SaWaM WRF physics parameterisation scheme combination #7 (RUN7)

While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterisation schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterised in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterisation schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterisation runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution. Conclusions about suitable physical parameterisation schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided. For more information about the setup of the experiments, please see: Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).尽管大气环流模型（General Circulation Models, GCMs）输出的气候信息通常分辨率过低，难以满足气候影响建模人员及跨学科（如水文学、农学）决策者的需求，但区域气候模型（Regional Climate Models, RCMs）与区域地球系统模型（Regional Earth System Models, RESMs）可将GCM输出降尺度至更高时空分辨率，为上述用户提供了可行解决方案。 然而，模型性能很大程度上取决于物理参数化方案（physical parameterisation schemes）的选择，且最优配置会因区域而异。除陆面过程外，地球系统模型（Earth System Models, ESMs）中需参数化的核心过程还包括辐射（Radiation, RA）、积云对流（Cumulus Convection, CU）、云微物理（Cloud Microphysics, MP）以及行星边界层（Planetary Boundary Layer, PBL），这些过程间存在复杂的相互作用。因此，在开展长期气候模拟前，为上述过程筛选合适的物理参数化方案组合是必不可少的步骤。 本研究以欧洲中期天气预报中心（European Centre for Medium-Range Weather Forecasts, ECMWF）再分析产品ERA-Interim作为侧边界条件，采用天气研究与预报模型（Weather Research and Forecasting, WRF，版本v3.9），在赤道以北的撒哈拉以南非洲北部（Northern sub-Saharan Africa, NSSA）大区域范围内，分别使用2种不同的积云对流（CU）、云微物理（MP）、行星边界层（PBL）及辐射（RA）方案，开展了共16组物理参数化集合模拟试验，模拟时段为2006-2010年，水平分辨率为0.1度。 针对研究区域内适宜的物理参数化方案的结论可能存在区域差异。因此，本数据集旨在推动针对撒哈拉以南非洲北部特定（子）区域的气候模拟或后续影响研究的自主性能评估工作开展。基于此，本数据集提供了该物理参数化集合模拟试验（即2006-2010年的16组试验）中选取的气候地表变量。 如需了解试验设置的更多细节，请参阅：Laux等人，2021年：《面向撒哈拉以南非洲北部的高分辨率区域气候模型物理参数化集合研究》，《Frontiers in Earth Science》（修回中）。