CV Lattes
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Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). Instituto Nacional de Pesquisas Espaciais (INPE) (Institutional affiliation for the last research proposal) Birthplace: China
Graduated in Meteorology from the Federal University of Rio de Janeiro (1985), Master in Meteorology from the National Institute for Space Research (1990) and PhD in Meteorology from the University of Reading, Great Britain (1993). Currently, is the Head of the Earth System Numerical Modeling Division and Academic Coordinator of the Graduate Program in Meteorology of the National Institute for Space Research (INPE). Senior research scientis. Expertise on regional atmospheric Modeling, with emphasis on the topics: Eta model Development, weather forecast, limited area modeling, cumulus convection parameterization, model evaluation, regional climate modeling, production of climate change scenarios over South America, climate change, climate services. Lecturer in two graduate programs in meteorology, at INPE and UFRJ. Leads research projects on regional modeling and applications. Lead author of Chapter 9 of the Working Group 1 (Working Group 1) of the IPCC AR5. Co- coordinatior of Chapter 8 of working group 1 of the first Brazilian National Assessment Report (RAN1) of the Brazilian Panel on Climate Change (PBMC) in 2011. He coordinated the production of the downscaling of climate change scenarios in Brazil to support the Brazilian Third National Communication UNFCCC and Brasil 2040 project. Participated on the preparation of the Report on Impact, vulnerability, and adaptation of the Brazilian coastal cities to climate change edited by PBMC in 2017. (Source: Lattes Curriculum)
This proposal covers the thematic topic of "Environment" and sub-topic of "Management of conservation areas". Extreme hydrological events have been recorded in recent years in the western portion of the Amazon basin. The 2014 flood case, for example, produced floods and landslides in several towns and communities in the Madeira River basin, especially those located in the Sustainable Deve…
The INCT Climate Change aims to implement and develop a comprehensive network of interdisciplinary research on global change and sustainability, and is based on the cooperation between about 30 research groups from all regions of Brazil and 10 international research groups, involving in its entirety over approximately 300 researchers, students and technicians and establishing itself as on…
How decision makers and the public perceive and respond to potential local impacts of large-scale change, including economic and health risks, depends on social, cultural and political context and on how scientific evidence is presented. This proposal focuses on identifying the factors that facilitate a shift in knowledge, attitudes, values and decision making about local climate risks an…
The Serra do Mar is a region of strategic importance to the State of São Paulo, both, for the sustainable development, due the remaining portions of the Mata Atlântica (the native forest), and for the economic development due to the railways, highways, fuel pipelines and the industrial and parI installations. However, this region suffer from frequent landslides which cause several materia…
The process of occupation of land use in the Amazonia has resulted in a high fragmentation of the landscape in the last decades, resulting in changes in the local and regional climate. The Amazonia has an important role in the moisture transport that influences precipitation over La Plata River Basin (BRP). Therefore, it is interesting to know the potential effects that the land use and l…
This project aims to assess the influence of climate change on the major Brazilian biomes: the Amazon, the Cerrado and the Atlantic Forest. The analysis will be carried out from the global climate change scenarios, at different emission levels, downscaled to the continental and local scale, using a regional climatic model coupled to a dynamic vegetation model. The regional model will be s…
Brazil holds the major share in coffee world market, ranging from 30% to 39% of the overall production. That fruit - a grain - plays a social role since it maintains the workforce in rural areas, the coffee agribusiness generates above 8 millions of jobs. The Arabica species - the most cultivated grain - requires annual temperatures around 18oC - 22 oC. It is worrying the susceptibility …
| 2 / 2 | Ongoing research grants |
| 4 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 2 / 2 | Completed scholarships in Brazil |
| 9 / 8 | All research grants and scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 6 |
| Citations | 27 |
| Cit./Article | 4.5 |
| Data from Web of Science | |
KRUK, NADIANE SMAHA; VENDRAME, IRIA FERNANDES; CHOU, SIN CHAN. Coupling a Mesoscale Atmospheric Model with a Distributed Hydrological Model Applied to a Watershed in Southeast Brazil. JOURNAL OF HYDROLOGIC ENGINEERING, v. 18, n. 1, p. 58-65, JAN 2013. Web of Science Citations: 3. (04/09649-0)
TAVARES, PRISCILA DA SILVA; GIAROLLA, ANGELICA; CHOU, SIN CHAN; DE PAULA SILVA, ADAN JULIANO; LYRA, ANDRE DE ARRUDA. Climate change impact on the potential yield of Arabica coffee in southeast Brazil. Regional Environmental Change, v. 18, n. 3, p. 873-883, MAR 2018. Web of Science Citations: 5. (14/00192-0)
DERECZYNSKI, CLAUDINE; CHOU, SIN CHAN; LYRA, ANDRE; SONDERMANN, MARCELY; REGOTO, PEDRO; TAVARES, PRISCILA; CHAGAS, DIEGO; GOMES, JORGE LUIS; RODRIGUES, DANIELA CARNEIRO; DE LOS MILAGROS SKANSI, MARIA. Downscaling of climate extremes over South America - Part I: Model evaluation in the reference climate. WEATHER AND CLIMATE EXTREMES, v. 29, SEP 2020. Web of Science Citations: 0. (14/00192-0)
LYRA, ANDRE; TAVARES, PRISCILA; CHOU, SIN CHAN; SUEIRO, GUSTAVO; DERECZYNSKI, CLAUDINE; SONDERMANN, MARCELY; SILVA, ADAN; MARENGO, JOSE; GIAROLLA, ANGELICA. Climate change projections over three metropolitan regions in Southeast Brazil using the non-hydrostatic Eta regional climate model at 5-km resolution. THEORETICAL AND APPLIED CLIMATOLOGY, v. 132, n. 1-2, p. 663-682, APR 2018. Web of Science Citations: 5. (14/00192-0, 12/51876-0)
FERNANDA CERQUEIRA VASCONCELLOS; IRACEMA FONSECA DE ALBUQUERQUE CAVALCANTI. Uma avaliação das previsões do modelo regional eta em alta resolução para dois casos de chuva intensa ocorridos na região da Serra do Mar. Revista Brasileira de Meteorologia, v. 25, n. 4, p. 501-512, Dez. 2010. (04/09649-0)
BUSTAMANTE, JOSIANE F.; CHOU, SIN CHAN. Impact of including moisture perturbations on short-range ensemble forecasts. JOURNAL OF GEOPHYSICAL RESEARCH, v. 114, OCT 28 2009. Web of Science Citations: 2. (04/09649-0)
GOMES, JORGE LUIS; CHOU, SIN CHAN. Dependence of partitioning of model implicit and explicit precipitation on horizontal resolution. METEOROLOGY AND ATMOSPHERIC PHYSICS, v. 106, n. 1-2, p. 1-18, FEB 2010. Web of Science Citations: 12. (04/09649-0)