% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 172239 % Primary Name: SETH MONTANA % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.60830 +/- 0.00005 % Longitude: -111.96580 +/- 0.00005 % Elevation (m): 1897.40 +/- 0.50 % # of Months: 81 % % IDs: ghcnd - USR0000MSET % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 7972626f465d9d06a8d3662b21cc0c57 % Raw Data Hash: 3680d13c2eaee4f8fb3f544c5d94b058 % Adj Data Hash: 6cb1a76d4649c422385f474520d67b45 % % 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 1990 10 NaN NaN NaN NaN NaN NaN 5.853 0.566 1990 11 NaN NaN NaN NaN NaN NaN 0.121 2.122 1990 12 NaN NaN NaN NaN NaN NaN -11.572 -5.564 1991 1 NaN NaN NaN NaN NaN NaN -8.138 0.148 1991 2 NaN NaN NaN NaN NaN NaN 1.518 6.156 1991 3 NaN NaN NaN NaN NaN NaN -2.245 0.184 1991 4 NaN NaN NaN NaN NaN NaN 2.252 -0.729 1991 5 NaN NaN NaN NaN NaN NaN 7.509 -0.887 1991 6 NaN NaN NaN NaN NaN NaN 11.514 -1.259 1991 7 NaN NaN NaN NaN NaN NaN 18.198 1.122 1991 8 NaN NaN NaN NaN NaN NaN 18.668 2.594 1991 9 NaN NaN NaN NaN NaN NaN 11.659 0.822 1991 10 -9.936 -15.212 1 0 NaN NaN 5.138 -0.148 1991 11 -3.105 -1.094 0 0 -3.105 -1.094 -3.945 -1.944 1991 12 -2.465 3.553 0 0 -2.465 3.553 -4.084 1.923 1992 1 -2.348 5.948 0 0 -2.348 5.948 -4.910 3.376 1992 2 1.374 6.022 0 0 1.374 6.022 0.678 5.316 1992 3 3.766 6.205 0 0 3.766 6.205 2.422 4.850 1992 4 4.878 1.907 0 0 4.878 1.907 5.439 2.457 1992 5 9.769 1.383 0 0 9.769 1.383 10.951 2.554 1992 6 13.710 0.948 0 0 13.710 0.948 13.611 0.839 1992 7 13.171 -3.894 0 0 13.171 -3.894 14.681 -2.395 1992 8 14.752 -1.312 0 0 14.752 -1.312 15.390 -0.683 1992 9 10.128 -0.698 0 0 10.128 -0.698 10.588 -0.249 1992 10 6.261 0.985 0 0 6.261 0.985 7.343 2.056 1992 11 -2.967 -0.955 0 0 -2.967 -0.955 -3.341 -1.340 1992 12 -8.221 -2.203 0 0 -8.221 -2.203 -9.483 -3.476 1993 1 -7.752 0.545 0 0 -7.752 0.545 -10.417 -2.130 1993 2 -6.982 -2.334 0 0 -6.982 -2.334 -8.053 -3.415 1993 3 1.485 3.924 1 0 NaN NaN -0.269 2.159 1993 4 NaN NaN NaN NaN NaN NaN 2.957 -0.024 1993 5 10.142 1.755 0 0 10.142 1.755 10.683 2.286 1993 6 9.770 -2.992 0 0 9.770 -2.992 10.555 -2.217 1993 7 10.213 -6.853 1 0 NaN NaN 12.122 -4.953 1993 8 12.650 -3.413 0 0 12.650 -3.413 13.224 -2.850 1993 9 9.430 -1.397 0 0 9.430 -1.397 9.619 -1.218 1993 10 5.526 0.250 0 0 5.526 0.250 5.877 0.591 1993 11 -4.703 -2.692 0 0 -4.703 -2.692 -5.047 -3.046 1993 12 -3.335 2.683 0 0 -3.335 2.683 -4.212 1.796 1994 1 -1.598 6.698 0 0 -1.598 6.698 -3.051 5.236 1994 2 -5.873 -1.225 0 0 -5.873 -1.225 -5.558 -0.920 1994 3 1.350 3.789 0 0 1.350 3.789 0.255 2.683 1994 4 4.053 1.082 0 0 4.053 1.082 4.271 1.289 1994 5 8.892 0.505 0 0 8.892 0.505 10.416 2.019 1994 6 11.873 -0.889 0 0 11.873 -0.889 12.658 -0.114 1994 7 16.748 -0.317 0 0 16.748 -0.317 17.152 0.076 1994 8 17.744 1.680 0 0 17.744 1.680 17.795 1.721 1994 9 14.117 3.290 0 0 14.117 3.290 13.128 2.291 1994 10 3.485 -1.790 0 0 3.485 -1.790 4.792 -0.495 1994 11 -4.260 -2.249 0 0 -4.260 -2.249 -4.840 -2.838 1994 12 -4.184 1.834 0 0 -4.184 1.834 -5.228 0.779 1995 1 -2.445 5.852 0 0 -2.445 5.852 -6.581 1.706 1995 2 -2.652 1.996 0 0 -2.652 1.996 -1.180 3.458 1995 3 -1.161 1.277 0 0 -1.161 1.277 -2.655 -0.226 1995 4 1.633 -1.338 0 0 1.633 -1.338 2.011 -0.970 1995 5 6.777 -1.610 0 0 6.777 -1.610 7.281 -1.116 1995 6 10.430 -2.332 0 0 10.430 -2.332 10.955 -1.817 1995 7 14.797 -2.269 0 0 14.797 -2.269 16.557 -0.519 1995 8 14.992 -1.071 0 0 14.992 -1.071 16.149 0.075 1995 9 10.710 -0.117 0 0 10.710 -0.117 10.668 -0.169 1995 10 2.339 -2.937 0 0 2.339 -2.937 4.456 -0.830 1995 11 -0.072 1.940 0 0 -0.072 1.940 0.283 2.284 1995 12 -5.029 0.989 0 0 -5.029 0.989 -4.910 1.098 1996 1 -8.387 -0.090 0 0 -8.387 -0.090 -9.398 -1.111 1996 2 -5.191 -0.543 0 0 -5.191 -0.543 -4.500 0.138 1996 3 -3.547 -1.108 0 0 -3.547 -1.108 -4.427 -1.998 1996 4 3.662 0.691 0 0 3.662 0.691 3.905 0.923 1996 5 4.581 -3.806 0 0 4.581 -3.806 6.278 -2.119 1996 6 12.195 -0.567 0 0 12.195 -0.567 13.283 0.510 1996 7 16.903 -0.162 0 0 16.903 -0.162 18.142 1.066 1996 8 16.510 0.446 0 0 16.510 0.446 16.966 0.892 1996 9 9.507 -1.320 0 0 9.507 -1.320 9.814 -1.023 1996 10 3.840 -1.436 0 0 3.840 -1.436 5.287 0.000 1996 11 -2.090 -0.079 0 0 -2.090 -0.079 -3.252 -1.251 1996 12 -7.500 -1.482 1 0 NaN NaN -6.603 -0.595 1997 1 NaN NaN NaN NaN NaN NaN -8.387 -0.101 1997 2 NaN NaN NaN NaN NaN NaN -3.577 1.061 1997 3 NaN NaN NaN NaN NaN NaN -0.860 1.568 1997 4 NaN NaN NaN NaN NaN NaN 0.437 -2.544 1997 5 NaN NaN NaN NaN NaN NaN 9.626 1.229 1997 6 NaN NaN NaN NaN NaN NaN 12.569 -0.203 1997 7 16.126 -0.939 1 0 NaN NaN 16.307 -0.769 1997 8 15.285 -0.778 0 0 15.285 -0.778 15.916 -0.158 1997 9 12.050 1.223 0 0 12.050 1.223 12.194 1.357 1997 10 3.492 -1.784 0 0 3.492 -1.784 5.391 0.105 1997 11 -0.908 1.103 0 0 -0.908 1.103 -1.800 0.201 1997 12 -3.976 2.042 0 0 -3.976 2.042 -6.028 -0.021 1998 1 -4.815 3.482 0 0 -4.815 3.482 -6.419 1.867 1998 2 -1.512 3.136 0 0 -1.512 3.136 -2.343 2.295 1998 3 -0.810 1.629 0 0 -0.810 1.629 -2.352 0.076 1998 4 4.180 1.209 0 0 4.180 1.209 3.744 0.762 1998 5 8.350 -0.037 0 0 8.350 -0.037 9.392 0.995 1998 6 8.478 -4.284 0 0 8.478 -4.284 9.316 -3.456 1998 7 18.052 0.986 0 0 18.052 0.986 18.852 1.777 1998 8 17.755 1.692 0 0 17.755 1.692 17.728 1.654 1998 9 14.648 3.822 0 0 14.648 3.822 13.920 3.083 1998 10 5.008 -0.268 0 0 5.008 -0.268 5.812 0.526 1998 11 -1.642 0.370 0 0 -1.642 0.370 -0.101 1.900 1998 12 -7.371 -1.353 0 0 -7.371 -1.353 -6.572 -0.564 1999 1 -4.200 4.097 1 0 NaN NaN -4.576 3.710 1999 2 NaN NaN NaN NaN NaN NaN -1.730 2.908 1999 3 NaN NaN NaN NaN NaN NaN -0.973 1.456 1999 4 NaN NaN NaN NaN NaN NaN 1.874 -1.107 1999 5 NaN NaN NaN NaN NaN NaN 7.406 -0.991 1999 6 NaN NaN NaN NaN NaN NaN 11.182 -1.591 1999 7 NaN NaN NaN NaN NaN NaN 16.610 -0.466 1999 8 NaN NaN NaN NaN NaN NaN 17.268 1.195 1999 9 NaN NaN NaN NaN NaN NaN 9.430 -1.407 1999 10 NaN NaN NaN NaN NaN NaN 7.528 2.241 1999 11 NaN NaN NaN NaN NaN NaN 3.044 5.045 1999 12 NaN NaN NaN NaN NaN NaN -3.561 2.447 2000 1 NaN NaN NaN NaN NaN NaN -5.495 2.792