Impacts of Cross-Regional Transport on Ozone Pollution in the Fen-Wei Plain: Insights from Multi-Source Observations and Model Simulation. [PDF]
Han Y +5 more
europepmc +1 more source
Exploiting Aeolus winds in a regional numerical weather prediction model
Aeolus measured winds have proven to be beneficial for global models. However, demonstrating positive impact for limited‐area models has been a challenge so far. For the first time, we have demonstrated a statistically significant positive impact of Aeolus winds in a limited‐area model by using the 4DVar data assimilation technique and the most recent ...
Gert‐Jan Marseille +3 more
wiley +1 more source
A high-resolution historical long-term gridded daily meteorological data set for agricultural climate change analysis in Japan. [PDF]
Ishigooka Y +7 more
europepmc +1 more source
We investigate whether Central European heatwaves (HWs) forming under omega blocking differ from those enabled by subtropical ridges, in terms of both air‐mass origin and processes warming air parcels along their way. Using ERA5‐based backward trajectories and a Lagrangian temperature anomaly decomposition, we identify significant differences in the ...
Alexander Lemburg +3 more
wiley +1 more source
Kilometer-scale convection-allowing model emulation using generative diffusion modeling. [PDF]
Pathak J +10 more
europepmc +1 more source
Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley +1 more source
Thermodynamic-microphysical coupling mechanisms of hydrometeor phase transitions during persistent wind turbine icing. [PDF]
Tang J +6 more
europepmc +1 more source
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti +3 more
wiley +1 more source
Record-breaking Greenland ice sheet melt events under recent and future climate. [PDF]
Bonsoms J +5 more
europepmc +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source

