A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

Vicente‐Serrano, Sergio M.; Beguería, Santiago; López‐Moreno, Juan I.

doi:10.1175/2009jcli2909.1

Cited by 6,245 publications

(4,620 citation statements)

References 56 publications

Supporting

Mentioning

4,001

Contrasting

Unclassified

Order By: Relevance

“…The database for the area of interest included daily data on minimum and maximum temperature, precipitation and global radiation sums, as well as daily mean wind speed and water vapor pressure. Using AgriClim (Trnka et al, 2012) and SoilClim (Hlavinka et al, 2011) software packages, daily soil water contents in two layers (0-0.4 and 0.4-1.3 m below soil surface) were calculated, as well as values of the standard precipitation index (SPI) according to McKee et al (1993), the selfcalibrated Palmer drought severity index (PDSI) and the Palmer Z-index (ZIND) according to Palmer (1965), as well as the standardized precipitation evapotranspiration index (SPEI) according to Vicente-Serrano et al (2010).…”

Section: Methodsmentioning

confidence: 99%

Exploring Growth Variability and Crown Vitality of Sessile Oak (Quercus Petraea) in the Czech Republic

et al. 2015

View full text Add to dashboard Cite

Unraveling climatic effects on growth of oak -Europe's most ecologically and economically important forest species -has been the subject of many recent studies; however, more insight based on field data is necessary to better understand the relationship between climate and tree growth and to adapt forest management strategies to future climate change. In this report, we explore the influence of temperature, precipitation and drought variability on the productivity and vitality of oak stands in the Czech Highlands. We collected 180 cores from mature oaks (Quercus petraea) at four forest stands in the Czech Drahany Highlands. Standard dendro-methods were used for sample preparation, ring width measurements, cross-dating, chronology development, and the assessment of growth-climate response patterns. Crown vitality was also evaluated, using the modified ICP Forests methodology. Late spring precipitation totals between May and June as well as the mean July temperature for the year of ring formation were found to be the most important factors for oak growth, whereas crown condition was significantly affected by spring and summer drought. This study is representative for similar bio-ecological habitats across Central Europe and can serve as a dendroclimatological blueprint for earlier periods for which detailed meteorological information is missing.

show abstract

Section: Methodsmentioning

confidence: 99%

Exploring Growth Variability and Crown Vitality of Sessile Oak (Quercus Petraea) in the Czech Republic

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Recently, a new multivariable standardized precipitation evapotranspiration index (SPEI) has been proposed to quantify drought severity [Vicente-Serrano et al, 2010]. SPEI is able to incorporate the effect of hydrological balance between precipitation and potential evapotranspiration, the latter being sensitive to air temperature.…”

Section: Introductionmentioning

confidence: 99%

Six month–lead downscaling prediction of winter to spring drought in South Korea based on a multimodel ensemble

Sohn

Ahn

Tam

2013

Geophysical Research Letters

View full text Add to dashboard Cite

[1] The potential of using a dynamical-statistical method for long-lead drought prediction was investigated. In particular, the APEC Climate Center one-tier multimodel ensemble (MME) was downscaled for predicting the standardized precipitation evapotranspiration index (SPEI) over 60 stations in South Korea. SPEI depends on both precipitation and temperature, and can incorporate the effect of global warming on the balance between precipitation and evapotranspiration. It was found that the one-tier MME has difficulty in capturing the local temperature and rainfall variations over extratropical land areas, and has no skill in predicting SPEI during boreal winter and spring. On the other hand, temperature and precipitation predictions were substantially improved in the downscaled MME. In conjunction with variance inflation, downscaled MME can give reasonably skillful 6 month-lead forecasts of SPEI for the winter to spring period. Our results could lead to more reliable hydrological extreme predictions for policymakers and stakeholders in the water management sector, and for better mitigation and climate adaptations. Citation: Sohn, S.-J., J.-B.Ahn, and C.-Y. Tam (2013), Six month-lead downscaling prediction of winter to spring drought in South Korea based on a multimodel ensemble, Geophys. Res. Lett., 40,[579][580][581][582][583]

show abstract

“…Recently, Farahmand and AghaKouchak (2015) suggested non-parametric normalization procedure for the SPI, which avoids this conceptual drawback. Another caveat of the SPI is that it is based only on precipitation and thus ignores other processes like evaporation, temperature, run-off or soilwater content, which are known to affect the water balance but are difficult to measure (Vicente-Serrano et al, 2010). Therefore, Vicente-Serrano et al (2010) developed the Standardized Precipitation Evapotranspiration Index (SPEI) taking temperature effects in the SPI into account by introducing potential evapotranspiration (Thornthwaite, 1948;Penman, 1948).…”

Section: R a I B L E E T A Lmentioning

confidence: 99%

Drought indices revisited – improving and testing of drought indices in a simulation of the last two millennia for Europe

Raible¹,

Bärenbold²,

Gómez-Navarro

2017

Tellus A: Dynamic Meteorology and Oceanography

View full text Add to dashboard Cite

Over the past decades, different drought indices have been suggested in the literature. This study tackles the problem of how to characterize droughts by defining a framework and proposing a generalized family of drought indices that is flexible regarding the use of different hydrological fluxes in the water balance. The sensitivity of various indices and its skill to represent drought conditions is evaluated using a regional model simulation for Europe spanning the last two millennia as test bed. The framework combines an exponentially damped memory with a normalization method based on quantile mapping. Both approaches are more robust and physically meaningful compared to the existing methods used to define drought indices. Still, the framework is flexible with respect to hydrological fluxes used for the water balance, enabling users to adapt the index formulation to the data availability of different locations. Based on it, indices using different hydrological fluxes in the water balance are compared with each other showing that a drought index considering only precipitation in the water balance is sufficient for western to central Europe. In the Mediterranean, temperature effects via evapotranspiration rather than potential evapotranspiration, need to be considered to produce meaningful indices representative of water deficit. In addition, our results indicate that in north-eastern Europe and Scandinavia, snow and run-off effects need to be considered simultaneously in the index definition to obtain accurate results.

show abstract

A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

Cited by 6,245 publications

References 56 publications

Exploring Growth Variability and Crown Vitality of Sessile Oak (Quercus Petraea) in the Czech Republic

Exploring Growth Variability and Crown Vitality of Sessile Oak (Quercus Petraea) in the Czech Republic

Six month–lead downscaling prediction of winter to spring drought in South Korea based on a multimodel ensemble

Drought indices revisited – improving and testing of drought indices in a simulation of the last two millennia for Europe

Contact Info

Product

Resources

About