Recently, a new high-resolution daily downscaled data-set derived from 21 CMIP5 model simulations has been released by NASA, called ‘NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP). In this study, the performance of this data-set in simulating precipitation extremes and long-term climate changes across China are evaluated and compared with CMIP5 GCMs. The results indicate that NEX-GDDP can successfully reproduce the spatial patterns of precipitation extremes over China, showing results that are much closer to observations than the GCMs, with increased Pearson correlation coefficients and decreased model relative error for most models. Furthermore, NEX-GDDP shows that precipitation extremes are projected to occur more frequently, with increased intensity, across China in the future. Especially at regional to local scales, more information for the projection of future changes in precipitation extremes can be obtained from this high-resolution data-set. Most importantly, the uncertainties of these projections at the regional scale present significant decreases compared with the GCMs, making the projections by NEX-GDDP much more reliable. Therefore, the authors believe that this high-resolution data-set will be popular and widely used in the future, particularly for climate change impact studies in areas where a finer scale is required.
Chen Huopo, Sun Jianqi, and Li Huixin, 2017: Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set, Atmospheric and Oceanic Science Letters, DOI: 10.1080/16742834.2017.1367625.
Figure: Comparison of projected precipitation extreme (rx5d) changes over three key regions: Jing-Jin-Ji (JJJ), Yangtze River Delta (YRD), and Pearl River Delta (PRD) in China, estimated from the RCP4.5 scenario. Note: The bottom panel shows the inter-model spreads for the projected changes of rx5d for the future years estimated from CMIP5 GCMs (dotted line) and NEXGDDP (solid line).