Tag Archives: us48

Surface Stations

People have quite reasonably asked about my connection with the surface stations article, given my puzzlement at Anthony’s announcement last week. Anthony described my last-minute involvement here. As readers are probably aware, I haven’t taken much issue with temperature data other than pressing the field to be more transparent. The satellite data seems quite convincing […]

NASA GISS – Adjusting the Adjustments

As a simple exercise, I quickly revisited the everchanging Hansen adjustments, a topic commented on acidly by E.M. Smith (Chiefio) in many posts – also see his interesting comments in the thread at a guest post at Anthony‘s, a post which revisited the race between 1934 and 1998 – an issue first raised at Climate […]

The Talking Points Memo

The NOAA Talking Points memo falls well short of a “full, true and plain disclosure” standard – aside from the failure to appropriately credit Watts (2009). They presented the following graphic that purported to show that NOAA’s negligent administration of the USHCN station network did not “matter”, describing the stations as follows: Two national time […]

Gridding from CRN1-2

In order to assess the 2006 anomaly in John V’s 2006 calculation reported previously, I’ve calculated a gridded anomaly for the U.S. using standard spatial smoothing software in R. This enables the calculation to be done in a few lines as explained below. I’ll also show results which reconcile most of the results to date. […]

2006 and CRN1-2

John V has posted some graphics recently arguing that CRN1-2 yielded pretty much the same results as major temperature indices and, in some sense, vindicated these results. As Gavin Schmidt has pointed out, the U.S. is only 2% of the world’s surface; and as I’ve observed on many occasions, the statistical methodologies and data quality […]

A Second Look at USHCN Classification

Yesterday, I posted up a first look at differences between station histories classified as CRN=1 (good) versus CRN=5 (bad) – a simple comparison of averages, noting that other factors may well enter into the comparison. A couple of other points that I’ve made consistently as we look at these results which I’d like people to […]

First Look at the USHCN Quality Classification

Anthony Watts has posted up a quality assessment of the USHCN stations here. John V presented some graphics in the comments thread here and below is my first pass – this comment is not intended to exhaust all possible cross-cuts of the data is merely the first thing that I looked at. I compared the […]


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