Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth +7 more
wiley +1 more source
Spatio-temporal analysis of dengue outbreaks in India (2021-2025): evidence from the secondary analysis of Integrated Disease Surveillance Programme. [PDF]
Marinaik SB +9 more
europepmc +1 more source
Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga +5 more
wiley +1 more source
Exploratory Associations Between Climatic, Environmental, and Surveillance Indicators and Human West Nile Virus Infections in Apulia: A Bayesian Spatio-Temporal Analysis. [PDF]
Lorusso L +5 more
europepmc +1 more source
Error in ERA5 2‐m temperature identified using GraphCast
We identify a recurrent error in ERA5 2‐m temperature over the Ethiopian Highlands that occurs predominantly at 0600 UTC on ≈7%$$ \approx 7\% $$ of dates. The artefact is caused by the 2D optimal‐interpolation scheme assimilating temporally displaced surface reports (e.g., 0900 UTC) into the 0600 UTC analysis.
Hannah M. Christensen +5 more
wiley +1 more source
Shorter Recovery Periods Between Smoke Waves: A Spatio-Temporal Analysis in California (2006-2020). [PDF]
Jones-Ngo CG +4 more
europepmc +1 more source
This study evaluates the subseasonal predictive skill of tropical–extratropical cloud bands across four subtropical convergence zones in ECMWF reforecasts (2003–2022). Results show that, while exact daily predictions are limited to one week, accounting for temporal displacement improves forecast skill significantly, revealing a systematic early onset ...
Romain Pilon, Daniela I.V. Domeisen
wiley +1 more source
Spatio-temporal analysis and geostatistical modelling of onchocerciasis prevalence in Nigeria to support elimination efforts. [PDF]
Babalola AS +15 more
europepmc +1 more source
Regional deep learning weather prediction (DLWP) models, such as Bris, offer high resolution forecasts comparable with traditional numerical weather prediction (NWP) models. We evaluated Bris against the operational MetCoOp Ensemble Prediction System (MEPS) during extratropical cyclone Poly (July 5, 2023).
Francesco Pasquini +4 more
wiley +1 more source
A Psychoacoustic Feature Extraction and Spatio-Temporal Analysis Framework for Continuous Aircraft Noise Monitoring. [PDF]
He T, Hou J, Chen D.
europepmc +1 more source

