Results 271 to 280 of about 31,792 (349)

Precipitation disaster hotspots depend on historical climate variability. [PDF]

Nat Commun
de Vries I, Schillinger M, Fischer E, Sippel S, Knutti R.   +4 more
europepmc   +1 more source

DARK AR Detection Catalog (ERA5, 1979–2023)

Victoire Buffet, Pohl, Benjamin, Favier, Vincent   +2 more
openalex   +1 more source

Impact‐Based Drought Detection via Interpretable Machine Learning and Causal Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract The intensification of drought events due to climate change presents unprecedented risks and widespread socioenvironmental impacts. Traditional drought indices, which rely on hydrometeorological anomalies, often fall short in capturing the full extent of these impacts, as they primarily focus on isolated precursors (e.g., precipitation deficit
Paolo Bonetti, Matteo Giuliani, Teo Bucci, Veronica Cardigliano, Alberto Maria Metelli, Marcello Restelli, Andrea Castelletti   +6 more
wiley   +1 more source

Robust increase in observed heat storage by the global subsurface. [PDF]

Sci Adv
Cuesta-Valero FJ, García-García A, Beltrami H, García-Pereira F, González-Rouco JF, Peng J.   +5 more
europepmc   +1 more source

The importance of weather and climate science in the insurance industry

Weather, Volume 81, Issue 2, Page 46-47, February 2026.
Matthew D. K. Priestley, Hannah C. Bloomfield   +1 more
wiley   +1 more source

NLML: A Deep Neural Network Emulator for the Exact Nonlinear Interactions in a Wind Wave Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Nonlinear wave interactions describe the resonant energy transfer between wave components, playing a fundamental role in the evolution of ocean wave spectra. Nonlinear wave interactions significantly influence wave growth and development, making them essential for accurate wave modeling.
Olawale James Ikuyajolu, Luke Van Roekel, Steven R. Brus, Erin E. Thomas   +3 more
wiley   +1 more source

A Global ERA5-based Tropical Cyclone Wind Field Dataset Enhanced by Integrated Parametric Correction Methods. [PDF]

Sci Data
Liu G, Jiang S, Zheng M, Lin S, Kong Y, Zhan P.   +5 more
europepmc   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source

Vorticity budget analysis of a mesoscale convective vortex during the July 2022 flash flood in Northern Tehran. [PDF]

Sci Rep
Pegahfar N, Gharaylou M, Alizadeh O.
europepmc   +1 more source

Machine Learning Approximations for Fast and Accurate Prediction of Nonlinear Four‐Wave Interactions in Spectral Wave Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Operational wave forecasting requires a delicate balance between the accuracy and computational speed of the spectral wave model used, in which the nonlinear wave–wave interaction “source” term plays an important role. The exact formulation of these nonlinear four‐wave interactions requires solving the six‐dimensional Boltzmann integral, an ...
Jialun Chen, Thomas A. A. Adcock, Qingxiang Liu, Ronald Clark, Tianning Tang   +4 more
wiley   +1 more source