Results 21 to 30 of about 1,367,768 (349)

W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting [PDF]

open access: yesarXiv.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

Learning skillful medium-range global weather forecasting

open access: yesScience, 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

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators [PDF]

open access: yesPlatform 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

WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting [PDF]

open access: yesJournal of Advances in Modeling Earth Systems, 2020
Data‐driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains. A natural question to ask is whether data‐driven methods could also be used to predict global weather patterns days in advance.
S. Rasp   +5 more
semanticscholar   +1 more source

EXTREME WEATHER EVENTS OF MARCH 2013 IN OLTENIA [PDF]

open access: yesAerul şi Apa: Componente ale Mediului, 2016
Heavy snow associated with low temperatures and wind intensification are phenomena typically manifested during winter, in southwestern Romania. The occurrence of such events in the last decade of the month of March, when spring should already be ...
F. SFÎRLEAZĂ   +4 more
doaj   +1 more source

An approach to the verification of high-resolution ocean models using spatial methods [PDF]

open access: yesOcean Science, 2020
The Met Office currently runs two operational ocean forecasting configurations for the North West European Shelf: an eddy-permitting model with a resolution of 7 km (AMM7) and an eddy-resolving model at 1.5 km (AMM15).
R. Crocker   +4 more
doaj   +1 more source

AMOC decline and recovery in a warmer climate

open access: yesScientific Reports, 2023
This study presents novel insight into the mechanisms of Atlantic Meridional Overturning Circulation (AMOC) reduction and its recovery under a warmer climate scenario.
Paulo Nobre   +16 more
doaj   +1 more source

Multi-model ensemble: technique and validation [PDF]

open access: yesGeoscientific Model Development, 2014
In this study, a method of numerical weather prediction by ensemble for the South American region is proposed. This method takes into account combinations of the numerical predictions of various models, assigning greater weight to models that exhibit the
J. R. Rozante   +3 more
doaj   +1 more source

Arctic shipping trends during hazardous weather and sea-ice conditions and the Polar Code’s effectiveness

open access: yesnpj Ocean Sustainability, 2023
The Arctic’s extreme environmental conditions and remoteness make it a complex and dynamic environment for maritime operators. We find that Arctic shipping has grown by 7% per year over the past decade, despite the hazardous weather and sea-ice ...
Malte Müller   +3 more
doaj   +1 more source

Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models [PDF]

open access: yesJournal of Advances in Modeling Earth Systems, 2021
We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts six key atmospheric variables with six‐hour time resolution. This computationally efficient model uses convolutional neural networks (
Jonathan A. Weyn   +3 more
semanticscholar   +1 more source

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