% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41450 % Primary Name: HERCULES RANCH % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.03330 +/- 0.00005 % Longitude: -105.35000 +/- 0.00005 % Elevation (m): 807.72 +/- 0.15 % # of Months: 84 % % Alternate Names: Missing Station ID - 244078 % % IDs: coop - 244078 % ghcnd - USC00244078 % ncdc - 12003112 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 15539acb9ae20b2f71eac732db464338 % Raw Data Hash: 9d62907897e39d519b83c8852f1fd9e7 % Adj Data Hash: 18ff300d4d75fbced65f4551a1409514 % % 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 1914 12 NaN NaN NaN NaN NaN NaN -10.075 -4.414 1915 1 NaN NaN NaN NaN NaN NaN -9.606 -0.526 1915 2 NaN NaN NaN NaN NaN NaN -3.835 1.144 1915 3 NaN NaN NaN NaN NaN NaN -3.914 -3.230 1915 4 NaN NaN NaN NaN NaN NaN 11.158 4.945 1915 5 NaN NaN NaN NaN NaN NaN 10.578 -1.915 1915 6 NaN NaN NaN NaN NaN NaN 13.631 -4.072 1915 7 NaN NaN NaN NaN NaN NaN 17.364 -4.576 1915 8 NaN NaN NaN NaN NaN NaN 19.254 -1.708 1915 9 NaN NaN NaN NaN NaN NaN 11.772 -2.835 1915 10 NaN NaN NaN NaN NaN NaN 10.327 2.195 1915 11 NaN NaN NaN NaN NaN NaN 0.288 0.582 1915 12 -3.860 1.953 1 0 NaN NaN -4.273 1.388 1916 1 -20.653 -11.421 0 0 -21.024 -11.792 -19.425 -10.344 1916 2 -6.253 -1.123 1 0 NaN NaN -5.919 -0.940 1916 3 3.738 4.573 0 0 3.366 4.201 1.036 1.720 1916 4 6.841 0.778 0 0 6.469 0.407 5.882 -0.332 1916 5 10.135 -2.206 0 0 9.764 -2.578 10.099 -2.394 1916 6 16.655 -0.897 0 0 16.283 -1.268 14.743 -2.960 1916 7 NaN NaN NaN NaN NaN NaN 23.174 1.235 1916 8 20.863 0.052 0 0 20.492 -0.320 19.839 -1.123 1916 9 15.503 1.047 1 0 NaN NaN 13.277 -1.330 1916 10 NaN NaN NaN NaN NaN NaN 6.260 -1.872 1916 11 NaN NaN NaN NaN NaN NaN -0.288 0.006 1916 12 -14.350 -8.537 1 0 NaN NaN -12.152 -6.490 1917 1 -10.141 -0.910 0 0 -10.513 -1.281 -10.673 -1.592 1917 2 -11.998 -6.868 1 0 NaN NaN -10.140 -5.160 1917 3 -6.238 -5.403 0 0 -6.609 -5.774 -5.598 -4.914 1917 4 5.043 -1.019 0 0 4.671 -1.391 3.859 -2.355 1917 5 10.136 -2.206 0 0 9.764 -2.578 10.014 -2.479 1917 6 15.518 -2.033 0 0 15.147 -2.405 15.009 -2.694 1917 7 23.603 1.815 0 0 23.232 1.443 23.787 1.847 1917 8 NaN NaN NaN NaN NaN NaN 19.642 -1.320 1917 9 15.677 1.221 0 0 15.305 0.849 14.456 -0.151 1917 10 5.985 -1.996 0 0 5.614 -2.367 6.076 -2.056 1917 11 4.382 4.826 0 0 4.010 4.455 4.878 5.172 1917 12 -10.115 -4.302 0 0 -10.486 -4.673 -9.972 -4.310 1918 1 NaN NaN NaN NaN NaN NaN -12.939 -3.858 1918 2 -7.471 -2.341 0 0 -7.843 -2.713 -6.382 -1.403 1918 3 NaN NaN NaN NaN NaN NaN 3.241 3.925 1918 4 5.240 -0.822 0 0 4.868 -1.194 4.432 -1.782 1918 5 11.482 -0.860 0 0 11.111 -1.231 11.781 -0.712 1918 6 20.617 3.065 0 0 20.245 2.693 19.842 2.139 1918 7 21.657 -0.131 0 0 21.286 -0.503 20.671 -1.268 1918 8 19.787 -1.024 0 0 19.416 -1.396 20.119 -0.844 1918 9 11.902 -2.554 0 0 11.530 -2.926 12.621 -1.986 1918 10 10.013 2.031 0 0 9.641 1.660 10.462 2.330 1918 11 -2.177 -1.732 0 0 -2.548 -2.103 -1.771 -1.477 1918 12 -2.273 3.540 0 0 -2.644 3.169 -2.850 2.812 1919 1 -2.510 6.722 0 0 -2.881 6.351 -2.713 6.368 1919 2 -6.618 -1.488 1 0 NaN NaN -6.492 -1.513 1919 3 -2.403 -1.568 0 0 -2.775 -1.940 -2.713 -2.029 1919 4 7.998 1.936 0 0 7.627 1.564 6.981 0.768 1919 5 12.787 0.445 0 0 12.416 0.074 13.366 0.873 1919 6 20.132 2.581 0 0 19.761 2.209 20.751 3.048 1919 7 NaN NaN NaN NaN NaN NaN 23.790 1.851 1919 8 21.627 0.816 1 0 NaN NaN 21.667 0.705 1919 9 17.162 2.706 0 0 16.790 2.334 15.533 0.926 1919 10 1.884 -6.097 0 0 1.512 -6.469 2.323 -5.809 1919 11 NaN NaN NaN NaN NaN NaN -5.572 -5.279 1919 12 NaN NaN NaN NaN NaN NaN -9.057 -3.395 1920 1 NaN NaN NaN NaN NaN NaN -8.148 0.932 1920 2 NaN NaN NaN NaN NaN NaN -3.937 1.042 1920 3 NaN NaN NaN NaN NaN NaN -2.350 -1.666 1920 4 NaN NaN NaN NaN NaN NaN 1.536 -4.678 1920 5 12.581 0.239 0 0 12.209 -0.133 11.907 -0.585 1920 6 17.323 -0.229 0 0 16.951 -0.600 16.466 -1.237 1920 7 22.608 0.820 0 0 22.236 0.448 22.007 0.067 1920 8 21.917 1.106 0 0 21.546 0.735 21.515 0.552 1920 9 14.578 0.122 0 0 14.207 -0.249 14.700 0.093 1920 10 8.818 0.837 0 0 8.446 0.465 9.744 1.612 1920 11 NaN NaN NaN NaN NaN NaN -1.607 -1.313 1920 12 -5.177 0.636 0 0 -5.548 0.264 -5.152 0.510 1921 1 -3.223 6.009 0 0 -3.594 5.638 -3.862 5.219 1921 2 -1.768 3.362 0 0 -2.139 2.991 -0.215 4.764 1921 3 1.511 2.346 0 0 1.140 1.975 0.563 1.247 1921 4 6.370 0.308 0 0 5.998 -0.064 5.947 -0.266 1921 5 11.911 -0.431 0 0 11.540 -0.802 11.783 -0.710 1921 6 NaN NaN NaN NaN NaN NaN 20.361 2.658 1921 7 22.863 1.075 0 0 22.492 0.703 22.753 0.814 1921 8 20.586 -0.225 0 4 21.219 0.408 21.652 0.689 1921 9 12.719 -1.737 0 0 13.352 -1.104 13.071 -1.536 1921 10 7.815 -0.166 1 0 NaN NaN 10.563 2.431 1921 11 -2.578 -2.133 0 0 -1.945 -1.500 -1.987 -1.693 1921 12 -5.943 -0.131 0 0 -5.310 0.502 -5.707 -0.046 1922 1 -13.488 -4.256 1 0 NaN NaN -11.632 -2.551 1922 2 NaN NaN NaN NaN NaN NaN -12.924 -7.945 1922 3 -3.260 -2.425 0 0 -2.627 -1.792 -2.480 -1.796 1922 4 4.995 -1.067 0 0 5.628 -0.434 5.521 -0.693 1922 5 11.158 -1.184 0 0 11.791 -0.551 12.017 -0.476 1922 6 18.253 0.702 0 0 18.886 1.335 18.511 0.808 1922 7 18.874 -2.914 0 0 19.507 -2.281 19.973 -1.966 1922 8 21.534 0.723 0 0 22.167 1.356 22.428 1.466 1922 9 15.773 1.316 0 0 16.406 1.950 16.535 1.928 1922 10 8.452 0.471 0 0 9.085 1.104 10.130 1.997 1922 11 0.108 0.553 0 0 0.741 1.186 0.242 0.535 1922 12 -9.800 -3.987 0 0 -9.167 -3.354 -8.756 -3.094 1923 1 -4.663 4.568 1 0 NaN NaN -5.056 4.025 1923 2 -9.330 -4.200 0 0 -8.697 -3.567 -8.136 -3.157 1923 3 -1.702 -0.867 0 0 -1.069 -0.233 -1.964 -1.280 1923 4 4.778 -1.284 0 0 5.411 -0.651 5.399 -0.815 1923 5 10.889 -1.453 0 0 11.522 -0.820 12.602 0.109 1923 6 17.452 -0.100 0 0 18.085 0.533 17.903 0.200 1923 7 22.765 0.976 0 0 23.398 1.609 23.623 1.683 1923 8 18.277 -2.534 0 0 18.910 -1.901 19.199 -1.763 1923 9 14.905 0.449 0 0 15.538 1.082 15.035 0.428 1923 10 6.282 -1.699 0 0 6.915 -1.066 7.374 -0.759 1923 11 2.500 2.945 0 0 3.133 3.578 3.573 3.867 1923 12 -4.971 0.842 0 0 -4.338 1.475 -3.154 2.507 1924 1 -13.910 -4.679 0 0 -13.277 -4.045 -12.218 -3.137 1924 2 -2.653 2.477 1 0 NaN NaN -1.165 3.814 1924 3 -4.551 -3.716 0 0 -3.918 -3.083 -4.151 -3.467 1924 4 NaN NaN NaN NaN NaN NaN 5.138 -1.075 1924 5 NaN NaN NaN NaN NaN NaN 10.008 -2.485 1924 6 NaN NaN NaN NaN NaN NaN 14.813 -2.889 1924 7 NaN NaN NaN NaN NaN NaN 20.178 -1.761 1924 8 NaN NaN NaN NaN NaN NaN 19.008 -1.955 1924 9 NaN NaN NaN NaN NaN NaN 13.307 -1.301 1924 10 NaN NaN NaN NaN NaN NaN 10.733 2.601 1924 11 NaN NaN NaN NaN NaN NaN 0.746 1.040 1924 12 NaN NaN NaN NaN NaN NaN -11.021 -5.359 1925 1 NaN NaN NaN NaN NaN NaN -8.231 0.850 1925 2 NaN NaN NaN NaN NaN NaN -1.156 3.823 1925 3 NaN NaN NaN NaN NaN NaN 0.917 1.601