Results 161 to 170 of about 3,413,140 (351)
The atmospheric mechanisms responsible for the low‐level cloud cover (LCC) over western equatorial Africa in the dry season are poorly studied. This study brings a better understanding of the mechanisms accounting for the diurnal LCC formation and dissipation, and it highlights some potential interactions between local and regional dynamics by using a ...
Alexandre Berger+5 more
wiley +1 more source
Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling
Maher G. M. Abdolrasol+5 more
semanticscholar +1 more source
Two archetypes of tornadic quasi‐linear convective systems with and without horizontal shearing instability. Modeled surface precipitation rates (mm ·hr$$ \cdotp \mathrm{hr} $$ −1$$ {}^{-1} $$; colored) and absolute vorticity (contours every 3×10−3$$ 3\times 1{0}^{-3} $$ s−1$$ {}^{-1} $$; dashed when negative) after vortexgenesis from the model domain.
Ty J. Buckingham+3 more
wiley +1 more source
Ensemble Kalman filters implicitly linearize the observation operator, which causes the posterior to deviate from its linear approximation. We quantify the linearization error for visible and infrared radiances and conclude that the linear approximation should not be used for nonlinear observation types.
Lukas Kugler, Martin Weissmann
wiley +1 more source
(a) Location map with the 26 stations as yellow squares superimposed on the topography in metres above sea level. Correlations between intraseasonal variability of the stratiform cloud cover over Western Equatorial Africa (WEAisv) and (b) observed low‐cloud fraction (LCF), (c) ERA5 LCF at the same location as stations with the same missing entries, (d)
Vincent Moron+4 more
wiley +1 more source
Application and Exploration of Digital Mobile Learning in Remote Meteorological Training [PDF]
Liu Xiao-ling, Hua Liu
openalex +1 more source
Air–sea feedback in the northeastern tropical Atlantic in boreal summer at intraseasonal time‐scales
This study investigates air–sea interactions in the northeastern tropical Atlantic at intraseasonal time‐scales, focusing on the feedback between sea‐surface temperature (SST) and surface winds. It finds that trade wind anomalies drive SST changes, creating a feedback loop that lasts 2–3 weeks.
Mamadou Thiam+4 more
wiley +1 more source
Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies
Standard methods for calculating ensemble forecast anomalies result in statistical inconsistencies between forecast and verification anomalies, even if the underlying forecasts are perfectly reliable. An unbiased evaluation of anomaly‐based ensemble forecasts must account for differences in climatological sampling uncertainty between forecasts and ...
Christopher D. Roberts+1 more
wiley +1 more source