Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-2709-2014
© 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/gmd-7-2709-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
19 Nov 2014
Development and technical paper |
| 19 Nov 2014
The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States
D. Chen
National Center for Atmospheric Research, Boulder, Colorado, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
C. S. Schwartz
National Center for Atmospheric Research, Boulder, Colorado, USA
H.-C. Lin
National Center for Atmospheric Research, Boulder, Colorado, USA
J. D. Cetola
Air Force Weather Agency, Omaha, Nebraska, USA
University of California, Los Angeles, Los Angeles, California, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
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- Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts S. Kolusu et al. 10.5194/acp-15-12251-2015
- Quantitative Evaluation of Dust and Black Carbon Column Concentration in the MERRA-2 Reanalysis Dataset Using Satellite-Based Component Retrievals L. Li et al. 10.3390/rs15020388
- Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al. 10.5194/acp-18-31-2018
- A Review of Data Assimilation on Aerosol Optical, Radiative, and Climatic Effects Study Y. Cheng et al. 10.1007/s41810-022-00142-9
- Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period M. Werner et al. 10.1016/j.atmosenv.2018.12.016
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies V. Buchard et al. 10.1175/JCLI-D-16-0613.1
- California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. 10.5194/acp-24-6937-2024
- Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season W. Lassman et al. 10.1029/2022JD037062
- Black Carbon Emissions, Transport and Effect on Radiation Forcing Modelling during the Summer 2019–2020 Wildfires in Southeast Australia H. Duc et al. 10.3390/atmos14040699
- Dust radiative effects on atmospheric thermodynamics and tropical cyclogenesis over the Atlantic Ocean using WRF-Chem coupled with an AOD data assimilation system D. Chen et al. 10.5194/acp-17-7917-2017
- Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
- Background error statistics for aerosol variables from WRF/Chem predictions in Southern California Z. Zang et al. 10.1007/s13143-015-0063-8
- Assessing the assimilation of Himawari-8 observations on aerosol forecasts and radiative effects during pollution transport from South Asia to the Tibetan Plateau M. Zhao et al. 10.5194/acp-24-235-2024
- Origin of Fine Particulate Carbon in the Rural United States B. Schichtel et al. 10.1021/acs.est.7b00645
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
- Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States C. Wang et al. 10.1016/j.scitotenv.2017.07.273
- Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer 10.1016/j.jqsrt.2020.106849
- Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia A. Labban & M. Butt 10.1016/j.heliyon.2023.e17047
- Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations Y. Cheng et al. 10.1029/2022GL099908
- Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
- Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States V. Buchard et al. 10.1016/j.atmosenv.2015.11.004
- Improving the sectional Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosols of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with the revised Gridpoint Statistical Interpolation system and multi-wavelength aerosol optical measurements: the dust aerosol observation campaign at Kashi, near the Taklimakan Desert, northwestern China W. Chang et al. 10.5194/acp-21-4403-2021
- Information constraints in variational data assimilation M. Kahnert 10.1002/qj.3347
- Improving PM2.5 forecast during haze episodes over China based on a coupled 4D-LETKF and WRF-Chem system Y. Kong et al. 10.1016/j.atmosres.2020.105366
- Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9 Y. Cheng et al. 10.1016/j.scitotenv.2024.171541
- Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions M. Gao et al. 10.1021/acs.est.6b03745
- Aerosol optical depth assimilation for a modal aerosol model: Implementation and application in AOD forecasts over East Asia J. Pang et al. 10.1016/j.scitotenv.2020.137430
28 citations as recorded by crossref.
- Combined effect of surface PM2.5 assimilation and aerosol-radiation interaction on winter severe haze prediction in central and eastern China Y. Peng et al. 10.1016/j.apr.2023.101802
- Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts S. Kolusu et al. 10.5194/acp-15-12251-2015
- Quantitative Evaluation of Dust and Black Carbon Column Concentration in the MERRA-2 Reanalysis Dataset Using Satellite-Based Component Retrievals L. Li et al. 10.3390/rs15020388
- Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al. 10.5194/acp-18-31-2018
- A Review of Data Assimilation on Aerosol Optical, Radiative, and Climatic Effects Study Y. Cheng et al. 10.1007/s41810-022-00142-9
- Assimilation of PM2.5 ground base observations to two chemical schemes in WRF-Chem – The results for the winter and summer period M. Werner et al. 10.1016/j.atmosenv.2018.12.016
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies V. Buchard et al. 10.1175/JCLI-D-16-0613.1
- California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. 10.5194/acp-24-6937-2024
- Using Satellite‐Derived Fire Arrival Times for Coupled Wildfire‐Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season W. Lassman et al. 10.1029/2022JD037062
- Black Carbon Emissions, Transport and Effect on Radiation Forcing Modelling during the Summer 2019–2020 Wildfires in Southeast Australia H. Duc et al. 10.3390/atmos14040699
- Dust radiative effects on atmospheric thermodynamics and tropical cyclogenesis over the Atlantic Ocean using WRF-Chem coupled with an AOD data assimilation system D. Chen et al. 10.5194/acp-17-7917-2017
- Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
- Background error statistics for aerosol variables from WRF/Chem predictions in Southern California Z. Zang et al. 10.1007/s13143-015-0063-8
- Assessing the assimilation of Himawari-8 observations on aerosol forecasts and radiative effects during pollution transport from South Asia to the Tibetan Plateau M. Zhao et al. 10.5194/acp-24-235-2024
- Origin of Fine Particulate Carbon in the Rural United States B. Schichtel et al. 10.1021/acs.est.7b00645
- Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models M. Bocquet et al. 10.5194/acp-15-5325-2015
- Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States C. Wang et al. 10.1016/j.scitotenv.2017.07.273
- Modelling optical properties of atmospheric black carbon aerosols M. Kahnert & F. Kanngießer 10.1016/j.jqsrt.2020.106849
- Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia A. Labban & M. Butt 10.1016/j.heliyon.2023.e17047
- Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations Y. Cheng et al. 10.1029/2022GL099908
- Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al. 10.1029/2019JD031465
- Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States V. Buchard et al. 10.1016/j.atmosenv.2015.11.004
- Improving the sectional Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosols of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with the revised Gridpoint Statistical Interpolation system and multi-wavelength aerosol optical measurements: the dust aerosol observation campaign at Kashi, near the Taklimakan Desert, northwestern China W. Chang et al. 10.5194/acp-21-4403-2021
- Information constraints in variational data assimilation M. Kahnert 10.1002/qj.3347
- Improving PM2.5 forecast during haze episodes over China based on a coupled 4D-LETKF and WRF-Chem system Y. Kong et al. 10.1016/j.atmosres.2020.105366
- Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9 Y. Cheng et al. 10.1016/j.scitotenv.2024.171541
- Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions M. Gao et al. 10.1021/acs.est.6b03745
- Aerosol optical depth assimilation for a modal aerosol model: Implementation and application in AOD forecasts over East Asia J. Pang et al. 10.1016/j.scitotenv.2020.137430
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