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Do Extreme Climate Events Require Extreme Forcings

TLDR
In this paper, a case study of severe drought during May-July (MJJ) 2012 over the Great Plains was used to assess whether extreme climate events require extreme external forcings.
Abstract
For the severe drought during May-July (MJJ) 2012 over the Great Plains as a case study, the question whether extreme climate events require extreme forcings is assessed. This drought event had a rapid onset and no indications, or early warnings for its occurrence existed. The analysis is based on a dynamical seasonal climate forecast system where close to the analysis period of MJJ 2012 different components – ocean, atmosphere, land, sea ice – were initialized and an ensemble of forecasts were made. Based on the analysis of spectrum of possible outcomes for precipitation over the Great Plains, it is concluded that extreme climate events do not necessarily require extreme external forcings, and could just be a manifestation of atmospheric noise. Implications for developing early warning system for extreme events is also discussed.

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Citations
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A compound event framework for understanding extreme impacts

TL;DR: In this paper, the authors proposed the use of influence diagrams for defining, mapping, analyzing, modeling, and communicating the risk of a compound event, which is a combination of variables or events that lead to an extreme impact.
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Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought

TL;DR: This paper examined the evolution of several model-based and satellite-derived drought metrics sensitive to soil moisture and vegetation conditions during the extreme flash drought event that impacted major agricultural areas across the central U.S. during 2012.
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Multimodel seasonal forecasting of global drought onset

TL;DR: In this article, the capability of seasonal forecasting of global drought onset at local scales (1°) has been investigated using multiple climate models with 110 realizations, and it was shown that the multimodel ensemble increases the drought detectability over some tropical areas where individual models have better performance, but cannot help more over most extratropical regions.
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Complex water management in modern agriculture: Trends in the water-energy-food nexus over the High Plains Aquifer

TL;DR: This research sets the foundation to address water management as a function of complex decision-making trends linked to the water-energy-food nexus and recommends strategy recommendations based on the objective of balancing farmer profit and conserving water resources to ensure future agricultural production.
References
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