Results 201 to 210 of about 1,631,931 (302)
Nowcasting convective cores using deep learning
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad +5 more
wiley +1 more source
Seasonal and spatial trends of rickettsioses in Sri Lanka (2009-2023): Spatio-temporal analysis and climate-linked modeling. [PDF]
Gunathilaka N, Jayakody D, Dilshan I.
europepmc +1 more source
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 dataset of energy infrastructure attacks in Nigeria (2009-2025). [PDF]
Inuwa H, Leonard A, Hirmer S.
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
Quantum-optimized spatio-temporal transformer for multimodal cardiovascular risk prediction from clinical and wearable data. [PDF]
Sathya S, Saranya K.
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
A Spatio-Temporal Diffusion Model for Cardiac Real-Time Imaging. [PDF]
Schad O +8 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
Bayesian modelling of spatio-temporal dynamics for early-warning and control of severe malaria in Cameroon. [PDF]
Nji AM +13 more
europepmc +1 more source

