Amir AghaKouchak

TL;DR: In this article, a better understanding of compound events may improve projections of potential high-impact events, and can provide a bridge between climate scientists, engineers, social scientists, impact modellers and decision-makers.

TL;DR: A review of current and emerging drought monitoring approaches using satellite remote sensing observations from climatological and ecosystem perspectives is presented in this paper, where the authors argue that satellite observations not currently used for operational drought monitoring, such as near-surface air relative humidity data from the Atmospheric Infrared Sounder mission, provide opportunities to improve early drought warning.

TL;DR: In this article, a multivariate, multi-index drought-modeling approach is proposed using the concept of copulas, which probabilistically combines the Standardized Precipitation Index (SPI) and the standardized Soil Moisture Index (SSI) for drought characterization.

TL;DR: In this paper, the authors argue that a multivariate viewpoint is necessary for assessing risk of extreme events, especially in a warming climate, and discuss a methodology for assessing the risk of concurrent extremes such as droughts and extreme temperatures.

TL;DR: A typology of compound events is proposed, distinguishing events that are preconditioned, multivariate, temporally compounding and spatially compounding, and suggests analytical and modelling approaches to aid in their investigation.