DOI: 10.1029/2018JD028584
Scopus记录号: 2-s2.0-85052800501
论文题名: Investigating the Potential of Using Satellite-Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products
作者: Khan S. ; Maggioni V. ; Kirstetter P.-E.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 16 起始页码: 8646
结束页码: 8660
语种: 英语
英文关键词: climatology
; DPR
; IMERG
; IR estimates
; MRMS
; satellite precipitation estimates
英文摘要: This work investigates the viability of using the Global Precipitation Mission (GPM) Dual-frequency Precipitation Radar (DPR) as a reference for evaluating multisatellite precipitation products in locations where a ground-based reference is not available. The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) version V05 products (early, late, and final) and the microwave-only (MW) and infrared-only (IR) components are evaluated against two reference data sets, derived from the Multi-Radar/Multi-Sensor System suite of products (MRMS) and the level-2 DPR (2ADPR). The analysis focuses on a 2-year period (2014–2015), excluding winters to evaluate liquid-phase precipitation only. Systematic and random errors are assessed between the satellite-based products and the MRMS-based reference. Systematic error for the IMERG early, late, and final products and the MW component are shown to be comparable to those of 2ADPR, while the IR component exhibits a larger bias. Random errors of the IR estimates are found to be 1 order of magnitude larger than the 2ADPR random error. Thus, the hypothesis of using 2ADPR as a benchmark for quantifying uncertainties associated with IMERG holds true for evaluating random errors associated with IR precipitation estimates. Errors in the IR component are then investigated as a function of climatology and seasonality across contiguous United States. The temperate, oceanic, and subtropical climates show the best performance in terms of probability of detection and success ratio, whereas arid-desert manifests the smallest root-mean-square errors. This work suggests that climatic zone-specific error characterization model is necessary to estimate uncertainties associated with the IMERG products. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113253
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, United States; Advanced Radar Research Center, University of Oklahoma, Norman, OK, United States; NOAA/National Severe Storms Laboratory, Norman, OK, United States; School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
Recommended Citation:
Khan S.,Maggioni V.,Kirstetter P.-E.. Investigating the Potential of Using Satellite-Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(16)