Instead of
removing urbanization biases, it merely spreads the biases amongst all stations — urban and rural!
One of the groups using weather records to calculate global temperature trends has developed a computer program which they believe has
removed the urbanization biases from their data.
Since both types include a «cooling bias» adjustment, that means that only 15 % of NASA's adjustments are the expected adjustments to
remove urbanization bias.
They decided to develop a computer program which would automatically search through the weather station records and apply adjustments to
remove any urbanization bias.
Many people believe that the homogenization process is somehow able to
remove the urbanization biases from the data, and that they don't need to worry about urbanization bias as long as they use the homogenized versions of the datasets, e.g., Menne et al., 2009 (Open access).
Not exact matches
So the destruction of natural habitats and
urbanization not only affects the health of the environment, but it also affects our health and wellness by
removing healthy colonizing microbiota.»
In addition, using the techniques of Karl et al. (1988), NCDC generated temperature files in which the biases introduced by
urbanization effects were
removed.
Unlike many data sets that have been used in past climate studies, these data have been adjusted to
remove biases introduced by station moves, instrument changes, time - of - observation differences, and
urbanization effects.
So, NOAA's computer program introduces
urbanization bias into the rural records more often than it
removes it from the urban records.
They probably thought that if NASA had developed a program to explicitly correct for
urbanization bias, but it only
removes about 0.05 °C / century, then it's not a big deal.
The data, primarily from rural stations, have been adjusted to
remove artificial effects of
urbanization and station and instrument changes.