<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
		>
<channel>
	<title>Comments on: More on Gotland</title>
	<atom:link href="http://climateaudit.org/2005/09/12/more-on-gotland/feed/" rel="self" type="application/rss+xml" />
	<link>http://climateaudit.org/2005/09/12/more-on-gotland/</link>
	<description>by Steve McIntyre</description>
	<lastBuildDate>Tue, 21 May 2013 05:19:05 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.com/</generator>
	<item>
		<title>By: Douglas Hoyt</title>
		<link>http://climateaudit.org/2005/09/12/more-on-gotland/#comment-37236</link>
		<dc:creator><![CDATA[Douglas Hoyt]]></dc:creator>
		<pubDate>Tue, 13 Sep 2005 12:28:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.climateaudit.org/?p=360#comment-37236</guid>
		<description><![CDATA[Ring widths follow a log-normal distribution. Precipitation also follows a log-normal distribution. The power transformation of Esper converts the RW log-normal distribution in a distribution that appears to be neary normal and then they say this time series can be used to reconstruct temperature.

One could also apply this same transformation to preciptation directly and get a transformed normal distribution. But it would not be a measure of temperature. In fact, it is frequently true that there is little correlation between temperature and rainfall.

Bottom line, I think any proxy with a non-normal distribution on the century time scale should not be used as a temperature proxy. This just expands on my comments in an earlier thread ( http://www.climateaudit.org/?p=358#more-358 ).]]></description>
		<content:encoded><![CDATA[<p>Ring widths follow a log-normal distribution. Precipitation also follows a log-normal distribution. The power transformation of Esper converts the RW log-normal distribution in a distribution that appears to be neary normal and then they say this time series can be used to reconstruct temperature.</p>
<p>One could also apply this same transformation to preciptation directly and get a transformed normal distribution. But it would not be a measure of temperature. In fact, it is frequently true that there is little correlation between temperature and rainfall.</p>
<p>Bottom line, I think any proxy with a non-normal distribution on the century time scale should not be used as a temperature proxy. This just expands on my comments in an earlier thread ( <a href="http://www.climateaudit.org/?p=358#more-358" rel="nofollow">http://www.climateaudit.org/?p=358#more-358</a> ).</p>
]]></content:encoded>
	</item>
</channel>
</rss>
