Results 161 to 170 of about 168,664 (292)

Comparison of two numerical weather prediction models in simulating south foehn in the Alpine Rhine Valley

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
ICON outperforms COSMO in simulating a south foehn event in the Alpine Rhine Valley, with improved accuracy in temperature, wind speed, and foehn timing. This enhanced performance likely results from a more accurate representation of surface energy balance and gravity wave pattern on the lee side of the mountain.
Yue Tian   +3 more
wiley   +1 more source

Performance evaluation of regional weather predictions with the Model for Prediction Across Scales – Atmosphere (MPAS‐A) over the Maritime Continent

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
As part of the ongoing efforts to develop next‐generation forecasting systems at the Meteorological Service Singapore, this study presents the setup and evaluation of the SINGV_NG(MPAS) system. Overall, the SINGV_NG(MPAS) system outperforms European Centre for Medium‐Range Weather Forecasts (ECMWF) deterministic forecasts in capturing heavy rainfall ...
I‐Han Chen   +7 more
wiley   +1 more source

Present and future downslope windstorms in the Scandinavian Mountains from a kilometre‐scale climate model

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Kilometre‐scale climate simulations for Scandinavia indicate the importance of high resolution for reproducing downslope windstorms (DWs). Scandinavian DWs on average induce a limited local warming but with large variability due to the region's complex orography.
Patrik Jureša   +5 more
wiley   +1 more source

Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale. [PDF]

open access: yesSci Rep
Tanhapour M   +7 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang   +4 more
wiley   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff   +1 more
wiley   +1 more source

Reduced snow cover at the alpine treeline: resistance and recovery of saplings. [PDF]

open access: yesNew Phytol
Charra-Vaskou K   +4 more
europepmc   +1 more source

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