Regional, Very Heavy Daily Precipitation in CMIP5 Simulations

Seasonal and regional biases in CMIP5 precipitation simulations

This study provides insight into how CMIP5 climate models perform in simulating summer and winter precipitation at different geographical locations and climate conditions. Precipitation biases in the CMIP5 historical (1901 to 2005) simulations relative to the Climatic Research Unit (CRU) observations are evaluated over 8 regions exhibiting distinct seasonal hydroclimates: moist tropical (Amazon...

Precipitation scaling with temperature in warm and cold climates: an analysis of CMIP5 simulations

Precipitation bias correction of very high resolution regional climate models

Regional climate models are prone to biases in precipitation that are problematic for use in impact models such as hydrology models. A large number of methods have already been proposed aimed at correcting various moments of the rainfall distribution. They all require that the model produce the same or a higher number of rain days than the observational data sets, which are usually gridded data...

Evaluation of CMIP5 continental precipitation simulations relative to satellitebased gaugeadjusted observations

The objective of this study is to cross-validate 34 Coupled Model Intercomparison Project Phase 5 (CMIP5) historical simulations of precipitation against the Global Precipitation Climatology Project (GPCP) data, quantifying model pattern discrepancies, and biases for both entire distributions and their upper tails. The results of the volumetric hit index (VHI) analysis of the total monthly prec...

Multi-Model Assessment of Regional Surface Temperature Trends: CMIP3 and CMIP5 20 th Century Simulations

Regional surface temperature trends from the CMIP3 and CMIP5 20 th century runs are compared with observations -at spatial scales ranging from global averages to individual grid points -using simulated intrinsic climate variability from pre-industrial control runs to assess whether observed trends are detectable and/or consistent with the models’ historical run trends. The CMIP5 models are also...