Deciphering the expression of climate change within the Lower Colorado River basin by stochastic simulation of convective rainfall

Autor: Michael Bliss Singer, Katerina Michaelides
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Environmental Research Letters, Vol 12, Iss 10, p 104011 (2017)
Druh dokumentu: article
ISSN: 1748-9326
DOI: 10.1088/1748-9326/aa8e50
Popis: In drylands, convective rainstorms typically control runoff, streamflow, water supply and flood risk to human populations, and ecological water availability at multiple spatial scales. Since drainage basin water balance is sensitive to climate, it is important to improve characterization of convective rainstorms in a manner that enables statistical assessment of rainfall at high spatial and temporal resolution, and the prediction of plausible manifestations of climate change. Here we present a simple rainstorm generator, STORM, for convective storm simulation. It was created using data from a rain gauge network in one dryland drainage basin, but is applicable anywhere. We employ STORM to assess watershed rainfall under climate change simulations that reflect differences in wetness/storminess, and thus provide insight into observed or projected regional hydrologic trends. Our analysis documents historical, regional climate change manifesting as a multidecadal decline in rainfall intensity, which we suggest has negatively impacted ephemeral runoff in the Lower Colorado River basin, but has not contributed substantially to regional negative streamflow trends.
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