Application of Relative Drought Indices in Assessing Climate-Change Impacts on Drought Conditions in Czechia

Authors

M. Dubrovsky, Institute of Atmospheric Physics, Academy of Sciences CR, Bocni II/1401, 14131 Prague, Czechia
Mark D. Svoboda, University of Nebraska - LincolnFollow
M. Trnka, Institute for Agrosystems and Bioclimatology, Mendel University of Agriculture and Forestry, Zemedelska 1, 61300 Brno, Czechia
Michael J. Hayes, University of Nebraska-LincolnFollow
Donald A. Wilhite, University of Nebraska - LincolnFollow
Z. Zalud, Institute for Agrosystems and Bioclimatology, Mendel University of Agriculture and Forestry, Zemedelska 1, 61300 Brno, Czechia
P. Hlavinka, Institute for Agrosystems and Bioclimatology, Mendel University of Agriculture and Forestry, Zemedelska 1, 61300 Brno, Czechia

Date of this Version

2006

Citation

Published in Theoretical and Applied Climatology 96 (2009), pp. 155–171

Comments

Copyright © 2008 Springer-Verlag. Used by permission.

Abstract

The common versions (referred to as self-calibrated here) of the Standardized Precipitation Index (SPI) and the Palmer Drought Severity Index (PDSI) are calibrated and then applied to the same weather series. Therefore, the distribution of the index values is about the same for any weather series. We introduce here the relative SPI and PDSI, abbreviated as rSPI and rPDSI. These are calibrated using a reference weather series as a first step, which is then applied to the tested series. The reference series may result from either a different station to allow for the interstation comparison or from a different period to allow for climate-change impact assessments. The PDSI and 1–24 month aggregations of the SPI are used here. In the first part, the relationships between the self-calibrated and relative indices are studied. The relative drought indices are then used to assess drought conditions for 45 Czech stations under present (1961–2000) and future (2060–2099) climates. In the present climate experiment, the drought indices are calibrated by using the reference station weather series. Of all drought indices, the PDSI exhibits the widest spectrum of drought conditions across Czechia, in part because it depends not only on precipitation (as does the SPI) but also on temperature. In our climate-change impact experiments, the future climate is represented by modifying the observed series according to scenarios based on five Global Climate Models (GCMs). Changes in the SPI-based drought risk closely follow the modeled changes in precipitation, which is predicted to decrease in summer and increase in both winter and spring. Changes in the PDSI indicate an increased drought risk at all stations under all climate-change scenarios, which relates to temperature increases predicted by all of the GCMs throughout the whole year. As drought depends on both precipitation and temperature, we conclude that the PDSI is more appropriate (when compared to the SPI) for use in assessing the potential impact of climate change on future droughts.