% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41723 % Primary Name: GLENWOOD % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.46670 +/- 0.00005 % Longitude: -111.53330 +/- 0.00005 % Elevation (m): 1158.24 +/- 0.15 % # of Months: 49 % % Alternate Names: Missing Station ID - 243603 % % IDs: coop - 243603 % ghcnd - USC00243603 % ncdc - 12003105 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 422c5a86910790133e81e849a1372469 % Raw Data Hash: c2ce4167ace85d6673a335c3a0db0fb6 % Adj Data Hash: 640b0f122182ebfaaf7cdcdb75e7b287 % % 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 1896 8 NaN NaN NaN NaN NaN NaN 15.366 -0.708 1896 9 NaN NaN NaN NaN NaN NaN 8.437 -2.400 1896 10 NaN NaN NaN NaN NaN NaN 6.334 1.048 1896 11 NaN NaN NaN NaN NaN NaN -7.676 -5.675 1896 12 NaN NaN NaN NaN NaN NaN -1.153 4.855 1897 1 NaN NaN NaN NaN NaN NaN -9.466 -1.180 1897 2 NaN NaN NaN NaN NaN NaN -5.526 -0.888 1897 3 NaN NaN NaN NaN NaN NaN -8.163 -5.735 1897 4 NaN NaN NaN NaN NaN NaN 3.681 0.699 1897 5 NaN NaN NaN NaN NaN NaN 12.703 4.306 1897 6 NaN NaN NaN NaN NaN NaN 11.893 -0.879 1897 7 NaN NaN NaN NaN NaN NaN 15.323 -1.752 1897 8 19.737 2.363 0 0 19.737 2.363 17.405 1.331 1897 9 13.075 0.938 0 0 13.075 0.938 11.719 0.881 1897 10 5.985 -0.601 0 0 5.985 -0.601 5.801 0.514 1897 11 -3.527 -2.826 0 0 -3.527 -2.826 -3.746 -1.745 1897 12 -6.003 -1.296 0 0 -6.003 -1.296 -6.974 -0.966 1898 1 -6.173 0.814 0 0 -6.173 0.814 -9.146 -0.860 1898 2 -0.520 2.818 0 0 -0.520 2.818 -1.410 3.228 1898 3 -4.400 -3.272 0 0 -4.400 -3.272 -7.167 -4.739 1898 4 6.318 2.037 0 0 6.318 2.037 4.114 1.133 1898 5 9.034 -0.663 0 0 9.034 -0.663 7.337 -1.060 1898 6 14.045 -0.027 0 0 14.045 -0.027 11.746 -1.027 1898 7 17.640 -0.736 0 0 17.640 -0.736 16.181 -0.895 1898 8 18.369 0.996 0 0 18.369 0.996 17.672 1.598 1898 9 11.480 -0.657 0 0 11.480 -0.657 9.977 -0.860 1898 10 3.782 -2.804 0 0 3.782 -2.804 3.142 -2.144 1898 11 -2.212 -1.511 0 0 -2.212 -1.511 -4.035 -2.034 1898 12 -7.790 -3.083 0 0 -7.790 -3.083 -8.101 -2.094 1899 1 -7.019 -0.033 0 0 -7.019 -0.033 -7.946 0.340 1899 2 -12.302 -8.964 0 0 -12.302 -8.964 -11.726 -7.088 1899 3 -5.647 -4.518 0 0 -5.647 -4.518 -6.853 -4.424 1899 4 3.935 -0.346 0 0 3.935 -0.346 1.879 -1.102 1899 5 7.903 -1.794 0 0 7.903 -1.794 6.132 -2.265 1899 6 13.112 -0.961 0 0 13.112 -0.961 11.083 -1.690 1899 7 18.055 -0.321 0 0 18.055 -0.321 16.981 -0.094 1899 8 14.340 -3.033 0 0 14.340 -3.033 13.556 -2.517 1899 9 13.220 1.083 0 0 13.220 1.083 11.634 0.797 1899 10 3.527 -3.059 0 0 3.527 -3.059 3.820 -1.467 1899 11 3.030 3.731 0 0 3.030 3.731 1.388 3.389 1899 12 -3.592 1.116 0 0 -3.592 1.116 -5.915 0.092 1900 1 -1.353 5.633 0 0 -1.353 5.633 -3.683 4.603 1900 2 -5.961 -2.623 0 0 -5.961 -2.623 -6.112 -1.474 1900 3 2.408 3.536 0 0 2.408 3.536 -0.218 2.210 1900 4 6.907 2.625 0 0 6.907 2.625 4.858 1.877 1900 5 11.015 1.318 0 0 11.015 1.318 10.438 2.041 1900 6 17.363 3.291 0 0 17.363 3.291 15.662 2.890 1900 7 17.140 -1.236 0 0 17.140 -1.236 16.516 -0.560 1900 8 15.671 -1.703 0 0 15.671 -1.703 14.781 -1.293 1900 9 NaN NaN NaN NaN NaN NaN 9.455 -1.382 1900 10 6.265 -0.322 0 0 6.265 -0.322 5.822 0.535 1900 11 -1.758 -1.057 0 0 -1.758 -1.057 -3.053 -1.052 1900 12 -0.927 3.780 0 0 -0.927 3.780 -2.551 3.457 1901 1 -5.440 1.546 0 0 -5.440 1.546 -7.181 1.105 1901 2 NaN NaN NaN NaN NaN NaN -6.553 -1.915 1901 3 -0.153 0.975 0 0 -0.153 0.975 -2.049 0.379 1901 4 NaN NaN NaN NaN NaN NaN 2.628 -0.353 1901 5 11.729 2.032 0 0 11.729 2.032 11.223 2.826 1901 6 10.190 -3.882 0 0 10.190 -3.882 9.476 -3.296 1901 7 19.268 0.892 0 0 19.268 0.892 19.212 2.137 1901 8 18.034 0.660 0 0 18.034 0.660 17.751 1.678 1901 9 9.837 -2.301 0 0 9.837 -2.301 7.670 -3.167 1901 10 9.432 2.846 0 0 9.432 2.846 8.300 3.013 1901 11 2.988 3.689 0 0 2.988 3.689 0.945 2.946 1901 12 NaN NaN NaN NaN NaN NaN -5.132 0.876 1902 1 NaN NaN NaN NaN NaN NaN -8.686 -0.400 1902 2 NaN NaN NaN NaN NaN NaN -2.293 2.345 1902 3 NaN NaN NaN NaN NaN NaN -3.680 -1.251 1902 4 NaN NaN NaN NaN NaN NaN 2.195 -0.786 1902 5 NaN NaN NaN NaN NaN NaN 9.219 0.822 1902 6 NaN NaN NaN NaN NaN NaN 11.046 -1.727 1902 7 NaN NaN NaN NaN NaN NaN 15.033 -2.043 1902 8 NaN NaN NaN NaN NaN NaN 14.993 -1.080 1902 9 NaN NaN NaN NaN NaN NaN 9.330 -1.507 1902 10 NaN NaN NaN NaN NaN NaN 6.847 1.561 1902 11 NaN NaN NaN NaN NaN NaN -2.903 -0.902