A generalized framework for deriving nonparametric standardized drought indicators

By Alireza Farahmand, Amir Aghakouchak. 2015

409 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/216502d30bb8f2c30ec9c2d2ba33e1e65d60b94d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology, Evolution, Behavior and Systematics

1. O. Mazdiyasni
2. Ali Mehran
3. Amir Aghakouchak
4. İ. Can
5. F. Tosunoğlu

In Global and Planetary Change

1. O. Mazdiyasni
2. Ali Mehran
3. Amir Aghakouchak
4. İ. Can
5. F. Tosunoğlu
6. Gabriele Villarini
7. I. Mallakpour

Citations in the corpus

• A hybrid framework for assessing socioeconomic drought: Linking climate variability, local resilience, and demand (2015, methodology): “Here the standardization is based on a nonparametric approach that does not require parameter estimation or any a priori assumption on the underlying distribution function of the original data [Farahmand and AghaKouchak, 2015; Hao et al., 2014].”
• Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, background): “Although two-parameter Gamma distribution is the commonly applied for rainfall data, several studies have shown that it may not always be best chose of distribution (Farahmand and AghaKouchak 2015).”