Creating a worldwide well sampled
climatological station network could (in preliminary calculations) improve precision by a factor of three over current capabilities.
That needs a real
climatological station network, rather than making do with the meteorological network.
16
climatological stations at study area are considered.
Not exact matches
Many of these
stations caricatured as «poorly sited» may be giving excellent data if one's purpose is not
climatological but meteorological.
[3] Surfacestations.org describes itself as a «grass roots organization» that uses volunteers to collect information on weather
stations that are part of the United States Historical
Climatological Network (USHCN) and Global Historical
Climatological Network (GHCN).
The idea of gaining climate inferences from the NWS
Climatological Data network is not realistic without a careful examination of each
stations exposure history Thank the fire weather people for the RAWS network with little pavement, heated buildings or night - lights in their view shed.
Further, where is a reference to Dr. Watts work on the quality of the climate monitoring
stations that are part of the US Historical
Climatological Network (USHCN)?
Other major global land temperature reconstructions by NASA, NOAA, and the Hadley Center largely rely on the same set of monthly data from about 7,000
stations that comprise the Global Historical
Climatological Network (GHCN - M).
The SurfaceStations project was a crowd sourcing project started in June 2007, done entirely with citizen volunteers (over 650), created in response to the realization that very little physical site survey metadata exists for the entire United States Historical
Climatological Network (USHCN) and Global Historical
Climatological Network (GHCN) surface
station records worldwide.
This means that when you compare the raw and adjusted
stations, differences in elevation and other
climatological factors between the 1218
stations and the 650
stations will swamp any effects of actual adjustments (e.g. those for
station moves, instrument changes, etc.).
In 2007, Watts founded SurfaceStations.org, to collect information on weather
stations that are part of the United States Historical
Climatological Network (USHCN) and Global Historical
Climatological Network (GHCN).
CAMS
station surface air temperature anomalies for the globe with respect to the 1971 - 2000
climatological base period.
A subset of the 7,000 or so co-op
stations are part of the U.S. Historical
Climatological Network (USHCN), and are used to create the official estimate of U.S. temperatures.
Provisional estimates of average global temperatures based on monthly
climatological land -
station and sea - surface temperature records have suggested it could be the warmest year on record.
Using daily
station - based precipitation records from the United States Historical
Climatological Network for the years 1979 - 2008, it is found that there are two distinct sub-regions.
Using surface measurements of maximum and minimum temperatures from the Global Daily
Climatological Network data set, we find evidence of a weekly cycle in diurnal temperature range (DTR) for many
stations in the United States, Mexico, Japan, and China.
The results also suggest that changes in the predominant LULC (land use / land cover) conditions, within as great as a 10000 m radius of an observation
station, could significantly influence the
climatological DTR.»