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Global Warming...New Report...and it ain't happy news

 
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 11:02 am
Quote:

http://www.cru.uea.ac.uk/
Subject Page
http://www.cru.uea.ac.uk/cru/data/temperature/hadcrut3gl.txt
YEARLY AVERAGE TEMPERATURES IN DEGREES CELSIUS RELATIVE TO A COMPUTED TEMPERATURE NORM OF APPROXIMATELY 15C.

1850 -0.447
1851 -0.292
1852 -0.294
1853 -0.337
1854 -0.307
1855 -0.321
1856 -0.406
1857 -0.503
1858 -0.513
1859 -0.349
1860 -0.372
1861 -0.412
1862 -0.540
1863 -0.315
1864 -0.516
1865 -0.297
1866 -0.303
1867 -0.334
1868 -0.291
1869 -0.313
1870 -0.302
1871 -0.344
1872 -0.255
1873 -0.331
1874 -0.397
1875 -0.418
1876 -0.403
1877 -0.091
1878 +0.023
1879 -0.265
1880 -0.260
1881 -0.242
1882 -0.246
1883 -0.298
1884 -0.381
1885 -0.362
1886 -0.275
1887 -0.387
1888 -0.337
1889 -0.192
1890 -0.431
1891 -0.378
1892 -0.484
1893 -0.505
1894 -0.444
1895 -0.420
1896 -0.211
1897 -0.243
1898 -0.432
1899 -0.314
1900 -0.223
1901 -0.302
1902 -0.431
1903 -0.509
1904 -0.554
1905 -0.412
1906 -0.329
1907 -0.507
1908 -0.559
1909 -0.564
1910 -0.548
1911 -0.581
1912 -0.491
1913 -0.489
1914 -0.305
1915 -0.213
1916 -0.434
1917 -0.506
1918 -0.388
1919 -0.331
1920 -0.314
1921 -0.261
1922 -0.381
1923 -0.347
1924 -0.360
1925 -0.274
1926 -0.162
1927 -0.254
1928 -0.255
1929 -0.376
1930 -0.165
1931 -0.124
1932 -0.155
1933 -0.297
1934 -0.159
1935 -0.184
1936 -0.152
1937 -0.034
1938 +0.009
1939 -0.001
1940 +0.018
1941 +0.077
1942 -0.031
1943 -0.028
1944 +0.120
1945 -0.007
1946 -0.205
1947 -0.197
1948 -0.204
1949 -0.211
1950 -0.309
1951 -0.169
1952 -0.074
1953 -0.027
1954 -0.251
1955 -0.281
1956 -0.349
1957 -0.073
1958 -0.010
1959 -0.072
1960 -0.123
1961 -0.023
1962 -0.021
1963 +0.002
1964 -0.295
1965 -0.216
1966 -0.147
1967 -0.149
1968 -0.159
1969 -0.010
1970 -0.067
1971 -0.190
1972 -0.056
1973 +0.077
1974 -0.213
1975 -0.170
1976 -0.254
1977 +0.019
1978 -0.063
1979 +0.049
1980 +0.077
1981 +0.120
1982 +0.011
1983 +0.177
1984 -0.021
1985 -0.038
1986 +0.029
1987 +0.179
1988 +0.180
1989 +0.103
1990 +0.254
1991 +0.212
1992 +0.061
1993 +0.105
1994 +0.171
1995 +0.275
1996 +0.137
1997 +0.351
1998 +0.546
1999 +0.296
2000 +0.270
2001 +0.409
2002 +0.464
2003 +0.473
2004 +0.447
2005 +0.482
2006 +0.421
2007 +0.403


1850 TO 2007 Data Points =157 years, 12 months per year, an average of very roughly 70 measurements per month = 157 x 12 x 70 = 131,880.

Note: The number of measurements per month were generally lower in the earlier years than in the more recent years.
0 Replies
 
Walter Hinteler
 
  1  
Reply Fri 25 Jan, 2008 11:16 am
NB (from ican's source):
Quote:
Why do global and hemispheric temperature anomalies differ from those quoted in the IPCC assessment and the media?

We have areally averaged grid-box temperature anomalies (using the HadCRUT3v dataset), with weighting according to the area of each 5° x 5° grid box, into hemispheric values; we then averaged these two values to create the global-average anomaly. However, the global and hemispheric anomalies used by IPCC and in the World Meteorological Organization and Met Office news releases were calculated using optimal averaging. This technique uses information on how temperatures at each location co-vary, to weight the data to take best account of areas where there are no observations at a given time. The method uses the same basic information (i.e. in future HadCRUT3v and subsequent improvements), along with the data-coverage and the measurement and sampling errors, to estimate uncertainties on the global and hemispheric average anomalies. The more elementary technique (used here) produces no estimates of uncertainties, but our results generally lie within the ranges estimated by optimum averaging. The constraint that the average be zero over 1961-90 in the optimal averages also adds a small offset compared to the other data described here.
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 11:40 am
ican711nm wrote:

1850 TO 2007 Data Points =157 years, 12 months per year, an average of very roughly 70 measurements per month = 157 x 12 x 70 = 131,880.

Note: The number of measurements per month were generally lower in the earlier years than in the more recent years.


30 DOW stocks selling at least 1.5 million shares a day times 20 market days a month x 100 years = 1,500,000,000 x 30 x 20 x 12 x 100 = 1,080,000,000,000.

Note: the number of shares sold per day was lower in earlier years but much higher in later years.

Are you sure my method wasn't valid? I have more underlying data than you do.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 11:44 am
parados wrote:
ican711nm wrote:
No! My data points, as you call them, were derived from 129 data points that were each derived from 12 monthly data points, that were themselves each derived from 28, 29, 30 or 31 daily data points.

Try as you may, you cannot validly rebut my data and the conclusions I derived from it.

Try another hypothesis.

Please see:
http://www.cru.uea.ac.uk/cru/data/temperature/hadcrut3gl.txt
for all my data points.

Hmm.. you only used that many data points?
My DOW data points used thousands of stocks sold per second over several days. (That would be the average of millions of data points.) My data points are created by MORE readings than yours but somehow you think my data points are not valid?
...

Our debate was not over whether or not your DOW model has more or less data points than my XYZ model or my AGTM (i.e., AVERAGE GLOBAL TEMPERATURE MODEL). Our debate was over whether or not my AGTM has only one or two data points, or many many more data points. I was correct. You were incorrect.

My AGTM model has many many data points.

Secondly we debated whether or not your DOW model was a valid analogy to my AGTM. My model focusses on some peaks and valleys in the history of average global temperatures since 1850. While your model appears to focus on the history of DOW closing but not average values: a low but not a valley value; and, a high but not a peak value.

Clearly your model is not a valid analogy to my model.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 11:48 am
Walter Hinteler wrote:
NB (from ican's source):
Quote:
Why do global and hemispheric temperature anomalies differ from those quoted in the IPCC assessment and the media?

We have areally averaged grid-box temperature anomalies (using the HadCRUT3v dataset), with weighting according to the area of each 5° x 5° grid box, into hemispheric values; we then averaged these two values to create the global-average anomaly. However, the global and hemispheric anomalies used by IPCC and in the World Meteorological Organization and Met Office news releases were calculated using optimal averaging. This technique uses information on how temperatures at each location co-vary, to weight the data to take best account of areas where there are no observations at a given time. The method uses the same basic information (i.e. in future HadCRUT3v and subsequent improvements), along with the data-coverage and the measurement and sampling errors, to estimate uncertainties on the global and hemispheric average anomalies. The more elementary technique (used here) produces no estimates of uncertainties, but our results generally lie within the ranges estimated by optimum averaging. The constraint that the average be zero over 1961-90 in the optimal averages also adds a small offset compared to the other data described here.

And therefore you conclude what about whether or not humans are contributing more than TRIVIALLY TO GLOBAL WARMING?
0 Replies
 
username
 
  1  
Reply Fri 25 Jan, 2008 12:04 pm
and your model is completely statistically invalid, ican. That's why when they measure global temperature's variance from the mean they use a 30 year average (1961-1990, if I remember correctly) as the mean, simply because any given year can be unpredictably different from the overall mean (as 1998 is quite different from the mean because it was the strongest el Nino on record, as I keep telling you and you keep ignoring, since you'd apparently rather play with numbers deovid of any actual context, rather than finding out what those numbers are actually measuring and mean). Since you admit you're intentionally choosing maxima or minima to compute change from, since you're therefore choosing years with something non-regular appearing in them, you're producing the mathematical equivalent of gibberish.
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 12:20 pm
ican711nm wrote:

Our debate was not over whether or not your DOW model has more or less data points than my XYZ model or my AGTM (i.e., AVERAGE GLOBAL TEMPERATURE MODEL). Our debate was over whether or not my AGTM has only one or two data points, or many many more data points. I was correct. You were incorrect.

My AGTM model has many many data points.
It has data for 157 year but you only used the data from 4 of those years. So the only thing you are showing is how much data you ignored. You did not use the data from 1910 or 1912, 1913... 1997, etc. Your claim of all the data points in the progression is meaningless since you didn't use most of it. If we use your math you ignored 128,520 data points to pick your select few.
Quote:

Secondly we debated whether or not your DOW model was a valid analogy to my AGTM. My model focusses on some peaks and valleys in the history of average global temperatures since 1850. While your model appears to focus on the history of DOW closing but not average values: a low but not a valley value; and, a high but not a peak value.
You don't even know which data I used as evidenced by your statement yet you can claim I wasn't using it correctly? I never once used closing values.
Quote:

Clearly your model is not a valid analogy to my model.
I am wondering how you can claim my model is not a valid analogy since you don't even know which data I used. Only more evidence of your complete lack of thinking skills.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 12:40 pm
username wrote:
and your model is completely statistically invalid, ican. That's why when they measure global temperature's variance from the mean they use a 30 year average (1961-1990, if I remember correctly) as the mean, simply because any given year can be unpredictably different from the overall mean (as 1998 is quite different from the mean because it was the strongest el Nino on record, as I keep telling you and you keep ignoring, since you'd apparently rather play with numbers deovid of any actual context, rather than finding out what those numbers are actually measuring and mean). Since you admit you're intentionally choosing maxima or minima to compute change from, since you're therefore choosing years with something non-regular appearing in them, you're producing the mathematical equivalent of gibberish.

My model is valid whether or not you think so. It is numerically and logically equivalent to these:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let the facts rule!
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 12:47 pm
ican711nm wrote:

My model is valid whether or not you think so.


......


Let the facts rule!


Or not, as your case may be.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 12:55 pm
parados wrote:

...
You don't even know which data I used as evidenced by your statement yet you can claim I wasn't using it correctly? I never once used closing values.

I gave you the benefit of my doubt. The fact that they were not actually example closing values makes your model not only an invalid analogue, but makes it also irrational.
[quote="ican711nm"]]
Clearly your model is not a valid analogy to my model.


I am wondering how you can claim my model is not a valid analogy since you don't even know which data I used. ...[/quote]
It doesn't matter which data you used. What matters is the way you used it. I illustrated that by my XYZ model. What makes it an invalid analogy is that you did not use your data--whatever whichaway you selected it--in a manner that was comparable to my comparison of peaks and valleys of average historical values presented here:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let the facts rule!
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 12:58 pm
parados wrote:
ican711nm wrote:

My model is valid whether or not you think so.


......


Let the facts rule!


Or not, as your case may be.

Look at:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let the facts rule!
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 12:59 pm
ican711nm wrote:


http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;
The graph does NOT use only 4 specific years of data. It uses a 5 year average which is what you are NOT using.
Quote:

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;
Same thing, the graph uses a 5 year average unlike you.

Just because the wrong methodology was used and came up with a result you think is similar to the correct methodology does NOT make the methodology correct. A clerk at a store could throw coins in the air and the correct change could well land on the counter but it doesn't mean he calculated change in the correct manner.

First of all, the charts show a WARMING from 1998 to today which is the direct opposite of your claim. Secondly, they show a different increase in temperature from 1911 to 1998. So the charts don't support your claims. The results are different when the correct methodology is used.
0 Replies
 
Diest TKO
 
  1  
Reply Fri 25 Jan, 2008 01:06 pm
Ican711nm - You keep using sources... partially.

http://www.metoffice.gov.uk/corporate/pressoffice/myths/index.html

T
K
O
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 01:17 pm
Diest TKO wrote:
Ican711nm - You keep using sources... partially.

http://www.metoffice.gov.uk/corporate/pressoffice/myths/index.html

T
K
O

You again have failed to answer my questions about what specifically it is about my conclusions from my AGTM (i.e., AVERAGE GLOBAL TEMPERATURE MODEL) that you disagree with.

Look at:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let the facts rule!
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 01:43 pm
Repeating your post for the third time doesn't hide the fact that you did NOT use most of the data from Hadcrut in your model.

That is the problem in your model. Accurate models should use ALL the data. Your model uses only the yearly average from 4 years out of 157.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 02:00 pm
parados wrote:
Repeating your post for the third time doesn't hide the fact that you did NOT use most of the data from Hadcrut in your model.

That is the problem in your model. Accurate models should use ALL the data. Your model uses only the yearly average from 4 years out of 157.

I used all the Hadcrut data relevant to my conclusion:
1878-1911 & 1998-2007 the average global temperature decreased at greater rates than the rate it increased 1911-1998.

You continue to fail to state specifically what it is about my conclusions from my AGTM (i.e., AVERAGE GLOBAL TEMPERATURE MODEL) model that you disagree with.

Look at:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let truth rule!
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 02:30 pm
Yes, please do look at the black curve on the graph. You will notice that 1998 is LOWER than where the black presently is on the graph in 2007.

If you can't see that the black curve does NOT support your claim than I can't help you. You are silly for suggesting that the black curve supports your conclusions. It does NOT. 1998 is the highest red spike. It is quite clear that the black curve crosses 1998 lower than where it is in 2000-2007. A simple measurement of the black curve shows an increase of about .1 degree C since 1998, not the decrease you keep claiming. I'll leave you to change it to fahrenhiet to see how far off your conclusions are.
0 Replies
 
ican711nm
 
  1  
Reply Fri 25 Jan, 2008 02:56 pm
parados wrote:
Yes, please do look at the black curve on the graph. You will notice that 1998 is LOWER than where the black presently is on the graph in 2007.
...

False!

The black curve is leveling off from a peak in 2002 and is heading downward thereafter as of 2007.
0 Replies
 
parados
 
  1  
Reply Fri 25 Jan, 2008 03:18 pm
ican711nm wrote:
parados wrote:
Yes, please do look at the black curve on the graph. You will notice that 1998 is LOWER than where the black presently is on the graph in 2007.
...

False!

The black curve is leveling off from a peak in 2002 and is heading downward thereafter as of 2007.

Rolling Eyes

yeah.. the level of the black curve in 2007 is what? Lower or higher than 1998?

Please, go ahead and make a complete ass of yourself.

You obviously are so interested in your partisan BS that you can't even be honest with others let alone yourself.
0 Replies
 
Diest TKO
 
  1  
Reply Fri 25 Jan, 2008 03:21 pm
ican711nm wrote:
Diest TKO wrote:
Ican711nm - You keep using sources... partially.

http://www.metoffice.gov.uk/corporate/pressoffice/myths/index.html

T
K
O

You again have failed to answer my questions about what specifically it is about my conclusions from my AGTM (i.e., AVERAGE GLOBAL TEMPERATURE MODEL) that you disagree with.

Look at:

http://www.cru.uea.ac.uk/ And examine the graph, especially the black curve in the graph;

http://www.cru.uea.ac.uk/cru/info/warming/ And examine the larger version of the graph, especially the black curve in the graph;

AND THEN CLICK ON: Comma-Separated Values to see again a list of the values I used in my model and were used to produce the graph, especially the black curve in the graph.

Let the facts rule!


My objections to your use of global averages is that global averages mean nothing in terms of local ecosystems or regional climates in general. You seem eager to diregaurd the heat effects of cities, but don't acknowlege how urban heat bubbles effect local ecology.

Direct question: What would the effect on climate be if all terrestrial and aquatic plant life were to die? I'm asking for a direct answer.

You keep using the same source, but you don't seem to be very comfortable with letting the rest of the source be read. It's obvious you don't understand what the data means. The writers of the source say this...

Quote:
There are also a number of misunderstandings and myths which are recycled, often by non-climate scientists, and portrayed as scientific fact.


They are talking about people like you ican.

And since it's been brought up a number of times, I thought I'd use YOUR source to address it.

Quote:
Myth 6 - 1998 was the warmest year in the global annual temperature record and this has led some to claim that temperatures have been decreasing ever since.
Global average surface temperature 1850-Nov 2007

1998 saw an exceptional El Niño event which contributed strongly to that record-breaking year. Research shows that an exceptional El Niño can warm global temperatures by about 0.2 °C in a single year, affecting both the ocean surface and the land air temperatures. It is therefore not surprising that 1998 appears as a warm outlier. Had any recent years experienced such an El-Niño, it is very likely that this record would have been broken. More recently, 2005 was also an unusually warm year, the second highest in the global record, but was not boosted by the El Niño conditions that augmented the warmth of 1998.

The fact remains that the rise in underlying surface temperature has averaged in excess of 0.15 °C per decade since the mid 1970s. A simple mathematical calculation of the temperature change over the latest decade (1998-2007) alone shows a continued warming of 0.1 °C per decade. The warming trend can be seen in the graph (right, top) of observed global temperatures. The red bars show the global annual surface temperature, which exhibit year-to-year variability. The blue line clearly shows the upward trend, far greater than the uncertainties which are shown as thin black bars. Recent slight slowing of the warming is due to a shift towards more-frequent La Niña conditions in the Pacific since 1998. These bring cool water up from the depths of the Pacific Ocean, cooling global temperatures.

Global annual ranked HadCRUT3

Another way of looking at the warming trend is that 1999 was a similar year to 2007 as far the cooling effects of La Niña are concerned. The 1999 global temperature was 0.26 °C above the 1961-90 average, whereas 2007 is expected to be 0.41 °C above this average, 0.15 °C warmer than 1999.

The diagram (right, bottom) ranks global temperatures for the last 150 years. It can be seen that the 17 warmest years all occur in the last 20 years.

To see the pictures, you'll need to open the link. While you are there, you read up on the other myths you adore ican.

Ican, you are cherry picking, but worse is that you are leaving a trail of seeds pack to the tree for everyone to follow. I think you are affraid of people getting their facts themselves. You'd rather buffer those facts and apply your own creative context.

You wouldn't know a fact if it bit your face.

T
K
O
0 Replies
 
 

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