High‐resolution dynamically downscaled projections of precipitation in the mid and late 21st century over North America

This study performs high‐spatial‐resolution (12 km) Weather Research and Forecasting (WRF) simulations over a very large domain (7200 km × 6180 km, covering much of North America) to explore changes in mean and extreme precipitation in the mid and late 21st century under Representative Concentration...

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Veröffentlicht in:Earth's future 2015-07, Vol.3 (7), p.268-288
Hauptverfasser: Wang, Jiali, Kotamarthi, Veerabhadra R.
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description This study performs high‐spatial‐resolution (12 km) Weather Research and Forecasting (WRF) simulations over a very large domain (7200 km × 6180 km, covering much of North America) to explore changes in mean and extreme precipitation in the mid and late 21st century under Representative Concentration Pathways 4.5 (RCP 4.5) and 8.5 (RCP 8.5). We evaluate WRF model performance for a historical simulation and future projections, applying the Community Climate System Model version 4 (CCSM4) as initial and boundary conditions with and without a bias correction. WRF simulations using boundary and initial conditions from both versions of CCSM4 show smaller biases versus evaluation data sets than does CCSM4 over western North America. WRF simulations also improve spatial details of precipitation over much of North America. However, driving the WRF with the bias‐corrected CCSM4 does not always reduce the bias. WRF‐projected changes in precipitation include decreasing intensity over the southwestern United States, increasing intensity over the eastern United Sates and most of Canada, and an increase in the number of days with heavy precipitation over much of North America. Projected precipitation changes are more evident in the late 21st century than the mid 21st century, and they are more evident under RCP 8.5 than under RCP 4.5 in the late 21st century. Uncertainties in the projected changes in precipitation due to different warming scenarios are non‐negligible. Differences in summer precipitation changes between WRF and CCSM4 are significant over most of the United States. Key Points WRF adds significant value beyond CCSM4 Bias correction of GCMs does not always reduce model bias Extreme precipitation is projected to increase
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Argonne Leadership Computing Facility (ALCF)</creatorcontrib><description>This study performs high‐spatial‐resolution (12 km) Weather Research and Forecasting (WRF) simulations over a very large domain (7200 km × 6180 km, covering much of North America) to explore changes in mean and extreme precipitation in the mid and late 21st century under Representative Concentration Pathways 4.5 (RCP 4.5) and 8.5 (RCP 8.5). We evaluate WRF model performance for a historical simulation and future projections, applying the Community Climate System Model version 4 (CCSM4) as initial and boundary conditions with and without a bias correction. WRF simulations using boundary and initial conditions from both versions of CCSM4 show smaller biases versus evaluation data sets than does CCSM4 over western North America. WRF simulations also improve spatial details of precipitation over much of North America. However, driving the WRF with the bias‐corrected CCSM4 does not always reduce the bias. WRF‐projected changes in precipitation include decreasing intensity over the southwestern United States, increasing intensity over the eastern United Sates and most of Canada, and an increase in the number of days with heavy precipitation over much of North America. Projected precipitation changes are more evident in the late 21st century than the mid 21st century, and they are more evident under RCP 8.5 than under RCP 4.5 in the late 21st century. Uncertainties in the projected changes in precipitation due to different warming scenarios are non‐negligible. Differences in summer precipitation changes between WRF and CCSM4 are significant over most of the United States. 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Argonne Leadership Computing Facility (ALCF)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High‐resolution dynamically downscaled projections of precipitation in the mid and late 21st century over North America</atitle><jtitle>Earth's future</jtitle><date>2015-07</date><risdate>2015</risdate><volume>3</volume><issue>7</issue><spage>268</spage><epage>288</epage><pages>268-288</pages><issn>2328-4277</issn><eissn>2328-4277</eissn><abstract>This study performs high‐spatial‐resolution (12 km) Weather Research and Forecasting (WRF) simulations over a very large domain (7200 km × 6180 km, covering much of North America) to explore changes in mean and extreme precipitation in the mid and late 21st century under Representative Concentration Pathways 4.5 (RCP 4.5) and 8.5 (RCP 8.5). We evaluate WRF model performance for a historical simulation and future projections, applying the Community Climate System Model version 4 (CCSM4) as initial and boundary conditions with and without a bias correction. WRF simulations using boundary and initial conditions from both versions of CCSM4 show smaller biases versus evaluation data sets than does CCSM4 over western North America. WRF simulations also improve spatial details of precipitation over much of North America. However, driving the WRF with the bias‐corrected CCSM4 does not always reduce the bias. WRF‐projected changes in precipitation include decreasing intensity over the southwestern United States, increasing intensity over the eastern United Sates and most of Canada, and an increase in the number of days with heavy precipitation over much of North America. Projected precipitation changes are more evident in the late 21st century than the mid 21st century, and they are more evident under RCP 8.5 than under RCP 4.5 in the late 21st century. Uncertainties in the projected changes in precipitation due to different warming scenarios are non‐negligible. Differences in summer precipitation changes between WRF and CCSM4 are significant over most of the United States. Key Points WRF adds significant value beyond CCSM4 Bias correction of GCMs does not always reduce model bias Extreme precipitation is projected to increase</abstract><cop>Hoboken, USA</cop><pub>Wiley Periodicals, Inc</pub><doi>10.1002/2015EF000304</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record>
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subjects Bias
Boundary conditions
Climate change
Climate models
Climate system
Computer simulation
dynamic downscaling
ENVIRONMENTAL SCIENCES
Extreme weather
Heavy precipitation
high‐resolution
Initial conditions
North America
Precipitation
projection
R&D
Research & development
Simulation
Statistical analysis
Studies
Summer
Summer precipitation
Weather forecasting
Winter
title High‐resolution dynamically downscaled projections of precipitation in the mid and late 21st century over North America
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