Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR030330 |
Improved Estimates of Pentad Precipitation through the Merging of Independent Precipitation Datasets | |
Randal D. Koster; Qing Liu; Rolf H. Reichle; George J. Huffman | |
2021-11-08 | |
发表期刊 | Water Resources Research
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出版年 | 2021 |
英文摘要 | Three independent, quasi-global, gridded datasets of precipitation (a rain gauge-based dataset, the satellite-only component of the NASA Integrated Multi-satellitE Retrievals for Global Precipitation Measurement mission [IMERG] Final Run precipitation product, and precipitation estimates derived from NASA Soil Moisture Active Passive [SMAP] soil moisture retrievals), are objectively combined into a single pentad precipitation dataset at 36-km resolution using a unique approach based on extended triple collocation. The quality of each of the four datasets is then evaluated against independent observations. When a global land surface model at 36-km resolution is integrated four times, once utilizing the merged precipitation forcing and once with each of the three contributing datasets, the near-surface soil moisture variations produced with the merged forcing validate best against independent satellite-based soil moisture fields. In addition, the merged dataset is found to be more consistent, relative to each contributor, with estimates of air temperature variations across the globe. The merged dataset thus appears to draw successfully on the complementary strengths of each contributor: the particularly high quality of the rain gauge-based dataset in areas of high gauge density, the more uniform accuracy across the globe of the IMERG data, and the moderate accuracy, particularly in semi-arid regions, of the soil moisture retrieval-based data. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/341061 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Randal D. Koster,Qing Liu,Rolf H. Reichle,et al. Improved Estimates of Pentad Precipitation through the Merging of Independent Precipitation Datasets[J]. Water Resources Research,2021. |
APA | Randal D. Koster,Qing Liu,Rolf H. Reichle,&George J. Huffman.(2021).Improved Estimates of Pentad Precipitation through the Merging of Independent Precipitation Datasets.Water Resources Research. |
MLA | Randal D. Koster,et al."Improved Estimates of Pentad Precipitation through the Merging of Independent Precipitation Datasets".Water Resources Research (2021). |
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