@AudiovisualMaterial{Freitas:2020:CoRaWa,
abstract = "This work proposes a MLP to forecast time series of water level at
the outlet of a watershed in a mountain region. Input data was
collected by a set of 8 hydrologic monitoring stations, acquired
with a 15-minute resolution. Our results show a good agreement
between predicted and observed values of the water-level time
series, combining water level and rainfall data in the input
layer: Nash-Sutcliffe coefficient reached 0.995 for prediction
antecedence of 15 minutes, and 0.913, for 120 minutes.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
author = "Freitas, Cintia Pereira de",
city = "S{\~a}o Jos{\'e} dos Campos",
conferencename = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 20
(WORCAP)",
date = "8-11 e 14-17 set. 2020",
language = "pt",
note = "{(15 min)}",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
publisheraddress = "S{\~a}o Jos{\'e} dos Campos",
ibi = "8JMKD3MGPDW34P/43HC3NP",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/43HC3NP",
targetfile = "Rainfall and water level data for very short-term hydrological
forecasting - Cintia Freitas.mp4",
title = "Combining rainfall and water level data for multistep very
short-term empirical hydrological forecasting",
type = "modelagem computacional",
year = "2020",
urlaccessdate = "11 maio 2024"
}