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		<isbn>978-85-17-00088-1</isbn>
		<label>59975</label>
		<citationkey>BiasottoJohaRichBeck:2017:DeSéHi</citationkey>
		<title>Determinação da série histórica mensal do balanço hídrico para o estado do Paraná utilizando o modelo ECMWF</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>917 KiB</size>
		<author>Biasotto, Giovane,</author>
		<author>Johann, Jerry Adriani,</author>
		<author>Richetti, Jonathan,</author>
		<author>Becker, Willyan Ronaldo,</author>
		<electronicmailaddress>giovanebiasotto@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>5545-5551</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The meteorological elements are becoming more and more important to the agricultural scene, being a strategical matter for decision making and agricultural planning in the country. The water balance is the difference between rainfall and evapotranspiration, being another important element, thus, knowing the soils water storing capacity its possible to determine if the plant is suffering from water shortage. The most common way to obtain these information is from surface meteorological stations, however, financial and logistics problems can difficult the process. Atmosphere models such as ECMWF can be used as an alternative to the surface stations for obtaining these data, this specific model make them available in real time and free of cost, ending with the surface stations problems. This papers objective was, by using remote sensing technology and the ECMWF model, to determine the monthly historical series of the water balance between the years of 2008 and 2016 in Paraná State. Using the CyMP software, the ECMWF data had to be transformed from a decennial to a monthly scale, the water balance calculation and the images classification were made in ArcGis. The results points to some more expressive variations during the years, which may be the effects from El Niño and La Niña, causing rainy and rainless periods, respectively. It was concluded that the average water balance kept positive during the summer crops in practically the entire state, during the winter this value decreased, mainly at the northern parts of the state, matching with the Koppen climatic classification.</abstract>
		<area>SRE</area>
		<type>Análise de séries temporais de imagens de satélite</type>
		<language>pt</language>
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