For some, 40 years of calculating and analyzing numerical data might sound boring. But for Mark Schleusener, it was a ...

Numerical weather prediction (NWP) systems use large amounts of observational data gathered daily using satellite-based and ground-based instruments to make forecasts, but maintaining them is costly ...

Climate change is making extreme weather events worse, empowering meteorological phenomena such as storms, hurricanes, heat waves, and droughts. Against this backdrop, numerical weather predictions ...

Qualitative Data Analysis Software (QDAS) has become an essential tool for researchers across various disciplines, facilitating the analysis of non-numerical data such as interviews, open-ended ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Numerical analysis is a branch of mathematics that focuses on developing algorithms to obtain numerical solutions to mathematical problems. This field is essential for solving complex equations ...

But for Mark Schleusener, it was a fulfilling career — one that ended following his retirement from USDA’s National ...

Rapid Intensification (RI) of tropical cyclones (TCs), defined as an intensity increase of at least 13 m/s within 24 hours, ...

In turn, that data depends on having the right infrastructure to get that data ready for use with gen-AI.

Compared to other universities, Purdue doesn’t have the same level of clear climate data available, frustrating students and ...

Researchers from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS) have developed a new model for forecasting Rapid Intensification of tropical cyclones based on "contrastive ...

Investors are heading into yet another pivotal Big Tech earnings cycle with the companies’ shares near record highs and ...