Results 71 to 80 of about 16,215 (263)
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +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
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 +8 more
wiley +1 more source
Statistical Analysis of Physical Characteristics Calculated by NEMO Model After Data Assimilation
The main goal of this study is to develop a method for finding the joint probability distribution of the state of the characteristics of the NEMO (Nucleus for European Modeling of the Ocean) ocean dynamics model with data assimilation using the ...
Konstantin Belyaev +2 more
doaj +1 more source
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
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 +3 more
wiley +1 more source
We investigate whether Central European heatwaves (HWs) forming under omega blocking differ from those enabled by subtropical ridges, in terms of both air‐mass origin and processes warming air parcels along their way. Using ERA5‐based backward trajectories and a Lagrangian temperature anomaly decomposition, we identify significant differences in the ...
Alexander Lemburg +3 more
wiley +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Sequential assimilation of multi-mission dynamical topography into a global finite-element ocean model [PDF]
This study focuses on an accurate estimation of ocean circulation via assimilation of satellite measurements of ocean dynamical topography into the global finite-element ocean model (FEOM).
S. Skachko +6 more
doaj
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte +5 more
wiley +1 more source

