Multicentury preindustrial control simulations from six of the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) models are used to examine the relationship between low-frequency precipitation variations in the Great Plains (GP) region of the United States and global sea surface temperatures (SSTs). This study builds on previous work performed with atmospheric models forced by observed SSTs during the twentieth century and extends it to a coupledmodel context and longer time series. The climatemodels used in this study reproduce the precipitation climatology over the United States reasonably well, with maximum precipitation occurring in early summer, as observed. The modeled precipitation time series exhibit negative "decadal" anomalies, identified using a 5-yr running mean, of amplitude comparable to that of the twentiethcentury droughts. It is found that low-frequency anomalies over the GP are part of a large-scale pattern of precipitation variations, characterized by anomalies of the same sign as in the GP region over Europe and southern South America and anomalies of opposite sign over northern South America, India, and Australia. The largescale pattern of the precipitation anomalies is associated with global-scale atmospheric circulation changes; duringwet periods in theGP, geopotential heights are raised in the tropics and high latitudes and lowered in the midlatitudes in most models, with the midlatitude jets displaced toward the equator in both hemispheres. Statistically significant correlations are found between the decadal precipitation anomalies in theGP region and tropical Pacific SSTs in all the models. The influence of other oceans (Indian and tropical and North Atlantic), which previous studies have identified as potentially important, appears to be model dependent. © 2010 American Meteorological Society.
CITATION STYLE
Capotondi, A., & Alexander, M. A. (2010). Relationship between precipitation in the great plains of the United States and global ssts: Insights from the ipcc AR4 models. Journal of Climate, 23(11), 2941–2958. https://doi.org/10.1175/2009JCLI3291.1
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