Extremes in a Changing Climate: Detection, Analysis and Uncertainty
By Amir Aghakouchak. 2013
180 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/61aa2b33a034c8b51ab3d36997b3375bd508be23
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Gabriele Villarini
- I. Mallakpour
- Eric Gilleland
- R. Katz
- C. Bracken
- Amir Aghakouchak
- Hamid Moradkhani
- Balaji Rajagopalan
In Global and Planetary Change
- Eric Gilleland
- Gabriele Villarini
- I. Mallakpour
- R. Katz
- Balaji Rajagopalan
- Amir Aghakouchak
- C. Bracken
- Hamid Moradkhani
Citations in the corpus
- A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean (2016, methodology): “Therefore, our findings are in line with Katz (2013), and indicate that alternative methodologies are recommended to detect change points in the extremes in the case of a weak signal.”
- A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018, background): “Read and Vogel (2015) suggest it is important to be clear when discussing nonstationary return levels and return periods as there are several definitions (AghaKouchak et al., 2013; Cheng et al., 2014; Salas & Obeysekera, 2014).”
- Non-stationary extreme value analysis in a changing climate (2014, background): “Recently, climatic extremes have been widely studied at a range of spatial and temporal scales (Jakob 2013; AghaKouchak et al. 2013; Diffenbaugh and Giorgi 2012; Kharin et al. 2007; Easterling et al. 2000).”