Results 181 to 190 of about 358,172 (250)

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

Impact of climate change on fish population dynamics in the Baltic sea: a dynamical downscaling investigation. [PDF]

Ambio, 2012
Mackenzie BR, Meier HE, Lindegren M, Neuenfeldt S, Eero M, Blenckner T, Tomczak MT, Niiranen S.   +7 more
europepmc   +1 more source

High Temperatures and Rural Household Expenditure: Evidence From Longitudinal Data in Colombia

Review of Development Economics, EarlyView.
ABSTRACT This paper examines the impact of rising temperature on rural household expenditure in Colombia by combining high‐resolution gridded weather data with a rich longitudinal household survey. Our results show that a one‐standard‐deviation increase in average daily temperature during the rainy months significantly reduces rural household ...
Cristhian D. Prieto, Ilan Noy, Yu‐Wei Luke Chu   +2 more
wiley   +1 more source

EPA Dynamically Downscaled Ensemble (EDDE): Datasets for Adaptation and Resilience Planning for Environmental Endpoints. [PDF]

Bull Am Meteorol Soc
Spero TL, Bowden JH, Mallard MS, Nolte CG, Willison J, Jalowska AM, Talgo KD, Reynolds LJ, Brehme K.   +8 more
europepmc   +1 more source

Groundwater Representation in Water Resource Planning: The Spatial and Temporal Sensitivity of Groundwater Supplies in England

Water and Environment Journal, EarlyView.
ABSTRACT Groundwater makes an important contribution to public water supplies, yet the dynamics of groundwater availability are often simplified in large‐scale water resource assessments. This study addresses that challenge on a national scale in England by integrating an empirically based groundwater supply model with a national‐scale water resource ...
Rachel Pugh, Anna Murgatroyd, Richard Rowan‐Robinson, Jim Hall   +3 more
wiley   +1 more source

Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]

Sci Rep
Harder P, Schmidt L, Pelletier F, Ludwig N, Chantry M, Lessig C, Hernandez-Garcia A, Rolnick D.   +7 more
europepmc   +1 more source

Caloric restriction and aerobic exercise differentially counteract muscle–tendon dysfunction following diet‐induced obesity in C57BL/6J mice

The Journal of Physiology, EarlyView.
Abstract figure legend Diet‐induced obesity induced fibro‐adipogenic remodelling of the muscle–tendon unit, characterized by increased fibrosis, reduced specific force, impaired relaxation kinetics, elevated hysteresis, and reduced aerobic capacity and glucose tolerance.
Leonardo Cesanelli, Petras Minderis, Andrej Fokin, Aivaras Ratkevicius, Ingrida Balnyte, Polzonetti Valeria, Tomas Venckunas, Cameron Hill, Danguole Satkunskiene, Hans Degens   +9 more
wiley   +1 more source

A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
A generalized framework for quantifying multi‐hazard interactions is developed and applied across four European regions. The framework captures regional hazard dependencies and joint probabilities, with methods tailored to different temporal scales. Results indicate increasing multi‐hazard event frequency under future climate scenarios, highlighting ...
Mohammed Sarfaraz Gani Adnan, Christopher J. White, Eleonora Perugini, Esther Hlíðar Jensen, Talfan Barnie, Natalia Castillo, Marcello Arosio, Enrico Tubaldi, Matthew James Roberts, Marco Gaetani, Younghwa Cha, Frederiek Sperna Weiland, Mario Martinelli, John Douglas   +13 more
wiley   +1 more source

Regional dynamics drive differences in future heat stress and reveal where Hawaiian corals are most likely to persist. [PDF]

Sci Rep
Feloy K, Powell B, Friedrich T, Barkley H.   +3 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source