Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021GL094697 |
Quantitative Precipitation Estimation of Extremes in CONUS with Radar Data | |
Edward M. Molter; William D. Collins; Mark D. Risser | |
2021-08-06 | |
发表期刊 | Geophysical Research Letters
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出版年 | 2021 |
英文摘要 | Constructing an accurate, continental, in-situ-based, kilometer-scale, long-term record of the precipitation field and its spatiotemporal changes remains a significant challenge. Here we determine the extreme-value behavior of the NEXRAD Stage IV radar-based quantitative precipitation estimate (QPE). We find that the climatology of 5-year daily return values in CONUS East of the Rocky Mountains shows only slight variability on spatial scales smaller than |
领域 | 气候变化 |
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/335462 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Edward M. Molter,William D. Collins,Mark D. Risser. Quantitative Precipitation Estimation of Extremes in CONUS with Radar Data[J]. Geophysical Research Letters,2021. |
APA | Edward M. Molter,William D. Collins,&Mark D. Risser.(2021).Quantitative Precipitation Estimation of Extremes in CONUS with Radar Data.Geophysical Research Letters. |
MLA | Edward M. Molter,et al."Quantitative Precipitation Estimation of Extremes in CONUS with Radar Data".Geophysical Research Letters (2021). |
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