Bayesian Learning of Climate Sensitivity I: Synthetic Observations

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ISSN Print: 2160-0414
ISSN Online: 2160-0422
www.scirp.org/journal/acs
E-mail: acs@scirp.org

"Bayesian Learning of Climate Sensitivity I: Synthetic Observations"
written by Michael J. Ring, Michael E. Schlesinger,
published by Atmospheric and Climate Sciences, Vol.2 No.4, 2012

has been cited by the following article(s):

[1]	Beyond equilibrium climate sensitivity
	2017

[2]	ECONOMETRIC ANALYSIS OF BIOFUEL PROSPECTS USING CLASSICAL AND BAYESIAN TECHNIQUES WITH IMPLICATIONS FOR FOOD SECURITY IN …
	2016

[3]	ECONOMETRIC ANALYSIS OF BIOFUEL PROSPECTS USING CLASSICAL AND BAYESIAN TECHNIQUES WITH IMPLICATIONS FOR FOOD …
	2016

[4]	Bayesian estimation of climate sensitivity using observationally constrained simple climate models
	Wiley Interdisciplinary Reviews: Climate Change, 2016

[5]	Estimating trends in the global mean temperature record
	2016

[6]	Historical and future learning about climate sensitivity
	Geophysical Research Letters, 2014

[7]	Global Warming and a Potential Tipping Point in the Atlantic Thermohaline Circulation: The Role of Risk Aversion
	Environmental and Resource Economics, 2014

[1]	Estimating trends in the global mean temperature record Advances in Statistical Climatology, Meteorology and Oceanography, 2017 DOI:10.5194/ascmo-3-33-2017

[2]	Bayesian estimation of climate sensitivity using observationally constrained simple climate models Wiley Interdisciplinary Reviews: Climate Change, 2016 DOI:10.1002/wcc.397

[3]	Historical and future learning about climate sensitivity Geophysical Research Letters, 2014 DOI:10.1002/2014GL059484

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