Impact of Land Surface and Cumulus Parameterization Schemes on the Simulation Skills of RegCM4.0 over CORDEX-East Asia Phase 2 domain

Abstract

: We investigated on the proper combination of physical parameterization schemes of RegCM4.0 for the simulation of regional climate over CORDEX-East Asia Phase 2 domain. Based on the Lee(2016)'s sensitivity experiments for the four combination using two land surface schemes and two cumulus parameterization schemes during 5 years (1979)(1980)(1981)(1982)(1983), we selected the two combinations (CE: CLM+Emanuel and BG: BATS+Grell). The ER A-Interim was used as lateral boundary data of RegCM4.0 for the two experiments during 25 years . Simulation skills of temperature were similar in the two combination of physical processes irrespective of seasons and locations. However, there were a substantial differences in the simulation skills of precipitation according to the combination of physical processes, which were better in CE than BG combination. In general, the CE combination better simulated the precipitation characteristics in July and August over South Korea than BG combination, in terms of frequency and amount of precipitation according to the intensity. The superior skills of CE in simulating precipitation over South Korea can be related to the better simulation of seasonal march of the East Asian summer monsoon including the location and intensity of the North Pacific high pressure system than BG. The results suggested that the CE combination can simulate the climate characteristics in the CORDEX East Asia Phase 2 region better than the BG combination.

Assessment of Soil Moisture‐Temperature Feedbacks With the CCSM‐WRF Model System Over East Asia

“…In Asia, the Coordinated Regional Climate Downscaling Experiment‐East Asia produces ensemble climate simulations based on multiple dynamic downscaling models to provide a coordinated model evaluation, climate projection framework, regional climate analyses, and information for adaptation, mitigation, and vulnerability assessments (Giorgi et al, ; Jacob et al, ). However, the studies of the Coordinated Regional Climate Downscaling Experiment‐East Asia pay more attentions to the mean state and variation of temperature and precipitation, and the impact of boundary conditions and physical parameterization schemes (Kim et al, ; Oh et al, , ; Park et al, ; Zou et al, ), with less emphasis on the effects of soil moisture‐atmosphere interactions on climate variables and climate change. Driven by GCMs, RCM simulations inherit the major features of GCMs and their systematic biases (Hong & Kanamitsu, ; Xue et al, ).…”

Application of Bias- and Variance-Corrected SST on Wintertime Precipitation Simulation of Regional Climate Model over East Asian Region

“…This domain is included from Sri Lanka, Thailand, and Philippines to the south of Russia to north-south direction and from the west of India and Tibet Plateau to Philippines Edwards and Slingo (1996), Cusack et al (1999) Land surface model Joint UK Land Environment Simulator (JULES) Planetary boundary layer scheme Smith (1990), Lock et al (2000) Cumulus parameterization scheme Gregory and Rowntree (1990), Grant and Brown (1999) Sea and Western North Pacific to east-west direction. Particularly, it is the region reported a variety of climate phenomena that influence precipitation directly or indirectly (Zhou et al 2016;Choi and Ahn 2017;Kim et al 2017b).…”

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

“…The combination of different options of physical schemes can lead to divergent downscaling results and large uncertainties (Déqué et al , ). Consequently, multiple sensitivity and ensemble experiments have been designed to analyse the individual and combined effects of the model parameterization (Reboita et al , ; Shrivastava et al , ; Kim et al , ; Karki et al , ; Madhulatha and Rajeevan, ).…”