Scientists include older urban sites not because they are ignorant of
urban heat island effects, but because continuing to include them improves the accuracy of our identification of temperature trends.
Their global temperature estimates are reasonably accurate, and aren't seriously biased
by urban heat islands, or anything like that.
Further, decreasing building envelope temperatures and reducing air conditioning exhaust can
reduce urban heat island effect.
The state of knowledge
about urban heat islands around 1980 is described and work since then is assessed in terms of similarities to and contrasts with that situation.
If urban heat islands significantly biased the temperature record, then you'd expect a global map of temperature change to have red spots where the population is concentrated.
So, for a
typical urban heat island we would expect the first part of the adjustment to be slightly negative, and then the second part to be even more negative.
Indeed, the
term urban heat island is used to describe the dome of warm air that frequently builds up over towns and cities.
The reality is that the social, environmental and economic costs of
urban heat islands add up to a bill that is too high for humanity to pay.
The frequency of heat waves is expected to rise, made worse
by urban heat islands; and rainfall is projected to become intense and erratic in some regions.
They all use the same raw temperature data, and the issue is they make slightly different adjustments due to problems
of urban heat islands and so on.
Both of these project involving using mobile phones sensors to gather atmospheric data at an extremely granular level, and I was wondering whether you felt this could be useful for either storm forecasting (from micro-scale pressure readings) or for long term climate study (such
as urban heat island effects)?
Not much «blue» in the Arctic (not
with urban heat islands or heavy industries) with a mean zonal anomaly of +4 C near the Pole.
Like other occupied roof decks, they provide an active amenity to building tenants, and bring eco-system services such as
mitigating urban heat island effect and managing stormwater.
The host country can be using a near - continuous epgrade of data, working back through old paper records and applying recently - considered corrections
like urban heat island.
Oke, T. R., G. T. Johnson, D. G. Steyn and I. D. Watson, 1991: «Simulation of nocturnal surface
urban heat islands under «ideal» conditions: Part 2.
Therefore the windy - night trends are still highly likely to be less affected by
growing urban heat islands than the calm - night trends when the surface air is less connected to the air aloft which is also moving more slowly.