Results 221 to 230 of about 649,560 (364)
Thermodynamic and microphysical properties of summertime marine fog observed from Sable Island
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]
Levin SM +11 more
europepmc +1 more source
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
Physical activity and diurnal variation have no impact on plasma microRNA-140 expression levels in patients with knee osteoarthritis and healthy controls. [PDF]
Aae TF +6 more
europepmc +1 more source
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]
Krzyslak H +8 more
europepmc +1 more source
High latitude local scale temperature complexity:the example of Kevo Valley, Finnish Lapland [PDF]
Pepin, Nick, Pike, G., Schaefer, Martin
core +1 more source
Environmental Factors Influencing 20th Century Diurnal Temperature Range Variations
Ryan G. Lauritsen
openalex +1 more source
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

