Application and Evaluation of the Gravel Parameterization Scheme in WRF‐CLM4 Model

As the gravel is a vital component of soil that affects hydrothermal condition, its application can help improve numerical simulations. In this study, data set containing content suitable to Weather Research and Forecasting Model-Community Land Model version 4 (WRF-CLM4) firstly established, parameterization scheme coupled WRF-CLM4. On basis, simulations are conducted over Tibetan Plateau, whose results further compared with global atmospheric Re-Analysis released by China Meteorological Administration (CRA-40) for evaluation. The show new simulation effect temperature certain extent. correlation coefficient (R) CRA-40 enhanced in shallow layer scheme. Besides, root mean square errors (RMSEs) significantly reduced layer. Comparatively, has better moisture. values R increase moisture RMSEs both deep layers greatly reduced. Regional-averages three areas time series large impact on old Overall, have been improved, while their trends closer comparison data.