OK, folks, guess what. I’m now in possession of a CRU version giving data for every station in their station list . In their refusal letter, the Met Office described adverse consequences of disclosing CRU station data, an event that apparently would let loose the Four Horsemen of the Apocalypse. The Met Office stated: Some […]
In respect to the alleged CRU confidentiality agreements (which look increasingly fictitious), Jean S made the interesting observation that CRU archived station in the 1980s and early 1990s at CDIAC (ndp020) and that the alleged CRU confidentiality agreements, for some reason, did not interfere with that data being archived. Interestingly, I happen to have a […]
Let me review the request situation for readers. There are two institutions involved in the present round of FOI/EIR requests: CRU and the Met Office. Phil Jones of CRU collects station data and sends his “value added” version to the Met Office, who publish the HadCRU combined land-and-ocean index and also distribute the CRUTEM series […]
It must be humiliating for the UK Met Office to have to protect Phil Jones and CRU. Even a seasoned bureaucrat must have winced in order to write the following: Some of the information was provided to Professor Jones on the strict understanding by the data providers that this station data must not be publicly […]
For some reason, the main HadCRU global data set http://hadobs.metoffice.com/crutem3/diagnostics/global/nh+sh/monthly is missing September 1850. I noticed this when the plot came up one month short. I wonder why this month went AWOL.
I recently showed a couple of breakpoint comparisons for satellite data: RSS versus NOAA and RSS versus UAH. Today, I’ll show a similar comparison for UAH versus NOAA, again stratifying by Land, Ocean and All. (Unfortunately, I was unable to extract a satellite comparison for other major food group: the CRU_TAR (airport tarmac). Again, the […]
Christy et al (J Clim 2009), Surface Temperature Variations in East Africa and Possible Causes, is a really excellent article that will interest many readers interested in surface temperature data sets. It’s interesting on a number of counts, not all of which I have time to summarize today. It is a detailed study of station […]
Until I recently examined the underlying technical literature on the construction of the UAH and RSS satellite data sets, I had little appreciation of the complicated adjustment and estimation procedure involved in the satellite temperature indices. The UAH and RSS satellite temperature indices are constructed from many different satellites (TIROS-N, NOAA-6,7,8,9,10,11,12,14,…), each of which has […]
As we’ve discussed before (and is well known), clouds are the greatest source of uncertainty in climate sensitivity. Low-level (“boundary layer”) tropical clouds have been shown to be the largest source of inter-model difference among GCMs. Clouds have been known to be problematic for GCMs since at least the Charney Report in 1979. Given the […]
NOAA is first of the three main indices to be off the mark with June 2009 at 0.617 deg C, bouncing off the relatively low values of 2008. Given that the data is essentially common to HadISST, this is unsurprising. The difference between RSS and NOAA/HadCRU values is interesting in terms of the Big Red […]
Climate Audit 