Results 181 to 190 of about 131,254 (354)

How consistently do ensemble prediction systems represent the growth of atmospheric uncertainty?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Suzanne Gray, John Methven, Mark Rodwell   +3 more
wiley   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Paula L. M. Gonzalez, Lesley J. Gray, Scott Osprey, Hedi Ma   +4 more
wiley   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Modulation of wind drag by tidal currents in an embayment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate, Michael V. W. Cuttler   +1 more
wiley   +1 more source

Characterization of synoptic environment for mesoscale convective systems over South Korea using ERA5 reanalysis data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In this study, the synoptic conditions for modes of mesoscale convective systems (MCSs) in South Korea are generalized based on composite analysis. The preferred precipitation region, synoptic patterns, moisture transport, sea surface temperature and thermodynamic and dynamic instabilities are characterized according to four modes: convective cells (CC)
Jeong‐Eun Lee, GyuWon Lee
wiley   +1 more source

Exploiting Aeolus winds in a regional numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aeolus measured winds have proven to be beneficial for global models. However, demonstrating positive impact for limited‐area models has been a challenge so far. For the first time, we have demonstrated a statistically significant positive impact of Aeolus winds in a limited‐area model by using the 4DVar data assimilation technique and the most recent ...
Gert‐Jan Marseille, Roohollah Azad, Martin Ridal, Susanna Hagelin   +3 more
wiley   +1 more source

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

Quarterly 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, Yue Ying, Richard Davy, Laurent Bertino   +3 more
wiley   +1 more source

The role of tropical cyclones in accelerating dengue transmission: insights from field experiments and dynamical modelling. [PDF]

BMJ Glob Health
Yan Y, Geng M, Zhong Y, Deng H, Hu S, Chen Y, Guo W, Li Y, Wang H, Zhang T, Hu W, Zhao Q, Ma W.   +12 more
europepmc   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source