Results 81 to 90 of about 4,394 (252)

First Derivations of Air‐Sea CO2 Fluxes in the Central Mediterranean and Possible Impact of the 2022–2023 Marine Heatwave

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract Marginal seas significantly impact the global carbon cycle. However, current knowledge on the role of marginal seas is limited, and only a few in situ data sets on air‐sea CO2 exchange are available. This study presents the first direct measurements of CO2 partial pressure (pCO2 ${\text{CO}}_{2}$) and derived air‐sea CO2 ${\text{CO}}_{2}$ flux
Mattia Pecci   +12 more
wiley   +1 more source

SynQPF‐Net: Short‐Term Precipitation Forecasts by Integrating GraphCast Predictions and High‐Resolution Observational Analyses

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract While data‐driven global weather models (e.g., GraphCast) excel at large‐scale circulation forecasts, they exhibit systematic biases in heavy precipitation prediction due to European Centre for Medium‐Range Weather Forecasts Reanalysis (ERA5) uncertainties and neural networks' tendency to over‐smooth rainfall fields.
Dandan Chen, Dan Yao, Yaqiang Wang
wiley   +1 more source

Wildfire Ignition‐Day Vapor Pressure Deficit Trend and Its Weakening Atmospheric Circulation Control Over the Western United States

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Vapor pressure deficit (VPD) is a key fire weather indicator linked to increased burned areas in western US. Despite a strong increase in regional VPD due to climate change, we find no significant trend in VPD on fire ignition days (VPDF). This discrepancy is due to a decreasing climatological mean (VPDF‐m), driven by the expansion of fires ...
Yizhou Zhuang, Rong Fu
wiley   +1 more source

Evaluating Machine Learning Weather Models for Data Assimilation: Fundamental Limitations in Tangent Linear and Adjoint Properties

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Machine learning (ML) weather models like GraphCast and NeuralGCM show forecasting promise but face fundamental limitations for data assimilation (DA) integration. This study reveals critical problems in error covariance representation and adjoint sensitivity patterns challenging their operational viability.
Xiaoxu Tian   +2 more
wiley   +1 more source

On possibilities of improving the accuracy of the geocentric gravitational constant GM by combining SLR and atomic clocks measurements

open access: yesContributions to Geophysics and Geodesy
Nowadays, the geocentric gravitational constant GM is determined by solving equations of motion for trajectories of artificial satellites measured by Satellite Laser Ranging (SLR). The estimated value of GM and its uncertainty 398600441.8 ± 0.8×106 m3s−2
Robert TENZER   +2 more
doaj   +1 more source

Remote Forcing of Super Typhoon Mawar on the 2023 Quebec Wildfires

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Typhoons and wildfires are major global climate and environmental hazards, yet their potential interactions remain poorly understood, particularly through remote atmospheric forcing. Taking the 2023 Quebec wildfires as an example, we investigate how a tropical cyclone can influence wildfire‐favorable conditions.
Anbao Zhu   +11 more
wiley   +1 more source

Event‐Level Linkages Between Atmospheric Circulation and Anomalous Precipitation Types in a Typical East Asian Monsoon Basin

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Anomalous precipitation, with unexpected intensity and/or spatiotemporal structures, makes flood risk management in the East Asian monsoon regions challenging, where interacting circulation systems generate highly variable precipitation events.
Wenpeng Zhao   +8 more
wiley   +1 more source

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