Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Weber A. Gonçalves"'
Autor:
DANIELE T. RODRIGUES, WEBER A. GONÇALVES, CLÁUDIO MOISÉS S. E SILVA, MARIA HELENA C. SPYRIDES, PAULO SÉRGIO LÚCIO
Publikováno v:
Anais da Academia Brasileira de Ciências, Vol 95, Iss 2 (2023)
Abstract This article evaluates four statistical methods of multiple imputation to fill in the missing data of daily precipitation in Northeast Brazil (NEB). We used a daily database collected by 94 rain gauges distributed in NEB from January 1, 1986
Externí odkaz:
https://doaj.org/article/cbb0532cb0ae4a39a87dea866979efad
Autor:
Gabriel B. Costa, Cláudio M. Santos e Silva, Keila R. Mendes, José G. M. dos Santos, Theomar T. A. T. Neves, Alex S. Silva, Thiago R. Rodrigues, Jonh B. Silva, Higo J. Dalmagro, Pedro R. Mutti, Hildo G. G. C. Nunes, Lucas V. Peres, Raoni A. S. Santana, Losany B. Viana, Gabriele V. Almeida, Bergson G. Bezerra, Thiago V. Marques, Rosaria R. Ferreira, Cristiano P. Oliveira, Weber A. Gonçalves, Suany Campos, Maria U. G. Andrade
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3241 (2022)
The analysis of gross primary production (GPP) is crucial to better understand CO2 exchanges between terrestrial ecosystems and the atmosphere, while the quantification of water-use efficiency (WUE) allows for the estimation of the compensation betwe
Externí odkaz:
https://doaj.org/article/51a28c791b904ed99225df5ada79f145
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 93, Iss , Pp 102195- (2020)
The Northeast region of Brazil (NEB) concentrates on average 18 % of the total deaths associated with lightning strikes in Brazil. When considering population, the state of Piauí had the highest mortality rate in the region (1.8 deaths million−1),
Externí odkaz:
https://doaj.org/article/62074d07fb394fa5a7f4bb4d68c19b5a
Autor:
Gabriel Brito Costa, Keila Rêgo Mendes, Losany Branches Viana, Gabriele Vieira Almeida, Pedro Rodrigues Mutti, Cláudio Moisés Santos e Silva, Bergson Guedes Bezerra, Thiago Valentim Marques, Rosária Rodrigues Ferreira, Cristiano Prestelo Oliveira, Weber Andrade Gonçalves, Pablo Eli Oliveira, Suany Campos, Maria Uilhiana Gomes Andrade, Antônio Celso Dantas Antonino, Rômulo Simões Cézar Menezes
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3955 (2022)
The Caatinga dry forest encompasses 11% of the total continental territory of Brazil. Nevertheless, most research on the relationship between phenology and ecosystem productivity of Brazilian tropical forests is aimed at the Amazon basin. Thus, in th
Externí odkaz:
https://doaj.org/article/8ade33186112444d8dcdf00bc8b2ac7c
Publikováno v:
Atmosphere; Volume 13; Issue 11; Pages: 1886
This study evaluated the atmospheric pattern precursors to the occurrence of natural disasters (ND) in the southern region of Brazil (SRB) due to the passage of frontal systems (FS). The results can be used as prognostics to assist in risk management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12b904df5e66b3bc6a2a3e30ed58bd57
Autor:
Helder José Farias da Silva, Weber Andrade Gonçalves, Bergson Guedes Bezerra, Cláudio Moisés Santos e Silva, Cristiano Prestrelo de Oliveira, Pedro Rodrigues Mutti
Publikováno v:
Remote Sensing; Volume 14; Issue 21; Pages: 5353
Studies have shown that deforestation can cause changes in energy, moisture, and precipitation flows, with implications for local and regional climate. These studies generally focus on understanding how the hydrological cycle is impacted by deforesta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baa60344c3dadb0d3bead5470b96998d
Publikováno v:
Climate Dynamics. 57:3413-3431
The purpose of this study is to analyze the dynamic/thermodynamic features of the center and periphery of upper tropospheric cyclonic vortices (UTCV) in Northeast Brazil (NEB). An algorithm was developed to identify the vortex climatology using ERA-I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69866d63713a812b74fdbd670460cf2a
https://doi.org/10.1007/s00382-021-05873-y
https://doi.org/10.1007/s00382-021-05873-y
Autor:
Cláudio M. Santos e Silva, Bergson Guedes Bezerra, Pedro Rodrigues Mutti, Paulo Sergio Lucio, Keila Rêgo Mendes, Daniele Rodrigues, Cristiano Prestrelo Oliveira, Felipe Medeiros, Maria Leidinice Silva, Layara Campelo dos Reis, Glayson Francisco Bezerra das Chagas, Weber Andrade Gonçalves, Lara de Melo Barbosa Andrade
Publikováno v:
ECAS 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7e278ff879f5bef5111516db4f3efb
https://doi.org/10.3390/ecas2022-12821
https://doi.org/10.3390/ecas2022-12821
Autor:
Suany Campos, Nikolai S. Espinoza, Thiago V. Marques, Cláudio Moisés Santos e Silva, Keila R. Mendes, Weber Andrade Gonçalves, Gelson dos Santos Difante, Cristiano Prestrelo de Oliveira, Rosaria R. Ferreira, Bergson Guedes Bezerra, Pedro Rodrigues Mutti, Stella A. Urbano
Publikováno v:
Remote Sensing Letters. 12:50-57
This research aims to provide a brief evaluation of remotely sensed estimates in representing gross primary production (GPP) over pasture in the Northeast Region of Brazil. We used GPP data measure...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2426a531b04407416e4038b1c3da9d
https://doi.org/10.1080/2150704x.2021.1875144
https://doi.org/10.1080/2150704x.2021.1875144
Autor:
Suany Campos, Keila R. Mendes, Weber Andrade Gonçalves, Gelson dos Santos Difante, Bergson Guedes Bezerra, Leonardo Lima Fernandes, Pedro Rodrigues Mutti, Stella A. Urbano, Cristiano Prestrelo de Oliveira, Rosaria R. Ferreira, Thiago V. Marques, Cláudio Moisés Santos e Silva, Jonathan Mota
Publikováno v:
International Journal of Remote Sensing. 42:1275-1291
Studying the dynamics of gross primary production (GPP) in seasonally dry tropical forests is of fundamental importance to understand the carbon dioxide (CO2) balance in this ecosystem, helping mit...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d17c2a72561d0c769755b5e8119016
https://doi.org/10.1080/01431161.2020.1826063
https://doi.org/10.1080/01431161.2020.1826063