Knowledge Resource Center for Ecological Environment in Arid Area
| 项目编号 | 41471292 |
| 基于区域气候模式的多源遥感降水产品同化研究 | |
| 潘小多 | |
| 主持机构 | 中国科学院寒区旱区环境与工程研究所 |
| 开始日期 | 2015 |
| 结束日期 | 2018 |
| 资助经费 | 800000(CNY) |
| 项目类别 | 面上项目 |
| 资助机构 | CN-NSFC（国家自然科学基金） |
| 语种 | 中文 |
| 国家 | 中国 |
| 英文简介 | Long term precipitation with high spatio-temporal and precision can improve our understanding on the regional hydrology, thereby increasing the ability of land surface hydrologica precesses and the state of the simulation. Traditional ground-based observations, remote sensing, and regional climate modeling, however, difficult to provide high spatio-temporal precipitation data. So in this project, 4D-Var is proposed to be used to assimilate rainfall rate remote sensing data (the merging data of FY series, TRMM and GPM) and snow depth remote sensing data (the merging data of MODIS and AMSR-E) into Climate extension Weather Research & Forecasting Model (CWRF) to yield high spatial-temporal resolution and accurate precipitation data. To realize the following objectives: ( 1) construction of a regional climate model precipitation remote sensing data assimilation system framework ; ( 2 ) the full and effective integration of active and passive microwave remote sensing of rainfall and snowfall products to improve regional climate model precipitation simulation accuracy ; ( 3 ) the establishment of precipitation product evaluation system; and ( 4 ) the high spatial and temporal resolution of future climate scenarios , especially in building the future of precipitation elements . |
| 来源机构 | 中国科学院西北生态环境资源研究院 |
| 资源类型 | 项目 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/345725 |
| 推荐引用方式 GB/T 7714 | 潘小多.基于区域气候模式的多源遥感降水产品同化研究.2015. |
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