There is less and less cherrypicking of that type as time goes on now. Notice this activity from a few days ago.
http://sohowww.nascom.nasa.gov/pickoftheweek/old/16apr2010/EIT304promerupt.jpg
This graphic is visible on my screen without scrolling.

Right that's it I am going to take the train home and recycle at least 50% of my rubbish in disgust. I only wish there was more I could recycle but the supermarkets plastic film fetish knows no end

It's always doom and gloom with Sek

Incidentally as a kid all fridges used to contain just NH3 (Ammonia) and ran on natural gas

No compressors and no CFC's. No noise apart from the dripping ammonia contained in the tubing at the back

Pure convenience with the ability to plug the device in brought about CFC's

Instead of connecting to the Gas supply

(The same convenience is applied to Tumble Dryers)

+ you could get a nasty burn from the flue on the top of the fridge !

An atmosphere–ocean time series model of global climate change

http://www.sciencedirect.com/science/article/...60d6f6d6005c5aa20b4bda38e

References and further reading may be available for this article. To view references and further reading you must purchase this article.

David I. Stern

Corresponding Author Contact Information, a, E-mail The Corresponding Author

Department of Economics, Sage 3208, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY12180-3590, USA
Received 17 March 2004;
revised 5 August 2005;
accepted 4 September 2005.
Available online 9 December 2005.

Abstract

Time series models of global climate change tend to estimate a low climate-sensitivity (equilibrium effect on global temperature of doubling carbon dioxide concentrations) and a fast adjustment rate to equilibrium. These results may be biased by omission of a key variable—heat stored in the ocean. A time series model of the atmosphere–ocean climate system is developed, in which surface temperature (atmospheric temperature over land and sea surface temperature) moves towards a long-run equilibrium with both radiative forcing and ocean heat content, while ocean heat content accumulates the deviations from atmospheric equilibrium. This model is closely related to Granger and Lee's multicointegration model. As there are only 55 years of observations on ocean heat content, the Kalman filter is used to estimate heat content as a latent state variable, which is constrained by the available observations. This method could be applied to other climate change problems where there are only limited observations on key variables. The final model adopted relates surface temperature to the heat content of the upper 300 m of the ocean. The resulting parameter estimates are closer to theoretically expected values than those of previous time series models and the estimated climate sensitivity to a doubling of carbon dioxide is 4.4 K.

Keywords: Global climate change; Time series analysis; Multicointegration; Kalman filter