2015
DOI: 10.2208/jscejhe.71.i_55
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Sensitivity of Single-Year Seasonal Precipitation to Parameterization in the Weather Research and Forecasting (Wrf) Model

Abstract: The production of precipitation in a regional climate model (RCM) is handled primarily by the microphysics and cumulus physics parameterizations. Application of the WRF model as an RCM to a midlatitude Japan case and tropical Philippine case using single-year simulation sensitivity experiment showed scheme sensitivity to simulation of precipitation and exploration of potential transferability of the schemes to different climate regime applications. Results show that simulations can capture seasonal 2-meter air… Show more

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Cited by 2 publications
(7 citation statements)
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“…Results for CU sensitivity experiment were already discussed in previous paper 5) focused on selection of CU-MP combination of schemes for Japan and Philippines. This paper, however, focuses on the CU scheme coupling with MP schemes, RAD schemes, and BL schemes in representing precipitation in the WRF simulations through PCC-SDR plots and mean budget profile analysis.…”
Section: Resultsmentioning
confidence: 97%
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“…Results for CU sensitivity experiment were already discussed in previous paper 5) focused on selection of CU-MP combination of schemes for Japan and Philippines. This paper, however, focuses on the CU scheme coupling with MP schemes, RAD schemes, and BL schemes in representing precipitation in the WRF simulations through PCC-SDR plots and mean budget profile analysis.…”
Section: Resultsmentioning
confidence: 97%
“…On the other hand, wide variation of the results for JJA and SON seasons. This shows the control of small-scale forcing in the precipitation mechanism during these seasons defined by the occurrence of Baiu front, extratropical typhoons, and thunderstorms 5) . This variation show the sensitivity of seasonal precipitation to precipitation forcing as represented by convection triggers in the cumulus convection schemes.…”
Section: (1) Cu Sensitivity Experimentsmentioning
confidence: 86%
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