منابع مشابه
Systematic land climate and evapotranspiration biases in CMIP5 simulations
[1] Land climate is important for human population since it affects inhabited areas. Here we evaluate the realism of simulated evapotranspiration (ET), precipitation, and temperature in the CMIP5 multimodel ensemble on continental areas. For ET, a newly compiled synthesis data set prepared within the Global Energy and Water Cycle Experiment-sponsored LandFlux-EVAL project is used. The results r...
متن کاملLong‐lead ENSO predictability from CMIP5 decadal hindcasts
The limits for the predictability of the El Niño–Southern Oscillation (ENSO) have been long discussed. Even when ENSO prediction skill is expected to be limited, questions remain as to which are the controlling factors. The role of atmospheric noise for ENSO initiation, the growth of initial errors and inadequate models have been identified as key elements (e.g., Chen et al. 2004; Chen and Cane...
متن کاملSeasonal 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...
متن کاملA global perspective on CMIP5 climate model biases
The Intergovernmental Panel on Climate Change’s Fifth Assessment Report largely depends on simulations, predictions and projections by climate models1. Most models, however, have deficiencies and biases that raise large uncertainties in their products. Over the past several decades, a tremendous e ort has been made to improve model performance in the simulation of special regions and aspects of...
متن کاملThe Interpretation and Use of Biases in Decadal Climate Predictions
Decadal climate predictions exhibit large biases, which are often subtracted and forgotten. However, understanding the causes of bias is essential to guide efforts to improve prediction systems, and may offer additional benefits. Here the origins of biases in decadal predictions are investigated, including whether analysis of these biases might provide useful information. The focus is especiall...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research: Atmospheres
سال: 2016
ISSN: 2169-897X,2169-8996
DOI: 10.1002/2016jd024804