Oklahoma has 44 stations in the USHCN network from Ada to Webbers Falls, and they are spread relatively evenly over the state.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgSuj-BglRHwjnOF3DZgBVpLC3DCR4-meJSVdF8t50xjz4Ofk_jryFWVSF7Wqq2yIOIXN6ejZfy5w4c8ujiWjVikSMBte1FutulCHub-GJFClYwoGJ-GzvnYe4g3uowEG8FU0QPmeeSSlk/s320/1+OK+weather+station+locations.png)
There are two GISS stations in the state (according to Chiefio’s list) and these are in Tulsa and Oklahoma City. Well guess what? There is a full record for Oklahoma City, but as for Tulsa . . . .(see below the fold).
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnpcQQ9ITu_Nc4u6Wo10mSms6tvQHuQHF1WQfnv4oRpdH5PU2gk-jeD8GpJsAiADGir1TJ7alpQDhRrZ997nZz5LK7kEarmXSectBm80QSqnd9rXyvWR8HTokWKOqDMMrzSzQobj4Q0MI/s320/2.+Oklahoma+City+GISS+station+plot.png)
It is perhaps now no surprise, sadly, that the record for Tulsa only goes back to 1948.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjhD7-Qs8i7Gmm43zoefAHbBNolwCqSaKdRwhPJhafxXtEEicHwaU36jEZVVIhyphenhyphen_h401F4UccF-_Q8Y421U2NlLgaeTYg4l4RRODv8omn8nDts15ML5SL6mZ0UWYHCjyKKP2zJF1vt_yPI/s320/3+Tulsa+OK+GISS+station+plot.png)
Filling out the population data, Kenton does not appear in the citi-data set, and so I used zip-codes.com to get 77. Otherwise the population data was all obtained using citi-data information.
Looking at the difference between the GISS data, which is again taken from the largest two cities, and comparing it with the USHCN homogenized averages, one gets:
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9Dw5NokB81S_y9ac79WLPVR63EvHQS3JwDqGFegtWfMWEh5avZc1wRqBqk-RgOhhPE9QajRV3OeHNw4grcuY3MC3S3FsAgQg0dJUrHB7dEtlMtnp4MrcZ1f3selDJ0TYfcPLGMeobmaU/s320/4.+OK+GISS+less+USHCN.png)
The average difference between the two is 0.65 degrees F. Looking at the trend in the state temperature, over the past 115 years,
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhdIWHZRGpOaGj-OhXNJosbCr8rRoH-sgEgqhHhbu5skpubyWWAjCOIQFso4xuDCXcZ1Ei4OS-e-kkx5N5jTR-Ziwv7fWkX23fmry2EtPhXtUMcVPCfj11SHidyNwGUlcNu83wVYPwYGe8/s320/5+OK+TOBS+temp+v+time.png)
The temperature rise for the state has averaged some 0.48 degrees F per century, whereas if the homogenized USHCN data is used, then the rise has been 0.94 degrees F per century.
Looking at the geography of the state, Oklahoma is 478 miles long (E-W) and 231 miles wide. It runs roughly from 94.5 deg W to 103 deg W, and from 33.5 to 37 degrees N. It rises from 88 m to 1,515 m above sea level, with an average elevation of 396.2 m. (The average USHCN station elevation is 415 m, and that of the GISS stations is 300.2 m).
Looking at the effect of geography on temperature for the state:
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi89wsWdhxkGIaeZuJ75ZvhLFPzH2HkJlTPU_j443UnGhQmOIXSiEddc1yxews1gr1ZRcoRrhlYkYe6SOCyxkCaoQCrPzY0MRyZ0TtS7Voe4o-dgeK5F4O9eOzUZQE5czNQOa8lCmKbZd4/s320/6+OK+TOBS+v+Lat.png)
The correlation with longitude is confounded by the rise in elevation as one moves west.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg05A-zEZPOW6mvFL8Ld1VrXB-mlg4xPnm6rwH9ctQJ82hyvo5DJN7O6SE_ysNhWxooT937ZniWd5B4QvPbgkQQdWKsXamwtxkoTi77MJNaG6o6P2lxdfe8xeNCUc0R_Trm7SM11w0K8AM/s320/7+OK+TOBS+v+long.png)
Thus the correlation with elevation is more important.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjxYbpZHuTT4GLaRogGAQjiZaBiPr2Awhh9HUCLaRiOFwPr4PgElv7c002b1MYLhMzLWBvSSJIl28k70y3dg3SgZ2HA2KZacSpPuzFvDsZjZp57QfwaWTlR5eZNb3UkVqhI3udlSJapOlE/s320/8+OK+TOBS+v+elev.png)
Turning to the effect of population, the data that I have is for most recent population and until now I have been plotting overall average temperature against this value, but more properly I should only be using more recent temperatures. Out of curiosity, therefore here is the plot using the overall average temperature relative to the station current population, and then the average of the last 30 years, temperatures used instead.
First here is plot using the overall average temp for each station.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhwtkXbQeFBx-Z9tyHhEsdkXQupnnnqnhvlHPZDrYzbfg2ENOAlQn-wEfsxjEAbRPpnNGIMPvdWIoAGbKj40jpcHYNldgCjPhVCpYSbTBUDZI-XxsXb2G4GR3J6mhnaHFi0IDPP5kkauHc/s320/9+OK+TOBS+v+pop%2528all%2529.png)
And then here is the plot using only the last 30-years of data for each station.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh9VJig01znnevslDZX9GY-x5povJOEdR8zwq4A0wNWpJ5LoqTRxumiRdfDtROW-N9qrxvgb570tAKaK0DC5hY4ihPMF6RK80qr_f6ZvTn_AqlqXn_C9Uf5XqUKBE8vPn3UPNoxvhKytcE/s320/10+OK+TOBS+30yr+v+pop.png)
Given that the population number used more accurately reflects the temperature over the period, it is perhaps no surprise that the correlation is better, and so I will use that time interval in the future posts on this theme. (And in time will go back and adjust the plots in the earlier posts – UPDATING the lead in to show that I have done so, as I do).
Oh, and finally, there is this:
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEisc09MPLw51a5rTx8qV1gT3iYRGmmRSeLLW5kwbIIkf0O_hqNk_fhV63PeONG4GIUwaOyqJgnYehtPvpVBQJ_Lf6MooPsbHMjV81dUMDAv0Z-rq9og4RFxLfeLWTn0tradUQT2Iwj3lMA/s320/11+OK+USHCN+-+TOBS.png)
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