Results 101 to 110 of about 16,111 (291)
Polar‐low track prediction using machine‐learning methods
Quarterly 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
Intercomparison of Assimilated Coastal Wave Data in the Northwestern Pacific Area
Journal of Marine Science and Engineering, 2020 The assimilated coastal wave data are useful for wave climate study, coastal engineering, and design for marine disaster protection. However, the assimilated coastal wave data are few.
Yukiharu Hisaki
doaj +1 more source
Supplement 1. Daily mean temperature (ERA5)
, 2023 ERA5 daily temperature for 2021 and 1951-1990 mean raster files. Then, the temperature values were extracted for 4-km gridded points across affected region in 2021 heat dome event.
Zihaohan Sang (11182185)
core +1 more source
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley +1 more source
Лëд и снегVariability of the Pechora Sea ice cover and the Barents Sea surface temperature during the season from October to June in 2002–2022 (except the season of 2011/2012) was studied on the basis of satellite observations and reanalysis ERA5. Influence of the
E. V. Lvova, E. V. Zabolotskikh
doaj +1 more source
Journal of Hydrology: Regional StudiesStudy region: China. Study focus: Accurate estimation of potential evapotranspiration (PET) is essential for understanding climate change. Using ground-based pan evaporation measurements over continental China, the monthly scale PET data during 2000–2017 of ERA5, ERA5-Land, GLDAS-2.1/Noah, and GLEAM V3.8a are evaluated, from the perspectives of their ...
Chao Xu +3 more
openaire +2 more sources
An opportunity index to anticipate when subseasonal predictions are useful
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
Beyond meteorological data: Modelling tree growth with ERA5-Land [PDF]
Forests are increasingly impacted by climate change, affecting tree growth and carbon sequestration. Tree-ring width, closely related to tree growth, is a key climate proxy, yet models describing ring width or growth often lack comprehensive ...
Pucher, Christoph +5 more
core +1 more source
CameronMcE/cycloneswindsat: ERA5 WindSat comparison initial release zenodo
, 2023 About Data used in the journal manuscript 'An assessment of Southern Hemisphere extra-tropical cyclones in ERA5 using ...
Cameron McErlich
core +1 more source