Results 221 to 230 of about 31,321 (299)

Reconstructing fine-scale 3D wind fields with terrain-informed machine learning. [PDF]

Nat Commun
Lin C, Tie R, Yi S, Liu D, Zhong X, Hu Z, Li H.   +6 more
europepmc   +1 more source

Ambient heat and early childhood development: a cross‐national analysis

Journal of Child Psychology and Psychiatry, Volume 67, Issue 6, Page 929-940, June 2026.
Background Increasing evidence suggests that climate change, along with its cascading impacts on ecosystems, societies, and communities, has significant effects on both physical and mental health. However, less is known about how exposure to excessive heat early in life may influence the development of foundational skills that shape lifelong ...
Jorge Cuartas, Lenin H. Balza, Andrés Camacho, Nicolás Gómez‐Parra   +3 more
wiley   +1 more source

Influence of atmospheric rivers on precipitation variability in British Columbia's Gaat Héeni (Silver Salmon River) Watershed. [PDF]

Discov Atmos
Wittig DJ, Déry SJ.
europepmc   +1 more source

Improving Basin‐Wide Flood Estimation From a Global Hydrological Model Through Spatiotemporal‐Pattern‐Based Machine Learning

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley   +1 more source

The UFLUX ensemble of multiple-scale carbon, water, and energy fluxes. [PDF]

Sci Data
Zhu S, Xu J, Zeng J, Bao S, Chen Y, Shi S, Zheng Z, Dong W, Wang Y, Shi J.   +9 more
europepmc   +1 more source

Climate Data Agency: Intra‐Active Knowledge Production Between the Human and Non‐Human World

Transactions of the Institute of British Geographers, Volume 51, Issue 2, June 2026.
Short Abstract In this intervention, we engage with Karen Barad's agential‐realist concept of intra‐action to explore how knowledge about climate emerges from the intra‐active entanglements between climate scientists and nature through processes of data collection, representation and interpretation.
Stefan Brönnimann, Jeannine Wintzer
wiley   +1 more source

Physically consistent global atmospheric data assimilation with machine learning in latent space. [PDF]

Sci Adv
Fan H, Bai L, Fei B, Xiao Y, Chen K, Liu Y, Qu Y, Ling F, Gentine P.   +8 more
europepmc   +1 more source

Dynamics of Significant Intraseasonal Variability of Surface Chlorophyll‐a Concentration in the Far Western Tropical Pacific

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract While the far Western Tropical Pacific is known for interannual variability, we find intraseasonal variability (ISV) actually dominates surface chlorophyll (SChl) fluctuations, explaining >30% of variance. The Madden‐Julian Oscillation (MJO) acts as the key driver through three mechanisms: (a) positive MJO phase vertical mixing (enhanced winds
Hui Zhou, Xueqi Liu, Shuo Wang, Lei He, Xingru Feng   +4 more
wiley   +1 more source

Anthropogenic climate change drives rising global heat stress and its spatial inequality. [PDF]

Nat Commun
Peng J, Wang Q, Yang Z, Dong J, Yu X, Corcoran J.   +5 more
europepmc   +1 more source

Benchmarking Regional Thermodynamic Trends in an AI Emulator, ACE2, and a Hybrid Model, NeuralGCM

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract AI models have emerged as potential complements to physics‐based models, but their skill in capturing observed regional trends with important societal impacts remains unexplored. Here, we benchmark satellite‐era regional thermodynamic trends, including extremes, in an AI emulator (ACE2) and a hybrid model (NeuralGCM), against physics‐based ...
Katharine Rucker, Ian Baxter, Pedram Hassanzadeh, Tiffany A. Shaw, Hamid A. Pahlavan   +4 more
wiley   +1 more source