Results 191 to 200 of about 2,660,815 (249)

Integrating the MARTINI2 coarse‐grained force field into HADDOCK3 for faster modeling of large biomolecular complexes

Protein Science, Volume 35, Issue 10, October 2026.
Abstract The integration of coarse‐grained (CG) approaches into docking workflows offers a powerful strategy for modeling large biomolecular assemblies with reduced computational costs. We present here the implementation of the MARTINI2 CG force field into the HADDOCK3 integrative modeling platform.
Raphaelle Versini, Victor Reys, Anna Kravchenko, Rodrigo V. Honorato, Alexandre M. J. J. Bonvin   +4 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

Assessment of Wind‐Farm‐Atmosphere Interactions at the Sørlige Nordsjø II Large Offshore Wind Farm: A Comparative LES and Analytical Wake Study

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Sørlige Nordsjø II (SNII) is a planned large‐scale offshore wind farm in the Southern Norwegian North Sea near the Danish border, with phased development targeting a total installed capacity of up to 3 GW. For projects of this scale, site assessments are typically performed using computationally efficient analytical models.
Mostafa Bakhoday Paskyabi, Xu Ning
wiley   +1 more source

Downscaling the spatial resolution of satellite imagery based on morphometric parameters to estimate the Topographic Wetness Index using GIS tools. [PDF]

Sci Rep
Shabbir H, Ehsan M, Raza D, Sohail MT, Alqahtani H, Almutairi R, Almutairi Y.   +6 more
europepmc   +1 more source

Downscaling of Tropical Cyclone Surface Wind Fields With a Hybrid Attention Transformer

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract This study employs a Hybrid Attention Transformer‐based super‐resolution model to reconstruct tropical cyclone (TC) surface wind fields. The model downscales coarse‐resolution ERA5 reanalysis data to high‐resolution HWind analyses (1998–2013), increasing the horizontal resolution by a factor of five.
Chunhua Wang, Dazhi Xi, Na He, Shuai Wang, Kekuan Chu   +4 more
wiley   +1 more source

Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Predicting weather and climate hazards typically relies on computationally expensive kilometer‐scale numerical models. This study introduces a U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer resolution.
Hongxing Cui, Hari Prasad Dasari, Siva Reddy Sanikommu, Yiling Zheng, Sateesh Masabathini, Xiaowei Gu, Ibrahim Hoteit   +6 more
wiley   +1 more source

Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches. [PDF]

Sensors (Basel)
Ma Z, Chen P, Chen H, Liu H, Zhang Y, Huang B, Hong Y, Sun S.   +7 more
europepmc   +1 more source

AI‐Based Regional Emulation for Kilometer‐Scale Dynamical Downscaling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract An AI‐based Limited‐Area Model (LAM) is developed for dynamical downscaling over the Southern Great Plains and the southeastern United States, with strong generalization abilities under diverse boundary conditions. The model is trained using 0.25° ${}^{\circ}$, 3‐hourly ERA5 as forcings and CONUS404 as targets in 1980–2019, producing 4‐km ...
Yingkai Sha, Tracy Hertneky, Ethan D. Gutmann, Seth McGinnis, Rachel McCrary, Lulin Xue, David John Gagne II, Kathryn Newman, Andrew Newman   +8 more
wiley   +1 more source

Impact of global climate change induced variations in reservoir-river systems on fish habitats. [PDF]

Sci Rep
Zhao G, Tian S, Zhang F, Hu Y, Chen R, Huang B, Duan J.   +6 more
europepmc   +1 more source

Infrared‐Guided Super‐Resolution of Remotely Sensed Passive Microwave Sea Surface Temperature

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract High‐resolution sea surface temperature (SST) is essential for weather forecasting and climate applications. Passive microwave (MW) SST offers largely cloud‐penetrating coverage but is coarse and spatially smoothed, whereas infrared (IR) SST resolves fine‐scale structures but is frequently cloud‐obscured.
Wenjie Zhou, Xiaofeng Yang
wiley   +1 more source