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Precipitation as a proxy for climate variables: application for hydrological modelling
Authors:Ayan Fleischmann  Fernando Fan  Bruno Collischonn  Walter Collischonn  Paulo Pontes  Anderson Ruhoff
Institution:1. Departamento de Hidromecanica e Hidrologia, Instituto de Pesquisas Hidráulicas (IPH/UFRGS), Porto Alegre, Brazil;2. Departamento de Obras Hidráulicas, Instituto de Pesquisas Hidráulicas (IPH/UFRGS), Porto Alegre, Brazil;3. Agência Nacional de águas (ANA), Brasília, Brazil;4. Instituto Tecnológico Vale – Desenvolvimento Sustentável (ITV-DS), Belém, Brazil
Abstract:It has been proposed that linear regression curves can be used to estimate monthly climate variables from observed precipitation. This approach was explored by applying the MGB hydrological model to the Paraná Basin (Brazil). Linear regressions were obtained for 54 climate gauges, and most of them showed at least six months of significant correlation between monthly climate variables (sunlight hours and relative humidity) and precipitation. The regression equations were applied to 5201 raingauges to estimate monthly climate variables and evapotranspiration, and the results were compared with a scenario using long-term climate averages only. The main differences occurred in wetter periods, where negative correlations between monthly precipitation and evapotranspiration were obtained when using precipitation as a proxy. Long-term changes in the hydrological regime were assessed and showed that the effect of precipitation on relative humidity and sunlight hours seems to have a minor effect on the alterations observed in river discharge in the Paraná Basin.
Keywords:actual evapotranspiration  precipitation as proxy  climate data  hydrological modelling  Paraná River Basin
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