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Science and Public Policy Institute

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» Observed Climate Change and the Negligible Global Effect of Greenhouse-gas Emission Limits in the State of Utah

» Experimental Artifacts of Free-Air-C02-Enrichment (FACE) Studies

» The Extinction Risk for Stationary Plants

» Benefits of Atmospheric C02 Enrichment on Strawberries

» Forest Growth Responses to Increasing Temperatures

» Stop Climate Fear Mongering

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» Problems with Model Predictions of Species Extinctions

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» Health Effects of Hot vs. Cold Temperatures in Asia

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» Forest Growth Response to C02

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Climate Science: Roger Pielke Sr. Research Group

» Roger Pielke Sr. is now on Twitter!

» 2012 Climate Science Weblog in Review by Dallas Jean Staley – A Guest Post

» The Weblog Is Retiring

» Publication Of “Reply to “Comment On ‘Ocean Heat Content And Earth’s Radiation Imbalance. II. Relation To Climate Shifts’ ” by Nuccitelli Et Al. By Douglass and Knox 2012

» Q&A From A Group Of Retired NASA Personnel And Associates

» The Importance of Land Use/Land Practices On Climate – A Perspective From Jon Foley

» Interview With James Wynn In The English Department At Carnegie Mellon University

» University Of Alabama At Huntsville October 2012 Lower Tropospheric Temperature Analysis

» USA Election Day 2012

» New Paper “Climatic Variability Over Time Scales Spanning Nine Orders of Magnitude: Connecting Milankovitch Cycles With Hurst–Kolmogorov Dynamics” By Markonis And Koutsoyiannis

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» Op Ed on Deflategate

» Did McNally Inflate One Football in the Washroom?

» Letter to Daniel Marlow on Exponent Error

» Exponent’s Trick to Exaggerate the Decline

» Who “Told” Exponent Not to Consider Switching Scenario?

» Goodell and Deflategate Science

» Raymond Bradley and the Grand Old Duke of York

» Ruling out high deflation scenarios

» Exponent’s Transients: Bodge or Botch?

» NFL Officials Over-Inflated Patriot Balls

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Watts Up With That?

» Another claimed tipping point: ocean cyanobacteria will go into ‘overdrive’ and can’t stop

» UWA and @PsychScience look the other way on Lewandowsky’s use of minors without consent in his “Conspiracist Ideation” and “Moon Landing” paper

» Another BBQ Summer Fiasco: Met Office Gets It Wrong (Again)

» The Arctic Iris Effect, Dansgaard-Oeschger Events, and Climate Model Shortcomings. Lesson from Climate Past – part 1.

» The artificial tree: the “green” replacement for real trees?

» Study: Wind farms offer diminishing returns as they grow more widespread

» The Epistemology of Explaining Climate Forecasting so an 8 Year Old Can Understand it

» Weekly Climate and Energy News Roundup #194

» Climate issues we need to address

» Shades of Lewandowsky and Cook: When psychological science isn’t so sciency

» The Hood Robin Syndrome

» President Obama forced to defend Arctic Drilling Decision

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Global Warming News

» Obama’s Alaska Trip: Do We Primarily Have a Climate Change Problem or a Russia Problem?

» Clean Energy Incentive Program: New Unlawful Element in EPA’s Power Plant Rule?

» Rivers of Gold and Energy Poverty

» Keystone XL Review Five Times Longer than Average — AP

» Guest Post: Primer on Administrator McCarthy’s Talk Tomorrow on “The Promise of the Clean Power Plan”

» Gasoline or Ethanol: Which Is More Polluting?

» EPA’s Colossally Costly Power Plan Fulfills Obama’s Campaign Promise

» EPA’s Power Sector Carbon Rules: Are They Legal?

» Clean Power Plan: Reactions to EPA’s Preview “Fact Sheet”

» Hearing Shines Light on Social Cost of Carbon Sophistry

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Fox News - Climate Change Stories

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Michelle Malkin - Enviro-Nitwits

» Peer-reviewed study: Obama’s mixed messages contributing to climate change, mass confusion

» What is Obama’s top population control freak hiding?

» Obama torches 20,000 gallons of gas to warn that ‘fossil fuel interests’ are conspiring against ‘clean energy’

» Head of EPA: Obama’s Clean Power Plan will hit low-income minorities hardest, but they’ll get ‘incredible savings’ by 2030

» Obama’s toxic Environmental Pollution Agency: Sexual predators, toxic dumps & data stonewalls

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NASA Revises Temperature Data - 1930's warmest on record!
Admin, Thursday 09 August 2007 - 20:06:13 // comment: 25 //     printer friendly   //     Font Size - Increase / Decrease / Reset

In a stunning turn of events data (quietly) released by NASA shows that the 4 warmest years ever recorded occurred in the 1930's, with the warmest year on record being 1934 (not 1998). Lets see if Al Gore revises his road show. Update - Global Warming is actually a Y2K bug!No Longer Supported
Data discovered on NASA's Goddard Institute for Space Studies (GISS) website revises recorded temperatures for the United States. It is expected that similar revisions will also be made for global temperature recordings. This information was discovered by Steve McIntyre of Climate Audit on Wednesday (8/8/2007). No NASA press release, no James Hansen (head of GISS) announcement, nothing. Could it be because they don't want anyone to see it? The data is certainly devastating for the Al Gore camp which has based much of their Carbon Credits sales pitch on recent temperatures (e.g. claiming that 1998 was the warmest on record).

Other aspects of the data are just as stunning.
  • Only 4 of the top 10 warmest years occurred in the past 10 years (1998, 1999, 2006)
  • Out of the top 10 warmest years half occurred before 1940
  • The years 2000, 2002, 2003 and 2004 were cooler than the year 1900
  • 1996, just two years before what Al Gore called the hottest year in the history of the planet, was actually cooler than average.
  • 1921 was the third warmest year in recorded history (behind 1934 and 1998).


We're almost back to the 1970's theory of global cooling! The data clearly changes things.

Had we been living in 1934 we would have heard the same claims of global warming, this is the evidence that we would have heard at the time:
  • 8 of the past 10 years had been above average.
  • 1934 was the warmest year ever recorded. The warmest in over 54 years!


Shift that to 1944 and you would have seen that 17 of the past 21 years had been warmer than average. It is obvious that in just the past 125 years there have been other periods just as warm, or warmer, than what we are now experiencing. If we could look at the past 1,000 years with the accuracy of the past 100 years we would most likely find that this is not unusual at all.

Update: Turns out this NASA data was revised because of a Y2K bug in the algorithm used to adjust measurement station raw data. Blogger Finds Y2K Bug in NASA Climate Data. NASA's James Hansen has refused to release his algorithms but they were reverse engineered by Steve McIntyre of Climate Audit and NASA has since updated their data (so you know he Steve got it right). What this author finds truly disturbing (and disgusting) is that NASA would keep these algorithms secret. This is public information. Steve really should file a Freedom of Information (FOIA) request to obtain this and what ever else he needs. NASA would be very hard pressed to justify withholding that information. These events seriously call in to question anything James Hansen has touched, supervised, or managed. Not just because he got the math wrong but because he also hides his methods. He is apparently attempting to establish a new religion by requiring people to have faith in his data.

References:

As one blogger said "1998 had El Nino and 367ppmv CO2. What did 1934 have?", was 1934 mans fault too?

Climate Audit is being hit by either too much traffic or a Distributed Denial of Service Attack (they aren't sure which at this point). Below are the two blog posts that started it all.


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==== CLIMATE AUDIT'S August 8th, 2007 POST =====

A New Leaderboard at the U.S. Open
By Steve McIntyre

A little unexpectedly, 1998 had a late bogey and 1934 had a late birdie. (I thought that they were both in the clubhouse since the turmoil seemed to be in the 2000s.) In any event, the new leader atop the U.S. Open is 1934.

2006 had a couple of late bogeys and fell to 4th place, behind even 1921. I think that there’s a little air in the 2006 numbers even within GISS procedures as the other post-2000 lost about 0.15 strokes through late bogeys, while it lost only 0.10 strokes. It is faltering and it might yet fall behind 1931 into 5th place.

Four of the top 10 are now from the 1930s: 1934, 1931, 1938 and 1939, while only 3 of the top 10 are from the last 10 years (1998, 2006, 1999). Several years (2000, 2002, 2003, 2004) fell well down the leaderboard, behind even 1900. (World rankings are calculated separately.) Note: For the new leaderboard see . The old data has been erased; by sheer chance, I had the old data active in my R-session but I can’t give a link to it.)

GISS U.S. Temperatures (deg C) in New Order

YearOldNew
19341.231.25
19981.241.23
19211.121.15
20061.231.13
19311.081.08
19990.940.93
19530.910.90
19900.880.87
19380.850.86
19390.840.85

Here’s the old leaderboard.

YearOldNew
19981.241.23
19341.231.25
20061.231.13
19211.121.15
19311.081.08
19990.940.93
19530.910.90
20010.900.76
19900.880.87
19380.850.86
==== END OF POST ====


==== CLIMATE AUDIT'S August 7th, 2007 POST =====

Will the Real USHCN Data Set Please Stand Up?
By Steve McIntyre

The GISS homepage formerly said:

The NASA GISS Surface Temperature Analysis (GISTEMP) provides a measure of the changing global surface temperature with monthly resolution for the period since 1880, when a reasonably global distribution of meteorological stations was established. Input data for the analysis, collected by many national meteorological services around the world, is the unadjusted data of the Global Historical Climatology Network (Peterson and Vose, 1997 and 1998) except that the USHCN station records included were replaced by a later corrected version.


In econometrics, you couldn’t use loosy-goosy phrases like “replaced by a later corrected version.” You’d have to identify the version. Actually AGU policies (which apply to JGR) require proper data citation, although climate scientists publishing in AGU journals flout this policy, including Hansen here. Following an email to Hansen and Ruedy of GISS, they changed the introduction at the GISTEMP intro from:to the following:

Input data for the analysis, collected by many national meteorological services around the world, is the unadjusted data of the Global Historical Climatology Network (Peterson and Vose, 1997 and 1998) except that the USHCN station records up to 1999 were replaced by a version of USHCN data with further corrections after an adjustment computed by comparing the common 1990-1999 period of the two data sets. (We wish to thank Stephen McIntyre for bringing to our attention that such an adjustment is necessary to prevent creating an artificial jump in year 2000.)


This doesn’t really clarify the provenance of the data. In his email, Ruedy added:

In 2000, USHCN provided us with a file with corrections not contained in the GHCN data. Unlike the GHCN data, that product is not kept current on a regular basis. Hence we used (as you noticed) the GHCN data to extend those data in our further updates (2000-present)


Well, I hadn’t really “noticed” that they had used GHCN data to extend the USHCN data. I’ve done lots of cross-comparisons with different variations trying to identify exactly where the GHCN raw data came from. I’ve put up many plots at CA showing GISS raw as compared to different USHCN versions and I’ve done many more that I’ve not posted up. At his point, there’s one thing that we can say for sure: I’ve now looked at GISS raw as compared to GHCN raw data in the post-2000 period and in the few sites that I’ve examined since receiving this email (Detroit Lakes, Port Angeles), there is an exact match. So at least we’ve tracked down one aspect of the provenance of GISS raw data. I’ve done a comparison plot below for Detroit Lakes MN, a series that we’ve looked at before. After 2000, the match is exact (the delta is 0.0). However, before 2000, the USHCN TOBS/adjusted series sort of match for a while but the match tails off in the earlier portions, with the GISS raw version being quite different.


hansen48.gif

So where does the GISS raw version come from? At this stage, I think that we can declare that it doesn’t come from any of the USHCN version 2 (raw, TOBS, adjsted). If it did, then the versions would match as exactly as the GHCN raw and GISS raw after 2000. So where does it come from? Another stupid climate science guessing game, although hopefully it will solved in a shorter time than the unsolved MBH99 confidence intervals.

Ruedy’s letter has opened up the possibility of really obsolete data being used - I hadn’t thought to look at really obsolete data. I browsed through some obsolete data in connection with Swindle - who would have thought that we’d be doing so again. Two possibilities spring to mind: (1) maybe he’s using something from USHCN version 1; this is online, but I don’t think that the dates are right. (2) Maybe there’s an earlier USHCN version 2 that’s been overwritten (3) maybe he’s using an old GHCN version before 2000. Maybe none of the above - hey, it’s climate science.
==== END OF POST ====



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