Results 171 to 180 of about 168,664 (292)

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

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

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis   +7 more
wiley   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie   +3 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

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

Home - About - Disclaimer - Privacy