Using climate change models to assess the probability of weather extremes events: a local scale study based on the generalized extreme value distribution-Reference-Cited by-同舟云学术

Using climate change models to assess the probability of weather extremes events: a local scale study based on the generalized extreme value distribution

Published:2019-03 Issue:1 Volume:78 Page:146-157
ISSN:1678-4499
Container-title:Bragantia
language:
Short-container-title:Bragantia

Author:

Fontolan Mariana¹^ORCID,Xavier Ana Carolina Freitas¹^ORCID,Pereira Heloisa Ramos¹^ORCID,Blain Gabriel Constantino¹^ORCID

Affiliation:

1. Instituto Agronômico, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

General Agricultural and Biological Sciences,Materials Science (miscellaneous)

Link

http://www.scielo.br/pdf/brag/v78n1/0006-8705-brag-1678-44992018144.pdf

Reference58 articles.

1. Global observed changes in daily climate extremes of temperature and precipitation;Alexer L. V;Journal of Geophysical Research,2006

2. A test of goodness of fit;Anderson T. W.;Journal of the American statistical association,1954

3. Downscaling precipitation using regional climate models and circulation patterns toward hydrology;Bárdossy A.;Water Resources Research,2011

4. A new convective adjustment scheme. Part II: single column tests using GATE wave, BOMEX, ATEX and Arctic air-mass data sets;Betts A.K.;Quarterly Journal of the Royal Meteorological Society,1986

5. Standardized precipitation index based on Pearson type III distribution;Blain G. C.;Revista Brasileira de Meteorologia,2011

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