Results 261 to 270 of about 4,321,601 (325)

Monthly 0.05° winter months snow depth dataset for the Northern Hemisphere from 21 CMIP6 models. [PDF]

Sci Data
Lin S, Chen X, Liang S, Liu Y, Li Y, Li H.   +5 more
europepmc   +1 more source

PrecipFusionNet: A Unified Deep Learning Model for Improving Numerical Precipitation Prediction

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Numerical weather prediction (NWP) often suffers from substantial biases when forecasting extreme rainfall. Traditional corrections tend to underuse spatial information, while deep learning approaches typically struggle with data imbalance for rare events.
Ziyi Zhang, Huiling Yuan
wiley   +1 more source

Activity Deprivation Modulates the Shank3/Homer1/mGluR5 Signaling Pathway to Enable Synaptic Upscaling. [PDF]

J Neurosci
Guerrero AA, Turrigiano GG.
europepmc   +1 more source

A Generalized Data‐Driven Shoreline Model at the Regional Scale

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Shoreline models underpin long‐term coastal planning and hazard mitigation but are often limited by site‐specific calibration and simplified process representations. While machine learning (ML) approaches have recently matched or exceeded the skill of traditional models in deterministic shoreline forecasting, they have yet to demonstrate ...
Kit Calcraft, Joshua A. Simmons, Lucy A. Marshall, Kristen D. Splinter   +3 more
wiley   +1 more source

Downscaled ERA5 Land addresses agrometeorological data scarcity in North African basins. [PDF]

Sci Rep
Ouassanouan Y, Simonneaux V, Kharrou MH, Fakir Y, Baba MW, Hssaine BA, Hachimi CE, Sourp L, Chehbouni A.   +8 more
europepmc   +1 more source

CTRIP‐HyDAS: A Global‐Scale Data Assimilation Framework for SWOT‐Derived Discharge Using Synthetic Observations at High Resolution (1/12°)

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract The integration of satellite‐based observations into hydrological models offers transformation potential for improving discharge predictions globally, especially in regions lacking in situ measurements. This study presents CTRIP‐HyDAS, a global‐scale hydrological data assimilation framework that merges SWOT‐derived discharge observations with ...
Kaushlendra Verma, Simon Munier, Aaron Boone, Patrick Le Moigne   +3 more
wiley   +1 more source

Downscaled global 60-meter resolution estimates of irrigation water sources (2000-2015). [PDF]

Sci Data
Hung F, Chiarelli DD, Famiglietti JS, Müller MF.   +3 more
europepmc   +1 more source

Evaluating the Performance of Uni‐ and Multivariate Bias Correction Techniques: Challenges in Preserving Temporal and Dependence Structures

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Global Climate Models (GCMs) are essential for simulating past and future climates but suffer from systematic biases and coarse resolution, limiting direct applications. Bias correction (BC) and downscaling, using dynamical or statistical methods, address these issues. Quantile mapping (QM)‐based BC is widely used, yet it distorts dependencies,
Sachidananda Sharma, Akash Singh Raghuvanshi, Ankit Agarwal   +2 more
wiley   +1 more source

Update of the Köppen-Geiger climate classification for EFSA PLH risk assessment. [PDF]

EFSA J
European Food Safety Authority (EFSA), Rossi E, Maiorano A, Gobbi A.   +3 more
europepmc   +1 more source

Our Changing Climate Is Presenting Major Challenges to the Great Lakes Region

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 1, February 2026.
ABSTRACT The Earth's climate, including that of North America, is changing rapidly and the corresponding changes in temperature, precipitation, extreme weather, and other effects are accelerating. This changing climate is affecting the region around the Great Lakes and the physical behavior of the Great Lakes themselves, presenting new challenges to ...
Donald J. Wuebbles, Kenneth E. Kunkel
wiley   +1 more source