Results 151 to 160 of about 4,101,946 (282)

Parameter-Independent Feature Ranking with Volume-Integrated Sharma-Mittal Entropy: Kernel-Based Estimation, Theoretical Properties and Empirical Validation. [PDF]

Entropy (Basel)
Oruç Ünal N, Göztaş M, Yıldız D.
europepmc   +1 more source

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

The application of large language models in meteorology graduate research: current status, impact, and prospects. [PDF]

PLoS One
Zhu S, Li H.
europepmc   +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

Duration of wet seasons in Australia and limits of coastal storms

, 1929
Bureau of Meteorology, Melbourne ; M.J.C. 1929Map shows months when rain is likely to fall across all parts of Australia and cyclone seasons for northwestern and eastern coastal areas.Inset: [Tasmania]Includes explanatory text and table of cloud types ...
Commonwealth Bureau of Meteorology (Australia)
core  

Characteristics of quasi‐stationary band‐shaped precipitation systems in Japan between 1989 and 2022

Quarterly Journal of the Royal Meteorological Society, EarlyView.
(a) Annual occurrence frequency of QBPSs (green bars), five‐years moving average (blue line), and regression trend (red line) for 1989–2022. (b) Distribution of the geographical occurrence frequencies of QBPSs with a 5‐km resolution for 1989–2022. Quasi‐stationary band‐shaped precipitation systems (QBPSs) are a major cause of localized heavy rainfall ...
Yasutaka Hirockawa, Teruyuki Kato, Hiroshi Niino   +2 more
wiley   +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

Fusing physics and AI enhances accuracy and diagnostic capabilities in air quality forecasting. [PDF]

Natl Sci Rev
Wu H, Wang Z, Zhang Y, Lin W, Li X, Gao M, Sun H, Zhang D, Wang W, Tang X, Zhu J, Song Y, Ma C, Fu P, Su H, Cheng Y, Carmichael GR.   +16 more
europepmc   +1 more source

Improving drought forecasting to support decision‐making

Quarterly Journal of the Royal Meteorological Society, EarlyView.
New satellite observations are integrated into a land surface model via data assimilation using innovative artificial intelligence methods. This enhances our comprehension of the effects of drought on forests and agricultural land on global and regional scales, enabling us to monitor drought‐related natural disasters and characterise regional exposure ...
Jean‐Christophe Calvet, Pierre Vanderbecken, Jasmin Vural, Yann Baehr, Sophie Barthelemy, Bertrand Bonan, Timothée Corchia, Oscar Rojas‐Munoz   +7 more
wiley   +1 more source

From Detection toward Mitigation: A Critical Review of Artificial Intelligence and Machine Learning for Methane Emissions Reduction. [PDF]

Environ Sci Technol
Luo R, Gates I.
europepmc   +1 more source