Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany-Reference-Cited by-同舟云学术

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Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany

Published:2024-10 Issue: Volume:181 Page:106162
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Deng Tuo^ORCID,Manders Astrid,Segers Arjo,Heemink Arnold Willem,Lin Hai Xiang

Publisher

Elsevier BV

Reference40 articles.

1. The k-means algorithm: A comprehensive survey and performance evaluation;Ahmed;Electronics,2020

2. Towards a high-resolution regional reanalysis for the European CORDEX domain;Bollmeyer;Q. J. R. Meteorol. Soc.,2015

3. Cross-validation methods;Browne;J. Math. Psychol.,2000

4. A Bayesian interpretation of the confusion matrix;Caelen;Ann. Math. Artif. Intell.,2017

5. An LSTM-based aggregated model for air pollution forecasting;Chang;Atmosp. Pollut. Res.,2020

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