In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Breaking away from fragmented estimates, regional experiments between 1850 and 1872 laid the groundwork for today's massive census operations.

[theta] and [rho] denote the level types on which the parameters A and B are valid. A values represent the height of the hybrid levels above the geoid assuming zero topography. B values represent the ...

A rainy Wednesday or a sneaky severe storm or two with a tornado chance? Let's keep an eye on how this new model performs.

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Abstract: Wind vectors derived from scatterometer measurements are spatially detailed as compared to global numerical weather prediction (NWP) model fields. Since the Advanced Scatterometer (ASCAT)'s ...

On April 29, the space weather chain-based large model "Fengyu" released at the Special Session on Digital Meteorology of the 8th Digital China Summit. The Research and Development (R&D) of "Fengyu" ...

Researchers have developed Aardvark Weather, the first machine learning system that generates accurate global and local weather forecasts directly from observational data - eliminating the need for ...