Results 141 to 150 of about 55,162 (247)

ACE2‐SOM: Coupling an ML Atmospheric Emulator to a Slab Ocean and Learning the Sensitivity of Climate to Changed CO2

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Although autoregressive machine learning‐based emulators have been trained to produce stable and accurate rollouts in the climate of the present‐day and recent past, none so far have been trained to emulate the sensitivity of climate to substantial changes in CO2 ${\text{CO}}_{2}$ or other greenhouse gases. As an initial step we couple the Ai2
Spencer K. Clark, Oliver Watt‐Meyer, Anna Kwa, Jeremy McGibbon, Brian Henn, W. Andre Perkins, Elynn Wu, Lucas M. Harris, Christopher S. Bretherton   +8 more
wiley   +1 more source

Feature Level Fusion of Seven Neighbor Bilinear Interpolation Data Sets of Finger Vein

, 2020
B. Arjun
openalex   +1 more source

Pan‐European High‐Resolution Downscaling Using Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract This study assesses the performance of a deep convolutional neural network in predicting near‐surface air temperature (T2m) and total precipitation (P) over Europe, comparing its results with the Copernicus European Regional Reanalysis (CERRA) and the dynamical regional model dynamical regional climate model (HCLIM) simulations.
Ramón Fuentes–Franco, Kristofer Krus, Mikhail Ivanov, Torben Koenigk, Fuxing Wang, Aitor Aldama‐Campino   +5 more
wiley   +1 more source

Deep Learning‐Based MultiSource Satellite Data Fusion and Downscaling for Tropical Cyclone Wind Fields

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract High‐resolution observations of ocean surface wind (OSW) are crucial for analyzing and forecasting tropical cyclones; however, current data are insufficient. While data sets such as the Cross‐Calibrated Multiplatform (CCMP) and ERA5 provide gap‐free wind fields, their 25 km resolution and tendency to underestimate cyclone wind speeds limit ...
Enze Zhang, Hui Su, Pak Wai Chan, Chengxing Zhai, Wensheng Zhou, Weifan Xu, Mingyuan Hu, Xingyi Li, Yuming Jia, Yinyu Song   +9 more
wiley   +1 more source

Comparative Evaluation of Deep Learning–Based Super–Resolution Models for Urban Flood Mapping

Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.
ABSTRACT Urban flood forecasting benefits from high‐resolution inundation maps, but fine‐grid hydrodynamic simulations are computationally costly. We compared three CNN–based super–resolution (SR) models, ResUNet, EDSR, and RCAN, for downscaling physics–based simulations in downtown Portland, Oregon, using paired flood maps at 1 m (HR) and both 4 and 8 
Hyeonjin Choi, Hyuna Woo, Hyungon Ryu, Dong Sop Rhee, Seong Jin Noh   +4 more
wiley   +1 more source

Explicit height estimates for CM curves of genus 2

Transactions of the London Mathematical Society, Volume 12, Issue 1, December 2025.
Abstract In this paper, we make explicit the constants of Habegger and Pazuki's work from 2017 on bounding the discriminant of cyclic Galois CM fields corresponding to genus 2 curves with CM and potentially good reduction outside a predefined set of primes. We also simplify some of the arguments.
Linda Frey, Samuel Le Fourn, Elisa Lorenzo García   +2 more
wiley   +1 more source

Temperature Variability Response in the Warm Eocene and Pliocene

Geophysical Research Letters, Volume 52, Issue 21, 16 November 2025.
Abstract Extreme temperature events, which are strongly influenced by temperature variability, are becoming increasingly dramatic under global warming. The temperature variability during past warm periods, like the Eocene and Pliocene, can provide useful analog information for our future climate.
Tiantian Shen, Ran Zhang, Jiawen Shi, Junsheng Nie, Peng Gao   +4 more
wiley   +1 more source

Future Meiyu Precipitation Change and Atmospheric River Impacts Across East Asia: Regional Disparities and Risks

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 21, 16 November 2025.
Abstract Abnormally extreme Meiyu precipitation in East Asia is significantly influenced by atmospheric rivers (ARs), which can trigger severe natural disasters and great socioeconomic losses. Yet projected changes in Meiyu rainfall and its coupling with ARs remain uncertain.
Oscar Y. W. Zhang, Lun Dai, Mengqian Lu
wiley   +1 more source

Interpolation of some spaces of Orlicz type. II: Bilinear interpolation

, 1989
A result on interpolation of bilinear operators on A f,F spaces is proved. The corresponding results of Lions and Peetre as well as Zafran turn out to be particular cases of the one given here.
openaire   +2 more sources

Reversal of Kuroshio‐Oyashio Extension SST Anomalies Between Early‐ and Late‐Autumn Is Primarily Driven by Atmospheric Variability

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 21, 16 November 2025.
Abstract Mid‐latitude Kuroshio‐Oyashio extension sea surface temperature (SSTKOE) modulates climate extremes, affecting coastal and insular humans. However, unconcern about the subseasonal variability of SSTKOE substantially existed in previous studies.
Xiaoqing Ma, Zhicong Yin, Huijun Wang
wiley   +1 more source