Paper
9 November 2012 The assimilation of satellite microwave observation in JMA's meso-scale model
Author Affiliations +
Abstract
Accurate Numerical Weather Prediction (NWP) is one of the essential information for natural disaster prevention. Japan Meteorological Agency (JMA) has been operating a Meso-scale model (MSM). The target of the MSM is to provide guidance for issuing warnings or making very short-range forecasts of precipitation to cover Japan and its surrounding areas. In order to produce accurate precipitation forecasts by MSM, realistic moisture fields as initial conditions are necessary. The initial fields are produced in analyses with a four dimensional variational data assimilation method. The initial fields are updated eight times per day to capture rapid change of mesoscale weather conditions. Because Japan is a country surrounded by ocean, moisture information over the ocean is a key for the accurate humidity analysis and the precipitation forecasting. Observations of microwave imagers in space contain the moisture information over the ocean. The microwave imager data are available in wide coverage under all weather conditions and play an important role in the analysis. Microwave brightness temperature in clear sky condition and retrieved precipitation in rainy condition from various microwave imagers are assimilated in the analysis. In this study, Global Change Observation Mission 1st Water (GCOM-W1) / Advanced Microwave Scanning Radiometer-2 (AMSR2) data were newly incorporated in the analysis. From the preliminary AMSR2 data assimilation experiment, improvements of the humidity analysis and the precipitation forecasting were found. The results suggest the use of multiple satellite data is necessary to produce realistic moisture fields as the initial condition for the operational NWP.
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Masahiro Kazumori "The assimilation of satellite microwave observation in JMA's meso-scale model", Proc. SPIE 8528, Earth Observing Missions and Sensors: Development, Implementation, and Characterization II, 85280U (9 November 2012); https://doi.org/10.1117/12.977304
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KEYWORDS
Microwave radiation

Satellites

Imaging systems

Data modeling

Meteorology

Humidity

Radar

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