% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41766 % Primary Name: MUSSELSHELL % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.51670 +/- 0.00005 % Longitude: -108.08330 +/- 0.00005 % Elevation (m): 913.49 +/- 0.15 % # of Months: 24 % % Alternate Names: Missing Station ID - 245955 % % IDs: coop - 245955 % ghcnd - USC00245955 % ncdc - 12003149 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b239a9d789536f3d98bd56ff50bbd228 % Raw Data Hash: 2a536b59709eaef3f190072fb2e5d135 % Adj Data Hash: 2ffda0b5e17d5f3bfa37f5455360a978 % % 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 12 NaN NaN NaN NaN NaN NaN -8.090 -3.222 1893 1 NaN NaN NaN NaN NaN NaN -6.959 1.128 1893 2 NaN NaN NaN NaN NaN NaN -9.555 -5.765 1893 3 NaN NaN NaN NaN NaN NaN -3.296 -3.273 1893 4 NaN NaN NaN NaN NaN NaN 3.520 -2.756 1893 5 NaN NaN NaN NaN NaN NaN 11.601 -0.671 1893 6 NaN NaN NaN NaN NaN NaN 16.697 -0.456 1893 7 NaN NaN NaN NaN NaN NaN 22.225 0.871 1893 8 NaN NaN NaN NaN NaN NaN 20.661 0.424 1893 9 NaN NaN NaN NaN NaN NaN 14.391 0.166 1893 10 NaN NaN NaN NaN NaN NaN 7.784 -0.367 1893 11 NaN NaN NaN NaN NaN NaN -2.278 -2.381 1893 12 -1.222 3.449 1 0 NaN NaN -3.342 1.526 1894 1 -9.763 -1.874 0 0 -9.763 -1.874 -10.315 -2.228 1894 2 NaN NaN NaN NaN NaN NaN -9.639 -5.848 1894 3 -1.584 -1.757 0 0 -1.584 -1.757 -2.565 -2.542 1894 4 8.648 2.175 0 0 8.648 2.175 7.947 1.671 1894 5 13.835 1.366 0 0 13.835 1.366 13.740 1.468 1894 6 18.185 0.836 0 0 18.185 0.836 18.026 0.874 1894 7 21.631 0.080 0 0 21.631 0.080 22.231 0.877 1894 8 22.491 2.058 0 0 22.491 2.058 21.487 1.250 1894 9 13.019 -1.403 0 0 13.019 -1.403 12.506 -1.719 1894 10 NaN NaN NaN NaN NaN NaN 8.119 -0.032 1894 11 NaN NaN NaN NaN NaN NaN 1.974 1.871 1894 12 NaN NaN NaN NaN NaN NaN -4.525 0.343 1895 1 NaN NaN NaN NaN NaN NaN -11.804 -3.717 1895 2 0.460 4.053 1 0 NaN NaN -8.797 -5.007 1895 3 0.011 -0.162 0 0 0.011 -0.162 -1.580 -1.557 1895 4 8.241 1.768 0 0 8.241 1.768 8.841 2.565 1895 5 11.703 -0.767 0 0 11.703 -0.767 11.608 -0.665 1895 6 13.444 -3.905 0 0 13.444 -3.905 14.062 -3.091 1895 7 21.177 -0.373 0 0 21.177 -0.373 20.236 -1.118 1895 8 19.649 -0.784 1 0 NaN NaN 19.827 -0.409 1895 9 NaN NaN NaN NaN NaN NaN 13.136 -1.088 1895 10 NaN NaN NaN NaN NaN NaN 8.943 0.793 1895 11 NaN NaN NaN NaN NaN NaN -1.260 -1.363 1895 12 NaN NaN NaN NaN NaN NaN -4.805 0.063 1896 1 -7.542 0.348 0 0 -7.542 0.348 -8.186 -0.099 1896 2 -2.202 1.391 1 0 NaN NaN 1.060 4.850 1896 3 -3.902 -4.075 0 0 -3.902 -4.075 -3.211 -3.187 1896 4 4.833 -1.639 0 0 4.833 -1.639 5.228 -1.048 1896 5 10.699 -1.770 0 0 10.699 -1.770 10.995 -1.277 1896 6 18.796 1.447 0 0 18.796 1.447 18.283 1.131 1896 7 21.434 -0.117 0 0 21.434 -0.117 21.953 0.599 1896 8 19.767 -0.666 0 0 19.767 -0.666 19.901 -0.336 1896 9 NaN NaN NaN NaN NaN NaN 11.691 -2.534 1896 10 NaN NaN NaN NaN NaN NaN 8.541 0.390 1896 11 NaN NaN NaN NaN NaN NaN -8.462 -8.565 1896 12 NaN NaN NaN NaN NaN NaN 0.108 4.976 1897 1 NaN NaN NaN NaN NaN NaN -8.428 -0.341 1897 2 NaN NaN NaN NaN NaN NaN -5.035 -1.245 1897 3 NaN NaN NaN NaN NaN NaN -6.434 -6.411 1897 4 NaN NaN NaN NaN NaN NaN 6.526 0.251 1897 5 NaN NaN NaN NaN NaN NaN 15.929 3.656 1897 6 NaN NaN NaN NaN NaN NaN 16.713 -0.440 1897 7 NaN NaN NaN NaN NaN NaN 20.823 -0.531 1897 8 NaN NaN NaN NaN NaN NaN 20.596 0.360