Results 191 to 200 of about 118,769 (293)

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

Modulation of wind drag by tidal currents in an embayment

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

Observations and numerical simulations of a valley‐exit wind in the Alpine Bolzano basin

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The evolution and spreading of the nocturnal valley‐exit wind flowing from the Isarco Valley into the Bolzano basin, in the Italian Alps, are found to be influenced by the basin temperature stratification. Measurements and high‐resolution simulations show that a cold‐air pool favors an upward trajectory of the flow at the exit of the valley.
Federica Gucci   +4 more
wiley   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang   +12 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

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