Reproducing spatial patterns of the climatological temperature sensitivity of soil carbon is a necessary condition for trustworthy simulations of the carbon - cycle — climate feedback.
The General Circulation Models (GCM) driving the regional models chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to
reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patterns.
Not exact matches
Presented by Norman Shippee at the American Meteorological Society's 97th Annual Meeting in January, 2017: CanSIPS
reproduces the overall
spatial pattern of cyclone track density found in ERA - Interim.
This study shows that the coupled climate models have mixed results in
reproducing the
spatial and temporal characteristics of major observed Pacific climate
patterns of variability (e.g., the Pacific Decadal Oscillation (PDO) and El Niño).
The annual cycle and
spatial patterns of extreme temperature indices are generally well
reproduced in both models but the magnitude varies.
Spatial trend
patterns differ for the warm and cold extremes, with the warm extremes showing continuous positive trends across the globe and the cold extremes exhibiting a coherent cooling
pattern across the Northern Hemisphere mid-latitudes that has emerged in the recent 15 years and is not
reproduced by the models.