The Australian Bureau of Meteorology Gets it Wrong

Guest essay by Ed Thurstan Abstract The Australian Bureau of Meteorology (BoM) released a new temperature dataset – the “Australian Climate Observations Reference Network – Surface Air Temperature“ (ACORN-SAT) in early 2012, with data to the end of 2011. It is supposedly a ground-breaking daily homogenised dataset. Ground-breaking it certainly is. The BoM has brought…

About these ads

NCDC’s new USHCN hockey stick trick

Yesterday, NCDC released Version 2.5 of the USHCN data set. For those who don’t know, this is the U.S. Historical Climatology Network (USHCN) which NCDC considers a “gold standard” for US temperature measurements. Problem is, the reality of the old network is that it is fraught with all sort of inconsistencies throughout its record such…

Errors in Estimating Mean Temperature – Part II

Guest post by Lance Wallace Last week (Aug 30), Anthony Watts posted my analysis of the errors in estimating true mean temperatures due to the use of the (Tmin+Tmax)/2 approach widely used in thousands of temperature measuring stations worldwide: http://wattsupwiththat.com/2012/08/30/errors-in-estimating-temperatures-using-the-average-of-tmax-and-tmin-analysis-of-the-uscrn-temperature-stations/ . The errors were determined using the 125 stations in NOAA’s recently-established US Climate Reference…

Errors in Estimating Temperatures Using the Average of Tmax and Tmin—Analysis of the USCRN Temperature Stations

Guest post by Lance Wallace Abstract The traditional estimate of temperature at measuring stations has been to average the highest (Tmax) and lowest (Tmin) daily measurements. This leads to error in estimating the true mean temperature. What is the magnitude of this error and how does it depend on geographic and climatic variables? The US…