Estimación de la humedad del suelo mediante técnicas de asimilación de datos
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Abstract
unido al desarrollo de nuevos métodos de estimación de esta variable a diferentes escalas en espacio-tiempo, ha conllevado al empleo de técnicas
de asimilación que permitan mejorar sus estimaciones. El objetivo de este trabajo es ilustrar las potencialidades de este tipo de herramientas
en la estimación de perfiles de humedad del suelo a partir de la asimilación de valores de humedad superficial en un modelo de simulación.
Con ese fin se realiza un estudio sintético, basado en el uso de la ecuación de Richards para la modelación del movimiento del flujo del agua
en el suelo. El uso de la técnica de asimilación reduce sensiblemente el error de perfiles estimados con respecto a los reales, y con ello evita
la posible divergencia de la solución. En particular, la técnica de asimilación basada en el Filtro de Kalman obtiene resultados superiores, en
menor tiempo, con respecto a la técnica de asimilación Inserción Directa.
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