@Article{CoelhoBSKSGFBSKCWHZJ:2022:PeAdCl,
               author = "Coelho, Caio Augusto dos Santos and Baker, Jessica C. A. and 
                         Spracklen, Dominick V. and Kubota, Paulo Yoshio and Souza, Dayana 
                         Castilho de and Guimar{\~a}es, Bruno dos Santos and Figueroa, 
                         Silvio Nilo and Bonatti, Jos{\'e} Paulo and Sampaio, Gilvan and 
                         Klingaman, Nicholas P. and Chevuturi, Amulya and Woolnough, Steven 
                         J. and Hart, Neil and Zilli, Marcia and Jones, Chris D.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Leeds} and {University of Leeds} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University of 
                         Reading} and {University of Reading} and {University of Reading} 
                         and {University of Oxford} and {University of Oxford} and {UK Met 
                         Office}",
                title = "A perspective for advancing climate prediction services in 
                         Brazil",
              journal = "Climate Resilience and Sustainability",
                 year = "2022",
               volume = "1",
                pages = "e29",
             keywords = "climate modeling, climate projections, climate science, climate 
                         services, climate simulations,seasonal prediction, subseasonal 
                         prediction.",
             abstract = "
                         TheClimateScienceforServicePartnershipBrazil(CSSP-Brazil)projectprovidesBrazil 
                         and UK partners the opportunity to address important challenges 
                         facedby the climate modeling community, including the need to 
                         develop subseasonaland seasonal prediction and climate projection 
                         services. This paper provides anoverview of the climate modeling 
                         and prediction research conducted throughCSSP-Brazil within the 
                         context of a framework to advance climate predictionservices in 
                         Brazil that includes a research-to-services (R2S) and a 
                         services-to-research (S2R) feedback pathway. The paper also 
                         highlights plans to advancescientific understanding and capability 
                         to produce beneficial climate knowledgeand new products to improve 
                         climate prediction services to support decisionsin various 
                         industries in Brazil. Policy-relevant outcomes from climate 
                         model-ing and prediction exercises illustrated in this paper 
                         include supporting stake-holders with climate information provided 
                         from weeks to months ahead for (a)improving water management 
                         strategies for human consumption, navigation,and agricultural and 
                         electricity production; (b) defining crop variety and 
                         calen-darsforfoodproduction;and(c)diversifyingenergyproductionwithalternativesto 
                         hydropower.",
                  doi = "10.1002/cli2.29",
                  url = "http://dx.doi.org/10.1002/cli2.29",
                 issn = "2692-4587",
                label = "lattes: 4978912302419377 1 CoelhoBSKSGFBSKCWHZJ:2022:PeAdCl",
             language = "en",
           targetfile = "Climate Resilience - 2022 - Coelho - A perspective for advancing 
                         climate prediction services in Brazil.pdf",
        urlaccessdate = "25 jun. 2024"
}