Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Gyrlene Aparecida Mendes da Silva"'
Autor:
Amanda Rehbein, Lívia Márcia Mosso Dutra, Tercio Ambrizzi, Rosmeri Porfírio da Rocha, Michelle Simões Reboita, Gyrlene Aparecida Mendes da Silva, Luiz Felippe Gozzo, Ana Carolina Nóbile Tomaziello, José Leandro Pereira Silveira Campos, Victor Raul Chavez Mayta, Natália Machado Crespo, Paola Gimenes Bueno, Vannia Jaqueline Aliaga Nestares, Laís Tabosa Machado, Eduardo Marcos De Jesus, Luana Albertani Pampuch, Maria de Souza Custódio, Camila Bertoletti Carpenedo
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Southeastern Brazil is the most populated and economically developed region of this country. Its climate consists of two distinct seasons: the dry season, extending from April to September, the precipitation is significantly reduced in comparison to
Externí odkaz:
https://doaj.org/article/2a9407ec7edd41d19845dd4726db23a1
Publikováno v:
Frontiers in Environmental Science, Vol 3 (2015)
The ability of the Artificial Neural Network (ANN) and the Multiple Linear Regression (MLR) in reproducing the area-average observed daily precipitation during the rainy season (Feb-Mar-Apr) over the north of the Northeast of Brazil (NEB) is examined
Externí odkaz:
https://doaj.org/article/454048d534af4707ac15ff38b5d9253f
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Neste trabalho foi investigado o impacto da evolução dos eventos El Niño (EN) de acordo com as fases distintas da Oscilação Decadal do Pacífico (positiva, ODP(+) e negativa, ODP(-)) nas mudanças no transporte de umidade sobre o Sudeste da Amé
Autor:
Sergio Ibarra-Espinosa, Gyrlene Aparecida Mendes da Silva, Amanda Rehbein, Angel Vara-Vela, Edmilson Dias de Freitas
Publikováno v:
Environmental Science: Atmospheres. 2:215-229
Air pollutants reach high concentrations in developing countries, such as Brazil.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d191ecce65145220ae6533a9819c3964
https://doi.org/10.1039/d1ea00080b
https://doi.org/10.1039/d1ea00080b
Autor:
Lourdes Milagros Mendoza Villavicencio, David Mendes, Gyrlene Aparecida Mendes da Silva, Lara de Melo Barbosa Andrade, Felipe Ferreira Monteiro
Publikováno v:
Remote Sensing Letters. 12:353-363
In comparison with many remote parts of the Earth, the watershed Sibinacocha Lake is poorly studied region and the various types of life that habit this region are highly dependent on the waters of...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ceea2f39cdb04b384a23e06e9bb6a5a7
https://doi.org/10.1080/2150704x.2020.1868603
https://doi.org/10.1080/2150704x.2020.1868603
Autor:
Gyrlene Aparecida Mendes da Silva, Gilberto Pessanha Ribeiro, Carlos Conforti Ferreira Guedes, Mayara Santana Silva
Publikováno v:
Ocean and Coastal Research, Volume: 69, Article number: e21004, Published: 09 APR 2021
The Cananeia-Iguape lagoon-estuarine system, where the Ilha Comprida barrier (IC) is located, is one of the most dynamic coastal areas on the southeastern Brazilian coast. IC island is a 63 km-long barrier and it is limited by the Icapara inlet to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::023bd58af20d22ef80bfefdf71fffb6f
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2675-28242021000100301&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2675-28242021000100301&lng=en&tlng=en
Autor:
David Mendes, Tércio Ambrizzi, Camila de Souza Cardoso, Helber Barros Gomes, Gyrlene Aparecida Mendes da Silva, Caio Pereira de Souza
Publikováno v:
Revista Brasileira de Geografia Física. 14:3008
Uma abordagem mais didatica foi aplicada na deteccao e atribuicao das anomalias anuais dos indices de extremos de chuva (R99p, CWD, CDD) e de temperaturas maxima (TXx, WSDI) e minima (TNn, CSDI) sobre o litoral centro-norte do Estado de Sao Paulo dur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f99a7d752c9617e1262e540e97023e
https://doi.org/10.26848/rbgf.v14.5.p3008-3043
https://doi.org/10.26848/rbgf.v14.5.p3008-3043
Autor:
José Leandro Pereira Silveira Campos, Luiz Felippe Gozzo, Michelle Simões Reboita, Luana Albertani Pampuch, Laís Tabosa Machado, Camila Bertoletti Carpenedo, Paola Gimenes Bueno, Gyrlene Aparecida Mendes da Silva, Ana Carolina Nóbile Tomaziello, Maria de Souza Custodio, Lívia Márcia Mosso Dutra, Victor C. Mayta, Amanda Rehbein, Natália Machado Crespo, Eduardo Marcos de Jesus, Vannia Jaqueline Aliaga Nestares, Tércio Ambrizzi, Rosmeri Porfírio da Rocha
Publikováno v:
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Advances in Meteorology, Vol 2018 (2018)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Advances in Meteorology, Vol 2018 (2018)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Made available in DSpace on 2018-11-26T17:52:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-01-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Sout
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99083987ec535c1b60d21701150069a4
Autor:
Gyrlene Aparecida Mendes da Silva, Tércio Ambrizzi, Erico Augusto Leiva, Rosmeri Porfírio da Rocha, Lívia Márcia Mosso Dutra
Publikováno v:
Advances in Meteorology, Vol 2014 (2014)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The representation of the CFSv2 ocean-atmosphere ensemble hindcasts is investigated during Dec-Jan-Feb (DJF) and Jun-Jul-Aug (JJA) from 1983 to 2010. The skill anomaly correlations showed that in some continents the forecasts do not have dependency w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1484bd2944dad1db3e052338b0e64bc3
https://doi.org/10.1155/2014/695067
https://doi.org/10.1155/2014/695067
Publikováno v:
Advances in Geosciences, Vol 35, Pp 79-88 (2013)
An Artificial Neural Networks (ANNs) approach was used to reproduce the precipitation anomalies for the rainy seasons over the south and north parts of the Northeast of Brazil (NEB) during 1982–2009 period. The seasonal hindcasts of precipitation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e405378a38976a1983509dec65f4fc
https://doi.org/10.5194/adgeo-35-79-2013
https://doi.org/10.5194/adgeo-35-79-2013