Adaptive Statistical Spatial Downscaling of Precipitation Supported by High-Resolution Atmospheric Simulation Data for Mountainous Areas of Nepal
文献类型：期刊论文
| 作者 | Yang, Hua2,4; Yang, Kun3,4; Qin, Jun1; Ding, Baohong4; Jiang, Yaozhi3; Chen, Yingying4; Zhou, Xu4; Wang, Yan5; Sharma, Shankar4 |
| 刊名 | JOURNAL OF METEOROLOGICAL RESEARCH
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 37期号:4页码:508-520 |
| 关键词 | precipitation statistical downscaling precipitation adjustment factor adaptive estimation high resolution dynamical downscaling |
| ISSN号 | 2095-6037 |
| DOI | 10.1007/s13351-023-3017-6 |
| 通讯作者 | Yang, Kun(yangk@tsinghua.edu.cn) |
| 英文摘要 | In complex terrain regions, it is very challenging to obtain high accuracy and resolution precipitation data that are required in land hydrological studies. In this study, an adaptive precipitation downscaling method is proposed based on the statistical downscaling model MicroMet. A key input parameter in the MicroMet is the precipitation adjustment factor (PAF) that shows the elevation dependence of precipitation. Its value is estimated conventionally based on station observations and suffers sparse stations in high altitudes. This study proposes to estimate the PAF value and its spatial variability with precipitation data from high-resolution atmospheric simulations and tests the idea in Nepal of South Himalayas, where rainfall stations are relatively dense. The result shows that MicroMet performs the best with the PAF value estimated from the simulation data at the scale of approximately 1.5 degrees. Not only the value at this scale is qualitatively consistent with early knowledge obtained from intensive observations, but also the downscaling performance with this value is better than or comparable to that with the PAF estimated from dense station data. Finally, it is shown that the PAF estimation, although critical, cannot replace the importance of increasing input station density for downscaling. |
| WOS关键词 | METEOROLOGICAL VARIABLES ; TIBETAN PLATEAU ; SATELLITE ; IMPACT ; REGION ; SOUTH |
| 资助项目 | The Department of Hydrology and Meteorology (DHM), Government of Nepal ( |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001062814900006 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | The Department of Hydrology and Meteorology (DHM), Government of Nepal ( |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197988]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Kun |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Hua,Yang, Kun,Qin, Jun,et al. Adaptive Statistical Spatial Downscaling of Precipitation Supported by High-Resolution Atmospheric Simulation Data for Mountainous Areas of Nepal[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2023,37(4):508-520. |
| APA | Yang, Hua.,Yang, Kun.,Qin, Jun.,Ding, Baohong.,Jiang, Yaozhi.,...&Sharma, Shankar.(2023).Adaptive Statistical Spatial Downscaling of Precipitation Supported by High-Resolution Atmospheric Simulation Data for Mountainous Areas of Nepal.JOURNAL OF METEOROLOGICAL RESEARCH,37(4),508-520. |
| MLA | Yang, Hua,et al."Adaptive Statistical Spatial Downscaling of Precipitation Supported by High-Resolution Atmospheric Simulation Data for Mountainous Areas of Nepal".JOURNAL OF METEOROLOGICAL RESEARCH 37.4(2023):508-520. |
入库方式： OAI收割
来源：地理科学与资源研究所
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