.J., Wang, J.,
Xian, P., Zhao, G., Balasubramanian, R., Chew, B. N., Janjai, S., Lagrosas,
N., Lestari, P., Lin, N.-H., Mahmud, M., Nguyen, A. X., Norris, B., Oanh,
N. T. K., Oo, M., Salinas, S. V., Welton, E. J., and Liew, S. C.: Observing and
understanding the Southeast Asian aerosol system by remote sensing: An
initial review and analysis for the Seven Southeast Asian Studies (7SEAS)
program, Atmos. Res., 122, 403–468,
https://doi.org/10.1016/j.atmosres.2012.06.005, 2013.
Reid, J. S., Posselt, D. J., Kaku, K., Holz, R. A., Chen, G., Eloranta, E. W., Kuehn, R. E., Woods, S., Zhang, J., Anderson, B., Bui, T. P., Diskin, G. S., Minnis, P., Newchurch, M. J., Tanelli, S., Trepte, C. R., Thornhill, K. L., and Ziemba, L. D.: Observations and hypotheses related to low to middle free tropospheric aerosol, water vapor and altocumulus cloud layers within convective weather regimes: a SEAC4RS case study, Atmos. Chem. Phys., 19, 11413–11442, https://doi.org/10.5194/acp-19-11413-2019, 2019.
Reid, J. S., Gumber, A., Zhang, J., Holz, R. E., Rubin, J. I., Xian, P.,
Smirnov, A., Eck, T. F., O'Neill, N. T., Levy, R. C., Reid, E. A., Colarco, P. R.,
Benedetti, A., and Tanaka, T.: A Coupled Evaluation of Operational MODIS and
Model Aerosol Products for Maritime Environments Using Sun Photometry:
Evaluation of the Fine and Coarse Mode, Remote Sens., 14, 2978,
https://doi.org/10.3390/rs14132978, 2022.
Remer, L. A., Tanre, D., Kaufman, Y. J., Ichoku, C., Mattoo, S., Levy, R.,
Chu, D. A., Holben, B., Dubovik, O., Smirnov, A., Martins, J. V., Li, R.-R,
and Ahmad, Z.: Validation of MODIS aerosol retrieval over ocean, Geophys.
Res. Lett., 29, 1618, https://doi.org/10.1029/2001GL013204, 2002.
Resquin, M. D., Santagata, D., Gallardo, L., Gomez, D., Rossler, C.,
and Dawidowski, L.: Local and remote black carbon sources in the Metropolitan
Area of Buenos Aires, Atmos. Environ., 182, 105–114,
https://doi.org/10.1016/j.atmosenv.2018.03.018, 2018.
Rosário, N. E., Yamasoe, M. A., Brindley, H., Eck, T. F., and Schafer,
J.: Downwelling solar irradiance in the biomass burning region of the
southern Amazon: Dependence on aerosol intensive optical properties and role
of water vapor, J. Geophys. Res., 116, D18304, https://doi.org/10.1029/2011JD015956,
2011.
Rubin, J. I., Reid, J. S., Hansen, J. A., Anderson, J. L., Collins, N., Hoar, T. J., Hogan, T., Lynch, P., McLay, J., Reynolds, C. A., Sessions, W. R., Westphal, D. L., and Zhang, J.: Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting, Atmos. Chem. Phys., 16, 3927–3951, https://doi.org/10.5194/acp-16-3927-2016, 2016.
Ryder, C. L.: Radiative effects of increased water vapor in the upper
Saharan Air Layer associated with enhanced dustiness, J. Geophys. Res.-Atmos., 126, e2021JD034696,
https://doi.org/10.1029/2021JD034696, 2021.
Sano, I., Mukai, S., Yamauo, M., Takamura, T., Nakajima, T., and Holben, B.:
Calibration and Validation of Retrieved Aerosol Properties Based on AERONET
and SKYNET, Adv. Space Res., 32, 2159–2164,
https://doi.org/10.1016/S0273-1177(03)00685-9, 2003.
Schneider, T., O'Gorman, P. A., and Levine, X. J.: Water vapor and the
dynamics of climate changes, Rev. Geophys., 48, RG3001,
https://doi.org/10.1029/2009RG000302, 2010.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 2nd ed., John Wiley and Sons, 1203 pp., 2006.
Sessions, W. R., Reid, J. S., Benedetti, A., Colarco, P. R., da Silva, A., Lu, S., Sekiyama, T., Tanaka, T. Y., Baldasano, J. M., Basart, S., Brooks, M. E., Eck, T. F., Iredell, M., Hansen, J. A., Jorba, O. C., Juang, H.-M. H., Lynch, P., Morcrette, J.-J., Moorthi, S., Mulcahy, J., Pradhan, Y., Razinger, M., Sampson, C. B., Wang, J., and Westphal, D. L.: Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME), Atmos. Chem. Phys., 15, 335–362, https://doi.org/10.5194/acp-15-335-2015, 2015.
Sherwood, S. C., Roca, R., Weckwerth, T. M., and Andronova, N. G.: Tropospheric
water vapor, convection, and climate, Rev. Geophys., 48, RG2001,
https://doi.org/10.1029/2009RG000301, 2010.
Shi, Y. R., Levy, R. C., Eck, T. F., Fisher, B., Mattoo, S., Remer, L. A., Slutsker, I., and Zhang, J.: Characterizing the 2015 Indonesia fire event using modified MODIS aerosol retrievals, Atmos. Chem. Phys., 19, 259–274, https://doi.org/10.5194/acp-19-259-2019, 2019.
Smirnov, A., Royer, A., O'Neill, N. T., and Tarussov, A.: A study of the
link between synoptic air mass type and atmospheric optical parameters, J.
Geophys. Res., 99, 20967–20982, https://doi.org/10.1029/94JD01719, 1994.
Sobrino, J. A., Li, Z.-L., and Stoll, M. P.: Impact of the atmospheric
transmittance and total water vapor content in the algorithms for estimating
satellite sea surface temperatures, IEEE T. Geosci. Remote, 31, 946–952, https://doi.org/10.1109/36.263765, 1993.
Späth, F., Behrendt, A., Muppa, S. K., Metzendorf, S., Riede, A., and Wulfmeyer, V.: 3-D water vapor field in the atmospheric boundary layer observed with scanning differential absorption lidar, Atmos. Meas. Tech., 9, 1701–1720, https://doi.org/10.5194/amt-9-1701-2016, 2016.
Spyrou, C.: Direct radiative impacts of desert dust on atmospheric water
content, Aerosol Sci.
Technol., 52, 693–701, https://doi.org/10.1080/02786826.2018.1449940, 2018.
Stull, R. B. and Eloranta, E. W.: Boundary Layer Experiment 1983, B.
Am. Meteorol. Soc., 65, 450–456, 1984.
Su, H., Jiang, J. H., Liu, X., Penner, J. E., Read, W. G., Massie, S.,
Schoeberl, M. R., Colarco, P., Livesey, N. J., and Santee, M. L.: Observed
increase of TTL temperature and water vapor in polluted clouds over Asia,
J. Climate, 24, 2728–2736,
https://doi.org/10.1175/2010JCLI3749.1, 2011.
Ten Hoeve, J. E., Remer, L. A., and Jacobson, M. Z.: Microphysical and radiative effects of aerosols on warm clouds during the Amazon biomass burning season as observed by MODIS: impacts of water vapor and land cover, Atmos. Chem. Phys., 11, 3021–3036, https://doi.org/10.5194/acp-11-3021-2011, 2011.
Tesche, M., Gross, S., Ansmann, A., Muller, D., Althausen, D.,
Freudenthaler, V., and Esselborn, M.: Profiling of Saharan dust and
biomass-burning smoke with multiwavelength polarization Raman lidar at Cape
Verde, Tellus, 63, 649–676, https://doi.org/10.1111/j.1600-0889.2011.00548.x, 2011.
Turner D. D., Ferrare, R. A., Heilman Brasseur, L. A., Feltz, W. F., and Tooman,
T. P.: Automated Retrievals of Water Vapor and Aerosol Profiles from an
Operational Raman Lidar, J. Atmos. Ocean. Tech., 19, 37–50, https://doi.org/10.1175/1520-0426(2002), 2002.
Veselovskii, I., Goloub, P., Podvin, T., Bovchaliuk, V., Derimian, Y., Augustin, P., Fourmentin, M., Tanre, D., Korenskiy, M., Whiteman, D. N., Diallo, A., Ndiaye, T., Kolgotin, A., and Dubovik, O.: Retrieval of optical and physical properties of African dust from multiwavelength Raman lidar measurements during the SHADOW campaign in Senegal, Atmos. Chem. Phys., 16, 7013–7028, https://doi.org/10.5194/acp-16-7013-2016, 2016.
Wang, Y., Hua, D., Wang, L., Tang, J., Mao, J., and Kobayashi, T.:
Observations and analysis of relationship between water vapor and aerosols
using raman lidar, Jpn. J. Appl. Phys., 51, 102401,
https://doi.org/10.1143/JJAP.51.102401, 2012.
Wang, J., Gei, C., Yang, Z., Hyer, E. J., Reid, J. S., Chew, B. N., and Mahmud
M.: Mesoscale modeling of smoke transport over the Southeast Asian Maritime
Continent: interplay of sea breeze, trade wind, typhoon, and topography,
Atmos. Res., 122, 486–503, https://doi.org/10.1016/j.atmosres.2012.05.009,
2013.
Wang, H., Xu, J., Zhang, M., Yang, Y., Shen, X., Wang, Y., Chen, D., and Guo, J.:
A Study of the meteorological causes of a prolonged and severe haze episode
in January 2013 over central-eastern China, Atmos. Environ., 98,
146–157, https://doi.org/10.1016/j.atmosenv.2014.08.053, 2014.
Wang, L. T., Wei, Z., Yang, J., Zhang, Y., Zhang, F. F., Su, J., Meng, C. C., and Zhang, Q.: The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications, Atmos. Chem. Phys., 14, 3151–3173, https://doi.org/10.5194/acp-14-3151-2014, 2014.
Wimmers, A. J. and Velden, C. S.: Seamless Advective Blending of Total
Precipitable Water Retrievals from Polar-Orbiting Satellites, J. Appl.
Meteor. Clim., 50, 1024–1036, https://doi.org/10.1175/2010JAMC2589.1, 2011.
Wong, S., Dessler, A. E., Mahowald, N. M., Yang, P., and Feng, Q.:
Maintenance of lower tropospheric temperature inversion in the Saharan air
layer by dust and dry anomaly, J. Climate, 22, 5149–5162, https://doi.org/10.1175/2009jcli2847.1, 2009.
Yu, S., Alapaty, K., Mathur, R., Pleim, J., Zhang, Y., Nolte, C., Eder, B.,
Foley, K., and Nagashima, T.: Attribution of the United States “warming hole”:
Aerosol indirect effect and precipitable water vapor, Sci. Rep., 4, 6929,
https://doi.org/10.1038/srep06929, 2014.
Yu, L., Zhang, M., Wang, L., Lu, Y., and Li, J.: Effects of aerosols and
water vapour on spatial-temporal variations of the clear-sky surface solar
radiation in China, Atmos. Res., 248, 105162,
https://doi.org/10.1016/j.atmosres.2020.105162, 2021.
Yufeng, W., Qiang, F., Meina, Z., Fei, G., Huige, D., Yuehui, S., and Dengxin,
A.: UV multifunctional Raman lidar system for the observation and analysis
of atmospheric temperature, humidity, aerosols and their conveying
characteristics over Xi'an, J. Quant. Spectrosc. Ra., 205, 114–126,
https://doi.org/10.1016/j.jqsrt.2017.10.001, 2018.
Xian, P., Reid, J., Hyer, E., Sampson, C. Rubin, J., Ades, M., Asencio, N.,
Basart, S., Benedetti, A., Bhattacharjee, P. S., Brooks, M. E., Colarco, P. R.,
da Silva, A. M., Eck, T. F., Guth, J., Jorba, O., Kouznetsov, R., Kipling, Z.,
Sofiev, M., Perez Garcia-Pando, C., Pradhan, Y., Tanaka, T., Wang, J.,
Westphal, D. L., Yumimoto, K., and Zhang, J.: Current state of the global
operational aerosol multi-model ensemble: An update from the International
Cooperative for Aerosol Prediction (ICAP), Q. J. Roy. Meteor. Soc., 145, 176-209, https://doi.org/10.1002/qj.3497, 2019.
Xian, P., Klotzbach, P. J., Dunion, J. P., Janiga, M. A., Reid, J. S., Colarco, P. R., and Kipling, Z.: Revisiting the relationship between Atlantic dust and tropical cyclone activity using aerosol optical depth reanalyses: 2003–2018, Atmos. Chem. Phys., 20, 15357–15378, https://doi.org/10.5194/acp-20-15357-2020, 2020.
Xian, P.: USGODAE Data Catalog – Selected Data Sets, NRL Monterey [data set], https://usgodae.org/cgi-bin/datalist.pl?dset=nrl_naaps_reanalysis&summary=Go, last access: 27 February 2022.
Zeng, Z.-C., Zhang, Q., Natraj, V., Margolis, J. S., Shia, R.-L., Newman, S., Fu, D., Pongetti, T. J., Wong, K. W., Sander, S. P., Wennberg, P. O., and Yung, Y. L.: Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin, Atmos. Chem. Phys., 17, 2495–2508, https://doi.org/10.5194/acp-17-2495-2017, 2017.
Zhang, J., Reid, J. S., Westphal, D. L., Baker, N. L., and Hyer, E. J.: A system
for operational aerosol optical depth data assimilation over global oceans,
J. Geophys. Res.-Atmos., 113, D10208,
https://doi.org/10.1029/2007JD009065, 2008.
Zhang, J., Wang, S., Guo, Y., Zhang, R., Qin, X., Huang, K., Wang, D., Fu,
Q., Wang, J., and Zhou, B.: Aerosol vertical profile retrieved from
ground-based MAX-DOAS observation and characteristic distribution during the
wintertime in Shanghai, China, Atmos. Environ., 192, 193–205,
https://doi.org/10.1016/j.atmosenv.2018.08.051, 2018.
Zhu, J., Che, H., Xia, X., Yu, X., and Wang, J.: Analysis of water vapor effects
on aerosol properties and direct radiative forcing in China, Sci. Total Environ., 650, 257–266,
https://doi.org/10.1016/j.scitotenv.2018.09.022, 2019.
Short summary
This work aims to quantify the covariability between aerosol optical depth/extinction with water vapor (PW) globally, using NASA AERONET observations and NAAPS model data. Findings are important for data assimilation and radiative transfer. The study shows statistically significant and positive AOD–PW relationships are found across the globe, varying in strength with location and season and tied to large-scale aerosol events. Hygroscopic growth was also found to be an important factor.
This work aims to quantify the covariability between aerosol optical depth/extinction with water...
Altmetrics
Final-revised paper
Preprint