Tag: data assimilation

A new study shows that the minimum ensemble size for accurate ensemble Kalman filtering of chaotic dynamics equals the number ...

A new deep learning framework dramatically improves the calibration of ocean biogeochemical models and the reconstruction of plankton dynamics despite ...

A new adaptive observation-weighting scheme in the TCKF1D-Var retrieval framework dynamically balances microwave radiometer and Raman lidar data, improving moisture ...

Researchers have developed a computationally efficient parametric method that forecasts wildfire smoke uncertainty directly within an operational air quality model, ...

A new analysis shows that misplaced rainfall forecasts and a failed USGS gauge caused operational models to severely underpredict the ...

Scientists plan a 4.5-kilometer-deep observation borehole on the TU Delft campus to monitor an operating urban geothermal system and the ...

A new study explains how neural networks trained inside the forecast–analysis cycle can match ensemble Kalman filters and even iterative ...

A new idealized study shows that assimilating ocean eddies through their defining parameters, rather than gridded fields, prevents the structural ...

Researchers in Japan have created a hybrid control algorithm that uses ensemble Kalman guidance and sampling-based optimization to plan tiny, ...

A new study shows that twenty years of ESA satellite discharge and water level data, assimilated into two contrasting hydrological ...