26, June, 2005, This site exposes the
errors and distortions in temperature records used by the IPCC as
evidence of "global warming", scroll down past Australian maps for
those pages. Radical new development as US
Congressional committee demands to see source data behind "Global
Warming" claims. Coolwire 11 reviews facts behind the Oxford University based
Climateprediction.net
climate modelling project which uses thousands of PC's around the world
to
run a Hadley Centre (UK Met Office) General Climate Model.
For BoM
predictive (max & min) temperature "Outlook" maps go to Coolwire 8 For
'02-04
rainfall "Outlooks", which seem just as flawed, go drought page See further below for Temperature trends in the
old USSR. Coolwire 10
exposes
urban warming effects in Alaskan temperature data Coolwire index
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science web sites
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Anomalies 1901-1996"
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GLOBAL WARMING
* Refers to thermometer based measures of global temperature changes over the last 150 or so years as promoted by the IPCC. |
Latest Articles Many articles in Coolwire Coolwire 7 shows original Greenhouse calculations of Arrhenius wrong Bob Foster attacks CSIRO domination of "Greenhouse" debate in Australia. See "Coolwire 4" Fairbanks and Anchorage Alaska, urban heat islands. Follow "City reviews" on left Australian Bureau of Meteorology discover UHI in small towns of 1000 population Critique of IPCC "Summary for Policymakers" Revamped October 02 by Bob Foster Did the French Antarctic team find the "ozone hole" in 1958, before CFC's ? Easterling et al 1997 DTR paper in SCIENCE sets new standards. Movie of grid point global temperature anomalies 1880-1998 Could Environmentalists and their Media Mates be telling lies ? Carolinas Coast grid cell "Baltimore Sun" op ed article, 27,Jul Ask Jack an example where Jack from "USA Today" got it wrong. FloridaGrid Cell bias. New Viewpoint on atmospheric carbon dioxide. Read what prominent IPCC scientists
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Moscow / Kyoto Special Over the next few months the Russian
government is debating whether or not to ratify Kyoto. A situation rife
with many ironies. How will the Moscow mandarins sell Kyoto to
its far flung people who every year of their lives battle winter
hardships that few of us have any experience of. How will
the "sell" go. Could this line work, "Comrades, the
Europeans are taxing ther people in order to save you from warmer
winters. They want us to join them in the Kyoto treaty."
Can you hear the silence echoing from the icicles
around a hall in Siberia. But we know the issue will
not be decided on the common sense of the Russian people and their
scientists but on what the Europe politicians can deliver in booty to
the Kremlin bosses. As if there is not enough irony in the above
for one story. We have the situation that looking at the global
distribution of "warming anomalies" going to make up IPCC "Global
Warming", it
is clear the the "noisy" temperature data in the old USSR gave Dr
Jones and his Norwich Climate Research Unit their best hunting
grounds to generate high magnitude warming anomalies.
Unfortunately
for the citizens of those far flung regions the only way to
enjoy warmer
winters is to live in an urban heat island (UHI) and/or have
access to the fuel you need at a price you can afford. Kyoto
will not affect UHI's but will make your life harder with
higher energy
prices more likely. The article below sets out chapter and verse
how the Jones / IPCC high magnitude warming anomalies have been
generated and how a more realistic survey of those data would see much
less warming hence much less global warming.
You read it first here.
USSR High Magnitude Climate Warming Anomalies 1901-1996
Abstract
Station temperature records are examined in nine five-by-five degree grid cells in the former USSR claimed by Karl 1998 to have warmed by circa 2 degrees over the period 1901-1996. Karl’s results, derived from updated Jones 1994 grid point data, are compared with temperature records from the Jones 1994 global update, the V2 GHCN and the NASA GISS website. In no grid cells are rural station records found to justify the warming claimed in Karl 1998. In three grid cells, stations with warming trends close to the Karl 1998 anomaly magnitudes are found, but in all three cases cities are the source of the apparent warming, which is not apparent at nearby small town or rural stations. The other six grid boxes contain either stations not warming at the rate suggested in Karl 1998, or very incomplete data for the 1901-1996 period. Station-by-station comparisons in all grid boxes show significant trend differences between Jones 1994 and GHCN/GISS data.
Introduction
The veracity of the surface temperature record will continue to be questioned as long as the aggregates used include urban sites, and as long as there is significant departure from lower troposphere temperature trends measured by radiosondes and satellites.
In recent years it has become apparent that a sizeable share of
century-long "global warming" was in the region of the former
USSR. This paper examines at the level of individual weather
station records the evidence for the claim in Karl 1998 of circa 2
degrees warming during 1901-1996 in nine grid boxes in Siberia and
eastern Kazahkstan. Figure 1 shows
the warming over this period from the updated Jones 1994 global dataset
as
used by Karl 1998 in his contribution to the IPCC publication "The
Regional Impacts of Climate Change".
Figure 1
The boxes shaded grey in Figure 2 were shown in Karl 1998 as warming by 2 degrees over the indicated period. In this and subsequent figures, crosses indicate Jones 1994 stations, while square diamonds show the Version 2 GHCN stations of Peterson and Vose 1997. The boxes form four zones, reviews of which can be accessed through the following links:
Tarko Sale, Khanty-Mansi Region of Siberia
Far Eastern Siberia, Sea of Ohotsk
Eastern Kazahkstan - Lake
Balkhash
Figure 2
Notes on Data Sources/Temperature Records
The Version 2 Global Historical Climate Network (GHCN) station data (Peterson and Vose 1997) provide the mainstay for this study. These data come from ~7000 stations worldwide, but GHCN mean adjusted data are based on a smaller sample which excludes poorer quality data.
There are 312 stations from the old USSR in the GHCN. It should be noted that the GHCN contains duplicate data for many station names. This is often because separate nearby localities in cities have been archived together. The duplicates are numbered in the GHCN data files starting from 0 (the GHCN preferred version). Version 0 has always been used here. This detail is mentioned because as will be seen in this review, other surveys have accessed different data sources resulting in disparate data choices for the same station. As an example of this, Figure 3, downloaded from the GISS website, shows that 7 sets of widely divergent data are available for Irkutsk.
Figure 3
The Jones 1994 updated data contains just over 3500 stations, more than twice the Jones et al 1991 compilation. In the area of the old USSR, 298 stations are shown, almost as many as in the GHCN.
The NASA GISS website provides a third source of global temperature records. By selecting points on a global map it is possible to view graphs (see Fig. 3) from a range of data types and also to download a table of the station data. GISS data is more processed than the GHCN and has fewer gaps, but the trends are usually similar to the GHCN. The term “gissGHCN” used on chart legends refers to GISS data termed “GHCN Adjusted”. This is the only GISS data used in this study.
Discussion
This study focuses on whether there is any evidence for the claimed
warming from rural stations where data can be demonstrated to be
substantially homogenous with neighbouring stations. It is
interesting that two recent papers by compilers of global temperature
databases, Peterson et al 1999
and Hansen et al 1999, which discuss the V2 GHCN and GISS data
respectively, insist that global trends are little affected whether one
uses rural station data only or mixed city/rural data. This is
not so in these USSR
high warming grid boxes, where cities clearly warm more than rural
stations.
The present study also shows that, to a surprisingly large extent, the issue of whether or not the claimed warming is present in these grid boxes depends on which set of station data the reader chooses to rely on. The Jones 1994 data, which also forms the basis for many IPCC presentations, generally warms more than GHCN/GISS data for equivalent stations. The differences between the two sets of data are significant and suggest that at least one is seriously flawed.
Many USSR stations have significant missing data which reduces the
confidence that can be placed in trends.
Summary of Findings
In not one grid box, in any of the datasets, could this survey find in homogenous rural records the 1901-1996 warming magnitudes featured in Karl 1998.
In 80% of comparisons the Jones 1994 trends were warmer than GHCN or GISS. The GHCN and GISS trends are generally in fair agreement considering the sparse station density and frequent gaps in data.
In some cases, strong warming trends were based on data from fast-growing cities such as Irkutsk. In view of the well-documented urban heat island effect in such localities and the easily demonstrable warming compared to nearby rural sites, the use of such data to contribute to global climatic trends lacks credibility.
Data gaps early in the 1901-1996 period, and the increased likelihood of outlier data in pre-1935 records which are hard to check, may have imparted other non-climatic effects on trends. In particular, Jones habit of often shortening data has inserted warming into a trend.
Despite the central control of the soviet system, the continuity of
meteorological recordings over the period is far from impressive.
It also appears that economic and social re-adjustments during the
1990's have precluded significant improvement in record-keeping over
this huge land-mass, despite the sharper focus on climate issues since
1988. Given the substantial contribution of “Soviet
warming” to “global warming” shown in Fig 1, it is
vital to reassess all of the Soviet station-by-station records.
References
Goddard Institute for Space Studies (GISS), (2000) Surface Temperature: Station Data. http://www.giss.nasa.gov/data/update/gistemp/station_data
Hansen, JR, Lebedeff S, (1987) Global trends of measured surface temperature. J. Geophysical Research 92:13,345-13,372
Hansen J, Ruedy R, Glascoe, J, Sato, M, (1999) GISS analysis of surface temperature change J. Geophys. Res. 104: 30997-31022.
Jones PD , Raper SCB, Bradley RS, Diaz HF, Kelly PM, Wigley TML. (1986) Northern Hemisphere surface air temperature variations 1851-1984. J. Clim Appl Met. 25:161-179
Jones PD , Raper SCB, Cherry BSG, Goodess CM, Wigley TML, Santer B, Kelly PM, Bradley RS, Diaz HF, . (1991) An Updated Global Grid Point Surface Air Temperature Anomaly Data Set: 1851-1990. Carbon Dioxide Research Program, Environmental Sciences Division, US Department of Energy.
Jones PD, (1994) Hemispheric surface air temperature variations: a reanalysis and an update to 1993. J Clim 7:1794-1802
Karl TR (1998) Annexe A; Regional trends and variations of temperature and precipitation in The regional impacts of climate change, Watson RT, Zinyowera MC, Moss RH (Eds) Cambridge University Press Cambridge
Peterson TC, Vose RS (1997) An overview of the Global Historical Climatology Network temperature database. Bull Amer Met Society 78: 2837-2849
Peterson et al (1999) Global rural temperature
trends. Geophysical Research Letters. Vol 26., No. 3, 328332.
© 2000, 2001, 2002 2003 Warwick Hughes
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