% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41676 % Primary Name: FORT KEOGH % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.38330 +/- 0.00005 % Longitude: -105.86670 +/- 0.00005 % Elevation (m): 724.20 +/- 0.15 % # of Months: 79 % % Alternate Names: Missing Station ID - 243148 % % IDs: coop - 243148 % ghcnd - USC00243148 % ncdc - 12003095 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 79c3cbf2ba6bea1f71bd87fecb9735d8 % Raw Data Hash: c25834a604882498fd4ca632933efe6b % Adj Data Hash: 0ea53278b8bb2d39116f94224d543220 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1892 2 NaN NaN NaN NaN NaN NaN -5.442 -0.463 1892 3 NaN NaN NaN NaN NaN NaN -0.639 0.045 1892 4 NaN NaN NaN NaN NaN NaN 4.195 -2.019 1892 5 NaN NaN NaN NaN NaN NaN 8.569 -3.923 1892 6 NaN NaN NaN NaN NaN NaN 15.545 -2.158 1892 7 NaN NaN NaN NaN NaN NaN 21.703 -0.236 1892 8 NaN NaN NaN NaN NaN NaN 20.611 -0.351 1892 9 NaN NaN NaN NaN NaN NaN 16.115 1.508 1892 10 NaN NaN NaN NaN NaN NaN 10.198 2.065 1892 11 NaN NaN NaN NaN NaN NaN -0.994 -0.700 1892 12 NaN NaN NaN NaN NaN NaN -8.983 -3.321 1893 1 NaN NaN NaN NaN NaN NaN -8.589 0.492 1893 2 -15.002 -10.174 0 0 -14.664 -9.836 -10.642 -5.663 1893 3 -5.826 -5.293 0 0 -5.488 -4.955 -4.736 -4.052 1893 4 3.962 -2.403 0 0 4.300 -2.065 3.422 -2.791 1893 5 12.040 -0.604 0 0 12.379 -0.266 11.439 -1.054 1893 6 18.247 0.393 0 0 18.585 0.731 17.934 0.231 1893 7 22.577 0.487 0 0 22.916 0.825 22.727 0.788 1893 8 21.956 0.843 0 0 22.295 1.181 21.169 0.206 1893 9 15.432 0.673 0 0 15.770 1.011 14.898 0.290 1893 10 5.947 -2.337 0 0 6.285 -1.999 7.193 -0.940 1893 11 -3.265 -3.123 0 0 -2.927 -2.784 -2.828 -2.534 1893 12 -7.003 -1.493 0 0 -6.665 -1.155 -5.455 0.206 1894 1 -13.861 -4.932 0 0 -13.523 -4.594 -12.134 -3.053 1894 2 -14.223 -9.395 0 0 -13.885 -9.057 -9.929 -4.950 1894 3 -3.585 -3.053 0 0 -3.247 -2.715 -2.801 -2.117 1894 4 9.275 2.910 0 0 9.613 3.248 7.934 1.720 1894 5 14.631 1.986 0 0 14.969 2.325 13.908 1.415 1894 6 20.207 2.353 0 0 20.545 2.691 18.856 1.153 1894 7 23.339 1.248 0 0 23.677 1.586 22.684 0.745 1894 8 23.503 2.389 0 0 23.842 2.728 22.277 1.315 1894 9 13.738 -1.020 0 0 14.077 -0.682 13.069 -1.538 1894 10 8.355 0.071 0 0 8.693 0.410 8.493 0.361 1894 11 NaN NaN NaN NaN NaN NaN 0.525 0.818 1894 12 NaN NaN NaN NaN NaN NaN -4.496 1.166 1895 1 -13.040 -4.111 0 0 -12.702 -3.773 -12.760 -3.680 1895 2 -12.230 -7.403 0 0 -11.892 -7.064 -9.096 -4.116 1895 3 0.016 0.549 0 0 0.354 0.887 -1.458 -0.774 1895 4 9.733 3.368 0 0 10.072 3.707 9.352 3.138 1895 5 12.381 -0.264 0 0 12.719 0.075 11.704 -0.789 1895 6 15.702 -2.152 0 0 16.040 -1.814 14.989 -2.714 1895 7 21.124 -0.967 0 0 21.462 -0.628 20.718 -1.222 1895 8 21.097 -0.017 0 0 21.435 0.321 20.149 -0.814 1895 9 13.722 -1.037 0 0 14.060 -0.699 13.770 -0.837 1895 10 7.231 -1.053 0 0 7.569 -0.715 8.243 0.111 1895 11 -2.272 -2.129 0 0 -1.933 -1.791 -2.524 -2.231 1895 12 -4.915 0.595 1 0 NaN NaN -5.289 0.372 1896 1 -9.653 -0.724 0 0 -9.315 -0.386 -9.002 0.078 1896 2 NaN NaN NaN NaN NaN NaN -1.231 3.749 1896 3 -3.408 -2.875 0 0 -3.070 -2.537 -4.477 -3.793 1896 4 6.555 0.190 0 0 6.893 0.528 5.846 -0.367 1896 5 12.402 -0.243 0 0 12.740 0.096 12.439 -0.054 1896 6 20.343 2.489 0 4 20.039 2.185 18.693 0.990 1896 7 22.750 0.659 0 0 22.446 0.355 21.795 -0.145 1896 8 21.213 0.099 0 0 20.908 -0.205 20.510 -0.453 1896 9 13.182 -1.577 0 0 12.877 -1.881 11.880 -2.727 1896 10 7.474 -0.809 0 0 7.170 -1.114 7.471 -0.661 1896 11 -11.433 -11.291 0 0 -11.738 -11.595 -9.265 -8.971 1896 12 -1.560 3.951 0 0 -1.864 3.646 -1.005 4.657 1897 1 -9.148 -0.219 0 0 -9.453 -0.523 -9.849 -0.768 1897 2 -8.795 -3.967 0 0 -9.099 -4.271 -6.743 -1.764 1897 3 -9.610 -9.077 0 0 -9.914 -9.381 -6.961 -6.277 1897 4 8.117 1.752 0 0 7.812 1.447 6.486 0.272 1897 5 17.542 4.898 0 0 17.237 4.593 15.318 2.825 1897 6 19.613 1.759 0 0 19.309 1.455 17.113 -0.590 1897 7 22.844 0.753 0 0 22.539 0.448 21.478 -0.461 1897 8 20.815 -0.299 0 0 20.510 -0.604 20.507 -0.456 1897 9 18.402 3.643 0 0 18.097 3.339 17.603 2.996 1897 10 8.706 0.423 0 0 8.402 0.118 9.092 0.960 1897 11 -3.642 -3.499 0 0 -3.946 -3.804 -4.186 -3.892 1897 12 -8.802 -3.291 0 0 -9.106 -3.596 -7.135 -1.473 1898 1 -6.829 2.100 0 0 -7.133 1.796 -7.872 1.208 1898 2 -3.543 1.285 0 0 -3.847 0.981 -2.142 2.837 1898 3 -4.805 -4.272 0 0 -5.109 -4.577 -5.641 -4.957 1898 4 7.924 1.559 1 0 NaN NaN 6.132 -0.082 1898 5 13.374 0.730 0 0 13.070 0.425 10.931 -1.562 1898 6 18.788 0.934 0 0 18.484 0.630 17.022 -0.681 1898 7 22.621 0.530 0 0 22.317 0.226 21.328 -0.611 1898 8 23.210 2.096 0 0 22.905 1.791 22.028 1.066 1898 9 15.418 0.660 0 0 15.114 0.355 13.923 -0.684 1898 10 NaN NaN NaN NaN NaN NaN 5.503 -2.630 1898 11 -2.418 -2.276 0 0 -2.723 -2.580 -2.978 -2.684 1898 12 -8.018 -2.508 0 0 -8.322 -2.812 -6.955 -1.294 1899 1 -8.184 0.746 0 0 -8.488 0.441 -9.363 -0.282 1899 2 -17.289 -12.461 0 0 -17.594 -12.766 -14.015 -9.036 1899 3 -10.011 -9.479 0 0 -10.316 -9.783 -8.780 -8.096 1899 4 4.318 -2.047 0 0 4.014 -2.351 4.131 -2.083 1899 5 11.521 -1.123 0 0 11.217 -1.428 10.256 -2.237 1899 6 17.455 -0.399 0 0 17.151 -0.704 15.676 -2.026 1899 7 21.873 -0.218 0 0 21.568 -0.523 20.808 -1.131 1899 8 21.116 0.002 0 0 20.812 -0.302 19.804 -1.158 1899 9 16.132 1.374 1 0 NaN NaN 15.048 0.441 1899 10 6.552 -1.732 0 0 6.247 -2.036 6.967 -1.166 1899 11 4.625 4.767 0 0 4.321 4.463 3.743 4.037 1899 12 -5.577 -0.066 0 0 -5.881 -0.371 -6.539 -0.877 1900 1 NaN NaN NaN NaN NaN NaN -4.051 5.030 1900 2 NaN NaN NaN NaN NaN NaN -7.420 -2.441 1900 3 NaN NaN NaN NaN NaN NaN -0.676 0.008 1900 4 NaN NaN NaN NaN NaN NaN 9.081 2.868 1900 5 NaN NaN NaN NaN NaN NaN 15.838 3.345 1900 6 NaN NaN NaN NaN NaN NaN 20.732 3.029 1900 7 NaN NaN NaN NaN NaN NaN 21.630 -0.310 1900 8 NaN NaN NaN NaN NaN NaN 21.030 0.068 1900 9 NaN NaN NaN NaN NaN NaN 13.034 -1.573 1900 10 NaN NaN NaN NaN NaN NaN 9.965 1.833 1900 11 NaN NaN NaN NaN NaN NaN -2.602 -2.309 1900 12 NaN NaN NaN NaN NaN NaN -1.856 3.805