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- Cited by 6
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Cited byCrossref Citations
This Book has been cited by the following publications. This list is generated based on data provided by Crossref.
de Burgh-Day, Catherine O. and Leeuwenburg, Tennessee 2023. Machine learning for numerical weather and climate modelling: a review. Geoscientific Model Development, Vol. 16, Issue. 22, p. 6433.
Krasnopolsky, Vladimir and Belochitski, Alexei 2023. Fast Processes in Large‐Scale Atmospheric Models. p. 283.
Fleming, Sean W. Rittger, Karl Oaida Taglialatela, Catalina M. and Graczyk, Indrani 2024. Leveraging Next‐Generation Satellite Remote Sensing‐Based Snow Data to Improve Seasonal Water Supply Predictions in a Practical Machine Learning‐Driven River Forecast System. Water Resources Research, Vol. 60, Issue. 4,
Bonavita, Massimo 2024. On Some Limitations of Current Machine Learning Weather Prediction Models. Geophysical Research Letters, Vol. 51, Issue. 12,
Krasnopolsky, Vladimir 2024. Applying Machine Learning in Numerical Weather and Climate Modeling Systems. Climate, Vol. 12, Issue. 6, p. 78.
Krasnopolsky, Vladimir 2024. Reference Module in Earth Systems and Environmental Sciences.
- Publisher:
- Cambridge University Press
- Online publication date:
- March 2023
- Print publication year:
- 2023
- Online ISBN:
- 9781107588493