Results 171 to 180 of about 32,789 (349)
The diurnal cycle of tropospheric Zenith Total Delays (ZTD) is critical for refining tropospheric models and understanding key geophysical and atmospheric processes.
Peng Yuan +10 more
doaj +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
An opportunity index to anticipate when subseasonal predictions are useful
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler +4 more
wiley +1 more source
Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi +3 more
wiley +1 more source
Reanalyses are utilized for calculating climatological trends due to their focus on temporal consistency. ERA5 reanalysis family has proven to be a valuable and widely used product for trend extraction.
Cristian Lussana +4 more
doaj +1 more source
ABSTRACT Regulated rivers represent complex hydrological systems where groundwater–surface water interactions are governed by natural conditions and human interventions. This study investigates the spatiotemporal dynamics of groundwater–surface water exchanges in the Nechako River, British Columbia (Canada), using numerical simulations.
Milad Fakhari +4 more
wiley +1 more source
A devastating flood occurred in May 2023 in the Emilia‐Romagna region in northern Italy after 2 days with widespread accumulated precipitation exceeding 150mm. The event was associated with a quasi‐stationary upper‐level cutoff cyclone. This study investigates the performance of the operational ECMWF ensemble prediction system in capturing the cutoff ...
Hei Tung Wu +2 more
wiley +1 more source
Energy and carbon footprint considerations for data‐driven weather forecasting models
Recently introduced data‐driven models often display impressive gains in energy‐efficiency, but such gains usually exclude the cost of training. This study gives orders of magnitude of the energy consumed during the training and compares it to a physics‐based model counterpart. We show that the training is rapidly compensated by the savings made during
Thomas Rieutord +3 more
wiley +1 more source
This study examines the performance of state‐of‐the‐art artificial intelligence (AI) weather forecasting models in 2024. For tropical cyclone genesis forecasts in the western North Pacific, AI models generally perform better than the physics‐based European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS ...
C. H. Ho +3 more
wiley +1 more source

