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Giovanni Dolif Neto
Giovanni Dolif Neto
Researcher, CEMADEN-MCTI, Brazil
E-mail confirmado em cemaden.gov.br - Página inicial
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Extreme rainfall and its impacts in the Brazilian Minas Gerais state in January 2020: Can we blame climate change?
R Dalagnol, CB Gramcianinov, NM Crespo, R Luiz, JB Chiquetto, ...
Climate Resilience and Sustainability 1 (1), e15, 2022
512022
Flash floods and landslides in the city of Recife, Northeast Brazil after heavy rain on May 25–28, 2022: Causes, impacts, and disaster preparedness
JA Marengo, E Alcantara, AP Cunha, M Seluchi, CA Nobre, G Dolif, ...
Weather and Climate Extremes 39, 100545, 2023
432023
Resilience and brittleness in the ALERTA RIO system: a field study about the decision-making of forecasters
G Dolif, A Engelbrecht, A Jatobá, AJD da Silva, JO Gomes, MRS Borges, ...
Natural hazards 65, 1831-1847, 2013
372013
The role of data in transformations to sustainability: a critical research agenda
JP de Albuquerque, L Anderson, N Calvillo, J Coaffee, MA Cunha, ...
Current Opinion in Environmental Sustainability 49, 153-163, 2021
252021
Improving extreme precipitation forecasts in Rio de Janeiro, Brazil: are synoptic patterns efficient for distinguishing ordinary from heavy rainfall episodes?
G Dolif, C Nobre
Atmospheric Science Letters 13 (3), 216-222, 2012
212012
Heavy rainfall associated with floods in southeastern Brazil in November–December 2021
JA Marengo, ME Seluchi, AP Cunha, LA Cuartas, D Goncalves, ...
Natural Hazards 116 (3), 3617-3644, 2023
202023
Data diaries: A situated approach to the study of data
N Tkacz, M Henrique da Mata Martins, J Porto de Albuquerque, F Horita, ...
Big Data & Society 8 (1), 2053951721996036, 2021
202021
The master super model ensemble system (MSMES)
PLS Dias, DS Moreira, GD Neto
International Conference on Southern Hemisphere Meteorology and Oceanography, 2006
192006
Community detection in very high-resolution meteorological networks
W Ceron, LBL Santos, GD Neto, MG Quiles, OA Candido
IEEE Geoscience and Remote Sensing Letters 17 (11), 2007-2010, 2019
182019
Characteristics of sprite and gravity wave convective sources present in satellite IR images during the SpreadFEx 2005 in Brazil
FT Sao Sabbas, VT Rampinelli, J Santiago, P Stamus, SL Vadas, ...
Annales geophysicae 27 (3), 1279-1293, 2009
172009
Evento extremo de chuva no Rio de Janeiro: análise sinótica, previsão numérica e comparação com eventos anteriores
KM Andrade, HR Pinheiro, GD Neto
Ciência e Natura 37 (1), 175-180, 2015
142015
A comparison of two cases of low-latitude thundersnow
G Dolif Neto, PS Market, AE Becker, B Pettegrew, C Melick, C Schultz, ...
Atmósfera 22 (3), 315-330, 2009
122009
Extreme rainfall and its impacts in the Brazilian Minas Gerais state in January 2020: Can we blame climate change? Clim Resil Sustain. 1 (1): e15
R Dalagnol, CB Gramcianinov, NM Crespo, R Luiz, JB Chiquetto, ...
92022
Thundersnow in Brazil: a case study of 22 July 2013
G Dolif Neto, PS Market, AB Pezza, CA Morales Rodriguez, L Calvetti, ...
Atmospheric Science Letters 17 (1), 26-32, 2016
92016
Extreme rainfall and its impacts in the Brazilian Minas Gerais state in January 2020: Can we blame climate change?, Climate Resilience and Sustainability, 1, 1–15
R Dalagnol, CB Gramcianinov, NM Crespo, R Luiz, JB Chiquetto, ...
72022
Communication and dissemination of forecasts and engaging user communities
J Robbins, C Cunningham, R Dankers, M DeGennaro, G Dolif, R Duell, ...
Sub-Seasonal to Seasonal Prediction, 399-419, 2019
72019
Flash floods and landslides in the city of Recife, Northeast Brazil after heavy rain on May 25–28, 2022: causes, impacts, and disaster preparedness. Weather Clim Extremes 100545
J Marengo, E Alcantara, A Cunha, M Seluchi, C Nobre, G Dolif, ...
52022
Heavy rains and hydrogeological disasters on February 18th–19th, 2023, in the city of São Sebastião, São Paulo, Brazil: from meteorological causes to early warnings
JA Marengo, AP Cunha, ME Seluchi, PI Camarinha, G Dolif, VB Sperling, ...
Natural Hazards 120 (8), 7997-8024, 2024
32024
Extreme precipitation episode in Rio de Janeiro: synoptic analysis, numerical simulation and comparison among previous events.
KM Andrade, HR Pinheiro, GD Neto
Ciência e Natura 37, 175-180, 2015
32015
Previsão de extremos de chuva no Rio de Janeiro: melhorias utilizando o conhecimento adquirido com eventos anteriores
GD Neto
22012
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