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Deep Learning and Foundation Models for Weather Prediction: A Survey
arXiv.orgPhysics-based numerical models have been the bedrock of atmospheric sciences for decades, offering robust solutions but often at the cost of significant computational resources.
Jimeng Shi +12 more
semanticscholar +1 more source
Volume 8B: Ocean Engineering, 2014
The observation at sea for marine meteorology is achieved by weather reports from merchant ship’s crew every 3 or 6 hours, mainly. However, the number of available observation data is insufficient for weather forecasting and marine environmental simulation, compared with landside.
Nobukazu Wakabayashi +3 more
openaire +2 more sources
The observation at sea for marine meteorology is achieved by weather reports from merchant ship’s crew every 3 or 6 hours, mainly. However, the number of available observation data is insufficient for weather forecasting and marine environmental simulation, compared with landside.
Nobukazu Wakabayashi +3 more
openaire +2 more sources
Deep Multi-Task Learning Based Urban Air Quality Index Modelling
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2019Obtaining comprehensive air quality information can help protect human health from air pollution. Existing spatially fine-grained estimation methods and forecasting methods have the following problems: 1) Only a part of data related to air quality is ...
Ling Chen +4 more
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COVID-19 and air pollution and meteorology-an intricate relationship: A review
Chemosphere, 2021Arun Srivastava
exaly
U-Air: when urban air quality inference meets big data
Knowledge Discovery and Data Mining, 2013Yu Zheng, Furui Liu, Hsun-Ping Hsieh
semanticscholar +1 more source