Compiling an Hourly Gridded Dataset for Surface Air Temperature at 50-M Resolution Using Radiative Cooling Scale and Numerical Weather Prediction Model Outputs

被引：0

作者：

Ueyama, Hideki ^{[1
]}

机构：

[1] Western Region Agricultural Research Center (Kinki, Chugoku and Shikoku Regions), National Agriculture and Food Research Organization (NARO), 2575 Ikano, Kagawa, Zentsuji, Japan

来源：

SSRN | 2023年

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D O I：

暂无

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摘要：

Atmospheric temperature - Cooling - Decision making - Deep neural networks - Errors - Forestry - Long short-term memory - Mean square error - Meteorology - Nearest neighbor search - Numerical methods - Numerical models - Support vector regression

引用

共 4 条

[1] Compiling an hourly gridded dataset for surface air temperature at 50-m resolution using radiative cooling scale and numerical weather prediction model outputs
Ueyama, Hideki
AGRICULTURAL AND FOREST METEOROLOGY, 2024, 350
[2] Radiative cooling scale method for correcting hourly surface air temperature error in numerical weather prediction models
Ueyama, Hideki
METEOROLOGICAL APPLICATIONS, 2023, 30 (01)
[3] Linking Fine-Scale Sub-Arctic Vegetation Distribution in Complex Topography with Surface-Air-Temperature Modelled at 50-m Resolution
Zhenlin Yang
Martin T. Sykes
Edward Hanna
Terry V. Callaghan
AMBIO, 2012, 41 : 292 - 302
[4] Linking Fine-Scale Sub-Arctic Vegetation Distribution in Complex Topography with Surface-Air-Temperature Modelled at 50-m Resolution
Yang, Zhenlin
Sykes, Martin T.
Hanna, Edward
Callaghan, Terry V.
AMBIO, 2012, 41 : 292 - 302

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