Articles | Volume 14, issue 12
https://doi.org/10.5194/acp-14-6261-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-6261-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Monitoring high-ozone events in the US Intermountain West using TEMPO geostationary satellite observations
P. Zoogman
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
currenty at: Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
D. J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
K. Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
X. Liu
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
M. Lin
Atmospheric and Ocean Sciences, Princeton University, Princeton, NJ, USA
A. Fiore
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
K. Travis
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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30 citations as recorded by crossref.
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- Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations P. Saide et al. 10.1002/2014GL062089
- GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia S. Lee et al. 10.5194/gmd-9-17-2016
- Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
- A Novel Ozone Profile Shape Retrieval Using Full-Physics Inverse Learning Machine (FP-ILM) J. Xu et al. 10.1109/JSTARS.2017.2740168
- Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite X. Xia et al. 10.1016/j.atmosenv.2020.117695
- Wildfire and prescribed burning impacts on air quality in the United States D. Jaffe et al. 10.1080/10962247.2020.1749731
- Validation of the TOLNet lidars: the Southern California Ozone Observation Project (SCOOP) T. Leblanc et al. 10.5194/amt-11-6137-2018
- Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
- Scientific assessment of background ozone over the U.S.: Implications for air quality management D. Jaffe et al. 10.1525/elementa.309
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- JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al. 10.5194/gmd-10-3225-2017
- Evaluation of NASA's high-resolution global composition simulations: Understanding a pollution event in the Chesapeake Bay during the summer 2017 OWLETS campaign N. Dacic et al. 10.1016/j.atmosenv.2019.117133
- Aerosol data assimilation using data from Himawari‐8, a next‐generation geostationary meteorological satellite K. Yumimoto et al. 10.1002/2016GL069298
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
- Evaluation of potential sources of a priori ozone profiles for TEMPO tropospheric ozone retrievals M. Johnson et al. 10.5194/amt-11-3457-2018
- Coordinated profiling of stratospheric intrusions and transported pollution by the Tropospheric Ozone Lidar Network (TOLNet) and NASA Alpha Jet experiment (AJAX): Observations and comparison to HYSPLIT, RAQMS, and FLEXPART A. Langford et al. 10.1016/j.atmosenv.2017.11.031
- Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
- Observing System Simulation Experiments for air quality R. Timmermans et al. 10.1016/j.atmosenv.2015.05.032
- Improve observation-based ground-level ozone spatial distribution by compositing satellite and surface observations: A simulation experiment Y. Zhang et al. 10.1016/j.atmosenv.2018.02.044
- Improved ozone simulation in East Asia via assimilating observations from the first geostationary air-quality monitoring satellite: Insights from an Observing System Simulation Experiment L. Shu et al. 10.1016/j.atmosenv.2022.119003
- Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
- Increasing the Use of Earth Science Data and Models in Air Quality Management J. Milford & D. Knight 10.1080/10962247.2016.1248303
- The world Brewer reference triad – updated performance assessment and new double triad X. Zhao et al. 10.5194/amt-14-2261-2021
- Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
- On the feasibility of monitoring carbon monoxide in the lower troposphere from a constellation of Northern Hemisphere geostationary satellites. (Part 1) J. Barré et al. 10.1016/j.atmosenv.2015.04.069
- The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
- Formaldehyde column density measurements as a suitable pathway to estimate near‐surface ozone tendencies from space J. Schroeder et al. 10.1002/2016JD025419
- Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models G. Leone et al. 10.3390/atmos14020231
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