Risk models can’t rely just on the past anymore. A team of geoscientists suggests new ways to forecast evolving hazards in ...

The budget proposed by the White House for the National Oceanic and Atmospheric Administration is almost half what it was a year ago, $3.5 billion.

Abstract: This study uses deep neural network (DNN) methodologies, including auto encoder, deep belief network (DBN), and backpropagation neural network (BPNN), to predict stock prices over 15 and 30 ...

Retired federal scientists warn Trump administration's proposed NOAA budget cuts could be costly and harm forecast accuracy.

A state government's debt is set to reach record heights as it plans an Olympics, with the threat of higher borrowing costs ...

Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather ...

WMO hosted its sixth annual Open Consultative Platform on Artificial Intelligence, a strategic dialogue that laid the ...

The WMO is actively working to unite the technological capabilities of private companies with the infrastructure and mission ...

A recent study published in the Water Resources Research journal discussed using a new deep learning framework — known as ...

This result indicates the need of better evaluation concerning the objective function in the process of automatic optimization for calibration and assessment, for example, the use of multi-objective ...