Results 91 to 100 of about 1,726,318 (276)

Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj, Per Dahlgren, Máté Mile   +2 more
wiley   +1 more source

Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi, Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Tijana Janjic, Alberto Carrassi   +5 more
wiley   +1 more source

When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling [PDF]

Hydrology and Earth System Sciences
Recent advances in differentiable modeling, a genre of physics-informed machine learning that trains neural networks (NNs) together with process-based equations, have shown promise in enhancing hydrological models' accuracy, interpretability, and ...
Y. Song, W. J. M. Knoben, M. P. Clark, D. Feng, D. Feng, K. Lawson, K. Sawadekar, C. Shen   +7 more
doaj   +1 more source

Aerodynamic Shape Optimization Using the Discrete Adjoint of the Navier-Stokes Equations: Applications Toward Complex 3D Configutations [PDF]

, 2009
Within the next few years, numerical shape optimization based on high fidelity methods is likely to play a strategic role in future aircraft design. In this context, suitable tools have to be developed for solving aerodynamic shape optimization problems,
Dwight, Richard P., Brezillon, J. (author), Dwight, R.P. (author), Brezillon, Joël   +3 more
core  

The Mediterranean Extreme Events Experiment and storm Harry in January 2026

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This article introduces the Mediterranean Extreme Events Experiment (M3E) – a new project consisting of partners from Europe and the United States – whose main objective is to improve the weather forecasting of extreme events in the Mediterranean region via the deployment of drifting buoys with barometers (shown).
David A. Lavers, Pierre‐Marie Poulain, Emanuela Clementi, F. Martin Ralph, Luca Centurioni, Linus Magnusson, Mohamed Dahoui, Viviana Piermattei, Olivier Desprez de Gésincourt, Milena Menna, Sébastien Péré, Nadia Pinardi, Paolo Oddo, Yuri Cotroneo, Anna M. Wilson, Katrin Schroeder, Enrico Scoccimarro, Mark J. Rodwell, Matthieu Chevallier, Giacomo Davide Pagliaro, Giannetta Fusco, Giorgio Budillon   +21 more
wiley   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

Classification of compactified su(N c ) gauge theories with fermions in all representations

Journal of High Energy Physics, 2017
We classify su(N c ) gauge theories on ℝ3×S1 $$ {\mathrm{\mathbb{R}}}^3\times {\mathbb{S}}^1 $$ with massless fermions in higher representations obeying periodic boundary conditions along S1 $$ {\mathbb{S}}^1 $$. In particular, we single out the class of
Mohamed M. Anber, Loïc Vincent-Genod
doaj   +1 more source

Balancing accuracy and speed: A multi‐fidelity ensemble Kalman filter with a machine learning surrogate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We investigate the use of a multi‐fidelity ensemble Kalman filter (EnKF) in which the low‐fidelity model is a machine‐learning model, instead of a traditional low‐resolution model. Results with the Lorenz‐2005 and quasi‐geostrophic models show that we can achieve improved accuracy within the same computational budget compared with the standard EnKF ...
Jeffrey van der Voort, Martin Verlaan, Hanne Kekkonen   +2 more
wiley   +1 more source

Unbiased fully nonlinear data assimilation. Part 2: The stochastic particle flow smoother

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Building on the stochastic particle flow filter (SPFF) introduced in Part 1, we introduce a new smoother—the stochastic particle flow smoother (SPFS)—for high‐dimensional, nonlinear data assimilation. We examine two backward‐propagation strategies for the smoother, including an exact adjoint model, which allows particles to capture multimodal ...
Hao‐Lun Yeh, Peter Jan van Leeuwen
wiley   +1 more source

On different approaches to IRF lattice models. Part II

Journal of High Energy Physics
This paper represents a continuation of our previous work, where the Boltzmann weights (BWs) for several Interaction-Round-the Face (IRF) lattice models were computed using their relation to rational conformal field theories.
Vladimir Belavin, Doron Gepner, J. Ramos Cabezas, Boris Runov   +3 more
doaj   +1 more source