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		<citationkey>Freitas:2020:CoRaWa</citationkey>
		<title>Combining rainfall and water level data for multistep very short-term empirical hydrological forecasting</title>
		<format>On-line.</format>
		<year>2020</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>30348 KiB</size>
		<author>Freitas, Cintia Pereira de,</author>
		<group>CAP-COMP-SESPG-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>cintia.cpfreitas@gmail.com</electronicmailaddress>
		<conferencename>Workshop dos Cursos de Computação Aplicada do INPE, 20 (WORCAP)</conferencename>
		<conferencelocation>São José dos Campos</conferencelocation>
		<date>8-11 e 14-17 set. 2020</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<booktitle>Vídeos</booktitle>
		<tertiarytype>apresentacao tecnica</tertiarytype>
		<transferableflag>1</transferableflag>
		<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.</abstract>
		<area>COMP</area>
		<type>modelagem computacional</type>
		<language>pt</language>
		<targetfile>Rainfall and water level data for very short-term hydrological forecasting - Cintia Freitas.mp4</targetfile>
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		<notes>(15 min)</notes>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m16c/2020/11.05.16.47</url>
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