Estimativa da evapotranspiração a partir dos satélites GRACE

Many efforts have been made to understand the variability, magnitude and patterns of climatic and hydrological variables. In this sense, the cartographic sciences are established as a tool of fundamental importance in supporting the development of research focused on agriculture and environmental ma...

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Detalles Bibliográficos
Autor: Cunha, Samuel Rodrigues da
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2021
País:Brasil
Institución:Universidade Federal de Uberlândia (UFU)
Repositorio:Repositório Institucional da UFU
Idioma:portugués
OAI Identifier:oai:repositorio.ufu.br:123456789/33434
Acceso en línea:https://repositorio.ufu.br/handle/123456789/33434
http://doi.org/10.14393/ufu.di.2021.505
Access Level:acceso abierto
Palabra clave:Evapotranspiração
Evapotranspiration
Recursos hídricos
Water resources
Regiões hidrográficas
Hydrographic regions
Satélite GRACE
GRACE satellite
Sensores orbitais
Orbital sensors
CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOFISICA::SENSORIAMENTO REMOTO
CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEODESIA::GEODESIA FISICA
Agonomia
Satélites artificiais em geociências
Descripción
Sumario:Many efforts have been made to understand the variability, magnitude and patterns of climatic and hydrological variables. In this sense, the cartographic sciences are established as a tool of fundamental importance in supporting the development of research focused on agriculture and environmental management, mainly in the use of orbital sensors, in the elaboration of studies of great impact, focused mainly on the understanding of variables that influence climate change, such as evapotranspiration, a variable directly related to the hydrological cycle. In this study, the potential of GRACE satellites to estimate evapotranspiration for the hydrographic regions of Amazonas, Paraguay, Paraná, São Francisco and Tocantins-Araguaia was evaluated. Data from the total water storage from GRACE, precipitation data from the TRMM mission and native flow of FLDAS were used to calculate ET. Observations of the ET of the GLDAS model were used as reference guidelines for the validation of the calculated ET. The calculated ET presented overestimates for periods of low water availability. The smallest differences between the calculated ET and the model were in january, a month historically marked by a high volume of precipitation. The highest correlations between the calculated ET and the GLDAS model were for the Paraná and São Francisco basins, with correlation coefficients of 0.57 and 0.53, respectively. The highest correlations between the variables were between dTWS/dt and precipitation, with the indication of significant correlations for all the basins under study. The model proved to be an alternative for qualitative and quantitative evaluation of ET in periods of high water availability.