Since
the GISS urban adjustments are made with reference to rural stations surrounding around Kathmandu, the adjustment is HIGHLY DEPENDENT on whether regional rural stations are warming.
Similarly, its notable that
the GISS urban adjustments (via nightlights) don't appear to have a large impact vis - a-vis the unadjusted data, a point that others have previously made.
Not exact matches
NASA
GISS obtain much of their temperature data from the NOAA who adjust the data to filter out primarily time - of - observation bias (although their corrections also include inhomogeneities and
urban warming - more on NOAA
adjustments).
The
GISS adjustments consist of data quality control and a homogeneity
adjustment applied to
urban stations.
The
urban adjustment is improved in the current
GISS analysis.
The current
GISS analysis also uses satellite measurements of nightlights to identify
urban areas and remote stations in the United States (and southern Canada and northern Mexico); only «unlit» stations are used to define homogeneity
adjustments.
GISS Step 2 makes the
urban adjustment based on rural stations within 500 km of the
urban station.
Other groups like NASA Goddard Institute for Space Studies (
GISS) and the Climate Research Unit at the University of East Anglia (CRU) take data from NCDC and other sources and perform additional
adjustments, like
GISS's nightlight - based
urban heat island corrections.
Tony Heller has done an excellent job documenting the
GISS temperature fraud, dropped rural versus
urban stations, dropped North latitude stations versus South, same for elevation, completely made up data where no thermometers exit (vast parts of Africa, North Poles for early dates), Tobs
adjustments, need to go on?
It seems
GISS haven't heard about thin cloud, varying water vapour, dust and aerosols, which reduce the apparent brightness of
urban sites, which
GISS uses to estimate population density for the
adjustments.
GISS does make an
adjustment to deal with potential artifacts associated with
urban heat islands, whereby the long - term regional trend derived from rural stations is used instead of the trends from
urban centers in the analysis.