Results 81 to 90 of about 1,295,590 (232)
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
Changes on snow depth as a part of the climate change in ERA5-Land dataset [PDF]
Tutkielmassa on selvitetty lumensyvyyden muutoksia ERA5-Land-uudelleenanalyysin antamille tuloksille ajanjaksolla 1950-2021. Datan analyysi ja käsittely on toteutettu Pythonilla.
Suikkari, Riikka
core
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
From grid to ground: how well do gridded products represent soil moisture dynamics in natural ecosystems during precipitation events? [PDF]
Soil moisture (SM) is a critical variable governing land–atmosphere interactions and influencing ecohydrological and climatic processes. Despite substantial progress in estimating SM through remote sensing and land surface models, considerable ...
D. A. Núñez-Ibarra +9 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
Characterization of the tropospheric attenuation affecting Earth-space links using ERA5 data [PDF]
LAUREA MAGISTRALEQuesto lavoro tratta dei principali effetti troposferici su un collegamento Terra-Spazio utilizzando il set di dati ERA5. Infatti, quando un'onda elettromagnetica attraversa la troposfera attraversa nuvole, pioggia e gas che provocano l ...
Pelat, Estelle Audrey
core
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
Fusing ERA5-Land and SMAP L4 for an improved global soil moisture product (1950–2025) [PDF]
Accurate, high-resolution soil moisture data are critical for hydrological modeling, climate studies, and ecosystem management. Unfortunately, current existing global products suffer from inconsistencies, coverage gaps, and biases.
W. Wang +7 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
In this study, the synoptic conditions for modes of mesoscale convective systems (MCSs) in South Korea are generalized based on composite analysis. The preferred precipitation region, synoptic patterns, moisture transport, sea surface temperature and thermodynamic and dynamic instabilities are characterized according to four modes: convective cells (CC)
Jeong‐Eun Lee, GyuWon Lee
wiley +1 more source

