巴尔干半岛和保加利亚非流体静力区域气候模式regcm-4.7.1对物理参数化方案的敏感性研究

R. Valcheva, Ivan Popov, Nikola Gerganov
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引用次数: 1

摘要

本研究的目的是在巴尔干半岛和保加利亚通过不同的参数化方案对区域气候模式RegCM4.7.1的新非流体静力动力核心进行初步测试。采用单向双嵌套技术,母域网格间距为15 km,嵌套域网格间距为3 km。2000年在Lambert共形圆锥投影上进行了20次模式分辨率为15公里的试验模拟,2000年1月进行了12次模式分辨率为3公里的试验模拟。试验了2种行星边界层方案(UW PBL和Holtslag)、4种积云方案(Emanuel、Grell、Tiedke和Kain-Fritsch)、3种显湿度方案(nogherott - tompkins、WSM5和SUBEX)和2种浅对流方案(MM5和Tiedke)。我们使用ERA-Interim再分析作为0.75度水平分辨率的15公里运行的边界条件。给出了几个模式输出参数(降水、温度、地表压力和云分数覆盖率)的结果。将输出结果与E-OBS观测数据集、卫星观测数据和ERA-Interim再分析数据进行比较。结果表明,该模型对不同参数化方案的选择比较敏感。在所有方案配置中,15km模拟均高估了降水量,低估了气温。在与nogherott - tompkins湿度方案相结合的模拟中,我们发现降水和地表压力的最大偏差。在3 km模拟中,WSM5湿度配置和nogherott - tompkins配置的UW PBL方案对研究区域的偏差最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A SENSITIVITY STUDY OF THE NON-HYDROSTATIC REGIONAL CLIMATE MODEL REGCM-4.7.1 TO PHYSICAL PARAMETRIZATION SCHEMES OVER THE BALKAN PENINSULA AND BULGARIA
The aim of this study is to present preliminary results of testing the new non-hydrostatic dynamic core of the regional climate model RegCM4.7.1 by varying different parametrization schemes over the Balkan Peninsula and Bulgaria. A one-way double nesting technique was applied, employing a mother domain with 15 km grid spacing and a nested domain with 3 km grid spacing. Twenty test simulations were performed with a model resolution of 15 km for the year 2000 on a Lambert Conformal Conic projection and 12 test simulations with a model resolution of 3 km for one monthJanuary 2000. Two planetary boundary layer schemes (UW PBL and Holtslag), four cumulus schemes (Emanuel, Grell, Tiedke and Kain-Fritsch), three explicit moisture schemes (Nogherotto-Tompkins, WSM5 and SUBEX) and two shallow convection configurations (MM5 and Tiedke) were tested. We used ERA-Interim reanalysis as boundary conditions for the 15 km runs with 0.75-degree horizontal resolution. The results are presented for several model output parameters (precipitation, temperature, surface pressure and cloud fraction cover). The output is compared with E-OBS observational dataset, satellite-based observations and ERA-Interim reanalysis. Based on the results, the model is sensitive to the choice of different parametrization schemes. The 15 km simulations overestimate the precipitation and underestimate the temperature in all scheme configurations. The biggest biases in precipitation and surface pressure we found in simulations with combinations with Nogherotto-Tompkins moisture scheme. In the case of 3 km simulations, UW PBL scheme with WSM5 moisture configurations and Nogherotto-Tompkins configurations gave the largest biases for the studied territory.
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