Title	Climate and statistics
Creator	Guttorp, Peter
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-07-10T11:31
Description	Weather-related climate is the long-term distribution of weather. Climate change means that this distribution is nonstationary. Climate scientists like to study anomalies, and we outline some problems relating to how this is done. Comparison of climate models to weather data can use empirical process tools, but may need some new developments. Regional climate models, or dynamic downscaling, illustrates clearly some problems with current climate models.
Extent	39 minutes
Subject	Mathematics; Statistics; Probability theory and stochastic processes
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Norwegian Computing Center
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2018-01-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0362891
URI	http://hdl.handle.net/2429/64305
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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