Rainfall as proxy for evapotranspiration predictions

In this work, we evaluated the relationship between evapotranspiration and precipitation, based on the data recently made available by the Brazilian Meteorological Institute. ETP tend to be lower in rainy periods and vice-versa. This relationship was assessed both in physical and statistical way...

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Main Authors: B. Collischonn, W. Collischonn
Format: Article
Language:English
Published: Copernicus Publications 2016-10-01
Series:Proceedings of the International Association of Hydrological Sciences
Online Access:https://www.proc-iahs.net/374/35/2016/piahs-374-35-2016.pdf
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author B. Collischonn
W. Collischonn
author_facet B. Collischonn
W. Collischonn
author_sort B. Collischonn
collection DOAJ
description In this work, we evaluated the relationship between evapotranspiration and precipitation, based on the data recently made available by the Brazilian Meteorological Institute. ETP tend to be lower in rainy periods and vice-versa. This relationship was assessed both in physical and statistical ways, identifying the contribution of each explaining variable of ETP. We derived regression equations between monthly rainfall and ETP, which can be useful in studies where ETP time series are not available, such as reservoir design, irrigation management and flow forecast.
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spelling doaj.art-44ea6c74be8f436da4d65106ecbc7a9a2022-12-22T03:12:23ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2016-10-01374354010.5194/piahs-374-35-2016Rainfall as proxy for evapotranspiration predictionsB. Collischonn0W. Collischonn1Agencia Nacional de Aguas, Brasilia, 70610-200, BrazilInstituto de Pesquisas Hidraulicas, Porto Alegre, 91501-970, BrazilIn this work, we evaluated the relationship between evapotranspiration and precipitation, based on the data recently made available by the Brazilian Meteorological Institute. ETP tend to be lower in rainy periods and vice-versa. This relationship was assessed both in physical and statistical ways, identifying the contribution of each explaining variable of ETP. We derived regression equations between monthly rainfall and ETP, which can be useful in studies where ETP time series are not available, such as reservoir design, irrigation management and flow forecast.https://www.proc-iahs.net/374/35/2016/piahs-374-35-2016.pdf
spellingShingle B. Collischonn
W. Collischonn
Rainfall as proxy for evapotranspiration predictions
Proceedings of the International Association of Hydrological Sciences
title Rainfall as proxy for evapotranspiration predictions
title_full Rainfall as proxy for evapotranspiration predictions
title_fullStr Rainfall as proxy for evapotranspiration predictions
title_full_unstemmed Rainfall as proxy for evapotranspiration predictions
title_short Rainfall as proxy for evapotranspiration predictions
title_sort rainfall as proxy for evapotranspiration predictions
url https://www.proc-iahs.net/374/35/2016/piahs-374-35-2016.pdf
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