Results 221 to 230 of about 649,560 (364)

Thermodynamic and microphysical properties of summertime marine fog observed from Sable Island

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Atmospheric profiling and near‐surface fog and visibility measurements revealed synoptic‐scale forcing as the dominant factor in fog formation over Sable Island, with deep fog layers under low‐pressure systems and shallow fog layers under high‐pressure systems.
Kelsey Rowe   +7 more
wiley   +1 more source

Europa's ice thickness and subsurface structure characterized by the Juno microwave radiometer. [PDF]

open access: yesNat Astron
Levin SM   +11 more
europepmc   +1 more source

Assimilation of European and global Mode‐S aircraft observations into the Met Office global deterministic numerical weather prediction model

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
European and global Mode‐S aircraft reports have been assimilated into the Met Office global deterministic numerical weather prediction model, improving forecast accuracy for wind, temperature, and geopotential height. This is the first time global Mode‐S network data have been assimilated, which include data from under‐observed regions, and has ...
Elliott Warren   +5 more
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette   +3 more
wiley   +1 more source

Methodological and Short-Term Diurnal Variation in Surface and Cargo Proteins in Plasma Extracellular Vesicles. [PDF]

open access: yesCurr Issues Mol Biol
Krzyslak H   +8 more
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

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