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Journal ArticleDOI

Skill of CMIP5 climate models in reproducing 20th century basic climate features in Central America

Hugo G. Hidalgo, +1 more
- 01 Oct 2015 - 
- Vol. 35, Iss: 12, pp 3397-3421
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TLDR
A total of 107 climate runs from 48 Coupled Model Intercomparison Project 5 (CMIP5) general circulation models (GCMs) were evaluated for their ability to skillfully reproduce basic characteristics of late 20th century climate over Central America as discussed by the authors.
Abstract
A total of 107 climate runs from 48 Coupled Model Inter-comparison Project 5 (CMIP5) general circulation models (GCMs) were evaluated for their ability to skillfully reproduce basic characteristics of late 20th century climate over Central America. The models were ranked according to metrics that take into consideration the mean and standard deviation of precipitation (pr) and surface temperature (tas), as well as the El Nino-Southern Oscillation (ENSO)-pr teleconnection. Verification was performed by comparing model runs to observations and a reanalysis dataset. Based on the rankings, the best 13 models were further evaluated. Not surprisingly, the models showed better skill at reproducing mean tas patterns throughout the year. The skill is generally low for mean pr patterns, except for some models during March, April, and May. With a few exceptions, the skill was low for reproducing the observed monthly standard deviation patterns for both pr and tas. The ENSO-pr teleconnection was better simulated in the best 13 model runs compared to the sea-surface temperature global pattern characteristic of ENSO which showed low skill. The Inter-tropical Convergence Zone (ITCZ) appeared better modeled in July than in January. In January, there were instances of a double ITCZ pattern. Some models skillfully reproduced the seasonal distribution of the Caribbean Low-Level Jet index (CLLJ). More detailed research evaluating the specific performance of the models on a variety of time-scales and using parameters relevant to these and other climatic features of Central America is needed. This study facilitates a pre-selection of models that may be useful for this task.

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Citations
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Skill and independence weighting for multi-model assessments

TL;DR: In this paper, the authors present a weighting strategy for use with the CMIP5 multi-model archive in the fourth National Climate Assessment, which considers both skill in the climatological performance of models over North America as well as the interdependency of models arising from common parameterizations or tuning practices.
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Observed (1970–1999) climate variability in Central America using a high-resolution meteorological dataset with implication to climate change studies

TL;DR: In this article, a high-resolution (5 km grid) dataset of precipitation (P) and average air temperature (Tavg) for Central America from 1970 to 1999 was used to study climate variability and a climate change application.
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Future climate change scenarios in Central America at high spatial resolution

TL;DR: Assessment of the downscaling projections of climate change over Central America at 8-km resolution using the Eta Regional Climate Model, driven by the HadGEM2-ES simulations of RCP4.5 emission scenario suggests decreasing water availability in the future scenario.
References
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TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
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TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.
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