Evaluation of WRF and HadRM Mesoscale Climate Simulations over the U.S. Pacific NorthwestSource: Journal of Climate:;2009:;volume( 022 ):;issue: 020::page 5511DOI: 10.1175/2009JCLI2875.1Publisher: American Meteorological Society
Abstract: This work compares the Weather Research and Forecasting (WRF) and Hadley Centre Regional Model (HadRM) simulations with the observed daily maximum and minimum temperature (Tmax and Tmin) and precipitation at Historical Climatology Network (HCN) stations over the U.S. Pacific Northwest for 2003?07. The WRF and HadRM runs were driven by the NCEP/Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP)-II Reanalysis (R-2) data. The simulated Tmax in WRF and HadRM as well as in R-2 compares well with the observations. Predominantly cold biases of Tmax are noted in WRF and HadRM in spring and summer, while in winter and fall more stations show warm biases, especially in HadRM. Large cold biases of Tmax are noted in R-2 at all times. The simulated Tmin compares reasonably well with the observations, although not as well as Tmax in both models and in the reanalysis R-2. Warm biases of Tmin prevail in both model simulations, while R-2 shows mainly cold biases. The R-2 data play a role in the model biases of Tmax, although there are also clear indications of resolution dependency. The model biases of Tmin originate mainly from the regional models. The temporal correlation between the simulated and observed daily precipitation is relatively low in both models and in the reanalysis; however, the correlation increases steadily for longer averaging times. The high-resolution models perform better than R-2, although the nested WRF domains do have the largest biases in precipitation during the winter and spring seasons.
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contributor author | Zhang, Yongxin | |
contributor author | Dulière, Valérie | |
contributor author | Mote, Philip W. | |
contributor author | Salathé, Eric P. | |
date accessioned | 2017-06-09T16:29:19Z | |
date available | 2017-06-09T16:29:19Z | |
date copyright | 2009/10/01 | |
date issued | 2009 | |
identifier issn | 0894-8755 | |
identifier other | ams-68774.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4210369 | |
description abstract | This work compares the Weather Research and Forecasting (WRF) and Hadley Centre Regional Model (HadRM) simulations with the observed daily maximum and minimum temperature (Tmax and Tmin) and precipitation at Historical Climatology Network (HCN) stations over the U.S. Pacific Northwest for 2003?07. The WRF and HadRM runs were driven by the NCEP/Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP)-II Reanalysis (R-2) data. The simulated Tmax in WRF and HadRM as well as in R-2 compares well with the observations. Predominantly cold biases of Tmax are noted in WRF and HadRM in spring and summer, while in winter and fall more stations show warm biases, especially in HadRM. Large cold biases of Tmax are noted in R-2 at all times. The simulated Tmin compares reasonably well with the observations, although not as well as Tmax in both models and in the reanalysis R-2. Warm biases of Tmin prevail in both model simulations, while R-2 shows mainly cold biases. The R-2 data play a role in the model biases of Tmax, although there are also clear indications of resolution dependency. The model biases of Tmin originate mainly from the regional models. The temporal correlation between the simulated and observed daily precipitation is relatively low in both models and in the reanalysis; however, the correlation increases steadily for longer averaging times. The high-resolution models perform better than R-2, although the nested WRF domains do have the largest biases in precipitation during the winter and spring seasons. | |
publisher | American Meteorological Society | |
title | Evaluation of WRF and HadRM Mesoscale Climate Simulations over the U.S. Pacific Northwest | |
type | Journal Paper | |
journal volume | 22 | |
journal issue | 20 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/2009JCLI2875.1 | |
journal fristpage | 5511 | |
journal lastpage | 5526 | |
tree | Journal of Climate:;2009:;volume( 022 ):;issue: 020 | |
contenttype | Fulltext |