DOI: 10.1175/JCLI-D-15-0618.1
Scopus记录号: 2-s2.0-84995466925
论文题名: Comparison of global precipitation estimates across a range of temporal and spatial scales
作者: Gehne M. ; Hamill T.M. ; Kiladis G.N. ; Trenberth K.E.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 21 起始页码: 7773
结束页码: 7795
语种: 英语
Scopus关键词: Budget control
; Gages
; Precipitation (chemical)
; Rain
; Rain gages
; Random errors
; Signal to noise ratio
; Time measurement
; Climate variability
; Reanalysis
; Satellite observations
; Seasonal variability
; Water budget
; Precipitation (meteorology)
英文摘要: Characteristics of precipitation estimates for rate and amount from three global high-resolution precipitation products (HRPPs), four global climate data records (CDRs), and four reanalyses are compared. All datasets considered have at least daily temporal resolution. Estimates of global precipitation differ widely from one product to the next, with some differences likely due to differing goals in producing the estimates. HRPPs are intended to produce the best snapshot of the precipitation estimate locally. CDRs of precipitation emphasize homogeneity over instantaneous accuracy. Precipitation estimates from global reanalyses are dynamically consistent with the large-scale circulation but tend to compare poorly to rain gauge estimates since they are forecast by the reanalysis system and precipitation is not assimilated. Regional differences among the estimates in the means and variances are as large as the means and variances, respectively. Even with similar monthly totals, precipitation rates vary significantly among the estimates. Temporal correlations among datasets are large at annual and daily time scales, suggesting that compensating bias errors at annual and random errors at daily time scales dominate the differences. However, the signal-to-noise ratio at intermediate (monthly) time scales can be large enough to result in high correlations overall. It is shown that differences on annual time scales and continental regions are around 0.8 mm day-1, which corresponds to 23 W m-2. These wide variations in the estimates, even for global averages, highlight the need for better constrained precipitation products in the future. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50262
Appears in Collections: 气候变化事实与影响
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作者单位: Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States; Physical Sciences Division, NOAA/Earth System Research Laboratory, Boulder, CO, United States; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Gehne M.,Hamill T.M.,Kiladis G.N.,et al. Comparison of global precipitation estimates across a range of temporal and spatial scales[J]. Journal of Climate,2016-01-01,29(21)