DOI: 10.1016/j.gloplacha.2012.10.016
论文题名: Reduced complexity model for assessing patterns of rainfall erosivity in Africa
作者: Diodato N. ; Knight J. ; Bellocchi G.
刊名: Global and Planetary Change
ISSN: 0921-8371
出版年: 2013
卷: 100 起始页码: 183
结束页码: 193
语种: 英语
英文关键词: Africa
; Climate variability
; Downscaling
; Modeling
; Rainfall erosivity
Scopus关键词: Africa
; Climate variability
; Continental scale
; Decadal timescale
; Different scale
; Down-scaling
; Environmental planning
; Erosivity
; Geostatistical modeling
; Hydrological extremes
; Model development
; Parameterized
; Rainfall erosivity
; Reduced complexity
; Reduced complexity modeling
; Regional management
; Remote areas
; Revised universal soil loss equations
; Spatial patterns
; Spatial scale
; Time-periods
; Validation tools
; Climatology
; Models
; Rain
; Sediment transport
; Climate models
; climate modeling
; climate variation
; complexity
; downscaling
; erosivity
; multivariate analysis
; precipitation (climatology)
; rainfall
; Africa
英文摘要: Multivariate geostatistical modeling can be used to generate spatial patterns of hydro-climate data over ungauged regions, but these models may be unsuitable when the hydro-climatological data available over large and remote areas are sparse and show different scales of resolution. In these cases, reduced complexity modeling can be better used in order to increase understanding of hydrological extremes at spatial scales and over time periods not covered by rainfall records. In this study we present and evaluate the African Rainfall Erosivity Subregional Empirical Downscaling (ARESED) model which has been developed based on hydro-climatological and geotopographic data from 46 stations across Africa with very varied climates and elevations. We spatially downscale the 85th percentile of monthly precipitation, based on several decades of data, from 50. km to 10. km grid squares in order to predict values of rainfall erosivity across Africa. This yields inputs comparable to values based on the standard Revised Universal Soil Loss Equation (RUSLE). The 46 African stations were chosen for model development because they are also sites for which there are RUSLE-based erosivity values. Once parameterized to capture mean rainfall erosivity over several decades, the ARESED model was run as a validation tool, comparing the output with actual erosivity data. On a continental scale and over decadal time scales, the ARESED model captures most of the important processes within the hydro-climatological system. Its reduced complexity structure also makes it suitable for application to regional management and environmental planning. © 2012 Elsevier B.V.. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868685996&doi=10.1016%2fj.gloplacha.2012.10.016&partnerID=40&md5=81c382572532b5922ba1211bade410af
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11277
Appears in Collections: 全球变化的国际研究计划
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作者单位: Met European Research Observatory, HyMex (GEWEX), World Climate Research Programme, Benevento, Italy
Recommended Citation:
Diodato N.,Knight J.,Bellocchi G.. Reduced complexity model for assessing patterns of rainfall erosivity in Africa[J]. Global and Planetary Change,2013-01-01,100.