Development of an estimation method of surface air temperature using the Meso-Scale Model and AMeDAS
Project/Area Number |
19780192
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Agricultural environmental engineering
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Research Institution | National Agricultural Research Organization |
Principal Investigator |
UEYAMA Hideki National Agricultural Research Organization, 近畿中国四国農業研究センター企画管理部業務推進室企画チーム, チーム長 (50370630)
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Project Period (FY) |
2007 – 2009
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Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,300,000)
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Keywords | 農業生産環境 / 地上気温推定 / 地上気温 |
Research Abstract |
It was developed a new method combined AMeDAS observation data with Meso-Scale Model (MSM) outputs for estimating difference in air temperature between AMeDAS point and estimation points. In my method it was applied the method of Ueyama, difference in air temperature is partitioned the difference between the estimation sites and the AMeDAS point : the influence of the radiative cooling intensity at the estimation site (T_<ESC>) and the influence of the radiative cooling intensity at the permanent observation site (T_<SSC>), and these components are modeled as a linear equation using a newly defined scale of radiative cooling intensity, the "radiative cooling scale (RCS)". In this study RCS values were computed using MSM outputs ; Grid Point Value (GPV), 5km grid upper air data computed using MSM and estimation models both of T_<SSC> and T_<ESC> were developed.
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Report
(4 results)
Research Products
(2 results)