Results 151 to 160 of about 57,002 (295)
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda +3 more
wiley +1 more source
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee +2 more
wiley +1 more source
On the Mechanical Efficiency of Deep, Tropical Convection
Abstract A heuristic model of deep, tropical convection duplicates many of the results obtained by Pauluis and Held from studies of a numerical model of a tropical convective ensemble, and offers insights into and explicit parametric relationships for the reversible and irreversible terms.
openaire +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?
Spread‐based diagnostics calculated for 12 ensemble prediction systems are compared to understand the consistency with which they represent atmospheric uncertainty growth. Good correlation between all these systems is found in the extratropics for a lead time range from 48 hr to between 96 hr and 192 hr.
Douglas Wood +3 more
wiley +1 more source
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source
Anatomy of Cirrus Clouds: Results from the Emerald Airborne Campaigns [PDF]
2000 FLORIDA AVE NW, WASHINGTON, USA, DC ...
Aspey, R +11 more
core
Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi +3 more
wiley +1 more source
The African easterly jet (AEJ) and the West African Monsoon (WAM) can largely modulate high‐impact weather over Africa and the tropical Atlantic. How these features will change with a warming climate is just starting to be addressed due to global climate
K. M. Núñez Ocasio, Erin M. Dougherty
doaj +1 more source
Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern
A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios +4 more
wiley +1 more source

