Researchers from The University of Tokyo assimilated satellite observations of water vapor isotopes into a weather forecasting model and found that forecast accuracy was improved by several ...

Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of ...

The European Center for Medium-Range Weather Forecasts has debuted its own forecast AI model on the heels of a cutting-edge Google model released in December. Reading time 3 minutes The European ...

Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...