4.6 Article

Evaluation of the effects of a multiphysics ensemble on the simulation of an extremely hot summer in 2003 over the CORDEX-EA-II region

Journal

INTERNATIONAL JOURNAL OF CLIMATOLOGY
Volume 39, Issue 8, Pages 3413-3430

Publisher

WILEY
DOI: 10.1002/joc.6028

Keywords

CORDEX-EA-II domain; extremes; physical schemes; precipitation; temperature

Funding

  1. National Natural Science Foundation of China [41875124, 41505057, 41575099]
  2. National Key Research and Development Program of China [2018YFA0606003, 2017YFA0603803]

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In this paper, we evaluate a 48-member multiphysics ensemble using the Weather Research and Forecasting (WRF) model for the JJA extreme precipitation and temperature in 2003 over the CORDEX-EA-II domain. The simulated precipitation and temperature are reasonable in the subregions controlled by a large-scale circulation, yet the biases for both precipitation and temperature are evident over the subregions where the effects of mesoscale processes are important. The performance of various combinations of WRF physical schemes for simulating the JJA precipitation is dependent on the region. Meanwhile, the cumulus and microphysical schemes have substantial influences on the simulation of precipitation, and the land surface models and cumulus schemes play crucial roles in the surface temperature. Our analysis shows that the combination of Noah for the land surface process, Lin for the microphysics, G3D for the cumulus parameterization, and CAM for the radiation scheme can provide the most reliable reproduction of both precipitation and temperature extremes over China. Ensemble analysis shows that the simulated climate extremes are usually accompanied by a large ensemble spread, implying sensitivities to the model physical processes in some subregions. The simulated wind fields at low-to-middle atmospheric levels display responses to the options of the land surface models and cumulus schemes. The essential impact of the land-atmospheric interaction on simulating the extremes can be largely attributed to the active convective processes. WRF has difficulties in reproducing the observed temporal evolution of the rainfall process, which consists of continuous large rainfall episodes in the observation data set during the simulation period.

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