Note that
when the GISTEMP data is masked to reduce the coverage to match one of the other datasets, the resulting temperature trend is a good match for the trend in the incomplete dataset.
And more importantly, what happens to the global averages
when the GIStemp code is fixed to handle the adjustments in a way that TRUE peer review shows is proper!
Not exact matches
Why is «B» better than «C»,
when «C» looks most like
GISTemp and HadCruT?
When the May figure for
GISTemp comes out (presumably) next week, the «hiatus» will most likely be no more.
GISS, didn't seem to have a problem in relying on those first ten years
when it constructed it's first
GISTEMP temperature record in 1987 with records from 1951 - 1980.
Re: EdeF (Jan 23 02:29), I remember EM Smith (ChiefIO) confused me
when I was asking him about the
GISTemp methodology, and he said there was no raw data.
They show a rising global mean temperature in the eighties and nineties
when the satellites (both UAH and RSS),
GISTEMP and NCDC all show a horizontal global mean from 1979 to 1997.
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.
The main point however is that those two series (Cowtan and Way and NASA
GISTEMP) continue to run warmer than the two non-interpolated series
when evaluated over the full 20 - year period.
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.
I exclude those because they're unlikely to be of use in the ccc -
gistemp analysis (in principle they could be combined in Step 1 with existing GHCN duplicates even
when they're short, but meh).
It is an archive of the
GISTEMP station record from Nov 2011
when we discontinued the use of NCDCs GHCNv2 dataset and is provided only as a historical facility.
So what does this all add up to
when we incorporate this new data into the
GISTEMP analysis?
These are both defendable choices, but
when calculating global mean anomalies in a situation where the Arctic is warming up rapidly, there is an obvious offset between the two records (and indeed
GISTEMP has been trending higher).