Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Representation of precipitation extreme events over amazon in high resolution climate models - part I: Interannual variability

Authors: de Souza Custodio, Maria; Gozzo, Luiz Felippe; Machado, Jeferson Prietsch;

Representation of precipitation extreme events over amazon in high resolution climate models - part I: Interannual variability

Abstract

The purpose of this study was to evaluate the performance of atmospheric and coupled simulations from the HadGEM1.2 models family in capturing the interannual variability signal of extreme precipitation events over the Amazon region. The spatial pattern and the thresholds of extreme events for two domains, North Amazon and Amazon (AMN and AMZ) were analyzed comparing the models and CMAP (ClimatePrediction Center - Merged Analysis of Precipitation) data. The composite analysis of precipitation anomalies in interannual scale for austral summer and winter showed, in general, that atmospheric and coupled simulations correctly represented the spatial pattern of such anomalies. Regarding the dry extremes, the spatial pattern was well represented. Overall, the spatial pattern of simulations presented smaller bias in wet extremes. The threshold analysis for wet and dry extremes showed that the simulations represented the interannual scale signal in both domains. The AMZ region presented a smaller bias between simulation and CMAP. Despite the differences, both simulations (atmospheric and coupled) presented similar patterns and therefore represent the interannual scale signal in the two Amazon subdomains.

Country
Brazil
Keywords

Extremes, Precipitation, 910, Amazon

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green