Global Satellites Mapping of Precipitation Project in Japan (GSMaP) - Microwave and Infrared combined algorithm - K. Okamoto, T. Ushio, T. Iguchi, N. Takahashi…...../

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Presentation transcript:

Global Satellites Mapping of Precipitation Project in Japan (GSMaP) - Microwave and Infrared combined algorithm - K. Okamoto, T. Ushio, T. Iguchi, N. Takahashi…...../ Tomoo Ushio (Osaka Prefecture University)

Algorithm inputs Microwave Radiometers Infrared Radiometers TRMM/TMI from JAXA Aqua/AMSR-E from JAXA (not included yet) Infrared Radiometers Global Merged Geo-IR from TSDIS

What, When, Where, and How do we analyze for? Purpose: To draw the global precipitation map with 0.1 degree/1 hour resolution What: 1hour global IR data from Goddard/DAAC and TMI/2A12 data When: August 1 to 10, 2000 Where: -35 to 35 in latitude, 0 to 360 in longitude How: By interpolating precipitation between TMI overpasses using the cloud motion inferred from 1 hour IR Tb.

Algorithm outflow Infrared (IR) Data Microwave Radiometer (MWR) Data 10.8 μm Geo IR Present Split Window 11.4 μm Geo IR Present 1 hr Moving Vector 11.4 μm Geo IR 1 hour before Microwave Radiometer (MWR) Data Predicted GSMaP 1 hr MWR Present GSMaP Data GSMaP 1 hour before GSMaP Present

Typhoon JELAWAT 地域　：　太平洋北部ＴＲＭＭ観測数　：　１２

Correlation between radar and the GSMaP product as a function of the past microwave satellite overpass

Strength and weakness of underlying assumptions We mainly use the MWR data which is proved to be excellent for rainfall estimation. Fast processing time (About 3 min.) for the real time operations Weakness Physically simple. (We do not think any phase change or so.) Only TRMM/TMI is used. Not use the backward process, resulting in large error. Moving vector is not validated at all. Any validations have not yet being done at all.

Planned modifications/ Improvements Current to short term Introduce AMSR-E in addition to TRMM/TMI by the Aonashi algorithm Apply the Kalman filtering technique to adjust the interpolated precipitation rate between the microwave passes. Long term Apply the split window method by Inoue (1999) Introduce SSM/I (F13, 14, 15) Validation through the comparison with the radar-rain gauge network in Japan Cross comparison with another precipitation map Input to the global circulation model.

Algorithm output information Spatial resolution 0.1 degree Spatial coverage -35 to 35 in latitude (TMI only) -60 to 60 in latitude (TMI + AMSR-E) Update frequency 1 hour Date latency Our product is just made, and it is not operational now. Source of real time data/ Source of archive data Microwave Radiometers TRMM/TMI from JAXA Aqua/AMSR-E from JAXA Infrared Radiometers Global Merged Geo-IR from TSDIS Capability of producing retrospective data (data and resources required/ available) Currently we would go back to the 1998 (TRMM era)

Radar rain gauge analysis in Japan Current Status Beth gave us the IDL code to process. My student, Mr. Yasuhida Iida, read the code and made some small modification. He could successfully draw the map for intercomparison.