Results 171 to 180 of about 6,035 (266)

Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]

Sensors (Basel)
Peng F, Tang X, Xiao M.
europepmc   +1 more source

Community Participation as a Pathway to Strengthen National Precipitation Isotope Products in New Zealand

Journal of the Royal Society of New Zealand, Volume 56, Issue 4, August 2026.
Accurate environmental and climate modelling depends on the availability of large observational datasets, yet the generation of such data is often costly and logistically challenging for individual research groups. This limitation is particularly acute in New Zealand, where geographic isolation, complex topography, and strong climatic gradients require
Bruce D. Dudley, Alice F. Hill, Andy McKenzie, Peter W. Holder, W. Troy Baisden, Stephen Collins, James Dare, Michael Darling, Russell D. Frew, Scott L. Graham, Robert van Hale, Travis W. Horton, Elizabeth D. Keller, Shelley MacDonell, Jack McMecking, Jeffrey J. McDonnell, Magali F. Nehemy, Ewen Rodway, Zane Shadbolt, Cerra Simmons, Andrew Swales, Michael K. Stewart, Vanessa Trompetter, Thomas Wöhling   +23 more
wiley   +1 more source

Frequency-aware vision transformers for high-fidelity super-resolution of Earth system models. [PDF]

Sci Rep
Zeraatkar E, Faroughi SA, Tešić J.
europepmc   +1 more source

Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in AI weather forecasting have led to the emergence of so‐called “foundation models”, typically defined by expensive pretraining and minimal fine‐tuning for downstream tasks. However, in the natural sciences, a desirable foundation model should also encode meaningful statistical relationships between the underlying physical ...
Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm   +5 more
wiley   +1 more source

A century long ensemble streamflow dataset in the Pacific Northwest to support water security assessments. [PDF]

Sci Data
Mizukami N, Gutmann ED, Wood AW, Nijssen B, Harrell JM, Frans CD, Warner MD, Mueller C.   +7 more
europepmc   +1 more source

An LLM Framework for Regional Climate Services: Integrating Climate Knowledge and Ensemble Projections

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in generative AI have enabled the integration of scientific knowledge into natural language interfaces. However, existing large language models (LLMs) lack domain‐specific expertise and cannot directly utilize simulation data essential for risk assessment.
D. Matsuoka, S. Kawahara, K. Murakami, R. Matsumoto, R. Ito, S. Sugimoto, D. Sugiyama, M. Hara, M. Hayashida, K. Nguyen, A. Peng, T. Abe, I. Sugiyama   +12 more
wiley   +1 more source

MPCID, A new high-resolution multi-precipitation concentration indicators dataset for mainland China. [PDF]

Sci Data
Zhang D, Li X, Li L, Tang Y, Wang G, Duan H, Yang C, Jiang X.   +7 more
europepmc   +1 more source

CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas, Paolo Giani, Paola Crippa, Stefano Castruccio   +3 more
wiley   +1 more source

High-Resolution Downscaled CMIP6 Projections dataset of Key Climate Variables for Senegal. [PDF]

Sci Data
Mbengue A, Sultan B, Lguensat R, Vrac M, Diongue-Niang A, Ndiaye O, Gaye AT.   +6 more
europepmc   +1 more source

Glacier Mass Balance Modeling Using a Long Short‐Term Memory Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Glacier mass balance (MB) is a key indicator of climate change and a central driver of glacier evolution, yet most glaciers worldwide lack long‐term in situ measurements. For estimating glacier MB, data‐driven models provide a complementary alternative to traditional numerical approaches by learning empirical relationships between climate ...
Marijn van der Meer, Harry Zekollari, Alban Gossard, Kamilla Hauknes Sjursen, Jordi Bolibar, Matthias Huss, Daniel Farinotti   +6 more
wiley   +1 more source