Yesterday I did a post about old USHCN changing from month to month.
So I thought why compare data sets from one day to the next. Certainly they can’t be changing old data every day … could they?
So I compared the June 21 2014 TAvg Final dataset (ushcn.tavg.latest.FLs.52i.tar.gz) from here to the same file from June 22 2014
And just to keep it manageable. I compared only the data from Jan 1998.
And here we are … the data even for 1998 changes from day to day.
Consider the “SANDPOINT EXP STN” station. On June 21 the monthly average temperature for Jan 1998 was -1.33C. On June 22 2014 it was -0.89C for an increase in temperature of .44C.
These are all the records where the temperature changed or the Error Flag changed.
11 got warmer. 4 got colder. And even the non-Estimated data changes. OMG. How can you actually analyze the data if the past temperature changes every day.
| Year | STATE | NAME | Station | LATITUDE | LONGITUDE | ELEVATION | Month | DATA1 | E1 | Version1 | DATA2 | E2 | Version2 | dif |
| 1998 | FL | ARCADIA | USH00080228 | 27.2181 | -81.8739 | 9.1 | 1 | 17.61 | E | v2.5.0.20140621 | 17.63 | E | v2.5.0.20140622 | 0.02 |
| 1998 | ID | PRIEST RIVER EXP STN | USH00107386 | 48.3514 | -116.8358 | 725.4 | 1 | -2.77 | v2.5.0.20140621 | -2.78 | v2.5.0.20140622 | -0.01 | ||
| 1998 | ID | SANDPOINT EXP STN | USH00108137 | 48.2928 | -116.5578 | 640.1 | 1 | -1.33 | a | v2.5.0.20140621 | -0.89 | a | v2.5.0.20140622 | 0.44 |
| 1998 | MI | NEWBERRY 3S | USH00205816 | 46.3133 | -85.5106 | 259.1 | 1 | -9 | v2.5.0.20140621 | -8.86 | v2.5.0.20140622 | 0.14 | ||
| 1998 | NC | ELIZABETH CITY | USH00312719 | 36.3097 | -76.205 | 2.4 | 1 | 7.93 | a | v2.5.0.20140621 | 7.94 | a | v2.5.0.20140622 | 0.01 |
| 1998 | NY | SARATOGA SPRINGS 4 SW | USH00307484 | 43.0331 | -73.8167 | 94.5 | 1 | -3.19 | v2.5.0.20140621 | -3.17 | v2.5.0.20140622 | 0.02 | ||
| 1998 | TN | CROSSVILLE ED & RESEARCH | USH00402202 | 36.0147 | -85.1311 | 551.7 | 1 | 5.14 | a | v2.5.0.20140621 | 5.17 | a | v2.5.0.20140622 | 0.03 |
| 1998 | VA | BREMO BLUFF | USH00440993 | 37.7092 | -78.2886 | 68.6 | 1 | 6.25 | d | v2.5.0.20140621 | 6.24 | d | v2.5.0.20140622 | -0.01 |
| 1998 | VA | FARMVILLE 2 N | USH00442941 | 37.3264 | -78.3864 | 137.2 | 1 | 4.94 | a | v2.5.0.20140621 | 4.93 | a | v2.5.0.20140622 | -0.01 |
| 1998 | VA | HOPEWELL | USH00444101 | 37.2992 | -77.2772 | 12.2 | 1 | 7.27 | b | v2.5.0.20140621 | 7.29 | b | v2.5.0.20140622 | 0.02 |
| 1998 | VA | NORFOLK INTL AP | USH00446139 | 36.9033 | -76.1922 | 9.1 | 1 | 8.18 | v2.5.0.20140621 | 8.33 | v2.5.0.20140622 | 0.15 | ||
| 1998 | VA | WILLIAMSBURG 2 N | USH00449151 | 37.3017 | -76.7039 | 21.3 | 1 | 6.96 | a | v2.5.0.20140621 | 6.98 | a | v2.5.0.20140622 | 0.02 |
| 1998 | WA | NORTHPORT | USH00455946 | 48.9114 | -117.8069 | 423.7 | 1 | -2.13 | v2.5.0.20140621 | -2.14 | v2.5.0.20140622 | -0.01 | ||
| 1998 | WI | MANITOWOC | USH00475017 | 44.0869 | -87.6522 | 178 | 1 | -4.12 | E | v2.5.0.20140621 | -4.11 | E | v2.5.0.20140622 | 0.01 |
| 1998 | WI | WATERTOWN | USH00478919 | 43.1742 | -88.7364 | 251.5 | 1 | -3.94 | v2.5.0.20140621 | -3.93 | v2.5.0.20140622 | 0.01 |
sunshine hours 
I think I’ll do my company books this way, gear all figures on the spreadsheet to a ‘master’ adjustment figure that I can tweak when it comes tax time.
Think that would work? I could adjust sales prices, and down the line this will affect ‘company profit’ by adjusting just that one number. If tax liability looks to be coming in too high I’ll just adjust the sales prices down while retaining fixed costs. Viola! Lowered profits “on the books”!
🙂