Results 161 to 170 of about 2,042,519 (287)

Application of Non‐Isothermal Network Theory With Curved‐Channel Element Characteristics to Predict Melt Conveying in High‐Performance Single‐Screw Extruders

Journal of Polymer Science, EarlyView.
This study presents a fast and accurate calculation tool to predict conveying of polymer melts in single‐screw extruders. Integrating generalized sub‐models into network theory allows to represent the complex screw shapes and material behavior more realistically. Tests on an industrial extruder show close agreement with experiments, outperforming older
Daniel Herzog, Wolfgang Roland, Christian Marschik, Gerald Berger‐Weber   +3 more
wiley   +1 more source

The role of the synoptic‐scale conditions in driving fog and mist during the FATIMA July 2022 Sable Island Field program

Quarterly Journal of the Royal Meteorological Society, EarlyView.
ERA5 hourly 325‐m and 1512‐m (a) convergence and (b) vertical motion (actually pressure change with sign reversed to compare with convergence) over Sable Island around the time of an event. The mist (green) and fog (red) occurrences at the surface station are shown at the bottom of the figures. A 325‐m fitted line convergence was positive for the first
Clive E. Dorman, Darko Koračin, Reneta Dimitrova, Ismail Gultepe, Sebastian W. Hoch, Jesus Ruiz‐Plancarte, Qing Wang, Alexei Perelet, H. J. S. Fernando   +8 more
wiley   +1 more source

Impact of Weak‐Constraint Four‐Dimensional Variational data assimilation on the prediction of a sudden stratospheric warming event in 2024

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Weak‐Constraint Four‐Dimensional Variational (WC‐4DVAR) system markedly improved the analysis and forecasting of the 2024 sudden stratospheric warming (SSW) event. It reduced biases and enhanced 7–9 day predictions of temperature across the SSW life cycle, with the most pronounced gains for winds also during the critical onset period.
Shaoying Li, Weimin Zhang, Shuo Ma, Bainian Liu, Yanlai Zhao, Xiaoqun Cao   +5 more
wiley   +1 more source

Applications of Acoustic Waves in Micro-Droplet Technologies. [PDF]

Biosensors (Basel)
Liu J, Chen L, Peng Z, Cluff ZB, Ry PV, Rich J, Zhong R.   +6 more
europepmc   +1 more source

Shear wave splitting studies in Amazon Craton

Proceeding of the 17th International Congress of the Brazilian Geophysical, 2021
openaire   +1 more source

Multiscale numerical sensitivity simulations of a mesoscale gravity‐wave event

Quarterly Journal of the Royal Meteorological Society, EarlyView.
High‐resolution WRF simulations of the February 14–15, 1992 STORM‐FEST event show that mesoscale gravity‐wave genesis occurs via geostrophic adjustment within an upper‐level unbalanced jet, while wave ducting governs maintenance. High‐resolution (1 km), improved physical parameterization, and targeted sensitivity simulations demonstrate that upstream ...
Rajan Bhandari, Michael L. Kaplan, Ananya Sen   +2 more
wiley   +1 more source

Acoustic Control of Spin States in Diamond Nitrogen-Vacancy Centres. [PDF]

Nano Lett
Kutsal E, Payam AF, Abdel-Rahman E, Yavuz M, Li L.   +4 more
europepmc   +1 more source

Multiscale controls on diurnal convection in the Maritime Continent: Insights from high‐resolution observations in Timika

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Across the Maritime Continent, diurnal rainfall variability is governed by interactions between regional‐scale atmospheric drivers and local land–sea breeze circulations. Afternoon convection is initiated over land by surface heating and propagates offshore, whereas morning rainfall develops over adjacent seas and moves inland under low‐level northerly
Dony Christianto, Robert S. Plant, Thorwald H. M. Stein, Steve J. Woolnough   +3 more
wiley   +1 more source

Deep carbon cycling drives the splitting of the 520-km mantle discontinuity. [PDF]

Nat Commun
Zhang X, Wei W, Zhang Y, Mao Z, Sun N, Sun D, Leng W, Yoshino T, Mashino I, Katsura T, Li J, Li W, Lin JF.   +12 more
europepmc   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga, Douglas J. Parker, Nadhir Ben Rached, Seonaid R. Anderson, Cornelia Klein, Steven C. Wells   +5 more
wiley   +1 more source