"Station temperature" refers to the measurement of temperature recorded at a specific location or station. It gives an indication of the prevailing temperature in a particular area at a given time.
Full definition
Hawkins and Jones (2013) focused on one small aspect of Callendar's work: his compilation of World Weather Records
station temperature data into zonal and global temperature anomalies, in effect, delimiting Callendar, whose contribution was much more diverse, as a sort of John the Baptist of temperature accountancy, merely preparing the way for Phil Jones.
This breakpoint - adjusted data set provides a collection of adjusted, homogeneous station data that is recommended for users who want to avoid heterogeneities
in station temperature data.
Note: This audit of New Zealand
weather station temperature records was possible due to the Excel programming skills of former ABS statistician Ian Hill.
These include that the land, borehole and marine records substantially agree; and the fact that there is little difference between the long - term (1880 to 1998) rural (0.70 °C / century) and full set of
station temperature trends (actually less at 0.65 °C / century).
Raw land temperatures were calculated by assigning each station to a 5 × 5 latitude / longitude grid box, converting
station temperatures into anomalies relative to a 1971 - 2000 baseline period, averaging all the anomalies within each grid box for each month, and averaging all grid boxes for each month weighted by the land area within each grid box.
A senior scientist from CRU wrote, for example: «PS, I'm getting hassled by a couple of people to release the
CRU station temperature data.
1) The effect of urban heat islands on global and regional averages could be reduced if the compilers of the temperature datasets used area - weighted averaging of the
individual station temperatures.
This study is an extensive revision of the Climatic Research Unit (CRU)
land station temperature database that is used to produce a gridbox dataset of 5 ° latitude × 5 ° longitude temperature anomalies.
Gavin, why don't you want to post what this really proves, namely that all the «
station temperature error would be detected and corrected as part of the process.»
«By the way — the absence of any high elevation or high latitude stations would likely only serve to create a cold bias in the global temperature average because we calculate the gridded and global averages using anomalies — not
absolute station temperatures — as I explained in the information in my earlier e-mail to you.
However, the paper in question is Dole et al. (2011), which contained some serious flaws, failing to account for a glitch in the Moscow
July station temperature data, which saw an urban heat island correction erroneously applied, as discussed in detail by Stefan Rahmstorf at RealClimate.
CRUTEM3 was the subject of much of the criticism around the emails, and so «the review conducted a trial analysis to demonstrate what an independent researcher is able to do, using publicly available land
station temperature information, should they wish to replicate the CRUTEM analysis.»
The Climate Data Grapher —
Station Temperature includes annual average minimum temperature for Fredonia, NY in addition to the other following parameters:
Note that regional mean anomalies (in particular global anomalies) are not computed from the current absolute mean and the 1951 - 80 mean for that region, but
from station temperature anomalies.
The station and passive microwave records were combined into one record, and then the remaining missing data were filled in by optimizing the multiple linear regression relationship between the
Byrd Station temperature record and records from other Antarctic stations for each month, and for the annual means.