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The Key Role of Heavy Precipitation Events in Climate Model Disagreements of Future Annual Precipitation Changes in California

Kei Yoshimura, Mary Tyree, Mark Snyder, Lisa C. Sloan, David W. Pierce, Norman L. Miller, Edwin P. Maurer, M. Kanamitsu, Guido Franco, Tapash Das, Daniel R. Cayan, Yan Bao | August 6th, 2013


Climate model simulations disagree on whether future precipitation will increase or decrease over Cal- ifornia, which has impeded efforts to anticipate and adapt to human-induced climate change. This dis- agreement is explored in terms of daily precipitation frequency and intensity. It is found that divergent model projections of changes in the incidence of rare heavy (.60 mm day21) daily precipitation events explain much of the model disagreement on annual time scales, yet represent only 0.3% of precipitating days and 9% of annual precipitation volume. Of the 25 downscaled model projections examined here, 21 agree that pre- cipitation frequency will decrease by the 2060s, with a mean reduction of 6–14 days yr21. This reduces Cal- ifornia’s mean annual precipitation by about 5.7%. Partly offsetting this, 16 of the 25 projections agree that daily precipitation intensity will increase, which accounts for a model average 5.3% increase in annual pre- cipitation. Between these conflicting tendencies, 12 projections show drier annual conditions by the 2060s and 13 show wetter. These results are obtained from 16 global general circulation models downscaled with dif- ferent combinations of dynamical methods [Weather Research and Forecasting (WRF), Regional Spectral Model (RSM), and version 3 of the Regional Climate Model (RegCM3)] and statistical methods [bias cor- rection with spatial disaggregation (BCSD) and bias correction with constructed analogs (BCCA)], although not all downscaling methods were applied to each global model. Model disagreements in the projected change in occurrence of the heaviest precipitation days (.60 mm day21) account for the majority of disagreement in the projected change in annual precipitation, and occur preferentially over the Sierra Nevada and Northern California. When such events are excluded, nearly twice as many projections show drier future conditions.

Keywords

climate change, modeling, water supply forecasting