Ingeniería Hidráulica y Ambiental (INGHA)
Agricultural Research Service
Washington, Estados UnidosAgricultural Research Service-ko ikertzaileekin lankidetzan egindako argitalpenak (3)
2019
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How critical is the assimilation frequency of water content measurements for obtaining soil hydraulic parameters with data assimilation?
Vadose Zone Journal, Vol. 18, Núm. 1
2018
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MATLAB algorithm to implement soil water data assimilation with the Ensemble Kalman Filter using HYDRUS
MethodsX, Vol. 5, pp. 184-203
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Obtaining soil hydraulic parameters from soil water content data assimilation under different climatic/soil conditions
Catena, Vol. 163, pp. 311-320