Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1
We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with C...
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ftdoajarticles:oai:doaj.org/article:155f9d73278344f7a26484a87f5eda92 2023-05-15T13:06:08+02:00 Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 Tie Dai Yueming Cheng Daisuke Goto Nick A. J. Schutgens Maki Kikuchi Mayumi Yoshida Guangyu Shi Teruyuki Nakajima 2019-09-01T00:00:00Z https://doi.org/10.3390/atmos10090543 https://doaj.org/article/155f9d73278344f7a26484a87f5eda92 EN eng MDPI AG https://www.mdpi.com/2073-4433/10/9/543 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10090543 https://doaj.org/article/155f9d73278344f7a26484a87f5eda92 Atmosphere, Vol 10, Iss 9, p 543 (2019) dust emissions ensemble Kalman smoother Himawari-8 aerosol optical depths Meteorology. Climatology QC851-999 article 2019 ftdoajarticles https://doi.org/10.3390/atmos10090543 2022-12-31T13:14:43Z We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with Chemistry (WRF-Chem). The assimilated observations are the hourly aerosol optical depths (AODs) from the next-generation geostationary satellite Himawari-8. The posterior total dust emissions (2.59 Tg) for this event are 3.8 times higher than the priori total dust emissions (0.68 Tg) during 25−27 November 2016. The net result is that the simulated aerosol horizontal and vertical distributions are both in better agreement with the assimilated Himawari-8 observations and independent observations from the ground-based AErosol RObotic NETwork (AERONET), the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The developed emission inversion approach, combined with the geostationary satellite observations, can be very helpful for properly estimating the Asian dust emissions. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmosphere 10 9 543 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
dust emissions ensemble Kalman smoother Himawari-8 aerosol optical depths Meteorology. Climatology QC851-999 |
spellingShingle |
dust emissions ensemble Kalman smoother Himawari-8 aerosol optical depths Meteorology. Climatology QC851-999 Tie Dai Yueming Cheng Daisuke Goto Nick A. J. Schutgens Maki Kikuchi Mayumi Yoshida Guangyu Shi Teruyuki Nakajima Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
topic_facet |
dust emissions ensemble Kalman smoother Himawari-8 aerosol optical depths Meteorology. Climatology QC851-999 |
description |
We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with Chemistry (WRF-Chem). The assimilated observations are the hourly aerosol optical depths (AODs) from the next-generation geostationary satellite Himawari-8. The posterior total dust emissions (2.59 Tg) for this event are 3.8 times higher than the priori total dust emissions (0.68 Tg) during 25−27 November 2016. The net result is that the simulated aerosol horizontal and vertical distributions are both in better agreement with the assimilated Himawari-8 observations and independent observations from the ground-based AErosol RObotic NETwork (AERONET), the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The developed emission inversion approach, combined with the geostationary satellite observations, can be very helpful for properly estimating the Asian dust emissions. |
format |
Article in Journal/Newspaper |
author |
Tie Dai Yueming Cheng Daisuke Goto Nick A. J. Schutgens Maki Kikuchi Mayumi Yoshida Guangyu Shi Teruyuki Nakajima |
author_facet |
Tie Dai Yueming Cheng Daisuke Goto Nick A. J. Schutgens Maki Kikuchi Mayumi Yoshida Guangyu Shi Teruyuki Nakajima |
author_sort |
Tie Dai |
title |
Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
title_short |
Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
title_full |
Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
title_fullStr |
Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
title_full_unstemmed |
Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1 |
title_sort |
inverting the east asian dust emission fluxes using the ensemble kalman smoother and himawari-8 aods: a case study with wrf-chem v3.5.1 |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/atmos10090543 https://doaj.org/article/155f9d73278344f7a26484a87f5eda92 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmosphere, Vol 10, Iss 9, p 543 (2019) |
op_relation |
https://www.mdpi.com/2073-4433/10/9/543 https://doaj.org/toc/2073-4433 2073-4433 doi:10.3390/atmos10090543 https://doaj.org/article/155f9d73278344f7a26484a87f5eda92 |
op_doi |
https://doi.org/10.3390/atmos10090543 |
container_title |
Atmosphere |
container_volume |
10 |
container_issue |
9 |
container_start_page |
543 |
_version_ |
1766404236731482112 |