% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41141 % Primary Name: STACEY % Record Type: TAVG % Country: United States % State: MT % Latitude: 45.60000 +/- 0.00005 % Longitude: -105.88330 +/- 0.00005 % Elevation (m): 1214.84 +/- 97.37 % # of Months: 26 % % Alternate Names: Missing Station ID - 247848 % % IDs: coop - 247848 % ghcnd - USC00247848 % ncdc - 12003189 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2893c8890decb5d19098d19766ec7b36 % Raw Data Hash: 04af62e6d72f5025bc53e7b4faea4e9e % Adj Data Hash: edb85c4f978ed94d8867d76709a8d464 % % 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 1912 10 NaN NaN NaN NaN NaN NaN 7.530 -0.602 1912 11 NaN NaN NaN NaN NaN NaN 2.246 2.540 1912 12 NaN NaN NaN NaN NaN NaN -2.447 3.215 1913 1 NaN NaN NaN NaN NaN NaN -11.258 -2.177 1913 2 NaN NaN NaN NaN NaN NaN -8.331 -3.351 1913 3 NaN NaN NaN NaN NaN NaN -5.333 -4.649 1913 4 NaN NaN NaN NaN NaN NaN 8.543 2.330 1913 5 NaN NaN NaN NaN NaN NaN 11.256 -1.237 1913 6 NaN NaN NaN NaN NaN NaN 18.371 0.669 1913 7 NaN NaN NaN NaN NaN NaN 20.188 -1.751 1913 8 NaN NaN NaN NaN NaN NaN 21.681 0.719 1913 9 NaN NaN NaN NaN NaN NaN 14.382 -0.225 1913 10 4.063 -5.330 1 0 NaN NaN 5.942 -2.190 1913 11 5.687 4.720 0 0 5.687 4.720 2.948 3.241 1913 12 -1.750 2.651 0 0 -1.750 2.651 -3.583 2.079 1914 1 -1.442 6.378 0 0 -1.442 6.378 -3.735 5.345 1914 2 -6.463 -2.744 0 0 -6.463 -2.744 -8.220 -3.241 1914 3 NaN NaN NaN NaN NaN NaN -0.489 0.195 1914 4 7.404 -0.070 0 0 7.404 -0.070 6.549 0.335 1914 5 11.702 -2.052 0 0 11.702 -2.052 12.187 -0.306 1914 6 15.636 -3.327 0 0 15.636 -3.327 16.944 -0.758 1914 7 22.934 -0.266 0 0 22.934 -0.266 23.296 1.357 1914 8 NaN NaN NaN NaN NaN NaN 19.459 -1.504 1914 9 14.918 -0.949 1 0 NaN NaN 15.135 0.528 1914 10 9.592 0.199 0 0 9.592 0.199 10.056 1.923 1914 11 5.978 5.012 0 0 5.978 5.012 2.994 3.288 1914 12 -7.760 -3.358 0 0 -7.760 -3.358 -10.075 -4.414 1915 1 -5.977 1.843 0 0 -5.977 1.843 -9.606 -0.526 1915 2 -2.746 0.972 0 0 -2.746 0.972 -3.835 1.144 1915 3 -2.118 -2.695 0 0 -2.118 -2.695 -3.914 -3.230 1915 4 12.888 5.414 0 0 12.888 5.414 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 -3.874 0.527 0 0 -3.874 0.527 -4.273 1.388 1916 1 NaN NaN NaN NaN NaN NaN -19.425 -10.344 1916 2 NaN NaN NaN NaN NaN NaN -5.919 -0.940 1916 3 3.386 2.810 0 0 3.386 2.810 1.036 1.720 1916 4 7.048 -0.426 0 0 7.048 -0.426 5.882 -0.332 1916 5 10.715 -3.039 0 0 10.715 -3.039 10.099 -2.394 1916 6 15.990 -2.973 0 0 15.990 -2.973 14.743 -2.960 1916 7 23.019 -0.180 0 0 23.019 -0.180 23.174 1.235 1916 8 NaN NaN NaN NaN NaN NaN 19.839 -1.123 1916 9 NaN NaN NaN NaN NaN NaN 13.277 -1.330 1916 10 5.805 -3.587 1 0 NaN NaN 6.260 -1.872 1916 11 1.415 0.448 0 1 1.415 0.448 -0.288 0.006 1916 12 -9.195 -4.793 1 0 NaN NaN -12.152 -6.490 1917 1 NaN NaN NaN NaN NaN NaN -10.673 -1.592 1917 2 NaN NaN NaN NaN NaN NaN -10.140 -5.160 1917 3 NaN NaN NaN NaN NaN NaN -5.598 -4.914 1917 4 NaN NaN NaN NaN NaN NaN 3.859 -2.355 1917 5 NaN NaN NaN NaN NaN NaN 10.014 -2.479 1917 6 NaN NaN NaN NaN NaN NaN 15.009 -2.694 1917 7 NaN NaN NaN NaN NaN NaN 23.787 1.847 1917 8 NaN NaN NaN NaN NaN NaN 19.642 -1.320 1917 9 NaN NaN NaN NaN NaN NaN 14.456 -0.151 1917 10 NaN NaN NaN NaN NaN NaN 6.076 -2.056 1917 11 NaN NaN NaN NaN NaN NaN 4.878 5.172 1917 12 NaN NaN NaN NaN NaN NaN -9.972 -4.310