Noticias / Soil moisture estimation through satellite data assimilation

INSTITUTIONAL SEMINAR

Soil moisture estimation through satellite data assimilation

On Wednesday, June 19, 2024, the IMIT Institute offered a new institutional seminar called "Estimation of soil moisture through satellite data assimilation", which explored the application of the Ensemble Kalman Filter to combine data from predictive models with satellite observations and estimate soil moisture. The seminar was offered by Lic. Fabricio Matías Obregón, who is a CONICET doctoral fellow at the same institute. The activity was developed in the Graduate Classroom of the Faculty of Exact and Natural Sciences and Surveying of UNNE in hybrid mode.

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Soil moisture estimation through satellite data assimilation

Mr. Fabricio Obregón addressed the data assimilation technique based on the Kalman Filter by ensembles. This methodology allows merging information from predictive models with observational data, in this case, related to soil moisture. The model used was the Noah-MP, which simulates an ensemble of soil moisture states. Through the combination of these simulations with satellite observations, probabilistic estimates of the variable of interest are achieved.
He proposed the evaluation of observational bias correction techniques, especially focused on the period of extreme drought in 2022 in the analysis region. This research work focuses on the assimilation of soil moisture in northern Argentina using satellite data.