Publicação: Climate projections of precipitation and temperature in the Metropolitan Region of Vale do Paraíba-SP simulated by climate models from CMIP6
dc.contributor.author | Bosco, Ricardo Brambila [UNESP] | |
dc.contributor.author | Valverde, María Cleofé | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.contributor.institution | Universidade Federal do ABC (UFABC) | |
dc.date.accessioned | 2023-03-01T20:10:53Z | |
dc.date.available | 2023-03-01T20:10:53Z | |
dc.date.issued | 2022-01-01 | |
dc.description.abstract | This work aimed to investigate the temperature and precipitation changes simulated by CMIP6 high-resolution climate models (CNRM-CM6-1-HR, EC-EARTH3 and MPI-ESM1-HR) for two emission scenarios (SSP2 4.5, SSP5 8.5) in the Metropolitan Region of Vale do Paraíba in the State of São Paulo. The region was divided into four sub-regions: Sub-region 1 – São José dos Campos, Sub-region 2 – Taubaté, Sub-region 3 – Guaratinguetá and Sub-region 4 – Cruzeiro. Based on the observed data (1961-2014), Sub-region 1 was the hottest and least rainy concerning the other sub-regions. According to the Man-Kendall test, the interannual variability of precipitation and temperature showed, for the four sub-regions, significant trends of decrease and increased, respectively. For future projections, there was consensus in the climate models used, for significant trends in temperature increase, considering the period 2015-2100, similar to that observed. Sub-region 3 – Guaratinguetá should present the most significant warming of 4.8°C, concerning the simulated climatology, for the most extreme scenario SSP5 8.5. About precipitation, was no consensus by the models, and only the MPI-ESM1-HR model showed a significant tendency to increase in the period 2041-2070, in Sub-regions 1 and 4 and for the SSP2 4.5 scenario. As for the SSP5 8.5 scenario, the significant increasing trends were only for 2071-2100 and sub-regions 1, 3, and 4. It is noteworthy that the simulation of precipitation is still a considerable challenge uncertainty is high, and validation of climate models is always recommended. | en |
dc.description.affiliation | Instituto de Ciência e Tecnologia Universidade Estadual de São Paulo Centro Nacional de Monitoramento e Alertas de Desastres Naturais (UNESP/CEMADEN) | |
dc.description.affiliation | Centro de Engenharia Modelagem e Ciências Sociais Aplicadas Universidade Federal do ABC (UFABC) | |
dc.description.affiliationUnesp | Instituto de Ciência e Tecnologia Universidade Estadual de São Paulo Centro Nacional de Monitoramento e Alertas de Desastres Naturais (UNESP/CEMADEN) | |
dc.format.extent | 1621-1638 | |
dc.identifier | http://dx.doi.org/10.26848/rbgf.v15.3.p1621-1638 | |
dc.identifier.citation | Revista Brasileira de Geografia Fisica, v. 15, n. 3, p. 1621-1638, 2022. | |
dc.identifier.doi | 10.26848/rbgf.v15.3.p1621-1638 | |
dc.identifier.issn | 1984-2295 | |
dc.identifier.scopus | 2-s2.0-85132417197 | |
dc.identifier.uri | http://hdl.handle.net/11449/240299 | |
dc.language.iso | por | |
dc.relation.ispartof | Revista Brasileira de Geografia Fisica | |
dc.source | Scopus | |
dc.subject | Climate change | |
dc.subject | CMIP6 | |
dc.subject | Extremes | |
dc.subject | Metropolitan Region of Vale do Paraíba | |
dc.title | Climate projections of precipitation and temperature in the Metropolitan Region of Vale do Paraíba-SP simulated by climate models from CMIP6 | en |
dc.title | Projeções climáticas de precipitação e temperatura na Região Metropolitana do Vale do Paraíba – SP simulados por modelos climáticos do CMIP6 | pt |
dc.type | Artigo | |
dspace.entity.type | Publication | |
unesp.author.orcid | 0000-0002-4489-7150[1] | |
unesp.author.orcid | 0000-0003-1439-5325[2] |