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

doi:10.3390/atmos10090543

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

^*Corresponding author for this work

Earth and Climate

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

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 fixedlag 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.

Original language	English
Article number	543
Pages (from-to)	1-14
Number of pages	14
Journal	Atmosphere
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/atmos10090543
Publication status	Published - 12 Sept 2019

Funding

The model simulations were performed using the supercomputer resource NIES/NEC. The WRF-Chem source code is available at http://www2.mmm.ucar.edu/wrf/users/download/get_source.html. We are grateful to the relevant researchers who provided the observation data of Himawari-8 (http://www.eorc.jaxa.jp/ptree/index.html) and MODIS (https://modis-atmos.gsfc.nasa.gov/products/aerosol). The CALIPSO data are obtained from the NASA Langley Research Center Atmospheric Science Data Center (http://www-calipso.larc.nasa.gov/). We thank the Hong Bin Chen and Philippe Goloub for their efforts in establishing and maintaining the Beijing AERONET site

Funders	Funder number
NASA Langley Research Center Atmospheric Science Data Center
MODIS
National Engineering College
National Institute for Environmental Studies
Japan Society for the Promotion of Science	16H02946

Keywords

Aerosol optical depths
Dust emissions
Ensemble Kalman smoother
Himawari-8

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10.3390/atmos10090543

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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",

abstract = "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 fixedlag 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.",

keywords = "Aerosol optical depths, Dust emissions, Ensemble Kalman smoother, Himawari-8",

author = "Tie Dai and Yueming Cheng and Daisuke Goto and Schutgens, \{Nick A.J.\} and Maki Kikuchi and Mayumi Yoshida and Guangyu Shi and Teruyuki Nakajima",

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T2 - A case study with WRF-Chem v3.5.1

AU - Dai, Tie

AU - Cheng, Yueming

AU - Goto, Daisuke

AU - Schutgens, Nick A.J.

AU - Kikuchi, Maki

AU - Yoshida, Mayumi

AU - Shi, Guangyu

AU - Nakajima, Teruyuki

PY - 2019/9/12

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N2 - 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 fixedlag 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.

AB - 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 fixedlag 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.

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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

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