Study on a unified signal processing algorithm for spaceborne precipitation radar
| Project/Area Number |
06640559
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Meteorology/Physical oceanography/Hydrology
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| Research Institution | KYOTO UNIVERSITY |
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Principal Investigator |
SATO Toru Kyoto University, Graduate School of Electronics and Communication, Associate Professor, 工学研究科, 助教授 (60162450)
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| Co-Investigator(Kenkyū-buntansha) |
KIMURA Iwane Kyoto University, Graduate School of Electronics and Communication, Professor, 工学研究科, 教授 (00025884)
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| Project Period (FY) |
1994 – 1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥1,900,000 (Direct Cost: ¥1,900,000)
Fiscal Year 1995: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1994: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | TRMM / spaceborne radar / dropsize distribution / radar signal processing / MU radar / remote sensing |
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| Research Abstract |
The MU radar of Japan is one of important candidates for providing accurate ground truth for the TRMM precipitation radar. It can provide the dropsize distribution data together with the background atmospheric wind data with high accuracy and high spatial resolution.
Special observation scheme developed for TRMM validation using the MU radar is described, and preliminary results from its test experiment are shown. The high-resolution MU radar data are also used in numerical simulations to validate the rain retrieval algorithm for the TRMM PR data anlysis. Among known sources of errors in the rain retrieval, the vertical variability of the dropsize distribution and the partial beam-filling effect are examined in terms of their significance with numerical simulations based on the MU radar data.
It is shown that these factors may seriously affect the accuracy of the TRMM rain retrieval, and that it is necessary to establish statistical means for compensation. However, suggested means to improve the conventional alpha-adjustment method require careful treatment so that they do not introduce new sources of errors.
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Report
(3 results)
Research Products
(15 results)
