When asked to describe his «skepticism» about human - caused global warming, Watts went into a long discussion about his concerns that encroachment of human development
near surface temperature stations has introduced a bias into the temperature record.
Not exact matches
The two longest ones are of
temperature near the Earth's
surface: a vast network of weather
stations over land areas, and ship data from the oceans.
(1) In addition to the data of the
near -
surface temperatures, which are composed of measurements from weather
stations and sea
surface temperatures, there is also the microwave data from satellites, which can be used to estimate air
temperatures in the troposphere in a few kilometers altitude.
The
Surface Stations project has revealed that many of the thermometer shelters used for calculating
temperature trends are currently located
near artificial heating sources, such as the ones in the Marysville, California
station shown above (the thermometer is at the point labelled MMTS Shelter).
To determine these differences it is important to survey areas where the weather
stations, the urban one in particular, are not located
near a geophysical boundary where
surface temperatures in one direction are significantly different from those in other directions.
Estimates of
temperature variations
near the earth's
surface are based on thermometer readings taken daily at thousands of land
stations and on board thousands of ships.
Since the 1950s, research
stations on the Antarctic Peninsula have recorded some of the largest increases in
near -
surface air
temperature in the Southern Hemisphere.
The two that come to mind related to the «blacktop» effect on weather
station reporting (higher ground
temperatures in the immediate vicinity of urban weather
stations that were only at or immediately
near ground level due to urban development) and problems with ocean
surface temperature measuring methods.
Under «well - mixed» conditions, this forces the
near -
surface temperature to be constrained to values
near the freezing point of salt water, whether or not the associated land
station is much warmer or colder.
But based on withholding tests, it is far more statistically likely that our results are closer to the truth — assuming the underlying
station data is correct and that the covariance structure of the satellite data is a good proxy for the covariance structure of
near -
surface air
temperature measurements.