"We will continue to test our satellite data assimilation system with more hurricanes to see if this method works well with other severe weather events," said Xingchao Chen, an assistant research ...

Data assimilation has emerged as an indispensable tool in oceanographic modelling, enabling the integration of observational data with numerical simulations to produce more accurate real-time ...

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 earth ...

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 ...

In 2020, a line of severe thunderstorms unleashed powerful winds that caused billions in damages across the Midwest United States. A new technique that incorporates satellite data could improve ...

We apply the postprocessing Galerkin method to a recently introduced continuous data assimilation (downscaling) algorithm for obtaining a numerical approximation of the solution of the two-dimensional ...

Develops and analyzes approximate methods of solving the Bayesian inverse problem for high-dimensional dynamical systems. After briefly reviewing mathematical foundations in probability and statistics ...

Journal of Hydrometeorology, Vol. 21, No. 10 (October 2020), pp. 2293-2308 (16 pages) Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water cycle with a strong ...

Operational models for severe weather forecasting predicted Hurricane Harvey would become a Category 1 hurricane in 2017, according to the University Corporation for Atmospheric Research. Instead, it ...