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Originally posted by melatonin
The deception is obvious here, and its nothing to do with NIWA. And now, yeah, Treadgold is a random blogger. So is Watt at the Wattatwit blog - but he's like a black hole for the ignorant deniers.
Originally posted by melatonin
I've already posted the link to the raw data. It's in a post further up the page in a reply to you.
You entirely free to play scientist with it if you want.
Originally posted by IgnoranceIsntBlisss
Too bad its a bad link.
Too funny.
Originally posted by Curious and Concerned
It's interesting that you attack people who aren't climate scientists, as if it's all you need to do to discredit them.
Yet you are happy to accept quotes from Gareth Renowden (not a climate scientist either, but an enthusiastic truffle hunter, who’s has been shown to be wrong regarding climate change on so many occasions.) when he says something that attempts to bolster your cause.
Your witty names for sites which go against your ideologies are amusing as well. Quite the comedian, aren't you.
If they could give adequate reasons for ALL of the sites, then that would be acceptable to clear their name.
But at this stage, they haven't. It just looks like their in damage control mode, much like CRU, and possibly other weather agencies around the world in the near future.
Originally posted by IgnoranceIsntBlisss
You mean you dont have me on ignore?!?!
I tried it yesterday and just now.
I'm still awaiting your response to my "Its conclusive" thread:
www.abovetopsecret.com...
Originally posted by IgnoranceIsntBlisss
Too bad its a bad link.
Too funny.
Originally posted by melatonin
NASA-GISS use the data from NCDC/NOAA. It's here:
ftp.ncdc.noaa.gov...
Originally posted by john124
Once again, the "denier's" claims are debunked, and can be explained as standardized & mundane scientific practices in climate science!
That link with NASA data works here fine.
Originally posted by IgnoranceIsntBlisss
Originally posted by melatonin
NASA-GISS use the data from NCDC/NOAA. It's here:
ftp.ncdc.noaa.gov...
Posting the link to an ftp server doesnt prove anything. No description is involved there.
p 2843
The first stage examines the quality and appropriateness of the source datasets. Thirty-one source datasets contributed temperature data to GHCN while several additional potential sources had to be rejected. The rejections were primarily caused by (a) homogeneity-adjusted data without access to original observations; (b) the monthly data were derived from synoptic reports, which are almost always incomplete, thereby causing unacceptable errors or biases; and (c) significant processing errors that indicated the source dataset was unreliable.
•Climate data (raw)
•Climate data (processed)
•Paleo-data
•Paleo Reconstructions (including code)
•Large-scale model (Reanalysis) output
•Large-scale model (GCM) output
•Model codes (GCMs)
•Model codes (other)
•Data Visualisation and Analysis
•Master Repositories of climate and other Earth Science data
Are you saying that Watt is lying when he says all the data is adjusted?
Nice graph you've posted.
The irony is, even if we do take this (the entire history of 1200 stations) as extremely reliable and accurate, that still only shows 1' of incrrease since 1950. But nice try! The graph begisn at 1950, the start of a cool period. Begining at 1900, theres hardly any increase at all
If you could show us the official graph they used to present before they adjusted the 70 sites to match the remainder?
Originally posted by melatonin
Originally posted by IgnoranceIsntBlisss
Are you saying that Watt is lying when he says all the data is adjusted?
Yes, data is processed and adjusted. We've just been talking about it. There are good reasons to adjust for site changes and other site effects. Using the raw data blindly like Treadgold leads to moron science.
Most long-term climate stations have undergone changes that make a time series of their observations inhomogeneous. There are many causes for the discontinuities, including changes in instruments, shelters, the environment around the shelter, the location of the station, the time of observation, and the method used to calculate mean temperature.
...
Before one can reliably use such climate data for analysis of longterm climate change, adjustments are needed to compensate for the nonclimatic discontinuities. GHCN temperature data include two different datasets: the original data and a homogeneity-adjusted dataset.
The first stage examines the quality and appropriateness of the source datasets. Thirty-one source datasets contributed temperature data to GHCN while several additional potential sources had to be rejected. The rejections were primarily caused by (a) homogeneity-adjusted data without access to original observations; (b) the monthly data were derived from synoptic reports, which are almost always incomplete, thereby causing unacceptable errors or biases; and (c) significant processing errors that indicated the source dataset was unreliable.
And if you want to believe schoolboy 'science' from a random guy like Mr Treadgold, that's your prerogative. Laughs aplenty at your credulous nature.
Urban Heat Island Effect is a major issue with land station data temps rising over the past 150 years.
So the siting of land stations has an important influence on measurements?
Do you just connect the measurements as if the move never happened (see Threadgold)?
Or do you try to adjust for the effect of moving the station (see NIWA)?
NCAR paper on record high temperatures an artifact of putting thermometers in urbanized areas
"A new paper that is soon to appear in the journal Geophysical Research Letters finds that across the U.S. daily record high temperatures are being set at about twice the frequency of daily record low temperatures and that this ratio—number of record highs to the number of record lows, has been growing larger over the past 50 years.
The popular press seems to be particularly taken with this finding, although headline proclamations fail to disclose important details of the actual findings reported by the National Center for Atmospheric Research’s (NCAR) Gerald Meehl and colleagues.
...
Meehl et al. find that the reason more daily maximum temperature records are being set than daily minimum temperatures records is because there are fewer than expected daily lows records being set, not because there are more daily high records than expected.
...
So, the bottom line here is this—climate change in the U.S. during the past 50 years has resulted in fewer extreme nighttime low temperatures, while the daily extreme high temperatures have been little affected. And, at least one leading climate model fails to correctly capture this behavior.
Originally posted by melatonin
The point is more a case of if random blogger says x and y, then it makes sense to check further. However, it's not Gareth representing himself under the grand authoritative titles 'New Zealand Climate Science Coalition' and 'Climate Conservation Group'.
Originally posted by melatonin
The reasons will be the same. Siting issues. That's the reason for homogenisation of the data. For example, Dunedin, Musselburgh has only been collecting data for 26 years. Before that the station would have been elsewhere.
So the siting of land stations has an important influence on measurements?
Originally posted by Curious and Concerned
Hey Mel, I've been away for a while. Gareth does in fact try to represent himself as some kind of authoritive figure on climate change over at hot topic.
But you'd be forgiven for not knowing this, as it is mostly just an echo chamber for AGW scare stories and political fear mongering. Not really a lot to look at. I tried to find the post where they use a fictional book showing the effects of hypothetical rises in temperatre up to 6 degrees, and then claim that that is what we are headed for. It's quite funny, but I couldn't find it, sorry.
I know you appear to be confident that all is well with the record, even without seeing what changes have been made. But the fact is they haven't released their adjustments, and have used broad based explanations to dismiss any questions regarding them.
Sure that should be the reason they have been adjusted. But have they been adjusted correctly? Or is it like the Darwin adjustments across the ditch in Oz.
It's quite interesting that I'm starting to see a trend here. Raw data showing variation but little to no warming trend. Then the "homogenization" suddenly showing a clear warming trend...
Nah, nothing to see here.
Seriously though, I'm happy to see that these adjustments have been done correctly. But just saying they did without knowing is foolish, so I'll wait till the appropriate responses have been made.
A change in the type of thermometer shelter used at many Australian observation sites in the early 20th century resulted in a sudden drop in recorded temperatures which is entirely spurious. It is for this reason that these early data are currently not used for monitoring climate change. Other common changes at Australian sites over time include location moves, construction of buildings or growth of vegetation around the observation site and, more recently, the introduction of Automatic Weather Stations.