Results 201 to 210 of about 36,199 (290)

Global Diurnal Precipitation Cycle in the AI Model GraphCast and a 5‐km Unified Model: Challenges and Opportunities

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract This study evaluates the ability of the AI weather forecast model GraphCast to reproduce the global diurnal cycle of boreal summer precipitation, comparing it with Integrated Multi‐satellite Retrievals for GPM (IMERG) satellite observations, the ERA5 reanalysis, and an experimental global 5‐km Met Office Unified Model (UM) which is convection ...
Emanuele Silvio Gentile, Kieran M. R. Hunt, Lorenzo Tomassini, Ben Harvey, Oscar Martinez‐Alvarado   +4 more
wiley   +1 more source

Copernicus Data Space Ecosystem establishes public cloud processing for earth observation data. [PDF]

Sci Data
D Kovács D, Musial J, Bojanowski J, Clarijs D, de la Mar J, Zlinszky A.   +5 more
europepmc   +1 more source

Interseismic, Coseismic, and Early Postseismic Slip Associated With the 2025 Mw 8.8 Kamchatka Earthquake

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Unraveling the surface deformation and fault kinematics during the seismic cycle is crucial for understanding earthquake physics. Herein, we use geodetic and seismic observations to quantify the interseismic coupling, coseismic rupture, and postseismic afterslip associated with the 2025 Mw 8.8 Kamchatka earthquake.
Yang Xiao, Jingqi Wang, Yijun Zhang, Wenting Zhang, Jiangcun Zhou, Heping Sun, Yabo Zhao, Anas Osman, Rumeng Guo   +8 more
wiley   +1 more source

A Novel Time-Frequency Similarity Method for P-Wave First-Motion Polarity Detection. [PDF]

Sensors (Basel)
Yao Y, Xu X, Wang J, Liu L, Ma Z.
europepmc   +1 more source

Understanding the Influence of Soil Moisture on Machine Learning Predictions of Photosynthesis and Evapotranspiration

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Evapotranspiration (ET) and photosynthesis are key processes in ecosystem functioning on which soil moisture (SM) has an important influence. Eddy covariance measurements and machine learning (ML) increasingly enable flux prediction in ungauged regions.
Daniel Power, Miguel Angel Rico‐Ramirez, Pierre Gentine, David McJannet, Martin Schrön, Corinna Rebmann, Humberto da Rocha, Rafael Rosolem   +7 more
wiley   +1 more source

Evaluation of GPS/BDS-3 PPP-AR Using the FCBs Predicted by GA-BPNN Method with iGMAS Products. [PDF]

Sensors (Basel)
Wang J, Yang G, Liu Q, Xu Y.
europepmc   +1 more source

Apollo 17 Lunar Surface Gravimeter as a Seismometer: Relocating Shallow‐Moonquake Sources and Implications for Source Mechanism

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Among the reported seismic events on the Moon, shallow moonquakes are known for their unique features, such as high‐frequency energy excitation, similarity to intraplate earthquakes, and the largest energy release of all reported moonquakes. Despite these interesting features, a small number of samples (<80 events) and sparse seismic network ...
Keisuke Onodera, Taichi Kawamura
wiley   +1 more source

Author Correction: Exploring steric sea level variability in the Eastern Tropical Atlantic Ocean: a three-decade study (1993-2022). [PDF]

Sci Rep
Ghomsi FEK, Mohamed B, Raj RP, Bonaduce A, Abiodun BJ, Nagy H, Quartly GD, Johannessen OM.   +7 more
europepmc   +1 more source

Assessing the Role of Tropical Cyclones on Drought Characteristics in the Hurricane Region of the Americas Between 1983 and 2024

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 9, 16 May 2026.
Abstract Droughts and tropical cyclones (TCs) are among the deadliest and costliest natural hazards and are expected to intensify in the twenty‐first century due to anthropogenic climate change. The Hurricane Region of the Americas (HRA), an area frequently affected by TCs and droughts, is home to some of the most vulnerable countries to these hazards ...
Dimitris A. Herrera, Christian Domínguez, Abel Centella, Ricardo Sánchez‐Murillo, Hugo G. Hidalgo, Benjamin I. Cook, Justin T. Maxwell, Diego Pons, Joshua C. Bregy, Maibys Sierra‐Lorenzo, Arnoldo Bezanilla, Carlos M. Carrillo, Yijie Zhu, Kelly Núñez Ocasio, Michael Taylor, Tannecia Stephenson, Jhordanne Jones, Jordyn Hammel, Karson Holliday   +18 more
wiley   +1 more source

Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation. [PDF]

Commun Eng
Li J, Wu X.
europepmc   +1 more source