Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Fernando Fan"'
Autor:
Lara Nonnemacher, Fernando Fan
Publikováno v:
Revista de Gestão de Água da América Latina, Vol 20, Iss 2023 (2023)
Devido ao desenvolvimento da sociedade se dar a partir das margens de rios, desastres naturais causados por inundações ocorrem frequentemente ao redor do mundo, gerando elevados prejuízos econômicos e sociais. Para a redução de prejuízos, sist
Externí odkaz:
https://doaj.org/article/1892a471de244d7b8b91c9d414db25b3
Autor:
Leandro Ávila, Reinaldo Silveira, André Campos, Nathalli Rogiski, Camila Freitas, Cássia Aver, Fernando Fan
Publikováno v:
Water, Vol 15, Iss 9, p 1695 (2023)
The assessment of seasonal streamflow forecasting is essential for appropriate water resource management. A suitable seasonal forecasting system requires the evaluation of both numerical weather prediction (NWP) and hydrological models to represent t
Externí odkaz:
https://doaj.org/article/046fa7c1469a42e59e85780f10e335a6
Autor:
Leandro Ávila, Reinaldo Silveira, André Campos, Nathalli Rogiski, José Gonçalves, Arlan Scortegagna, Camila Freita, Cássia Aver, Fernando Fan
Publikováno v:
Water, Vol 14, Iss 19, p 3013 (2022)
Hydrological modeling is an important tool for water resources management, providing a feasible solution to represent the main hydrological processes and predict future streamflow regimes. The literature presents a set of hydrological models commonly
Externí odkaz:
https://doaj.org/article/bd84818adddb45efb4ce56a1e8e554b0
Autor:
Erik Quedi, Fernando Fan, Vinicius Siqueira, Walter Collischonn, Ingrid Petry, Cleber Gama, Rodrigo Paiva, Reinaldo Silveira, Cassia Paranhos, Camila Freitas
Hydrological forecasts ranging from two weeks to months in advance are critical for decision making in water resources management and economic sectors. In the subseasonal timescale, there is an opportunity to anticipate events of hydrological interes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2858b571bde4c21df9f52e183c60d9b0
https://doi.org/10.5194/egusphere-egu23-4540
https://doi.org/10.5194/egusphere-egu23-4540
Autor:
Cléber Gama, Vinicius Siqueira, Arthur Kolling Neto, Rodrigo Paiva, Fernando Fan, Walter Collischonn, Erik Quedi, Ingrid Petry, Reinaldo Silveira, Camila Freitas, Cassia Paranhos
Short-to-medium range streamflow forecasting is essential for planning and operating hydropower plants (HPPs). The Brazilian National Interconnected System (SIN) is composed of more than 150 HPPs that are located over a wide range of climate and hydr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8a31cb53ce50aa830a508d31d0a6f44
https://doi.org/10.5194/egusphere-egu23-16025
https://doi.org/10.5194/egusphere-egu23-16025
Autor:
Camila Freitas, Reinaldo Silveira, Ingrid Petry, Cassia Paranhos, Fernando Fan, Walter Collishonn, Carlos Tucci
The Electric Energy Company of Parana (COPEL GeT), the Meteorological System of Parana (SIMEPAR) and RHAMA Consulting company are undertaking the research project PD-6491-0503/2018 for the development of a hydrometeorological seasonal forecasting for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19446efc6ce1ceffbbcc0fc00de1cdd5
https://doi.org/10.5194/egusphere-egu23-16559
https://doi.org/10.5194/egusphere-egu23-16559
Autor:
Leandro Ávila, Reinaldo Silveira, André Campos, Nathalli Rogiski, Camila Freitas, Cássia Aver, Fernando Fan
The Electric Energy Company of Parana (COPEL GeT), the Meteorological System of Parana (SIMEPAR) and RHAMA Consulting company are undertaking the research project PD-6491- 0503/2018 for the development of a hydrometeorological seasonal forecasting fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a45a34801ccf217a5eea709b07d847
https://doi.org/10.5194/egusphere-egu23-10121
https://doi.org/10.5194/egusphere-egu23-10121
Autor:
Cassia Aver, Camila Freitas, Erik Quedi, Fernando Fan, Vinicius Siqueira, Walter Collischonn, Cleber Araujo, Ingrid Petry, Reinaldo Silveira
The flow forecast is used in several sectors of society, bringing benefits in relation to the mitigation of possible impacts in flood events and it is information of great value for the economic sectors associated with agriculture and energy generati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2171bdc3f178a582969d241e7c6c7b6c
https://doi.org/10.5194/egusphere-egu23-16515
https://doi.org/10.5194/egusphere-egu23-16515
Autor:
Ingrid Petry, Fernando Fan, Vinicius Siqueira, Walter Collischonn, Rodrigo Paiva, Erik Quedi, Cléber Gama, Reinaldo Silveira, Camila Freitas, Cássia Aver
Society’s increasing demand for water and the need for its long-term management have motivated efforts toward improving seasonal streamflow forecasts. Currently, seasonal climate forecasts are routinely issued in meteorological centers around the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2701e04b445cd6db75299651e34fc565
https://doi.org/10.5194/egusphere-egu23-2956
https://doi.org/10.5194/egusphere-egu23-2956
In the model-based streamflow forecasting context, initial conditions (ICs) and meteorological forcings (boundary conditions) are two important drivers of predictability. While the meteorological forcings increasingly influence forecasts at long time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5641422c365836bca82c4c2bd272c4b4
https://doi.org/10.5194/egusphere-egu22-6155
https://doi.org/10.5194/egusphere-egu22-6155