DOI: 10.1016/j.atmosres.2018.05.011
Scopus记录号: 2-s2.0-85047983370
论文题名: Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America
作者: Baez-Villanueva O.M. ; Zambrano-Bigiarini M. ; Ribbe L. ; Nauditt A. ; Giraldo-Osorio J.D. ; Thinh N.X.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 213 起始页码: 34
结束页码: 50
语种: 英语
英文关键词: CHIRPSv2
; MSWEPv2
; Precipitation
; Satellite
; Upscaling influence
; Validation of SREs
Scopus关键词: Clock and data recovery circuits (CDR circuits)
; Developing countries
; Efficiency
; Mean square error
; Pixels
; Precipitation (chemical)
; Rain
; Satellites
; Time measurement
; Watersheds
; CHIRPSv2
; MSWEPv2
; Precipitation patterns
; Probability of detection
; Root mean squared errors
; Spatiotemporal variability
; Upscaling
; Validation of SREs
; Rain gages
英文摘要: In developing countries, an accurate representation of the spatio-temporal variability of rainfall is currently severely limited, therefore, satellite-based rainfall estimates (SREs) are promising alternatives. In this work, six state-of-the-art SREs (TRMM 3B42v7, TRMM 3B42RT, CHIRPSv2, CMORPHv1, PERSIANN-CDR, and MSWEPv2) are evaluated over three different basins in Latin-America, using a point-to-pixel comparison at daily, monthly, and seasonal timescales. Three continuous (root mean squared error, modified Kling-Gupta efficiency, and percent bias) and three categorical (probability of detection, false alarm ratio, and frequency bias) indices are used to evaluate the performance of the different SREs, and to assess if the upscaling procedure used, in CHIRPSv2 and MSWEPv2, to enable a consistent point-to-pixel comparison affects the evaluation of the SREs performance at different time scales. Our results show that for Paraiba do Sul in Brazil, MSWEPv2 presented the best performance at daily and monthly time scales, while CHIRPSv2 performed the best at these timescales over the Magdalena River Basin in Colombia. In the Imperial River Basin in Chile, MSWEPv2 and CHIRPSv2 performed the best at daily and monthly time scales, respectively. When the basins were evaluated at seasonal scale, CMORPHv1 performed the best for DJF and SON, TRMM 3B42v7 for MAM, and PERSIANN-CDR for JJA over Imperial Basin. MSWEPv2 performed the best over Paraiba do Sul Basin for all seasons and CHIRPSv2 showed the best performance over Magdalena Basin. The Modified Kling-Gupta efficiency (KGE′) proved to be a useful evaluation index because it decomposes the performance of the SREs into linear correlation, bias, and variability parameters, while the Root Mean Squared Error (RMSE) is not recommended for evaluating SREs performance because it gives more weight to high rainfall events and its results are not comparable between areas with different precipitation regimes. On the other hand, CHIRPSv2 and MSWEPv2 presented different performance, for some study areas and time scales, when evaluated with their original spatial resolution (0.05° and 0.1, respectively) with respect to the evaluation resulting after applying the spatial upscaling (to a unified 0.25), showing that the upscaling procedure might impact the SRE performance. We finally conclude that a site-specific validation is needed before using any SRE, and we recommend to evaluate the SRE performance before and after applying any upscaling procedure in order to select the SRE that best represents the spatio-temporal precipitation patterns of a site. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108799
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Technology Arts Sciences TH Köln, Cologne, Germany; Department of Civil Engineering, Universidad de la Frontera, Temuco, Chile; Center for Climate and Resilience Research, Universidad de Chile, Santiago, Chile; Pontificia Universidad Javeriana, Bogotá, Colombia; Faculty of Spatial Planning, TU Dortmund University, Dortmund, Germany
Recommended Citation:
Baez-Villanueva O.M.,Zambrano-Bigiarini M.,Ribbe L.,et al. Temporal and spatial evaluation of satellite rainfall estimates over different regions in Latin-America[J]. Atmospheric Research,2018-01-01,213