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

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TLDR
In this article, a new climatic drought index, the standardized precipitation evapotranspiration index (SPEI), is proposed, which combines multiscalar character with the capacity to include the effects of temperature variability on drought assessment.
Abstract
The authors propose a new climatic drought index: the standardized precipitation evapotranspiration index (SPEI). The SPEI is based on precipitation and temperature data, and it has the advantage of combining multiscalar character with the capacity to include the effects of temperature variability on drought assessment. The procedure to calculate the index is detailed and involves a climatic water balance, the accumulation of deficit/surplus at different time scales, and adjustment to a log-logistic probability distribution. Mathematically, the SPEI is similar to the standardized precipitation index (SPI), but it includes the role of temperature. Because the SPEI is based on a water balance, it can be compared to the self-calibrated Palmer drought severity index (sc-PDSI). Time series of the three indices were compared for a set of observatories with different climate characteristics, located in different parts of the world. Under global warming conditions, only the sc-PDSI and SPEI identified an...

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Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India

TL;DR: In this paper, the authors estimate the likelihood of vegetation droughts across India in changing scenarios of temperature, precipitation and soil moisture content, and study the resilience of vegetation cover to disturbances induced by a dry condition.
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Inter- and intra-specific variation in drought sensitivity in Abies spec . and its relation to wood density and growth traits.

TL;DR: Wood properties and drought response measures showed significant variation among Abies species as well as among A. alba provenances, suggesting that wood density is a poor predictor of drought sensitivity in Abies spec.
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Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China

TL;DR: In this paper, the forecasting abilities of the autoregressive integrated moving average (ARIMA) in statistics, the wavelet neural network (WNN) and the support vector machine (SVM) in machine learning for drought forecasting in the Sanjiang Plain, China were explored and compared.
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Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China

TL;DR: Wang et al. as mentioned in this paper explored the interplay between multiple droughts among different climate zones and seasons in China and found that the propagation from agricultural to hydrological drought was weaker than that from meteorological to agricultural drought.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Book

Crop evapotranspiration : guidelines for computing crop water requirements

TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.

The relationship of drought frequency and duration to time scales

TL;DR: The definition of drought has continually been a stumbling block for drought monitoring and analysis as mentioned in this paper, mainly related to the time period over which deficits accumulate and to the connection of the deficit in precipitation to deficits in usable water sources and the impacts that ensue.