Preprints
https://doi.org/10.5194/egusphere-2023-867
https://doi.org/10.5194/egusphere-2023-867
06 Jul 2023
 | 06 Jul 2023
Status: this preprint has been withdrawn by the authors.

The influences of incorporating dynamical external forcing in WRF v3.8.1 on regional climate simulation in China

Jinming Feng, Meng Luo, Jun Wang, Yuan Qiu, Qizhong Wu, and Ke Wang

Abstract. External forcing is the driving force of climate system, which has significant impact on long-term climate changes. Unlike in the Global Climate Models whose external forcing is clearly prescribed, whether or not to use spatial-temporal varying external forcing to force the Regional Climate Models (RCMs) is still lacking evaluations. Here we modify the regional climate model WRF v3.8.1 to include all kinds of spatial-temporal varying external forcing components, and further investigate the impact of dynamical forcing on the long-term simulation in China. The results showed that different external forcing configurations in WRF could result in a variation range of 0.08 °C/10a for annual temperature trend and 19.9 mm/10a for annual precipitation trend in Eastern China (EC), whose impact was stronger than parameterization schemes but was weaker than spectral nudging. The influence of spectral nudging on long-term trend also depended on the configuration of parameterization schemes and external forcing. The WRF model could reasonably reproduce the forcing response pattern of temperature, precipitation, and associated radiative and circulation anomaly changes. The forced annual temperature trend in China could be roughly explained by the linear superposition of GHGs and anthropogenic aerosols, while the forcing response pattern of summer precipitation trend was mainly determined by anthropogenic aerosols. Therefore, we recommend that when using RCMs for long-term simulations, one should first run a long-term preliminary test to determine whether or not to use nudging, and it is better to use all set of varying forcing components than to use varying GHGs only.

This preprint has been withdrawn.

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Jinming Feng, Meng Luo, Jun Wang, Yuan Qiu, Qizhong Wu, and Ke Wang

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Jinming Feng, Meng Luo, Jun Wang, Yuan Qiu, Qizhong Wu, and Ke Wang

Model code and software

WRF v3.8.1 with external forcing components Jinming Feng https://doi.org/10.5281/zenodo.8111877

Jinming Feng, Meng Luo, Jun Wang, Yuan Qiu, Qizhong Wu, and Ke Wang

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Short summary
We modified the code of the Weather Research and Forecasting Model (WRF) v3.8.1 to include the forcing components more than the Greenhouse Gases and evaluate the impact of forcing configurations on the climate simulation results in China. It showed that different external forcing configurations in WRF could result in considerable impact on the annual temperature and precipitation trend, which was stronger than parameterization schemes but was weaker than spectral nudging.