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	<title>Comments on: Random numbers predict future temperatures</title>
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	<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/</link>
	<description>The Power of Numeracy</description>
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		<title>By: sappayday</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5801</link>
		<dc:creator>sappayday</dc:creator>
		<pubDate>Sun, 16 May 2010 02:39:16 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5801</guid>
		<description>Ð¡Ð¼Ð¾Ñ‚Ñ€ÐµÑ‚ÑŒ &lt;a href=&quot;http://eclipsound.ru/musicvideo.php?vid=a8ece3cb8&quot; rel=&quot;nofollow&quot;&gt;ÐºÐ»Ð¸Ð¿Ñ‹&lt;/a&gt;, &lt;a href=&quot;http://cliprock.ru/DEVANT&quot; rel=&quot;nofollow&quot;&gt;Ð²Ð¸Ð´ÐµÐ¾&lt;/a&gt; Ð¸ &lt;a href=&quot;http://rss-channels.net&quot; rel=&quot;nofollow&quot;&gt;Ð²ÑÑÐºÑƒÑŽ Ð²ÑÑÑ‡Ð¸Ð½Ñƒ&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>Ð¡Ð¼Ð¾Ñ‚Ñ€ÐµÑ‚ÑŒ <a href="http://eclipsound.ru/musicvideo.php?vid=a8ece3cb8" rel="nofollow">ÐºÐ»Ð¸Ð¿Ñ‹</a>, <a href="http://cliprock.ru/DEVANT" rel="nofollow">Ð²Ð¸Ð´ÐµÐ¾</a> Ð¸ <a href="http://rss-channels.net" rel="nofollow">Ð²ÑÑÐºÑƒÑŽ Ð²ÑÑÑ‡Ð¸Ð½Ñƒ</a></p>
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	<item>
		<title>By: Gnomus</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5800</link>
		<dc:creator>Gnomus</dc:creator>
		<pubDate>Wed, 08 Jul 2009 09:08:05 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5800</guid>
		<description>Ð‘Ð»ÐµÑÑ‚ÑÑ‰Ð°Ñ Ð¸Ð´ÐµÑ Ð¸ ÑÐ²Ð¾ÐµÐ²Ñ€ÐµÐ¼ÐµÐ½Ð½Ð¾</description>
		<content:encoded><![CDATA[<p>Ð‘Ð»ÐµÑÑ‚ÑÑ‰Ð°Ñ Ð¸Ð´ÐµÑ Ð¸ ÑÐ²Ð¾ÐµÐ²Ñ€ÐµÐ¼ÐµÐ½Ð½Ð¾</p>
]]></content:encoded>
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	<item>
		<title>By: Niche Modeling &#187; Errors of Global Warming Effects Modeling</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5799</link>
		<dc:creator>Niche Modeling &#187; Errors of Global Warming Effects Modeling</dc:creator>
		<pubDate>Tue, 21 Apr 2009 11:10:03 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5799</guid>
		<description>[...]  Here is one of my first php applications, a fractional differencing simulation climate. Reload to see a new simulation below, together with measures of correlation (r2 and RE) with some monthly climate figures of the time. [...]</description>
		<content:encoded><![CDATA[<p>[...]  Here is one of my first php applications, a fractional differencing simulation climate. Reload to see a new simulation below, together with measures of correlation (r2 and RE) with some monthly climate figures of the time. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Temperature and 2008</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5798</link>
		<dc:creator>Temperature and 2008</dc:creator>
		<pubDate>Thu, 11 Dec 2008 03:40:34 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5798</guid>
		<description>[...] by committee that models are promoted without validation criteria. On this basis, if I extended my long persistent (LTP) random climate model to 3D it would meet the [...]</description>
		<content:encoded><![CDATA[<p>[...] by committee that models are promoted without validation criteria. On this basis, if I extended my long persistent (LTP) random climate model to 3D it would meet the [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Niche Modeling &#187; Global Temperatures 2008</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5797</link>
		<dc:creator>Niche Modeling &#187; Global Temperatures 2008</dc:creator>
		<pubDate>Fri, 21 Mar 2008 21:03:28 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5797</guid>
		<description>[...] (2007) is likely to be the warmest year on record globally, beating the current record set in 1998, say climate-change experts at the Met Office. (2008) This (cooling) was due to a much quicker than expected decline of a moderate El NiÃ±o that warms the climate, followed by the development of the strong cooling influence of the current La NiÃ±a.  lucia&#8230; the average temperature anomaly for 2008, as reported by GISS Land/Ocean measurements will be 0.70 Â± 0.11 C.&#8230; the curve shown assumes that the forcing will increase at a constant rate of 0.48 W/m2 after 2003. Niche ModelingO.2 (CRU)Future temperatures predicted using a random fractional differencing algorithm that generates realistic LTP behavior. [...]</description>
		<content:encoded><![CDATA[<p>[...] (2007) is likely to be the warmest year on record globally, beating the current record set in 1998, say climate-change experts at the Met Office. (2008) This (cooling) was due to a much quicker than expected decline of a moderate El NiÃ±o that warms the climate, followed by the development of the strong cooling influence of the current La NiÃ±a.  lucia&#8230; the average temperature anomaly for 2008, as reported by GISS Land/Ocean measurements will be 0.70 Â± 0.11 C.&#8230; the curve shown assumes that the forcing will increase at a constant rate of 0.48 W/m2 after 2003. Niche ModelingO.2 (CRU)Future temperatures predicted using a random fractional differencing algorithm that generates realistic LTP behavior. [...]</p>
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	<item>
		<title>By: Niche Modeling &#187; fracdiff - prediction of future temperatures</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5796</link>
		<dc:creator>Niche Modeling &#187; fracdiff - prediction of future temperatures</dc:creator>
		<pubDate>Thu, 20 Mar 2008 21:59:17 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5796</guid>
		<description>[...] The following is a simple php application that dynamically generates a graph of past measured and simulated random future temperatures using a fractional differencing algorithm. In addition, the R2 and RE statistics are calculated for a short calibration period and displayed on the graph. This illustrates the pitfalls of the RE statistic for validation. A post on this application can be found here. [...]</description>
		<content:encoded><![CDATA[<p>[...] The following is a simple php application that dynamically generates a graph of past measured and simulated random future temperatures using a fractional differencing algorithm. In addition, the R2 and RE statistics are calculated for a short calibration period and displayed on the graph. This illustrates the pitfalls of the RE statistic for validation. A post on this application can be found here. [...]</p>
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	</item>
	<item>
		<title>By: Lazar</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5795</link>
		<dc:creator>Lazar</dc:creator>
		<pubDate>Sat, 26 Jan 2008 16:39:10 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5795</guid>
		<description>Why was my previous comment deleted?

&quot;What is the RE score over the ~130 point calibration period, the period for which the mean is calculated?
If the calibration period is shortened to 79 points and validation increased from 11 to 58 points, as is done in MBH98, does then the model, in this case noise, give high RE scores over both periods?
Regards&quot;</description>
		<content:encoded><![CDATA[<p>Why was my previous comment deleted?</p>
<p>&#8220;What is the RE score over the ~130 point calibration period, the period for which the mean is calculated?<br />
If the calibration period is shortened to 79 points and validation increased from 11 to 58 points, as is done in MBH98, does then the model, in this case noise, give high RE scores over both periods?<br />
Regards&#8221;</p>
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	</item>
	<item>
		<title>By: Lazar</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-6147</link>
		<dc:creator>Lazar</dc:creator>
		<pubDate>Sat, 26 Jan 2008 16:39:00 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-6147</guid>
		<description>Why was my previous comment deleted?

&quot;What is the RE score over the ~130 point calibration period, the period for which the mean is calculated?
If the calibration period is shortened to 79 points and validation increased from 11 to 58 points, as is done in MBH98, does then the model, in this case noise, give high RE scores over both periods?
Regards&quot;</description>
		<content:encoded><![CDATA[<p>Why was my previous comment deleted?</p>
<p>&#8220;What is the RE score over the ~130 point calibration period, the period for which the mean is calculated?<br />
If the calibration period is shortened to 79 points and validation increased from 11 to 58 points, as is done in MBH98, does then the model, in this case noise, give high RE scores over both periods?<br />
Regards&#8221;</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: admin</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-5794</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Sun, 07 May 2006 20:28:55 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-5794</guid>
		<description>Hi John, sure, it could be made to take parameters that lead to a &#039;random walk&#039;.  A random walk has the unusual characteristic of an infinite expected mean -- that is, it could really &#039;go anywhere&#039;.  When I rewrite it I will turn the various pars of the code into functions, and build in more flexibility.

The main purpose of this script as some have guessed was to illustrate a case of random series with low r2&#039;s and high re&#039;s, demonstrating the flawed reasoning behind blind reliance on the re statistic.</description>
		<content:encoded><![CDATA[<p>Hi John, sure, it could be made to take parameters that lead to a &#8216;random walk&#8217;.  A random walk has the unusual characteristic of an infinite expected mean &#8212; that is, it could really &#8216;go anywhere&#8217;.  When I rewrite it I will turn the various pars of the code into functions, and build in more flexibility.</p>
<p>The main purpose of this script as some have guessed was to illustrate a case of random series with low r2&#8242;s and high re&#8217;s, demonstrating the flawed reasoning behind blind reliance on the re statistic.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: admin</title>
		<link>http://landshape.org/enm/random-numbers-predict-future-temperatures/#comment-6146</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Sun, 07 May 2006 20:28:00 +0000</pubDate>
		<guid isPermaLink="false">http://landshape.org/enm/?p=48#comment-6146</guid>
		<description>Hi John, sure, it could be made to take parameters that lead to a &#039;random walk&#039;.  A random walk has the unusual characteristic of an infinite expected mean -- that is, it could really &#039;go anywhere&#039;.  When I rewrite it I will turn the various pars of the code into functions, and build in more flexibility.  

The main purpose of this script as some have guessed was to illustrate a case of random series with low r2&#039;s and high re&#039;s, demonstrating the flawed reasoning behind blind reliance on the re statistic.</description>
		<content:encoded><![CDATA[<p>Hi John, sure, it could be made to take parameters that lead to a &#8216;random walk&#8217;.  A random walk has the unusual characteristic of an infinite expected mean &#8212; that is, it could really &#8216;go anywhere&#8217;.  When I rewrite it I will turn the various pars of the code into functions, and build in more flexibility.  </p>
<p>The main purpose of this script as some have guessed was to illustrate a case of random series with low r2&#8242;s and high re&#8217;s, demonstrating the flawed reasoning behind blind reliance on the re statistic.</p>
]]></content:encoded>
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