Open AccessA perspective for advancing climate prediction services in Brazil
Author(s) -
Coelho Caio A. S.,
Baker Jessica C. A.,
Spracklen Dominick V.,
Kubota Paulo Y.,
Souza Dayana C.,
Guimarães Bruno S.,
Figueroa Silvio N.,
Bonatti José P.,
Sampaio Gilvan,
Klingaman Nicholas P.,
Chevuturi Amulya,
Woolnough Steven J.,
Hart Neil,
Zilli Marcia,
Jones Chris D.
Publication year - 2022
Publication title -
climate resilience and sustainability
Language(s) - English
Resource type - Journals
ISSN - 2692-4587
DOI - 10.1002/cli2.29
Subject(s) - context (archaeology) , general partnership , production (economics) , hydropower , business , service (business) , variety (cybernetics) , environmental resource management , climate change , environmental planning , agricultural productivity , consumption (sociology) , environmental economics , agriculture , computer science , environmental science , geography , engineering , economics , marketing , ecology , archaeology , finance , artificial intelligence , biology , electrical engineering , macroeconomics , social science , sociology
The Climate Science for Service Partnership Brazil (CSSP‐Brazil) project provides Brazil and UK partners the opportunity to address important challenges faced by the climate modeling community, including the need to develop subseasonal and seasonal prediction and climate projection services. This paper provides an overview of the climate modeling and prediction research conducted through CSSP‐Brazil within the context of a framework to advance climate prediction services in Brazil that includes a research‐to‐services (R2S) and a services‐to‐research (S2R) feedback pathway. The paper also highlights plans to advance scientific understanding and capability to produce beneficial climate knowledge and new products to improve climate prediction services to support decisions in various industries in Brazil. Policy‐relevant outcomes from climate modeling and prediction exercises illustrated in this paper include supporting stakeholders 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 calendars for food production; and (c) diversifying energy production with alternatives to hydropower.