globalchange  > 气候减缓与适应
DOI: 10.1029/2017JD027559
Scopus记录号: 2-s2.0-85047652650
论文题名:
Investigating Satellite Precipitation Uncertainty Over Complex Terrain
作者: Bartsotas N.S.; Anagnostou E.N.; Nikolopoulos E.I.; Kallos G.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:10
起始页码: 5346
结束页码: 5359
语种: 英语
英文关键词: complex terrain ; heavy precipitation events ; NWP ; precipitation ; satellite ; uncertainty
英文摘要: The estimation of heavy precipitation events is a particularly difficult task, especially over high mountainous terrain typically associated with scant availability of in situ observations. Therefore, quantification of precipitation variability in such data-limited regions relies on remote sensing estimates, due to their global coverage and near real-time availability. However, strong underestimation of precipitation associated with low-level orographic enhancement often limits the quantitative use of these data in applications. This study utilizes state-of-the-art numerical weather prediction simulations, toward the reduction of quantitative errors in satellite precipitation estimates and an insight on the nature of detection limitations. Satellite precipitation products based on different retrieval algorithms (Climate Prediction Center morphing method, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Cloud Classification System, and Global Satellite Mapping of Precipitation) are evaluated for their performance in a number of storm events over mountainous areas with distinct storm characteristics: Upper Blue Nile in Ethiopia and Alto Adige in NE Italy. High-resolution (1 and 2 km) simulations from the Regional Atmospheric Modeling System/Integrated Community Limited Area Modeling System are used to derive adjustments to the magnitude of satellite estimates. Finally, a microphysical investigation is presented for occurrences of erroneous precipitation detection from the satellite instruments. Statistical indexes showcase improvement in numerical weather prediction-adjusted satellite products and microphysical commodities among cases of no detection are discussed. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113873
Appears in Collections:气候减缓与适应

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作者单位: Faculty of Physics, National and Kapodistrian University of Athens, Athens, Greece; Innovative Technologies Center SA, Athens, Greece; Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States

Recommended Citation:
Bartsotas N.S.,Anagnostou E.N.,Nikolopoulos E.I.,et al. Investigating Satellite Precipitation Uncertainty Over Complex Terrain[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(10)
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