Tag: ensemble Kalman filter

A new 12-year reanalysis dataset for Ise Bay, Japan, assimilates water-column observations including bottom-layer dissolved oxygen every six hours to ...

Coupling a fully dynamic ocean model to a sea ice assimilation system preserves ensemble spread and sharply improves Arctic sea ...

Researchers developed an ensemble-based Bayesian filtering method that estimates the unmeasurable heat flux between molten steel and a continuous casting ...

Researchers have shown that satellite observations of nitrogen dioxide, converted using sector-based emission ratios, can estimate Europe's fossil fuel CO2 ...

Researchers have devised an ensemble-based scheme that jointly updates soil temperature and moisture, turning fleeting satellite land surface temperature observations ...

A new quasi-global ensemble ocean reanalysis, LORA-QG, matches established global products in accuracy while uniquely providing uncertainty estimates and full ...

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

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, ...