In addition, he is correcting the data
for urban heat bias by the so - called population density adjustment.
Indeed, the NOAA has stopped correcting
for urban heat bias altogether, and their suface temperature record is diverging from other sources.
Not exact matches
However, the actual claim of IPCC is that the effects of
urban heat islands effects are likely small in the gridded temperature products (such as produced by GISS and Climate Research Unit (CRU)-RRB- because of efforts to correct
for those
biases.
Therefore one must correct
for the time of observation
bias before one tries to determine the effect of the
urban heat island»
There are good explanations of this
bias as well, such as failure to properly account
for the
urban heat island effect.
Fortunately McIntyre has acknowledged that TOB must be considered in their analysis, as has Watts, which is a good start, but they must also account
for the other
biases noted above in order to draw any valid conclusions about
urban heat influences.
There are too many potential sources of
bias which are not accounted
for, too many apples - to - oranges comparisons, and they can not draw any conclusions about
urban heat influences until their data are homogenized and other non-climate influences are removed.
«[NASA is] supposed to make a «homogenisation adjustment,» to allow
for [
urban heat island (UHI)-RSB-
bias,» Homewood wrote.
However, the preliminary analysis includes only a very small subset (2 %) of randomly chosen data, and does not include any method
for correcting
for biases such as the
urban heat island effect, the time of observation, or other potentially influential
biases.»
Energy balance climate sensitivity estimates are likely
biased high due to the failure to account
for the natural millennium cycle that is so obvious in the climate record, and the
urban heat island effect.
2) Some stations must be
biased warm by
urban heat islands, but their influence on the global trend can't be detected with any of the techniques available
for separating
urban and non-
urban stations.
Since then, a growing number of surface temperature measurement stations worldwide, coupled with improved methods
for correcting
for biases induced through
urban heat island effects and other station siting and operational issues, have allowed
for the development of accurate global temperature estimates.
Combining the OAS temperatures and OAA temperatures and using the century - scale trends
for each identified in the paper -LRB--0.03 K / century and +0.78 K / century, respectively), it may be concluded that instrumental temperature stations located in non-
urban areas and not subjected to artificial
urban heating bias produce an overall warming trend of just 0.375 K / century (0.038 K / decade) during 1900 - 2010.
The range of the gradient is 12 kilometers (grid 12 km by 12 km) and its purpose is to show whether or not accurate and meaningful C12 / C14 measurements can be made anywhere near a powerplant (
for instance) without introducing the same
bias as, say, an «
urban heat island».