资源环境科技发展态势分析平台

This study is aimed to assess the added value of Regional Climate Models (RCMs) with respect to their driving Global Climate Models (GCMs) focused on the behavior of precipitation over South America (SA) at different temporal scales. RCMs from the CORDEX experiments available for the South American domain at 0.44 degrees resolution were used together with their driving GCMs from the Coupled Models Intercomparison Project (CMIP5) dataset for the period 1979-2005. Observed data from the CPC-Global Unified Gauge-Based Analysis of Daily Precipitation was used to evaluate the simulations. Precipitation data were first filtered to retain the variability at the interannual, intraseasonal and synoptic timescales. Statistics of the daily precipitation data were also evaluated, including percentiles of light, moderate, heavy and extreme precipitation events. The added value was quantified in terms of two metrics accounting for the spatial distribution of the particular precipitation feature and the M-skill score, representing a measure of normalized square errors. Added value is strongly dependent on the RCM-GCM pair evaluated. RCMs with an overall good performance add value over their driving GCM for all metrics analyzed, from the climatological seasonal mean to the intensity of extreme events. The added value arises more clearly as long as the smaller the scale of the precipitation feature assessed is.