Erudite_Eric wrote:
The automation you speak of is merely the format of the data.
True, which (unless truly automated) would require some form of data entry. Hence, susceptible to reductions in personnel, as are inaccessible (non-automated) stations.
Erudite_Eric wrote:
As for austerity, the station drop out started in the 1980s
Hmmm.
Erudite_Eric wrote:
Over the last 20 years less and less stations are used to compose the data set, favouring lower altitude and lower lattitude stations and stations in urbanised environments, such as airports.
2011 - 20 = 1991, which would make you right (for once ;P ). From 1980 to 1991: Gentle decline. From 1992 to 1992: Precipitous drop.
Erudite_Eric wrote:
Well it would, asking the student to mark their own papers and all that.
An inept analogy. The GISS data and processes can be run by those other than GISS, no point in cheating. Similar exercises have been undertaken on independently modelled versions of the GISS methodology. By splitting the GISS data into two sets - those stations continuing to report since 1992, and those that have not reported since 1992 - each produced their own GISSTemp plot. The open source Clear Climate Code[^] lot, modelled in Python. Zeke Hausfather[^], modelled in STATA (2nd Chart). Neither shows any warming effect arising from the dropout. Anyhow, Watts and D'Aleo changed their minds about altitudes and latitudes: SURFACE TEMPERATURE RECORDS: POLICY DRIVEN DECEPTION? SUMMARY FOR POLICYMAKERS January, 2010: 5. There has been a severe bias towards removing higher-altitude, higher-latitude, and rural stations, leading to a further serious overstatement of warming. June 2010: 5. There has been a significant increase in the number of missing months with 40% of the GHCN stations reporting at least one missing month. This