Results 31 to 40 of about 933 (246)
Subseasonal Predictability of Weekly Rainfall and Rainy Season Onset Over East Africa
This study evaluates the subseasonal predictability of weekly rainfall and rainy season onset over East Africa using the ECMWF extended range forecast model. Results show strong skill in forecasting weekly rainfall up to 4 weeks ahead, with higher accuracy during the March–May ‘long rains’ season.
Emmah Mwangi +3 more
wiley +1 more source
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
Spigot capacity of dense medium cyclones [PDF]
Dissertation (MEng (Metallurgical))--University of Pretoria, 2008.Dense medium cyclones are used extensively in the mineral processing industry to beneficiate various minerals including coal, diamonds and iron ore, amongst others.
core
Dynamic model for a dense medium drum separator in coal beneficiation [PDF]
Dense medium drum (DMD) separators are unit processes that are typically used to beneficiate coal, iron ore and other minerals by making use of density separation. Some coal dense medium separation plants typically include a DMD separator.
Craig, Ian Keith, Meyer, Ewald Jonathan
core +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
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
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
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Ultrasonically-Enhanced Dense-Medium Cycloning for Fine Coal and Coal Refuse Impoundment Materials
The Pennsylvania State University, its project team (Typlex, Inc., DAGER, Inc., and PrepTech, Inc.), and advisory committee members have demonstrated the application of ultrasonic energy during dense-medium cyclining and subsequent recovery of fine coal ...
Klima, Mark S., Arnold, Barbara J.
core +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

