2.2 Assimilation of Himawari-8 Atmospheric Motion Vectors into the Numerical Weather Prediction Systems of Japan Meteorological Agency

Wednesday, 25 January 2017: 10:45 AM
Conference Center: Yakima 2 (Washington State Convention Center )
Koji Yamashita, JMA, Tokyo, Japan

Handout (1.7 MB)

The Meteorological Satellite Center of Japan Meteorological Agency (JMA) has been producing operational Himawari-8 Atmospheric Motion Vectors (AMVs) since July 7th, 2015. The AMVs are produced using three sequential satellite images with time interval of 10 minutes, while MTSAT-2 AMVs are using 30~60 minutes interval images.

Himawari-8 AMVs with the revised pre-processing system have introduced in the JMA’s operational global and regional Numerical Weather Prediction (NWP) Systems as replacement of MTSAT-2 AMVs since 17 March 2016.
For the effective use of Himawari-8 AMVs, the pre-processing system for AMVs was updated mainly in the following three points:
Firstly, the quality indicator (QI, Holmlund 1998) thresholds for rejecting low quality AMVs were revised considering the characteristics of Himawari-8 AMVs. Secondly, the climatological check was revised to use more AMVs in the middle troposphere. Thirdly, a super-observation technique was introduced over Japan for the JMA’s operational global NWP system.
To investigate the impact of Himawari-8 AMVs with the revised pre-processing system comparing with the impact of MTSAT-2 AMVs, observing system experiments (OSEs) using the JMA’s operational NWP systems were performed in approximately two months of summer and a month of winter 2015.

The OSEs using the global NWP system revealed that wind forecast errors over the Himawari-8 observation area, especially around Japan, were reduced and mean positional errors for ten typhoons in summer were also reduced from 24-hour to 48-hour and from 90-hour to 120-hour forecast lead time. The reduction rate was about 6 % from 24-hour to 48-hour forecast lead time. The OSEs using the JMA’s regional NWP systems brought the improvement of rain forecasts as well.
I will give a presentation and discuss about these details at the Fifth Symposium on the Joint Center for Satellite Data Assimilation in 97th AMS Annual Meeting.

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