Here are some notes and functions on some work that I did last fall trying to benchmark the GISS Step 2 adjustment in a non-US site. My first efforts to follow the written prescription have been unsuccessful. I’m placing some tools and a benchmark case (Wellington NZ) online and perhaps people who are trying to […]
Yesterday I described the work done to the surface station records in Hansen Step 2 in preparation for adjusting urban stations to match the trend of nearby rural stations. The basic substeps are Deciding which stations are rural and which are urban. The methodology used for most of North America differs from that applied to […]
My curiosity in the mathematics behind the homogeneity adjustment caused me to finally take a close look at Hansen Step 2. This turned out to be an incredibly torturous task. A quote from a Stephen King short story, The Jaunt, came to mind as I plowed through lines of code: “It’s eternity in there…“. However, […]
Steve Mosher provides the following recipe for getting GISS Model E results: Ok getting ModelE data Start here http://data.giss.nasa.gov/ See the link for climate simulations of 1880-2003. click that http://data.giss.nasa.gov/modelE/transient/climsim.html Here you will see the link to the paper and all the readme I know of now to get the data look at table 1. […]
Update: As noted in the comments below, GISS updated the GLB.Ts+dSST anomalies which show a large 0.67 degC value for March. This addition of March 2008 temperature data to the record caused a corresponding drop in annual average temperature for the years 1946 and 1903. According to GISS, 1946 is now colder than 1960 and […]
Over the last few days, I’ve shown that Hansen et al 1999 illustrated and discussed the effect of the NASA adjustment for two stations (Phoenix, Tokyo) where the NASA urban adjustment yielded the expected adjustment (denoted in these posts as a “positive” adjustment). In an earlier post, I’d observed that negative urban adjustments (i.e. for […]
A few days ago, I commented on the surprisingly large negative urban adjustments made by NASA at several Peruvian stations. I’ve now calculated the maximum negative and maximum positive urban adjustments at all NASA stations – something that I was able to do only because of my scraping of NASA data from their website (something […]
In my discussion of Peruvian stations, I noted several examples of negative urban adjustments. A couple of readers inquired as to whether there were any examples of the opposite effect. In fact, Hansen et al 1999, the primary reference for the present-day GISS adjustment methodology provides using two such examples (the only ones discussed): Phoenix […]
As an exercise, I’ve plotted the locations of the GISS Code 1 stations in the US, color coded them to show the ones that end early and then examined the Code 1 stations in California where there is a combination of both a strong GISS trend anomaly and station survey completion.
Climate Audit 