Smarter Sensor Weighting Sharpens Moisture Profiles Ahead of Nighttime Downpours
A new adaptive observation-weighting scheme in the TCKF1D-Var retrieval framework dynamically balances microwave radiometer and Raman lidar data, improving moisture ...
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 ...
Penn State researchers adapted diffusion-based generative AI techniques from image generation to build an hourly flood forecasting model trained on ...
Researchers have shown for the first time that assimilating satellite measurements of naturally occurring water vapor isotopes into weather models ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine