DOI: 10.1175/JCLI-D-13-00194.1
Scopus记录号: 2-s2.0-84892508580
论文题名: Evaluation of satellite-retrieved extreme precipitation over Europe using gauge observations
作者: Lockhoff M. ; Zolina O. ; Simmer C. ; Schulz J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 2 起始页码: 607
结束页码: 623
语种: 英语
Scopus关键词: Global precipitation climatology projects
; Precipitation characteristics
; Precipitation extremes
; Precipitation variability
; Satellite observations
; Spatial and temporal variability
; Temporal and spatial pattern
; Temporal displacement
; Climate change
; Satellites
; Precipitation (meteorology)
; climate change
; extreme event
; fuzzy mathematics
; observational method
; performance assessment
; precipitation intensity
; raingauge
; reliability analysis
; satellite data
; spring (season)
; winter
; Europe
英文摘要: Climate change is expected to change precipitation characteristics and particularly the frequency and magnitude of precipitation extremes. Satellite observations form an important part of the observing system necessary to monitor both temporal and spatial patterns of precipitation variability and extremes. As satellitebased precipitation estimates are generally only indirect, however, their reliability has to be verified. This study evaluates the ability of the satellite-based Global Precipitation Climatology Project One-Degree Daily (GPCP1DD) dataset to reliably reproduce precipitation variability and extremes over Europe compared to the European Daily High-resolution Observational Gridded Dataset (E-OBS). The results show that the two datasets agree reasonably well not only when looking at climatological statistics such as climatological mean, number of wet days (rain rates≥1 mm), and mean intensity (i.e., mean over all wet days) but also with respect to their distributions. The results also reveal a pronounced seasonal cycle in the performance of GPCP1DD that is worse in winter and spring. Both deterministic and fuzzy verification methods are used to assess the ability of the GPCP1DDdataset to capture extremes. Fuzzymethods prove to be the better suited evaluation approach for such a highly variable parameter as precipitation because it compensates for slight spatial and temporal displacements. Whereas the deterministic diagnostics confirm previous findings on the deficiencies of satellite products, the "fuzzy" results show that at larger spatiotemporal scales (e.g., 3°/5 days) GPCP1DD has useful skill and is able to reliably represent the spatial and temporal variability of extremes. © 2014 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51369
Appears in Collections: 气候变化事实与影响
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作者单位: Deutscher Wetterdienst, Offenbach, Germany; Le Laboratoire de Glaciologie et Géophysique de l'Environnement, Grenoble, France; P. P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russian Federation; Institute for Meteorology, University of Bonn, Bonn, Germany; European Organisation for the Exploitation of Meteorological Satellites, Darmstadt, Germany
Recommended Citation:
Lockhoff M.,Zolina O.,Simmer C.,et al. Evaluation of satellite-retrieved extreme precipitation over Europe using gauge observations[J]. Journal of Climate,2014-01-01,27(2)