alt.energy.renewable

"Roger Coppock" wrote in message
news:b4efecf7-c3b6-40c2-a655-340b07085333@b5g2000pri.googlegroups.com...
~F/Dec P<>0 ST Station Name Lat Long AltFt Years
0.125 1.00 NH BETHLEHEM 44.28 -71.68 1380 114
0.255 1.00 NH DURHAM 43.15 -70.95 80 113
0.136 0.98 NH FIRST CONNECTICUT LAKE 45.08 -71.28 1660 88
0.267 1.00 NH HANOVER 43.70 -72.28 603 117
0.305 1.00 NH KEENE 42.95 -72.32 510 113
Every one of the state's 5 USHCN stations shows
significant warming.
*********************************

We know why don't we Coppcock!
C'mon admit it you're into this fraud aren't you?


Poor Station Location Causes Warm Temperature Bias

Roger Pielke Sr

February 19, 2008



http://climatesci.org/2008/02/19/photographic-documentation-of-poor-sitings-part-iii-from-our-jgr-paper/



Photographic Documentation of Poor Sitings - Part III From Our JGR Paper



Part I and II of this series of weblogs, discussed the serious limited
value of the use of a global average surface temperature anomaly to
diagnose the global radiative imbalance (i.e., global climate heat
system changes), and of a warm bias in the diagnosis of a global average
surface temperature trend when the minimum temperatures are used in its
construction.



In Part III, we discuss yet another serious issue that we raised in our
paper



Pielke Sr., R.A., C. Davey, D. Niyogi, S. Fall, J. Steinweg-Woods, K.
Hubbard, X. Lin, M. Cai, Y.-K. Lim, H. Li, J. Nielsen-Gammon, K. Gallo,
R. Hale, R. Mahmood, S. Foster, R.T. McNider, and P. Blanken, 2007:
Unresolved issues with the assessment of multi-decadal global land
surface temperature trends. J. Geophys. Res., 112, D24S08,
doi:10.1029/2006JD008229,



where we report,



Major problems with the microclimate exposure of a subset of surface
Historical Climate Network (HCN) sites have been photographed Easterling
et al. 1996; Davey and Pielke 2005]. The temperature instruments that
are used in the HCN are often sited close to buildings, under trees, and
near other local influences on the microclimate. These microclimate
influences also change over time."



The issue of the spatial and temporal representation of the temperature
data that is collected is so fundamental that it is a scandal for any
climate assessment that constructs a global average surface temperature
to ignore this issue.



Anthony Watts has, therefore, provided us a critically important study
to document these surface temperature measurement sites, since the US
government agency tasked with this responsibility (the National Climate
Data Center; NCDC) has refused to provide this photographic
documentation, despite information that they actually have accomplished
this task (the implication is that they are too embarrassed to show them
to the public).



The extensive photographic library already completed under the direction
of Anthony Watts with his volunteers can be accessed at "Weather
Stations". This a rich source of information, and I urge readers of
Climate Science to access his website.



Two further excellent examples of further analysis of the issue of poor
station exposure can be read at



Mahmood, Rezaul , Stuart A. Foster, and David Logan, 2006: The
Geoprofile metadata, exposure of instruments, and measurement bias in
climatic record revisited International Journal of Climatology

and

Brooks, Ashley Victoria. M.S., Purdue University, May, 2007. Assessment
of the Spatiotemporal Impacts of Land Use Land Cover Change on the
Historical Climate Network Temperature Trends in Indiana. Major
Professors: Dev Niyogi and Michael Baldwin.



The message from these analyses is that the use of the surface
temperature record from such observation sites to construct regional-,
zonal- and global- averages introduces a bias (which is expected to be a
significant warm bias) of an unknown magnitude. That this issue has not
been questioned in the climate assessments nor by most of the media
reports of the assessments is a scandal.



The conclusions we have reached with respect to the poor siting of the
surface temperature measurement sites, for use in multi-decadal trend
assessments, include:



the poorly sited locations can not be "corrected" by using nearby better
sited locations in order to provide added sources of independent data;
see Pielke Sr., R.A. J. Nielsen-Gammon, C. Davey, J. Angel, O. Bliss, N.
Doesken, M. Cai., S. Fall, D. Niyogi, K. Gallo, R. Hale, K.G. Hubbard,
X. Lin, H. Li, and S. Raman, 2007: Documentation of uncertainties and
biases associated with surface temperature measurement sites for climate
change assessment. Bull. Amer. Meteor. Soc., 88:6, 913-928., where we
concluded that"The use of temperature data from poorly sited stations
can lead to a false sense of confidence in the robustness of
multidecadal surface air temperature trend assessments".



The serious problem with poor sited surface temperature stations is a
worldwide problem, based on our sampling so far (e.g., see for Mongolia
and see for a range of locations around the globe).



The World Meteorological Organization and the National Climate Date
Center have been derelict in obtaining photographic documentation of
these observing sites.



Readers of Climate Science are encouraged to photograph the surface
temperature sites in their country of residence, that are used to
construct the land based contribution to the global average surface
temperature anomalies, and send to Anthony Watts in be included in his
very important (and essential) archiving of this information (his
website for this is Watts Up With That and at Anthony Watt's Searchable
Online Data Base ).






--



Warmest Regards

Bonzo

"The question scientists should now be asking is not how much it will
warm over the next 50 to 100 years, but why has it warmed so little
during the major carbon dioxide buildup?" Patrick J. Michaels,
Environmental Scientist , University of Virginia