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Development of quantifiers through Information Theory techniques and probabilistic graphical models with application in the Amazon Region

Grant number: 15/07373-2
Support type:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): August 01, 2015
Effective date (End): July 22, 2016
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Elbert Einstein Nehrer Macau
Grantee:Antônio Mário de Torres Ramos
Supervisor abroad: Jürgen Kurths
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Local de pesquisa : Potsdam Institute for Climate Impact Research, Germany  
Associated to the scholarship:14/14229-2 - Non-linear and chaotic dynamics with spatial distribution and their characterization by using the complex network approach, BP.PD

Abstract

The objective of this project is to implement and develop the methodology, initially built within the scope of the project 2014 / 14229-2, in order to establish and characterize the complex network of climate interaction between the Amazon region and its possible influence systems. The improvement of the investigative framework will allow to quantify the recent anomalous behavior related to precipitation in the Amazon and Southeast of Brazil, as well as provide a tool for characterizing and understanding the underlying dynamics governing these phenomena. The complex network will be built using tools that are state of the art in information theory techniques and probabilistic graphical models. The realization of this project will help to understand the non-linear and chaotic dynamics with spatial distribution described in the project 2014 / 14229-2. To achieve this goal we rely on the expertise of the researchers of the institution to be visited, which is our partner in the thematic project 2011 / 50151-0. (AU)

Scientific publications (5)
(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)
RAMOS, ANTNIO M. DE T.; ZOU, YONG; DE OLIVEIRA, GILVAN SAMPAIO; KURTHS, JURGEN; MACAU, ELBERT E. N. Unveiling non-stationary coupling between Amazon and ocean during recent extreme events. Climate Dynamics, v. 50, n. 3-4, p. 767-776, FEB 2018. Web of Science Citations: 3.
GUO, HENG; RAMOS, ANTOANIO M. T.; MACAU, ELBERT E. N.; ZOU, YONG; GUAN, SHUGUANG. Constructing regional climate networks in the Amazonia during recent drought events. PLoS One, v. 12, n. 10 OCT 17 2017. Web of Science Citations: 0.
RAMOS, ANTONIO M. T.; BUILES-JARAMILLO, ALEJANDRO; POVEDA, GERMAN; GOSWAMI, BEDARTHA; MACAU, ELBERT E. N.; KURTHS, JUERGEN; MARWAN, NORBERT. Recurrence measure of conditional dependence and applications. Physical Review E, v. 95, n. 5 MAY 11 2017. Web of Science Citations: 7.
RAMOS, ANTONIO M. T.; MACAU, ELBERT E. N. Minimum Sample Size for Reliable Causal Inference Using Transfer Entropy. Entropy, v. 19, n. 4 APR 2017. Web of Science Citations: 1.
RAMOS, ANTONIO M. T.; CARVALHO, J. A.; VASCONCELOS, G. L. Exponential model for option prices: Application to the Brazilian market. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 445, p. 161-168, MAR 1 2016. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.