Results 121 to 130 of about 1,616,544 (277)
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
Benchmarking Snow Fields of ERA5-Land in the Northern Regions of North America
Abstract. Reanalysis products provide new opportunities for assessments of historical Earth System states. This is crucial for snow variables, where ground-based observations are sparse and incomplete, and remote sensing measurements still face limitation.
Sarpong, Robert, Nazemi, Ali
openaire +2 more sources
The Qinghai-Xizang Plateau, distinguished by its vast array of lakes, exhibits marked seasonal lake ice coverage, which is highly responsive to climatic shifts.This ice coverage plays a crucial role in the dynamic interchange of fluxes between the lake ...
Liuyiyi YANG +4 more
doaj +1 more source
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
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
Validação da radiação solar global do era5-Land para o município de Humaitá-Amazonas.
A da Radiação Solar Global, desempenha um importante papel nos estudos meteorológicos. Dados confiáveis são essenciais para embasar análises climáticas e decisões nesta área. Devido à escassez de estações meteorológicas no Brasil, há uma crescente utilização de dados provenientes de reanálises.
Willian Félix Galvao +6 more
openaire +2 more sources
Reanalysis datasets are a viable alternative to ensure the continuity of hydrological studies and to assess climate variability in regions where the availability and/or quality of observational data is limited.
René Bodjrènou +2 more
doaj +1 more source
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
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
Reanalysis datasets have been extensively used to estimate the power generation potential of solar photovoltaic (PV) systems owing to their global coverage, inclusion of multiple variables, and high temporal resolution. However, the spatial resolution of
Qingrui Wang +4 more
doaj +1 more source
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff +8 more
wiley +1 more source

