Informed Selection of Future Climates

Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to

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Year of publication:	2012
Authors:	Arndt, Channing ; Fant, Charles ; Robinson, Sherman ; Strzepek, Kenneth
Institutions:	World Institute for Development Economic Research (UNU/WIDER), United Nations University
Subject:	Gaussian quadrature sampling \| climate uncertainty \| computational burden \| information theory

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Series:	Working Paper Series.
Type of publication:	Book / Working Paper
Notes:	Number UNU-WIDER Research Paper WP2012/60 1 pages long
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010570501