Extreme Precipitation and Temperature over the U.S. Pacific Northwest: A Comparison between Observations, Reanalysis Data, and Regional Models

AbstractExtreme precipitation and temperature indices in reanalysis data and regional climate models are compared to station observations. The regional models represent most indices of extreme temperature well. For extreme precipitation, finer grid spacing considerably improves the match to observations. Three regional models, the Weather Research and Forecasting (WRF) at 12- and 36-km grid spacing and the Hadley Centre Regional Model (HadRM) at 25-km grid spacing, are forced with global reanalysis fields over the U.S. Pacific Northwest during 2003–07. The reanalysis data represent the timing of rain-bearing storms over the Pacific Northwest well; however, the reanalysis has the worst performance at simulating both extreme precipitation indices and extreme temperature indices when compared to the WRF and HadRM simulations. These results suggest that the reanalysis data and, by extension, global climate model simulations are not sufficient for examining local extreme precipitations and temperatures owing t...

[1]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[2]  B. Soden,et al.  Atmospheric Warming and the Amplification of Precipitation Extremes , 2008, Science.

[3]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[4]  Jordan G. Powers,et al.  A Description of the Advanced Research WRF Version 2 , 2005 .

[5]  U. Willén,et al.  European climate in the late twenty-first century: regional simulations with two driving global models and two forcing scenarios , 2004 .

[6]  David R. Easterling,et al.  United States Historical Climatology Network (US HCN) monthly temperature and precipitation data , 1996 .

[7]  J. Dudhia,et al.  A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation , 2004 .

[8]  Y. Qian,et al.  Hydroclimate of the Western United States Based on Observations and Regional Climate Simulation of 1981–2000. Part I: Seasonal Statistics , 2003 .

[9]  John S. Kain,et al.  Convective parameterization for mesoscale models : The Kain-Fritsch Scheme , 1993 .

[10]  Dennis P. Lettenmaier,et al.  Precipitation extremes and the impacts of climate change on stormwater infrastructure in Washington State , 2010 .

[11]  John F. B. Mitchell,et al.  Workbook on generating high resolution climate change scenarios using PRECIS , 2003 .

[12]  Ronald B. Smith,et al.  A Linear Theory of Orographic Precipitation , 2004 .

[13]  W. May Potential future changes in the characteristics of daily precipitation in Europe simulated by the HIRHAM regional climate model , 2008 .

[14]  C. Mass,et al.  A High-Resolution Climate Model for the U.S. Pacific Northwest: Mesoscale Feedbacks and Local Responses to Climate Change* , 2008 .

[15]  G. Meehl,et al.  An intercomparison of model-simulated historical and future changes in extreme events , 2007 .

[16]  John F. B. Mitchell,et al.  Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios , 2003 .

[17]  Y. Qian,et al.  Hydroclimate of the Western United States Based on Observations and Regional Climate Simulation of 1981–2000. Part II: Mesoscale ENSO Anomalies , 2003 .

[18]  Valérie Dulière,et al.  Evaluation of WRF and HadRM Mesoscale Climate Simulations over the U.S. Pacific Northwest , 2009 .

[19]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part II: Preliminary Model Validation , 2001 .

[20]  Valérie Dulière,et al.  Evaluation of WRF and HadRM Mesoscale Climate Simulations over the United States Pacific Northwest , 2008 .

[21]  Kenneth J. Westrick,et al.  Does Increasing Horizontal Resolution Produce More Skillful Forecasts , 2002 .

[22]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .

[23]  R. Marchand,et al.  An evaluation of NCEP Eta model predictions of surface energy budget and cloud properties by comparison with measured ARM data , 1999 .

[24]  John F. B. Mitchell,et al.  The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments , 2000 .

[25]  H. Fowler,et al.  Multi‐model ensemble estimates of climate change impacts on UK seasonal precipitation extremes , 2009 .

[26]  M. Kanamitsu,et al.  NCEP–DOE AMIP-II Reanalysis (R-2) , 2002 .

[27]  P. Jones,et al.  New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 1. Assessment of control climate , 2005 .

[28]  P. Mote,et al.  Surface temperature lapse rates over complex terrain: Lessons from the Cascade Mountains , 2010 .

[29]  Yi-Leng Chen,et al.  The Impact of Trade Wind Strength on Precipitation over the Windward Side of the Island of Hawaii , 2008 .