A scPDSI‐based global data set of dry and wet spells for 1901–2009

G. van der Schrier; J. Barichivich; K. R. Briffa; P. D. Jones

doi:10.1002/jgrd.50355

journal article May 22, 2013

A scPDSI‐based global data set of dry and wet spells for 1901–2009

G. van der Schrier J. Barichivich K. R. Briffa P. D. Jones

Journal of Geophysical Research: Atmospheres Vol. 118 No. 10 pp. 4025-4048 · American Geophysical Union (AGU)

View at Publisher Save 10.1002/jgrd.50355

Abstract

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.

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Details

Published: May 22, 2013
Vol/Issue: 118(10)
Pages: 4025-4048
License: View

Authors

G

G. van der Schrier

Royal Netherlands Meteorological Institute (KNMI) De Bilt Netherlands

J

J. Barichivich

Climatic Research Unit School of Environmental Sciences, University of East Anglia Norwich UK

K

K. R. Briffa

Climatic Research Unit School of Environmental Sciences, University of East Anglia Norwich UK

P

P. D. Jones

Climatic Research Unit School of Environmental Sciences, University of East Anglia Norwich UK; Center of Excellence for Climate Change Research / Dept of Meteorology King Abdulaziz University Jeddah Saudi Arabia

Cite This Article

G. van der Schrier, J. Barichivich, K. R. Briffa, et al. (2013). A scPDSI‐based global data set of dry and wet spells for 1901–2009. Journal of Geophysical Research: Atmospheres, 118(10), 4025-4048. https://doi.org/10.1002/jgrd.50355

A scPDSI‐based global data set of dry and wet spells for 1901–2009

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