Muleshoe

Human error in the surface temperature record

Guest essay by John Goetz As noted in an earlier post, the monthly raw averages for USHCN data are calculated with up to nine days are missing from the daily records. Those monthly averages are usually not discarded by the USHCN quality control and adjustment models, although the final values are almost always estimated as…

Change to Raw USHCN Value after Homogenization Estimate

Approximately 92% (or 99%) of USHCN surface temperature data consists of estimated values

An analysis of the U.S. Historical Climatological Network (USHCN) shows that only about 8%-1% (depending on the stage of processing) of the data survives in the climate record as unaltered/estimated data. Guest essay by John Goetz A previous post showed that the adjustment models applied to the GHCN data produce estimated values for  approximately 66% of…

KINGSTON_ RI_ Proximity

Can Temperature Adjustments Right a Wrong?

Guest Post by John Goetz Adjustments to temperature data continue to receive attention in the mainstream media and science blogs. Zeke Hausfather wrote an instructive post on the Climate Etc. blog last month explaining the rationale behind the Time of Observation (TOBS) adjustment. Mr. Hausfather pointed to the U.S. Climate Reference Network (CRN) as a…

Just Another East Coast Blizzard

Guest post by John Goetz I read Judah Cohen’s opinion piece in the New York Times yesterday and could not decide if he was being serious or not when he concluded “It’s all a snow job by nature. The reality is, we’re freezing not in spite of climate change but because of it.” He had…

GISS Step 1: Does it influence the trend?

Guest post by John Goetz The GISStemp Step 1 code combines “scribal records” (multiple temperature records collected at presumably the same station) into a single, continuous record. There are multiple detailed posts on Climate Audit (including this one) that describe the Step 1 process, known affectionately as The Bias Method. On the surface seems like…