We identified the most highly
urbanized stations in terms of associated population and night - light brightness.
Having said that, we saw in Section 2 (Figures 12 & 13) that the highly
urbanized stations are significantly affected by urbanization bias, with the bias introducing a warming bias of roughly 0.7 °C / century.
When a sample of highly
urbanized stations was tested, the adjustments successfully removed warming bias for the 1895 - 1980 period, but left the 1980s - 2000s period effectively unadjusted.
Where are the plots of trend for
urbanizing stations versus non-urbanizing?
Not exact matches
As the areas around the weather
stations became
urbanized, this would have introduced an urban heat island at the
station.
This is because many of the world's weather
stations are currently in
urbanized areas, but in the late 19th / early 20th centuries, these areas were rural (or at least less
urbanized).
As a result of this extra urban warmth, if a weather
station becomes
urbanized, this introduces an artificial warming bias into the
station's record, i.e., urbanization bias.
Soon, the weather
station itself becomes
urbanized (1980 - 2010).
Indeed, if we use NASA's satellite measurements of the average night - time city lights as an estimate of the amount of urbanization in the area, then we can see from Figure 31 that the
station is right in the middle of a very heavily
urbanized area.
In addition, only 99 of the
stations are highly
urbanized (in terms of population and average night - light intensity).
If you did that, the way that the amateur deniers think that contaminated data would enter the record — such as
stations becoming
urbanized, being tampered with, etc — would actually be true.
An even more worrisome result is that the adjustment procedure for one of the popular surface temperature datasets actually increases the temperature of the rural (i.e. best)
stations to match and even exceed the more
urbanized (i.e. poor)
stations... the adjustment process took the spurious warming of the poorer
stations and spread it throughout the entire set of
stations and even magnified it.
An even more worrisome result is that the adjustment procedure for one of the popular surface temperature datasets actually increases the temperature of the rural (i.e. best)
stations to match and even exceed the more
urbanized (i.e. poor)
stations.
If two
stations warm due to increasing populations and the 3rd does not, the 2 «
urbanized»
stations create a regional expectation for the assumed trend.
Even though most (99 %) of the Earth's surface is not
urbanized, some 27 % of the Monthly Global Historical Climatology Network (GHCN - M) temperature
stations are located in cities having populations of more than 50,000.
Other notable PHA - detected adjustments are minimum (and more modest maximum) temperature shifts associated with a widespread move of
stations from inner city rooftops to newly - constructed airports or wastewater treatment plants after 1940, as well as gradual corrections of
urbanizing sites like Reno, Nevada.
to select sites that haven't changed over that time period, all they are claiming is that once a
station is
urbanized, then the UHI doesn't increase very much.
With one Indian city already installing composters at every police
station, it seems composting could play an important role in a strategic approach to this rapidly
urbanizing country's waste challenges.
Such a phenomenon has been observed at urban
stations whereby once a site has become fully
urbanized, its trend is similar to those at surrounding rural sites.