The rise of data-driven weather forecasting: A first statistical assessment of machine learning-based weather forecasts in an operational-like context [PDF]
Bulletin of The American Meteorological Society - (BAMS), 2023 Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications.
Zied Ben-Bouallegue +16 more
semanticscholar +1 more source
GraphCast: Learning skillful medium-range global weather forecasting [PDF]
arXiv.org, 2022 Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy, but cannot directly use historical ...
Rémi R. Lam +17 more
semanticscholar +1 more source
Learning skillful medium-range global weather forecasting
Science, 2023 Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy but does not directly use historical ...
Remi Lam +17 more
semanticscholar +1 more source
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting [PDF]
AAAI Conference on Artificial Intelligence, 2023 Data-driven medium-range weather forecasting has attracted much attention in recent years. However, the forecasting accuracy at high resolution is unsatisfactory currently.
Lei Chen +4 more
semanticscholar +1 more source
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data [PDF]
International Joint Conference on Artificial Intelligence, 2023 To tackle the global climate challenge, it urgently needs to develop a collaborative platform for comprehensive weather forecasting on large-scale meteorological data.
Shen Chen +3 more
semanticscholar +1 more source
Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf [PDF]
Ocean Science, 2021 Two feature-based verification methods, thus far only used for the diagnostic evaluation of atmospheric models, have been applied to compare ∼7 km resolution pre-operational analyses of chlorophyll-a (Chl-a) concentrations to a 1 km gridded satellite ...
M. Mittermaier +4 more
doaj +1 more source
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting [PDF]
arXiv.org, 2023 Weather forecasting is a long-standing computational challenge with direct societal and economic impacts. This task involves a large amount of continuous data collection and exhibits rich spatiotemporal dependencies over long periods, making it highly ...
Xin Man +3 more
semanticscholar +1 more source
WEATHER, FORECASTS, AND WARNINGS
Monthly Weather Review, 1912 H. C. FRANKENFIELD
openalex +3 more sources
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators [PDF]
Platform for Advanced Scientific Computing Conference, 2022 Extreme weather amplified by climate change is causing increasingly devastating impacts across the globe. The current use of physics-based numerical weather prediction (NWP) limits accuracy and resolution due to high computational cost and strict time-to-
T. Kurth +8 more
semanticscholar +1 more source
THE INFLUENCE OF MEDITERRANEAN CYCLONES ON THE WEATHER IN OLTENIA DURING THE FIRST MONTH OF SUMMER [PDF]
Aerul şi Apa: Componente ale Mediului, 2015 Defining the Mediterranean cyclones as “semi-permanent centers” active only in the cold half of the year would suggest that they are not active in summer, and their influence on the weather of southern Europe and Romania is insignificant during this ...
SFÎRLEAZĂ FANIA +4 more
doaj +1 more source