THE DROUGHT MONITOR

By Mark Svoboda, D. LeComte, Michael J. Hayes, Richard R. Heim, K. Gleason, J. Angel, B. Rippey, R. Tinker, Mike Palecki, D. Stooksbury and 2 more. 2002

1,563 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ae104cc29ad68ae5ae35489e8f2d9d0987357d9f

How researchers see this paper

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In Ecology, Evolution, Behavior and Systematics

1. Amir Aghakouchak
2. Xuan Zhang
3. Vijay P. Singh
4. Zenchao Hao
5. Fanghua Hao

In Global and Planetary Change

1. Amir Aghakouchak
2. Zenchao Hao
3. Mojtaba Sadegh
4. Vijay P. Singh
5. E. Ragno
6. Xuan Zhang
7. Fanghua Hao
8. Shenglian Guo

Citations in the corpus

• Review and classification of indicators of green water availability and scarcity (2015, neutral): “Examples of such indicators are the U.S. Drought Monitor (Svoboda et al., 2002) and the Vegetation Drought Response Index (Brown et al., 2008).”
• Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor (2018, neutral): “Each intensity class is associated with its probability of occurrence, expressed as a percentile, on the basis of a 1932–2001 data record of drought indicators (Svoboda et al. 2002; Houborg et al. 2012).”
• Changes in the severity of compound drought and hot extremes over global land areas (2018, positive): “…thresholds −0.5, −0.8, −1.3,−1.6 and−2.0 have been used to define severity levels of drought (i.e. abnormally dry, moderate drought, severe drought, extreme drought, and exceptional drought) in the US Drought Monitor (USDM) based on the individual drought indicator (e.g. SPI) (Svoboda et al 2002).”
• Application of copulas for derivation of drought severity–duration–frequency curves (2012, neutral): “9), and exceptional drought ( 2 or less) conditions (Svoboda et al., 2002).”
• Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework (2017, positive): “One of the most commonly used indices to characterize drought is the Standardized Precipitation Index (SPI) [ McKee et al ., 1993; Hayes et al ., 2011; Mo , 2011; Shukla and Wood , 2008; Svoboda et al ., 2002].”
• Using the evaporative stress index to monitor flash drought in Australia (2019, neutral): “This usage is consistent with what was originally intended when the termwas coined by Svoboda et al (2002), who aimed to draw attention to the unusually rapid intensification of some droughts.”
• The German drought monitor (2015, neutral): “On the continental scale, drought monitoring or forecasting systems exist for North America (Lawrimore et al 2002), Europe (Horion et al 2012), and Africa (Sheffield et al 2014).”
• A generalized framework for deriving nonparametric standardized drought indicators (2015, neutral): “[51].”