Journal
INTERNATIONAL JOURNAL OF CLIMATOLOGY
Volume 37, Issue -, Pages 910-920Publisher
WILEY
DOI: 10.1002/joc.5046
Keywords
drought; climate models; northwestern United States
Categories
Funding
- USDA National Institute of Food and Agriculture [2011-68002-30191]
- NOAA through the Climate Impacts Research Consortium [NA10OAR4310218]
- National Science Foundation [DMS-1520873]
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1520873] Funding Source: National Science Foundation
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Projected changes in regional characteristics of drought throughout the 21st century can help inform climate change assessments across drought-sensitive sectors. However, the ability of global climate models (GCMs) to reproduce statistical attributes of observed drought at regional scales has not typically been considered. We present a framework for evaluating the fidelity of GCMs to simulate regional drought to help guide model selection for users of regional climate projections where drought plays a key climate impact, and elucidate shortcomings of model simulations of hydroclimate variability. Monthly precipitation (Pr) and potential evapotranspiration (ETo) from 24 GCMs of the Coupled Model Intercomparison Project Phase 5 were compared to observations, with a focus on the northwestern United States (NWUS), using a suite of statistics for capturing multi-scalar aspects of drought and both supply (Pr) and atmospheric demand (ETo). Model fidelity was generally higher for drought metrics evaluated with ETo versus Pr, and for seasonal and annual time scales versus multi-year time scales. While some GCMs performed well across the suite of drought metrics and time scales, models systematically underestimated the severity of regional drought in the NWUS defined by precipitation deficits, particularly for multi-year time scales.
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