Articles | Volume 20, issue 10
https://doi.org/10.5194/acp-20-6015-2020
© Author(s) 2020. 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-20-6015-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 May 2020
Research article |
| 20 May 2020
| 20 May 2020
Improving air quality forecasting with the assimilation of GOCI aerosol optical depth (AOD) retrievals during the KORUS-AQ period
National Center for Atmospheric Research, Boulder, Colorado, USA
Zhiquan Liu
National Center for Atmospheric Research, Boulder, Colorado, USA
Wei Sun
National Center for Atmospheric Research, Boulder, Colorado, USA
Yonghee Lee
National Institute of Environmental Research, Incheon, South Korea
Limseok Chang
National Institute of Environmental Research, Incheon, South Korea
Viewed
Total article views: 2,576 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,749 | 697 | 130 | 2,576 | 78 | 74 |
- HTML: 1,749
- PDF: 697
- XML: 130
- Total: 2,576
- BibTeX: 78
- EndNote: 74
Total article views: 2,051 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 May 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,470 | 464 | 117 | 2,051 | 52 | 46 |
- HTML: 1,470
- PDF: 464
- XML: 117
- Total: 2,051
- BibTeX: 52
- EndNote: 46
Total article views: 525 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 279 | 233 | 13 | 525 | 26 | 28 |
- HTML: 279
- PDF: 233
- XML: 13
- Total: 525
- BibTeX: 26
- EndNote: 28
Viewed (geographical distribution)
Total article views: 2,576 (including HTML, PDF, and XML)
Thereof 2,504 with geography defined
and 72 with unknown origin.
Total article views: 2,051 (including HTML, PDF, and XML)
Thereof 2,037 with geography defined
and 14 with unknown origin.
Total article views: 525 (including HTML, PDF, and XML)
Thereof 467 with geography defined
and 58 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
- Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
- Development of Three‐Dimensional Variational Data Assimilation Method of Aerosol for the CMAQ Model: An Application for PM2.5 and PM10 Forecasts in the Sichuan Basin Z. Zhang et al. 10.1029/2020EA001614
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Implementation of aerosol data assimilation in WRFDA (v4.0.3) for WRF-Chem (v3.9.1) using the RACM/MADE-VBS scheme S. Ha 10.5194/gmd-15-1769-2022
- A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives S. Padimala & C. Matli 10.1016/j.atmosres.2024.107514
- Observing system simulation experiment (OSSE)-quantitative evaluation of lidar observation networks to improve 3D aerosol forecasting in China H. Ye et al. 10.1016/j.atmosres.2022.106069
- Development and application of a hybrid long-short term memory – three dimensional variational technique for the improvement of PM2.5 forecasting X. Lu et al. 10.1016/j.scitotenv.2020.144221
- Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. 10.3390/atmos13020160
- A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations D. Wang et al. 10.5194/gmd-15-1821-2022
- Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub> S. Park et al. 10.5194/gmd-15-2773-2022
- Temporal and spatial variations of aerosol optical properties over the Korean peninsula during KORUS-AQ Y. Choi et al. 10.1016/j.atmosenv.2021.118301
- 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
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods U. Dash et al. 10.1016/j.envpol.2023.121099
- Lightweight Assimilation of Open Urban Ambient Air Quality Monitoring Data and Numerical Simulations with Unknown Uncertainty L. Miasayedava et al. 10.1007/s10666-023-09909-x
- Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments L. Di Antonio et al. 10.5194/acp-23-12455-2023
18 citations as recorded by crossref.
- Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
- Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
- Development of Three‐Dimensional Variational Data Assimilation Method of Aerosol for the CMAQ Model: An Application for PM2.5 and PM10 Forecasts in the Sichuan Basin Z. Zhang et al. 10.1029/2020EA001614
- Evaluation of Aerosol Properties Observed by DSCOVR/EPIC Instrument From the Earth‐Sun Lagrange 1 Orbit C. Ahn et al. 10.1029/2020JD033651
- Implementation of aerosol data assimilation in WRFDA (v4.0.3) for WRF-Chem (v3.9.1) using the RACM/MADE-VBS scheme S. Ha 10.5194/gmd-15-1769-2022
- A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives S. Padimala & C. Matli 10.1016/j.atmosres.2024.107514
- Observing system simulation experiment (OSSE)-quantitative evaluation of lidar observation networks to improve 3D aerosol forecasting in China H. Ye et al. 10.1016/j.atmosres.2022.106069
- Development and application of a hybrid long-short term memory – three dimensional variational technique for the improvement of PM2.5 forecasting X. Lu et al. 10.1016/j.scitotenv.2020.144221
- Length Scale Analyses of Background Error Covariances for EnKF and EnSRF Data Assimilation S. Park et al. 10.3390/atmos13020160
- A three-dimensional variational data assimilation system for aerosol optical properties based on WRF-Chem v4.0: design, development, and application of assimilating Himawari-8 aerosol observations D. Wang et al. 10.5194/gmd-15-1821-2022
- Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM<sub>2.5</sub> S. Park et al. 10.5194/gmd-15-2773-2022
- Temporal and spatial variations of aerosol optical properties over the Korean peninsula during KORUS-AQ Y. Choi et al. 10.1016/j.atmosenv.2021.118301
- 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
- Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
- An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. 10.5194/gmd-15-3555-2022
- Performance comparisons of the three data assimilation methods for improved predictability of PM2·5: Ensemble Kalman filter, ensemble square root filter, and three-dimensional variational methods U. Dash et al. 10.1016/j.envpol.2023.121099
- Lightweight Assimilation of Open Urban Ambient Air Quality Monitoring Data and Numerical Simulations with Unknown Uncertainty L. Miasayedava et al. 10.1007/s10666-023-09909-x
- Aerosol optical depth climatology from the high-resolution MAIAC product over Europe: differences between major European cities and their surrounding environments L. Di Antonio et al. 10.5194/acp-23-12455-2023
Latest update: 23 Nov 2024
Short summary
This study examines the effect of aerosol optical depth (AOD) retrieved from the Korean Geostationary Ocean Color Imager (GOCI) sensors on surface PM2.5 forecasts using the online coupled WRF-Chem forecasting model and the GSI 3D-Var analysis system. During the KORUS-AQ campaign period, the assimilation of GOCI AOD retrieved at the 550 nm wavelength greatly improved air quality forecasting up to 24 h when assimilated with surface PM2.5 observations, particularly for heavy pollution events.
This study examines the effect of aerosol optical depth (AOD) retrieved from the Korean...
Altmetrics
Final-revised paper
Preprint