Results 211 to 220 of about 31,321 (299)

High-resolution microclimatic grids for the Bohemian Forest Ecosystem based on in situ measurements. [PDF]

Sci Data
Brůna J, Macek M, Man M, Hederová L, Klinerová T, Moudrý V, Heurich M, Červenka J, Wild J, Kopecký M.   +9 more
europepmc   +1 more source

Missing Summer Westerly Jet Barotropic Governor Effect Explains Climate Models—Observation Discrepancies in the Indian Monsoon Trends

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract The South Asian summer monsoon has exhibited a pronounced Northwest India‐Indo‐Gangetic Plains rainfall dipole since 1999, with northwest India experiencing a 24.6% increase, while rainfall in the Indo‐Gangetic Plain has decreased by 4.4%.
Nimmakanti Mahendra, Nagaraju Chilukoti, Xiaoqing Liu, Jasti S. Chowdary, Lei Wang, Matthew Huber   +5 more
wiley   +1 more source

Two-decade in-situ oceanographic and meteorological observations from Ieodo Ocean Research Station in the northern East China Sea. [PDF]

Sci Data
Kim GU, Min Y, Lee SW, Oh H, Jeong J, Ok J, Lee J, Lee SC, Min IK, Jeong E, Jeong KY, Ham H, Jeong JY.   +12 more
europepmc   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

The emerging human fingerprint on global extreme fire weather. [PDF]

Sci Adv
Turco M, Moreno A, Garnés-Morales G, Torres-Vázquez MÁ, Di Giuseppe F, Bedia J, Herrera S, Provenzale A, Abatzoglou JT.   +8 more
europepmc   +1 more source

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh, Ravi Kumar Kunchala, Sarvesh Dubey, Chiranjit Das, Balaji Baduru   +4 more
wiley   +1 more source

Global coastal wind hazard maps from the CHAZ tropical cyclone model. [PDF]

Sci Data
Meiler S, Lee CY, Camargo SJ, Sobel AH.
europepmc   +1 more source

Improving Global Surface Soil Moisture Prediction Through Physics‐Guided Deep Learning and Cluster‐Based Regionalization

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Surface soil moisture (SSM) is essential to the hydrological cycle and land–atmosphere interactions, and its accurate simulation is crucial for climate prediction and resource management. This study developed an innovative modeling framework for global SSM prediction by integrating physics‐guided deep learning (PGDL) and clustering‐based ...
Xuan Xi, Qianlai Zhuang
wiley   +1 more source

The Inhomogeneous Characteristics of Evaporation Ducts in the Northern South China Sea Based on Information Entropy. [PDF]

Entropy (Basel)
Yang N, Su D, Feng Y, Wang T.
europepmc   +1 more source

Evaluating Model Sensitivity of Various Data Input Resolutions for Large Scale Flood Inundation Modeling for Hurricane Helene, NC

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 3, June 2026.
ABSTRACT This study applies a statistically sound methodology for contrasting real‐valued datasets against simulated results generated from the US Army Engineer Research and Development Center's Coastal and Hydraulics Laboratory's first‐order flood inundation hydrologic modeling suite, AutoRoute, to determine the impact of spatial resolution on flood ...
Joshua Smallwood, Robert Pennell, Emily S. Ondich   +2 more
wiley   +1 more source