Data assimilation to the rescue: using forecasting methods to improve hydrological model structures for long-range projections

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By Julien Lerat In the forecasting world, data assimilation (DA) is everywhere. DA methods such as the Ensemble Kalman Filter can efficiently correct internal states of a model based on recent observations and generate optimal initial conditions… Read on blog or Reader HEPEX Read on blog or Reader Data assimilation to the rescue: using forecasting methods to improve hydrological model structures for long-range projections By James Bennett on September 10, 2024 By Julien Lerat In the forecasting world, data assimilation (DA) is everywhere. DA methods such as the Ensemble Kalman Filter can efficiently correct internal states of a model based on recent observations and generate optimal initial conditions at the start of a forecasting window. When these corrections are applied, DA can tell us when a […] Continue reading Comment

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