Sensitivity Study of Four Land Surface Schemes in the WRF Model
The Weather Research and Forecasting (WRF) model version 3.0 developed by the National Center for Atmospheric Research (NCAR) includes three land surface schemes: the simple soil thermal diffusion (STD) scheme, the Noah scheme, and the Rapid Update Cycle (RUC) scheme. We have recently coupled the s...
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2010/167436 |
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| author | Jiming Jin Norman L. Miller Nicole Schlegel |
| author_facet | Jiming Jin Norman L. Miller Nicole Schlegel |
| author_sort | Jiming Jin |
| collection | DOAJ |
| description | The Weather Research and Forecasting (WRF) model version 3.0 developed by the National Center for Atmospheric Research (NCAR) includes three land surface schemes: the simple soil thermal diffusion (STD) scheme, the Noah scheme, and the Rapid Update Cycle (RUC) scheme. We have recently coupled the sophisticated NCAR Community Land Model version 3 (CLM3) into WRF to better characterize land surface processes. Among these four land surface schemes, the STD scheme is the simplest in both structure and process physics. The Noah and RUC schemes are at the intermediate level of complexity. CLM3 includes the most sophisticated snow, soil, and vegetation physics among these land surface schemes. WRF simulations with all four land surface schemes over the western United States (WUS) were carried out for the 1 October 1995 through 30 September 1996. The results show that land surface processes strongly affect temperature simulations over the (WUS). As compared to observations, WRF-CLM3 with the highest complexity level significantly improves temperature simulations, except for the wintertime maximum temperature. Precipitation is dramatically overestimated by WRF with all four land surface schemes over the (WUS) analyzed in this study and does not show a close relationship with land surface processes. |
| format | Article |
| id | doaj-art-7793c41fe83e4d7ab5b2424281d8b4a5 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-7793c41fe83e4d7ab5b2424281d8b4a52025-02-03T05:47:14ZengWileyAdvances in Meteorology1687-93091687-93172010-01-01201010.1155/2010/167436167436Sensitivity Study of Four Land Surface Schemes in the WRF ModelJiming Jin0Norman L. Miller1Nicole Schlegel2Departments of Watershed Sciences & Plants, Soils, and Climate, UT 84322-1400 State University, Logan, Utah, USALawrence Berkeley National Laboratory, Earth Sciences Division, Department of Geography, University of California at Berkeley, Berkeley, CA 94720, USADepartment of Earth and Planetary Science, University of California at Berkeley, Beverley, CA 94720, USAThe Weather Research and Forecasting (WRF) model version 3.0 developed by the National Center for Atmospheric Research (NCAR) includes three land surface schemes: the simple soil thermal diffusion (STD) scheme, the Noah scheme, and the Rapid Update Cycle (RUC) scheme. We have recently coupled the sophisticated NCAR Community Land Model version 3 (CLM3) into WRF to better characterize land surface processes. Among these four land surface schemes, the STD scheme is the simplest in both structure and process physics. The Noah and RUC schemes are at the intermediate level of complexity. CLM3 includes the most sophisticated snow, soil, and vegetation physics among these land surface schemes. WRF simulations with all four land surface schemes over the western United States (WUS) were carried out for the 1 October 1995 through 30 September 1996. The results show that land surface processes strongly affect temperature simulations over the (WUS). As compared to observations, WRF-CLM3 with the highest complexity level significantly improves temperature simulations, except for the wintertime maximum temperature. Precipitation is dramatically overestimated by WRF with all four land surface schemes over the (WUS) analyzed in this study and does not show a close relationship with land surface processes.http://dx.doi.org/10.1155/2010/167436 |
| spellingShingle | Jiming Jin Norman L. Miller Nicole Schlegel Sensitivity Study of Four Land Surface Schemes in the WRF Model Advances in Meteorology |
| title | Sensitivity Study of Four Land Surface Schemes in the WRF Model |
| title_full | Sensitivity Study of Four Land Surface Schemes in the WRF Model |
| title_fullStr | Sensitivity Study of Four Land Surface Schemes in the WRF Model |
| title_full_unstemmed | Sensitivity Study of Four Land Surface Schemes in the WRF Model |
| title_short | Sensitivity Study of Four Land Surface Schemes in the WRF Model |
| title_sort | sensitivity study of four land surface schemes in the wrf model |
| url | http://dx.doi.org/10.1155/2010/167436 |
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