Global Forecast System
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Related Articles from SNS
New warning system forecasts wildlife heat risk up to nine months ahead
An international group of scientists led by Josep M. Serra-Diaz, researcher at the Botanical Institute of Barcelona (IBB, CSIC-MCNB), has developed the first global early warning system capable of forecasting when and where vertebrate species will be exposed to unprecedented heat up to nine months in advance. The study, published in Nature Climate Change, demonstrates how operational climate prediction tools can be repurposed to anticipate biological risks in near-real time, providing the...
Performance Evaluation of GraphCast for Medium-Range Weather Forecasting over Brazil
Announce Type: new Abstract: The paradigm of global weather forecasting is rapidly shifting with the emergence of Machine Learning Weather Prediction models (MLWP). While these data-driven architectures demonstrate remarkable global skill, regional benchmarks in the Global South remain scarce, leaving their efficacy in complex, highly convective environments largely unverified. This study evaluates the performance of GraphCast operational against the deterministic ECMWF IFS HRES as baseline...
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
arXiv:2606.07725v1 Announce Type: new Abstract: Displacement time series from Global Navigation Satellite Systems (GNSS) are essential for a wide range of applications, including monitoring tectonic crustal deformations and investigating the different stages of the earthquake cycle. Machine learning methods have proven promising for GNSS applications; however, most remain fully supervised. This creates a bottleneck as labeled data are scarce, even though large amounts of unlabeled GNSS data...
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
arXiv:2606.07725v1 Announce Type: cross Abstract: Displacement time series from Global Navigation Satellite Systems (GNSS) are essential for a wide range of applications, including monitoring tectonic crustal deformations and investigating the different stages of the earthquake cycle. Machine learning methods have proven promising for GNSS applications; however, most remain fully supervised. This creates a bottleneck as labeled data are scarce, even though large amounts of unlabeled GNSS...
Observation-driven correction of numerical weather prediction for marine winds
arXiv:2512.03606v2 Announce Type: replace Abstract: Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, heterogeneous, and temporally variable. We present an observation-informed correction approach for global numerical weather prediction (NWP) of marine winds. Rather than forecasting winds directly, we learn local correction patterns by assimilating the latest...
Scientists warn Trump plan to axe US ocean monitoring system will leave world ‘flying blind’
Experts say dismantling the ocean observation system will ‘severely degrade’ the accuracy of weather predictionsThe Trump administration’s plan to dismantle an ocean observation system vital to understanding the climate crisis and marine ecosystems would “severely degrade” the accuracy of weather predictions and El Niño forecasts, with economic consequences for the US, European and American scientists have warned. Decommissioning the US system, which plays a major part in a global ocean...
Scientists warn Trump plan to axe US ocean monitoring system will leave world ‘flying blind’
Experts say dismantling the ocean observation system will ‘severely degrade’ the accuracy of weather predictionsThe Trump administration’s plan to dismantle an ocean observation system vital to understanding the climate crisis and marine ecosystems would “severely degrade” the accuracy of weather predictions and El Niño forecasts, with economic consequences for the US, European and American scientists have warned. Decommissioning the US system, which plays a major part in a global ocean...