Book Template

Philosophical Transactions of the Royal Society A 2194: Theme issue ‘Machine learning for weather and climate modelling’

Publisher: The Royal Society
Bookmark and Share

Format: Book- Paperback
ISBN-13: 9781782525097
Author: compiled and edited by Matthew Chantry, Hannah Christensen, Peter Dueben and Tim Palmer
Publication Date: 05-Apr-2021
Additional Information:


The recent rise of machine learning begs the question of how these tools can help improve weather and climate forecasting. In this theme issue, experts from weather and climate modelling and machine learning highlight and address the exciting challenges found across a wide range of problems within this field. This issue includes review articles capturing the current state of the science alongside original research. Articles tackle: data assimilation (deducing the current state of the atmosphere); forecasting the earth system; and improving existing models by post-processing their outputs to improve accuracy.

Year: 0
Turpin Price Id: 2607096
PriceType: Standard
Term: N/A
DisplayIssuePicker: False
Price Type: Standard
Availability: Available
60.00 (GBP) excl tax