However, there were some down as missing data. TempLS needs some lat/lon info - perfect accuracy isn't necessary, but for the weighting it needs to know within a degree or so. So I tracked some of them down. None of the stations are major data sources, so they could have been omitted. Many were in a group of Argentine stations from the early Smithsonian data set. But I tracked the lat/lon to an accuracy that was adequate for my needs - below the jump.
The table of missing lat/lon data is here:
|85997||377||254||-999||SERRO DO PILAR||PORTUGAL||19011930||101901|
|999207||-391||676||-999||CORONEL J.J. GOMEZ||ARGENTINA||19311960||101931|
In the table, I've replaced the missing lat/lon (2nd and 3rd cols) by what I think is the coords of the town referred to. Remember that CRUTEM uses negative longitudes. Sometimes there is some ambiguity - for TOSARI, for example, I punted for the mountain town in Java (as suggested by altitude and WMO number).
I couldn't locate LONDON, Australia (it's hard to search for), but there were only two years of readings, so I dropped it. VILLA NEUGUES I assumed was a typo for something involving Neuquen. Tjibodas I tt\ook to be the botanic gargens near Jakarta, and Angel Gallardo the district in BA.
I corrected an error with Clare Post Office. It was entered twice - once with the major set of data, and once with a patchy set, mostly missing , and with latitude of wrong sign. I corrected the latitude, but probably the whole set should be omitted.
There is a lot of altitude data missing (-999), but I don't need it.