- Cited by 6
-
Cited byCrossref Citations
This Book has been cited by the following publications. This list is generated based on data provided by Crossref.
Krasnopolsky, Vladimir and Belochitski, Alexei 2023. Fast Processes in Large‐Scale Atmospheric Models. p. 283.
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.
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,
Krasnopolsky, Vladimir 2024. Reference Module in Earth Systems and Environmental Sciences.
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.
- Publisher:
- Cambridge University Press
- Online publication date:
- March 2023
- Print publication year:
- 2023
- Online ISBN:
- 9781107588493