% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 172281 % Primary Name: SOUTH FORK MONTANA % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.41110 +/- 0.00005 % Longitude: -107.66860 +/- 0.00005 % Elevation (m): 876.30 +/- 0.50 % # of Months: 120 % % IDs: ghcnd - USR0000MPRT % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 2ab2eececb6dbc7673fbc0f7a265f474 % Raw Data Hash: 2d30e3ce6bd8520da91c2b52dc560051 % Adj Data Hash: 7ce610284f1143bf5aab55176cb6d4c8 % % 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 1988 3 NaN NaN NaN NaN NaN NaN 1.970 2.772 1988 4 NaN NaN NaN NaN NaN NaN 8.263 2.052 1988 5 NaN NaN NaN NaN NaN NaN 15.924 3.473 1988 6 NaN NaN NaN NaN NaN NaN 23.402 6.093 1988 7 NaN NaN NaN NaN NaN NaN 23.077 1.586 1988 8 NaN NaN NaN NaN NaN NaN 21.359 0.840 1988 9 NaN NaN NaN NaN NaN NaN 13.845 -0.575 1988 10 NaN NaN NaN NaN NaN NaN 10.286 1.872 1988 11 NaN NaN NaN NaN NaN NaN 0.560 0.491 1988 12 NaN NaN NaN NaN NaN NaN -3.679 1.759 1989 1 NaN NaN NaN NaN NaN NaN -6.782 2.567 1989 2 NaN NaN NaN NaN NaN NaN -11.429 -6.437 1989 3 0.768 0.281 1 0 NaN NaN -3.067 -2.265 1989 4 6.877 -0.624 0 0 6.877 -0.624 6.175 -0.037 1989 5 12.702 -1.039 0 0 12.702 -1.039 12.256 -0.196 1989 6 18.262 -0.337 0 0 18.262 -0.337 16.661 -0.649 1989 7 24.484 1.703 0 0 24.484 1.703 23.418 1.927 1989 8 21.486 -0.322 0 0 21.486 -0.322 20.312 -0.206 1989 9 16.113 0.403 0 0 16.113 0.403 14.084 -0.337 1989 10 9.334 -0.369 0 0 9.334 -0.369 9.210 0.797 1989 11 2.628 1.270 0 0 2.628 1.270 1.698 1.629 1989 12 -5.369 -1.221 0 0 -5.369 -1.221 -6.607 -1.169 1990 1 -1.274 6.785 0 0 -1.274 6.785 -3.828 5.521 1990 2 -1.552 2.150 0 0 -1.552 2.150 -2.137 2.854 1990 3 3.397 2.909 0 0 3.397 2.909 1.760 2.562 1990 4 8.888 1.386 1 0 NaN NaN 6.906 0.695 1990 5 12.665 -1.076 0 0 12.665 -1.076 11.940 -0.511 1990 6 18.383 -0.216 0 0 18.383 -0.216 17.359 0.050 1990 7 21.665 -1.116 0 0 21.665 -1.116 21.127 -0.364 1990 8 23.182 1.374 0 0 23.182 1.374 21.948 1.429 1990 9 19.716 4.006 0 0 19.716 4.006 17.426 3.005 1990 10 9.214 -0.489 0 0 9.214 -0.489 9.275 0.862 1990 11 3.171 1.813 0 0 3.171 1.813 1.859 1.791 1990 12 -8.272 -4.125 0 0 -8.272 -4.125 -9.082 -3.644 1991 1 -8.039 0.021 0 0 -8.039 0.021 -10.344 -0.995 1991 2 3.855 7.557 0 0 3.855 7.557 3.720 8.712 1991 3 2.984 2.496 0 0 2.984 2.496 1.292 2.094 1991 4 7.278 -0.223 0 0 7.278 -0.223 6.579 0.367 1991 5 13.515 -0.226 0 0 13.515 -0.226 12.581 0.130 1991 6 18.567 -0.032 0 0 18.567 -0.032 17.164 -0.145 1991 7 22.911 0.131 0 0 22.911 0.131 21.654 0.164 1991 8 24.674 2.866 0 0 24.674 2.866 23.328 2.810 1991 9 16.189 0.478 0 0 16.189 0.478 14.882 0.462 1991 10 6.863 -2.840 0 0 6.863 -2.840 7.187 -1.226 1991 11 -0.223 -1.581 0 0 -0.223 -1.581 -1.451 -1.519 1991 12 0.797 4.945 0 0 0.797 4.945 -1.075 4.363 1992 1 2.100 10.160 0 0 2.100 10.160 -1.133 8.216 1992 2 2.433 6.135 0 0 2.433 6.135 2.150 7.142 1992 3 6.447 5.959 0 0 6.447 5.959 4.447 5.249 1992 4 9.305 1.804 0 0 9.305 1.804 7.990 1.779 1992 5 15.339 1.598 0 0 15.339 1.598 14.234 1.783 1992 6 19.617 1.018 0 0 19.617 1.018 17.993 0.684 1992 7 18.605 -4.176 0 0 18.605 -4.176 17.657 -3.834 1992 8 20.045 -1.763 0 0 20.045 -1.763 18.612 -1.906 1992 9 15.451 -0.259 0 0 15.451 -0.259 13.564 -0.856 1992 10 10.484 0.781 0 0 10.484 0.781 9.977 1.563 1992 11 1.952 0.594 0 0 1.952 0.594 0.656 0.587 1992 12 -6.771 -2.623 0 0 -6.771 -2.623 -8.304 -2.866 1993 1 -8.924 -0.865 0 0 -8.924 -0.865 -12.736 -3.387 1993 2 -6.922 -3.220 0 0 -6.922 -3.220 -8.443 -3.452 1993 3 4.657 4.169 1 0 NaN NaN 1.955 2.756 1993 4 9.359 1.858 0 0 9.359 1.858 7.524 1.312 1993 5 15.150 1.409 0 0 15.150 1.409 14.111 1.660 1993 6 16.833 -1.766 0 0 16.833 -1.766 15.443 -1.866 1993 7 16.819 -5.961 0 0 16.819 -5.961 16.682 -4.809 1993 8 18.521 -3.287 0 0 18.521 -3.287 17.920 -2.598 1993 9 13.848 -1.862 0 0 13.848 -1.862 12.297 -2.124 1993 10 9.102 -0.601 0 0 9.102 -0.601 8.998 0.585 1993 11 -1.059 -2.417 0 0 -1.059 -2.417 -2.354 -2.423 1993 12 0.097 4.245 0 0 0.097 4.245 -1.388 4.050 1994 1 -7.585 0.474 0 0 -7.585 0.474 -9.422 -0.073 1994 2 -8.577 -4.875 0 0 -8.577 -4.875 -9.549 -4.557 1994 3 5.216 4.728 0 0 5.216 4.728 3.339 4.141 1994 4 8.389 0.887 0 0 8.389 0.887 7.386 1.174 1994 5 15.360 1.619 0 0 15.360 1.619 14.376 1.925 1994 6 18.815 0.216 0 0 18.815 0.216 17.326 0.017 1994 7 22.782 0.002 0 0 22.782 0.002 21.515 0.025 1994 8 23.272 1.464 0 0 23.272 1.464 22.009 1.491 1994 9 18.775 3.065 0 0 18.775 3.065 16.704 2.283 1994 10 8.500 -1.203 0 0 8.500 -1.203 8.887 0.473 1994 11 0.817 -0.542 0 0 0.817 -0.542 -0.534 -0.602 1994 12 -1.727 2.421 0 0 -1.727 2.421 -3.334 2.104 1995 1 -2.293 5.766 0 0 -2.293 5.766 -5.431 3.918 1995 2 -0.893 2.809 0 0 -0.893 2.809 -0.632 4.360 1995 3 1.332 0.845 0 0 1.332 0.845 -0.737 0.065 1995 4 5.401 -2.100 0 0 5.401 -2.100 4.567 -1.645 1995 5 12.115 -1.626 0 0 12.115 -1.626 11.154 -1.297 1995 6 18.544 -0.055 0 0 18.544 -0.055 17.129 -0.180 1995 7 21.497 -1.284 0 0 21.497 -1.284 20.572 -0.919 1995 8 22.705 0.897 0 0 22.705 0.897 21.397 0.879 1995 9 16.168 0.458 0 0 16.168 0.458 14.307 -0.113 1995 10 8.106 -1.597 0 0 8.106 -1.597 8.553 0.139 1995 11 1.425 0.067 0 0 1.425 0.067 0.208 0.140 1995 12 -5.307 -1.159 0 0 -5.307 -1.159 -6.570 -1.132 1996 1 -11.977 -3.918 0 0 -11.977 -3.918 -14.229 -4.880 1996 2 -2.653 1.049 0 0 -2.653 1.049 -2.882 2.110 1996 3 -3.608 -4.096 0 0 -3.608 -4.096 -5.248 -4.446 1996 4 7.843 0.342 0 0 7.843 0.342 6.995 0.783 1996 5 10.177 -3.564 0 0 10.177 -3.564 9.896 -2.556 1996 6 19.842 1.243 0 0 19.842 1.243 18.353 1.044 1996 7 22.647 -0.134 0 0 22.647 -0.134 21.455 -0.036 1996 8 24.460 2.652 0 0 24.460 2.652 22.554 2.036 1996 9 14.615 -1.095 0 0 14.615 -1.095 13.309 -1.112 1996 10 8.519 -1.184 0 0 8.519 -1.184 8.469 0.055 1996 11 -5.054 -6.412 0 0 -5.054 -6.412 -6.261 -6.329 1996 12 -8.324 -4.176 0 0 -8.324 -4.176 -10.127 -4.690 1997 1 -9.023 -0.963 0 0 -9.023 -0.963 -11.873 -2.524 1997 2 0.048 3.750 0 0 0.048 3.750 -0.314 4.678 1997 3 2.421 1.933 0 0 2.421 1.933 0.781 1.583 1997 4 4.992 -2.509 0 0 4.992 -2.509 3.961 -2.250 1997 5 13.544 -0.197 0 0 13.544 -0.197 12.672 0.221 1997 6 20.265 1.666 0 0 20.265 1.666 18.875 1.566 1997 7 22.076 -0.705 0 0 22.076 -0.705 21.044 -0.446 1997 8 22.656 0.848 0 0 22.656 0.848 21.311 0.793 1997 9 18.927 3.216 0 0 18.927 3.216 16.941 2.520 1997 10 9.598 -0.105 0 0 9.598 -0.105 9.501 1.088 1997 11 2.478 1.120 0 0 2.478 1.120 0.655 0.587 1997 12 0.006 4.154 0 0 0.006 4.154 -1.478 3.960 1998 1 -5.965 2.095 0 0 -5.965 2.095 -8.939 0.410 1998 2 2.737 6.439 0 0 2.737 6.439 2.197 7.189 1998 3 0.073 -0.415 0 0 0.073 -0.415 -1.810 -1.008 1998 4 11.508 4.007 0 0 11.508 4.007 8.725 2.514 1998 5 15.763 2.022 0 0 15.763 2.022 14.067 1.616 1998 6 15.701 -2.897 0 0 15.701 -2.897 14.434 -2.876 1998 7 25.160 2.379 0 0 25.160 2.379 23.543 2.053 1998 8 24.911 3.103 0 0 24.911 3.103 23.313 2.795 1998 9 20.772 5.061 0 0 20.772 5.061 18.551 4.130 1998 10 10.316 0.613 0 0 10.316 0.613 10.097 1.683 1998 11 3.055 1.697 0 0 3.055 1.697 1.831 1.763 1998 12 -4.006 0.141 0 0 -4.006 0.141 -5.210 0.227 1999 1 -4.129 3.930 0 0 -4.129 3.930 -7.030 2.319 1999 2 3.600 7.302 1 0 NaN NaN 2.025 7.017 1999 3 NaN NaN NaN NaN NaN NaN 2.989 3.791 1999 4 NaN NaN NaN NaN NaN NaN 6.424 0.213 1999 5 NaN NaN NaN NaN NaN NaN 11.709 -0.743 1999 6 NaN NaN NaN NaN NaN NaN 16.118 -1.191 1999 7 NaN NaN NaN NaN NaN NaN 20.497 -0.994 1999 8 NaN NaN NaN NaN NaN NaN 22.166 1.647 1999 9 NaN NaN NaN NaN NaN NaN 12.290 -2.131 1999 10 NaN NaN NaN NaN NaN NaN 9.813 1.400 1999 11 NaN NaN NaN NaN NaN NaN 5.265 5.196 1999 12 NaN NaN NaN NaN NaN NaN 0.723 6.161 2000 1 NaN NaN NaN NaN NaN NaN -6.319 3.030 2000 2 NaN NaN NaN NaN NaN NaN -1.840 3.151