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

K. Yumimoto, T. M. Nagao, M. Kikuchi, T. T. Sekiyama, H. Murakami, T. Y. Tanaka, A. Ogi, H. Irie, P. Khatri, H. Okumura, K. Arai, I. Morino, O. Uchino, T. Maki

Research output: Contribution to journalLetterpeer-review

57 Citations (Scopus)

Abstract

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 10 min 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.

Original languageEnglish
Pages (from-to)5886-5894
Number of pages9
JournalGeophysical Research Letters
Volume43
Issue number11
DOIs
Publication statusPublished - 2016 Jun 16

Keywords

  • aerosol
  • aerosol climate model
  • data assimilation
  • ensemble Kalman filter
  • geostationary satellite

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

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