Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite

被引:104
|
作者
Yumimoto, K. [1 ]
Nagao, T. M. [2 ]
Kikuchi, M. [2 ]
Sekiyama, T. T. [1 ]
Murakami, H. [2 ]
Tanaka, T. Y. [1 ]
Ogi, A. [3 ]
Irie, H. [4 ]
Khatri, P. [4 ,5 ]
Okumura, H. [6 ]
Arai, K. [6 ]
Morino, I. [7 ]
Uchino, O. [1 ,7 ]
Maki, T. [1 ]
机构
[1] Japan Meteorol Agcy, Meteorol Res Inst, Tsukuba, Ibaraki, Japan
[2] Japan Aerosp Explorat Agcy, Earth Observat Res Ctr, Tsukuba, Ibaraki, Japan
[3] Japan Meteorol Agcy, Tokyo, Japan
[4] Chiba Univ, Ctr Environm Remote Sensing CERes, Chiba, Japan
[5] Tohoku Univ, Grad Sch Sci, Ctr Atmospher & Ocean Studies, Sendai, Miyagi, Japan
[6] Saga Univ, Grad Sch Sci & Engn, Saga, Japan
[7] Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan
基金
日本学术振兴会; 日本科学技术振兴机构;
关键词
aerosol; data assimilation; geostationary satellite; aerosol climate model; ensemble Kalman filter; TRANSPORT MODEL; KALMAN FILTER; AIR-QUALITY; EMISSIONS; SYSTEM; ASIA; SIMULATIONS; RETRIEVALS; ALGORITHM; FORECASTS;
D O I
10.1002/2016GL069298
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Himawari-8, a next-generation geostationary meteorological satellite, was launched on 7 October 2014 and became operational on 7 July 2015. The advanced imager on board Himawari-8 is equipped with 16 observational bands (including three visible and three near-infrared bands) that enable retrieval of full-disk aerosol optical properties at 10min intervals from geostationary (GEO) orbit. Here we show the first application of aerosol optical properties (AOPs) derived from Himawari-8 data to aerosol data assimilation. Validation of the assimilation experiment by comparison with independent observations demonstrated successful modeling of continental pollution that was not predicted by simulation without assimilation and reduced overestimates of dust front concentrations. These promising results suggest that AOPs derived from Himawari-8/9 and other planned GEO satellites will considerably improve forecasts of air quality, inverse modeling of emissions, and aerosol reanalysis through assimilation techniques.
引用
收藏
页码:5886 / 5894
页数:9
相关论文
共 50 条
  • [1] Aerosol data assimilation using data from Fengyun-4A, a next-generation geostationary meteorological satellite
    Xia, Xiaoli
    Min, Jinzhong
    Shen, Feifei
    Wang, Yuanbing
    Xu, Dongmei
    Yang, Chun
    Zhang, Peng
    [J]. ATMOSPHERIC ENVIRONMENT, 2020, 237
  • [2] Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products
    Wei, Jing
    Li, Zhanqing
    Sun, Lin
    Peng, Yiran
    Zhang, Zhaoyang
    Li, Zhengqiang
    Su, Tianning
    Feng, Lan
    Cai, Zhaoxin
    Wu, Hao
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 692 : 879 - 891
  • [3] Retrieval and Validation of Aerosol Optical Properties Using Japanese Next Generation Meteorological Satellite, Himawari-8
    Lim, Hyunkwang
    Choi, Myungje
    Kim, Mijin
    Kim, Jhoon
    Chan, P. W.
    [J]. KOREAN JOURNAL OF REMOTE SENSING, 2016, 32 (06) : 681 - 691
  • [4] Orthorectification of Data from the AHI Aboard the Himawari-8 Geostationary Satellite
    Matsuoka, Masayuki
    Yoshioka, Hiroki
    [J]. REMOTE SENSING, 2023, 15 (09)
  • [5] A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8
    Yan, Xing
    Li, Zhanqing
    Luo, Nana
    Shi, Wenzhong
    Zhao, Wenji
    Yang, Xingchuan
    Jin, Jiannan
    [J]. ATMOSPHERIC RESEARCH, 2018, 207 : 14 - 27
  • [6] DETECTING ACTIVE FIRES WITH HIMAWARI-8 GEOSTATIONARY SATELLITE DATA
    Liew, Soo Chin
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9984 - 9987
  • [7] Sea surface temperature from the new Japanese geostationary meteorological Himawari-8 satellite
    Kurihara, Yukio
    Murakami, Hiroshi
    Kachi, Misako
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (03) : 1234 - 1240
  • [8] Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea
    Jang, Eunna
    Kang, Yoojin
    Im, Jungho
    Lee, Dong-Won
    Yoon, Jongmin
    Kim, Sang-Kyun
    [J]. REMOTE SENSING, 2019, 11 (03)
  • [9] Retrievals of Sea Surface Current Vectors from Geostationary Satellite Data (Himawari-8/AHI)
    Hee-Young Kim
    Kyung-Ae Park
    Hee-Ae Kim
    Sung-Rae Chung
    Seong-Hoon Cheong
    [J]. Asia-Pacific Journal of Atmospheric Sciences, 2020, 56 : 249 - 263
  • [10] Retrievals of Sea Surface Current Vectors from Geostationary Satellite Data (Himawari-8/AHI)
    Kim, Hee-Young
    Park, Kyung-Ae
    Kim, Hee-Ae
    Chung, Sung-Rae
    Cheong, Seong-Hoon
    [J]. ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2020, 56 (02) : 249 - 263