John,
I have no problem whatsoever in comprehending the article, I also have no problem in putting it in context and spotting all the errors and fabrications. Neither do I have a problem analysing or processing data; I’ve been doing if for the last 27 years.
By defending the article it would appear that you lack the same level of comprehension or are knowingly prepared to continue referencing an article that has been proven to be factually inaccurate and misleading.
The article shows one graph – namely the decadal winter snow cover. Doesn’t it strike you as being somewhat suspicious that an article written under the bold headline of “2001-2010 was the snowiest decade on record” only focuses on the decadal winter snow coverage?
Do you think there could be a reason that Goddard failed to include graphs showing the year round snow coverage or graphs for the spring or summer coverage? Why did he not show annual graphs as well as, or instead of, decadal ones?
If he’d have included more comprehensive graphs then the claim that “2001-2010 was the snowiest decade on record” would have fallen flat on it’s face.
Here’s what the spring, summer, autumn and winter decadal graphs look like http://www.flickr.com/photos/trevorandclaire/4641312986/sizes/o/ and here’s the same four sets of data depicted annually http://www.flickr.com/photos/trevorandclaire/4641313130/sizes/o/
Here’s the graph showing the annual snow coverage on a decadal basis http://www.flickr.com/photos/trevorandclaire/4640733033/sizes/o/ and the data depicted annually http://www.flickr.com/photos/trevorandclaire/4640733081/sizes/o/
I’ve recreated the graphs using exactly the same data that Goddard used (unlike Goddard I haven’t discarded three-quarters of it). The graphs are presented in the same format so as to make comparisons easier and I’ve recreated Goddard’s errors in the labelling and / or data-source of the graphs.
Whether the inconsistency between the labels and data-source is a genuine error, the inability to handle data or a deliberate attempt to further deceive is unknown.
What is clear is that when the data source tallies with the labels on the graph there are some notable changes. Compare the two graphs depicted here http://www.flickr.com/photos/trevorandclaire/4643794688/sizes/o/ and also look at the annual trend on these two graphs http://www.flickr.com/photos/trevorandclaire/4643180499/sizes/o/ The graphs at the top of the page incorporate Goddard’s errors, the graphs at the bottom of the pages use the data that are actually specified on the graphs.
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RE: YOUR ADDED DETAILS
Thanks for the further comments. Originally I wasn’t going to comment on the second page you linked to but as you’ve specifically mentioned it then I will.
You’ll no doubt be disappointed to know that once again Goddard and Watts are distorting the facts to suit themselves and are deliberately spreading lies and false information (nothing new there then).
The gist of Goddard’s article is that the global climate models predicted there would be a decline in the snow cover in North America. It would help to read the full report rather than the few isolated comments that Goddard chooses to select http://www.geo.hunter.cuny.edu/people/fac/frei/frei_gong_2005_grl.pdf
So how does he go about disproving the accuracy of the models? Simple, he lies, distorts the figures, selects only the data that can be used to validate his claim, relies on incompatible data to deceive and distort, and discards everything that doesn’t support his notion.
Instead of comparing North American predictions with North American observations he decides instead to compare them with the observations for the whole of the northern hemisphere. Why would he so this? Because he knows that the models accurately predicted the decline in snow cover in North America but he won’t admit to this.
Here’s the data from the Rutgers University website that Goddard states he has used http://climate.rutgers.edu/snowcover/table_area.php?ui_set=2 and here’s the results when plotted as a graph http://www.flickr.com/photos/trevorandclaire/4643599055/sizes/o/ Strange isn’t it that when you look at the full picture it has a completely different meaning. You can download the data and verify their accuracy for yourself if you so desire.
So what does Goddard do next? He plots another graph showing the top 100 weeks of snow cover on a decadal basis. Once again he ignores the results for North America and chooses to use the data for the northern hemisphere. Not only does he do that but he includes the 1960’s in his graph even though the record doesn’t commence until week 40 in 1966 and he defines the decade for ‘2000’ as being 2000 to 2010, in Goddard’s world it seems a decade is 11 years long.
Here’s the weekly data from the northern hemisphere ordered according to snow cover http://climate.rutgers.edu/snowcover/table_area.php?ui_set=0&ui_sort=2 and here’s the same but for North America http://climate.rutgers.edu/snowcover/table_area.php?ui_set=0&ui_sort=5 If Goddard was being honest and knew what he was doing then this is the graph he would have produced http://www.flickr.com/photos/trevorandclaire/4643626377/sizes/o/ (again, you can verify the accuracy by running the numbers for yourself).
Goddard then produces a third graph, finally he is actually looking at North America. Up until now he’s been using annual data for the period 1967 to 2010. But now he decides to focus only on the winter data and to ignore everything prior to 1985. Why does he do this? Because it’s the only way he can get his graph to show the upward trend he so desperately wants to portray
And then in a brazen display of hypocrisy Goddard has the audacity to proclaim “Some web sites love using statistics to obfuscate. I have zero respect for these people.”
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TO JIM:
You may have considered the graph I posted previously was dubious, I guess that’s because it didn’t conform to what you would have liked to have seen. The fact remains that it is an absolute graphical representation of the entire dataset with no modifications made to it at all. I’m sorry if it shows a decline in snow cover but that’s just how it is.
You claim (falsely I believe) that you produced your own graphs and that these essentially verified Watt’s article. Please upload these graphs so we can all see them. If you don’t have the facilities to upload them then please forward your data to me and I can upload them for you. You can send the data in any format you want including as plain text (ASCII).
I have produced my own graphs that I have uploaded so that anyone can see them (see links above). The only modifications I made to the original dataset were the interpolations of 8 missing values, these were in the years 1968, 1969 and 1971.
I am more than happy to send you the data I used, I can easily convert it to XLS format complete with all functions. You can then pick at it as much as you like.