Machine Learning and Data Mining Approaches to Climate Science Proceedings of the 4th International Workshop on Climate Informatics /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lakshmanan, Valliappa (Επιμελητής έκδοσης), Gilleland, Eric (Επιμελητής έκδοσης), McGovern, Amy (Επιμελητής έκδοσης), Tingley, Martin (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Θέματα: Earth sciences.; Climatology.; Atmospheric sciences.; Climate change.; Earth Sciences.; Atmospheric Sciences.; Climate Change.

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that a...

Πίνακας περιεχομένων:

• From the Contents: Machine learning, statistics, or data mining, applied to climate science
• Management and processing of large climate datasets
• Long and short-term climate prediction
• Ensemble characterization of climate model projections
• Past (paleo) climate reconstruction.