Japan Geoscience Union Meeting 2021

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG36] Satellite Earth Environment Observation

Thu. Jun 3, 2021 1:45 PM - 3:15 PM Ch.08 (Zoom Room 08)

convener:Riko Oki(Japan Aerospace Exploration Agency), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Yukari Takayabu(Atmosphere and Ocean Research Institute, the University of Tokyo), Tsuneo Matsunaga(Center for Global Environmental Research and Satellite Observation Center, National Institute for Environmental Studies), Chairperson:Kozo OKAMOTO(Meteorological Research Institute), Takemasa Miyoshi(RIKEN)

3:00 PM - 3:15 PM

[ACG36-18] Recent progress in impact assessment of hyperspectral sounder for a Himawari follow-on satellite

*Kozo OKAMOTO1, Hiromi OWADA2, Tadashi Fujita1, Masahiro Hayashi1, Kotaro Bessho2 (1.Meteorological Research Institute, 2.Japan Meteorological Agency)

Keywords:satellite data assimilation, Himawari follow-on program, Hyperspectral infrared sounder, Observing System Simulation Experiment (OSSE)

Potential impacts on numerical weather prediction of a hyperspectral infrared sounder (HSS) on Himawari-8/-9 follow-on geostationary satellite (GeoHSS) have been investigated using an observing system simulation experiment (OSSE) approach. Hypothetical GeoHSS observations were simulated by using the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) and assimilated in global and regional data assimilation systems of the Japan Meteorological Agency (JMA). The global data assimilation experiments showed that assimilation of hourly clear-sky radiances of GeoHSS improved the prediction of large-scale atmospheric field and typhoon track. The assimilation of three hourly GeoHSS synthetic observations still demonstrated improvements although with smaller magnitude. Assimilation of temperature and humidity profiles in the reginal data assimilation system resulted in better prediction of moisture flow and then large-scale heavy rain. However, some experiments revealed that GeoHSS did not improve a localized convective rain system, suggesting the necessity of further development of data assimilation system and forecast model. We also developed a one-dimensional variational (1D-Var) scheme to derive temperature and humidity profiles from GeoHSS radiances. The profileswill be used for nowcasting and more realistic impact assessment in the regional data assimilation for GeoHSS.