Takumi Honda;
Takemasa Miyoshi;
Guo-Yuan Lien;
Seiya Nishizawa;
Ryuji Yoshida;
Sachiho A. Adachi;
Koji Terasaki;
Kozo Okamoto;
Hirofumi Tomita;
Kotaro Bessho
RIKEN
The 8th EnKF Data Assimilation Workshop
Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)
Talk:
Honda_EnKF2018.pptx
In July 2015, the Japan Meteorological Agency started full operations of the Japan’s new geostationary satellite “Himawari-8”, the first of a series of the third-generation geostationary meteorological satellites including the GOES-R Series. Himawari-8 can produce high-resolution observations with 16 frequency bands every 10 minutes for full disk. We assimilate all-sky every-10-minute infrared (IR) radiances from Himawari-8 by using a 3-km mesh regional numerical weather prediction model known as SCALE coupled with the Local Ensemble Transform Kalman Filter (LETKF) and investigate its impact on real-world tropical cyclone (TC) analyses and forecasts for the first time. Assimilating the every-10-minute Himawari-8 IR radiances improves the analyzed TC structure in both inner core and outer rainband regions. The results also show that TC intensity forecasts are improved due to Himawari-8 data probably because of the improved TC structure analysis. An additional sensitivity experiment is performed by degrading the observation frequency to be every 30 minutes, demonstrating clear advantage of the every-10-minute Himawari-8 IR radiances.
In July 2015, the Japan Meteorological Agency started full operations of the Japan’s new geostationary satellite “Himawari-8”, the first of a series of the third-generation geostationary meteorological satellites including the GOES-R Series. Himawari-8 can produce high-resolution observations with 16 frequency bands every 10 minutes for full disk. We assimilate all-sky every-10-minute infrared (IR) radiances from Himawari-8 by using a 3-km mesh regional numerical weather prediction model known as SCALE coupled with the Local Ensemble Transform Kalman Filter (LETKF) and investigate its impact on real-world tropical cyclone (TC) analyses and forecasts for the first time. Assimilating the every-10-minute Himawari-8 IR radiances improves the analyzed TC structure in both inner core and outer rainband regions. The results also show that TC intensity forecasts are improved due to Himawari-8 data probably because of the improved TC structure analysis. An additional sensitivity experiment is performed by degrading the observation frequency to be every 30 minutes, demonstrating clear advantage of the every-10-minute Himawari-8 IR radiances.
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