DOI: 10.1002/jgrd.50355
论文题名: A scPDSI-based global data set of dry and wet spells for 1901-2009
作者: Van Der Schrier G. ; Barichivich J. ; Briffa K.R. ; Jones P.D.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 10 起始页码: 4025
结束页码: 4048
语种: 英语
英文关键词: drought
; global coverage
; self-calibrating PDSI
; snow model
; soil moisture
Scopus关键词: Drought
; Evapotranspiration
; Soil moisture
; Water supply
; Global coverage
; Increasing temperatures
; Palmer drought severity indices
; Potential evapotranspiration
; Self-calibrating
; Self-calibrating Palmer drought severity indices
; Snow models
; Water balance models
; Drying
; data set
; drought
; drought stress
; parameterization
; potential evapotranspiration
; snowpack
; soil moisture
; temperature effect
; vegetation cover
; water budget
英文摘要: Global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) have been calculated for the period 1901-2009 based on the CRU TS 3.10.01 data sets. This work addresses some concerns with regard to monitoring of global drought conditions using the traditional Palmer Drought Severity Index. First, the scPDSI has a similar range of variability in diverse climates making it a more suitable metric for comparing the relative availability of moisture in different regions. Second, the more physically based Penman-Monteith parameterization for potential evapotranspiration is used, calculated using the actual vegetation cover rather than a reference crop. Third, seasonal snowpack dynamics are considered in the water balance model. The leading mode of variability in the new data set represents a trend towards drying conditions in some parts of the globe between 1950 and 1985 but accounts for less than 9% of the total variability. Increasing temperature and potential evapotranspiration explain part of the drying trend. However, local trends in most of the drying regions are not significant. Previously published evidence of unusually strong or widespread drying is not supported by the evidence in this work. A fundamental aspect of the calculation of scPDSI is the selection of a calibration period. When this period does not include the most recent part of the record, trends towards more extreme conditions are amplified. It is shown that this is the principal reason for different published interpretations of the scale of recent global drying and not, as recently claimed, the use of simplified forcing data. Key PointsEvidence for strong or widespread drying is not supported by this workA new global dataset quantifying global drought and wet spells is releasedEvapotranspiration and snowpack dynamics are treated realistically ©2013. American Geophysical Union. All Rights Reserved. 资助项目: NE/G018863/1
; NER/T/S/2002/00440
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63711
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Royal Netherlands Meteorological Institute (KNMI), 3730 AE De Bilt, Netherlands; Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom; Center of Excellence for Climate Change Research, Dept of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia
Recommended Citation:
Van Der Schrier G.,Barichivich J.,Briffa K.R.,et al. A scPDSI-based global data set of dry and wet spells for 1901-2009[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)