Results 201 to 210 of about 265,793 (302)

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly 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

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt   +3 more
wiley   +1 more source

Seismic constraints on glacier density. [PDF]

open access: yesSci Rep
Lanteri A   +10 more
europepmc   +1 more source

Relation between compressive viscosity and density of low-density snow.

open access: yesJournal of the Japanese Society of Snow and Ice, 1990
Yasoichi ENDO   +2 more
openaire   +2 more sources

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

Accuracy of Snow-density Gauges

open access: yesJournal of the Japanese Society of Snow and Ice, 1955
openaire   +2 more sources

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

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