Spatio‐temporal characterization of Korean drought using severity–area–duration curve analysis

Abstract

In this study, the depth-area-duration (DAD) analysis for characterizing an extreme precipitation event provides a basis for analysing drought events when storm depth is replaced by an appropriate measure of drought severity. Monthly precipitation is probabilistically transformed into standardized precipitation index (SPI) and SPI time series are decomposed into a mutually independent data set by the empirical orthogonal function (EOF) analysis. All EOFs are spatially expanded to a 6 Â 6 km resolution by kriging, for which a commercial package, SuRFER TM , is used. Twenty main drought events from the grid-based SPI time series are identified to construct the drought severityeffective area-drought duration (SAD) curves. The shape of SAD curves is similar to that of the rainfall DAD curves in the sense that drought severity and effective area are out of phase and that drought severity and duration are also out of phase. However, the severity reduction rate in SAD curves is much smaller than the corresponding rate in DAD analysis.

Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective

“…Yevjevich (1967) proposed the one-dimensional truncation method to extract drought duration, severity, and intensity from drought index sequence. Statistical methods, such as wavelet analysis (Min et al, 2003), empirical orthogonal functions (Kim et al, 2011;Song et al, 2013), principal component analysis (PCA) and cluster analysis (Chen and Gocic and Trajkovic, 2014), Shannon entropy (She and Xia, 2012) have been widely employed to estimate the spatial pattern of drought. All these methods discard much of the spatio-temporal information by reducing drought events to a lower-order subspace (Lloyd-Hughes, 2012), thereby not enabling to capture the real drought structure in space-time dimensions.…”

Spatiotemporal evolution and the driving factors of meteorological drought in the Hun-Taizi River basin, NE China

“…One of the most commonly used meteorological drought indices is the standardized precipitation index (SPI), which has the advantage of statistical consistency and relies solely on precipitation (McKee et al 1993). The SPI, based on precipitation change, is commonly used in meteorological drought monitoring and evaluation and has been used in different regions (Kim et al 2011;Rauf & Zeephongsekul 2014;Mathbout et al 2018;Lin et al 2021).…”

An Approach to Tracking Meteorological Drought Migration

“…Andreadis et al (2005) used severity-area-duration curves to study spatial variations of large-scale drought events at given durations (often greater or equal to three months, not monthly evolution) throughout the United States. Similar studies were implemented in other areas (Kim et al, 2011;Sheffield et al, 2009;Zhai et al, 2016). Perez et al (2011) developed two methodologies, noncontiguous and contiguous drought area analyses, to capture spatiotemporal characteristics of large-scale drought events, which provided an important basis for spatial analysis of droughts (e.g., Mercado et al, 2016).…”