2) Influence of Urban Heating on the Global Temperature Land
Average Using Rural Sites Identified from MODIS Classifications Charlotte Wickham1, Judith Curry2, Don Groom3, Robert Jacobsen3, 4, Richard Muller3, 4, Saul Perlmutter3, 4, Robert Rohde5, Arthur Rosenfeld3, Jonathan Wurtele3, 4
It was authored by Charlotte Wickham, Judith Curry, Don Groom, Robert Jacobsen, Richard Muller, Saul Perlmutter, Robert Rohde, Arthur Rosenfeld, and Jonathan Wurtele and is titled Influence of Urban Heating on the Global Temperature Land
Average Using Rural Sites Identified from MODIS Classifications.
Not exact matches
For example, as part of the ongoing, international Prospective Urban and
Rural Epidemiological (PURE) study, researchers
used a dynamometer to measure grip strength in almost 140,000 adults in 17 countries, and they followed their health for an
average of four years.
Among the examples it
uses to refute those myths are that in 1990, white women had more than half of all the babies born to unmarried women; that in 1992, 56 percent of all poor children lived in suburbs or
rural areas; and that families on welfare have on
average...
Figure 12 compares the
average U.S. temperature trends when calculated
using just the most
rural stations to the trends calculated
using the most urban stations.
As an example suppose in 1950 50 % of the station
used for computing a US temp
average were
rural, and 50 % urban with constant 3C UHI effect (not increasing as per Parker).
The mean daily temperature of the urban and
rural areas is calculated
using a representative sample of core sites, and the UHI magnitude (MUHI) is calculated as the difference in the group
averages.
The Jones, peterson, parker approach has been to look at
rural stations and urban stations that actually get
used in the global
average.
This may be the reason for eliminating all the
rural 75 % of the met stations
used, just to keep the
average UHI in any subsequent studies within a certain range, so that the
average could be seen as somehow plausible.
GISS methodology, as you've observed consists of
using all
rural stations within 1000 miles to adjust station data, then calculation of lots of little gridcells with more blending and
averaging until, as you said appropriately, you felt like sticking knitting needles in your eyes.
In 2005, only 58 % of people living in
rural areas and small towns
used the Internet, well below the national
average.