% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41538 % Primary Name: RADERSBURG % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.16670 +/- 0.00005 % Longitude: -111.56670 +/- 0.00005 % Elevation (m): 1234.44 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 246820 % % IDs: coop - 246820 % ghcnd - USC00246820 % ncdc - 12003161 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 83d8f21dac9d2ae02794c24268fdaab1 % Raw Data Hash: f548307b585105f887218adb2d46367b % Adj Data Hash: e981e1ad18506f497bf04a8320038917 % % 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 1894 6 NaN NaN NaN NaN NaN NaN 11.446 -1.326 1894 7 NaN NaN NaN NaN NaN NaN 16.904 -0.171 1894 8 NaN NaN NaN NaN NaN NaN 17.348 1.274 1894 9 NaN NaN NaN NaN NaN NaN 8.967 -1.870 1894 10 NaN NaN NaN NaN NaN NaN 5.722 0.436 1894 11 NaN NaN NaN NaN NaN NaN 1.840 3.841 1894 12 NaN NaN NaN NaN NaN NaN -6.608 -0.600 1895 1 NaN NaN NaN NaN NaN NaN -9.688 -1.401 1895 2 NaN NaN NaN NaN NaN NaN -6.304 -1.667 1895 3 NaN NaN NaN NaN NaN NaN -3.905 -1.477 1895 4 NaN NaN NaN NaN NaN NaN 4.902 1.920 1895 5 NaN NaN NaN NaN NaN NaN 8.279 -0.118 1895 6 23.037 7.732 1 0 NaN NaN 9.996 -2.777 1895 7 NaN NaN NaN NaN NaN NaN 15.727 -1.349 1895 8 26.192 7.587 1 0 NaN NaN 15.600 -0.474 1895 9 17.462 4.092 0 0 17.462 4.092 8.723 -2.114 1895 10 NaN NaN NaN NaN NaN NaN 6.249 0.962 1895 11 1.372 0.841 0 0 1.372 0.841 -3.193 -1.192 1895 12 -3.977 -0.502 0 0 -3.977 -0.502 -7.121 -1.114 1896 1 NaN NaN NaN NaN NaN NaN -6.003 2.284 1896 2 NaN NaN NaN NaN NaN NaN -1.253 3.385 1896 3 NaN NaN NaN NaN NaN NaN -5.351 -2.922 1896 4 NaN NaN NaN NaN NaN NaN 1.092 -1.890 1896 5 NaN NaN NaN NaN NaN NaN 5.648 -2.749 1896 6 20.180 4.875 0 0 20.180 4.875 13.670 0.897 1896 7 23.639 4.031 0 0 23.639 4.031 17.440 0.364 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 7.948 0.130 0 0 7.948 0.130 6.334 1.048 1896 11 -5.515 -6.046 0 0 -5.515 -6.046 -7.676 -5.675 1896 12 -5.567 -2.091 0 0 -5.567 -2.091 -1.153 4.855 1897 1 -6.135 -0.381 0 0 -6.135 -0.381 -9.466 -1.180 1897 2 -4.834 -2.728 0 0 -4.834 -2.728 -5.526 -0.888 1897 3 -6.482 -6.586 0 0 -6.482 -6.586 -8.163 -5.735 1897 4 5.462 -0.052 0 0 5.462 -0.052 3.681 0.699 1897 5 15.697 4.768 0 0 15.697 4.768 12.703 4.306 1897 6 13.460 -1.845 0 0 13.460 -1.845 11.893 -0.879 1897 7 16.139 -3.469 0 0 16.139 -3.469 15.323 -1.752 1897 8 NaN NaN NaN NaN NaN NaN 17.405 1.331 1897 9 NaN NaN NaN NaN NaN NaN 11.719 0.881 1897 10 NaN NaN NaN NaN NaN NaN 5.801 0.514 1897 11 -1.398 -1.929 0 0 -1.398 -1.929 -3.746 -1.745 1897 12 -5.276 -1.800 0 0 -5.276 -1.800 -6.974 -0.966 1898 1 -4.352 1.402 1 0 NaN NaN -9.146 -0.860 1898 2 0.861 2.966 0 0 0.861 2.966 -1.410 3.228 1898 3 -1.982 -2.086 0 0 -1.982 -2.086 -7.167 -4.739 1898 4 NaN NaN NaN NaN NaN NaN 4.114 1.133 1898 5 8.574 -2.355 0 0 8.574 -2.355 7.337 -1.060 1898 6 NaN NaN NaN NaN NaN NaN 11.746 -1.027 1898 7 21.831 2.223 0 0 21.831 2.223 16.181 -0.895 1898 8 20.469 1.864 0 0 20.469 1.864 17.672 1.598 1898 9 12.968 -0.401 0 0 12.968 -0.401 9.977 -0.860 1898 10 3.952 -3.867 0 0 3.952 -3.867 3.142 -2.144 1898 11 NaN NaN NaN NaN NaN NaN -4.035 -2.034 1898 12 -4.852 -1.376 0 0 -4.852 -1.376 -8.101 -2.094 1899 1 -5.726 0.028 0 0 -5.726 0.028 -7.946 0.340 1899 2 -15.195 -13.089 0 0 -15.195 -13.089 -11.726 -7.088 1899 3 NaN NaN NaN NaN NaN NaN -6.853 -4.424 1899 4 NaN NaN NaN NaN NaN NaN 1.879 -1.102 1899 5 NaN NaN NaN NaN NaN NaN 6.132 -2.265 1899 6 NaN NaN NaN NaN NaN NaN 11.083 -1.690 1899 7 NaN NaN NaN NaN NaN NaN 16.981 -0.094 1899 8 NaN NaN NaN NaN NaN NaN 13.556 -2.517 1899 9 NaN NaN NaN NaN NaN NaN 11.634 0.797 1899 10 NaN NaN NaN NaN NaN NaN 3.820 -1.467 1899 11 NaN NaN NaN NaN NaN NaN 1.388 3.389 1899 12 NaN NaN NaN NaN NaN NaN -5.915 0.092 1900 1 NaN NaN NaN NaN NaN NaN -3.683 4.603 1900 2 NaN NaN NaN NaN NaN NaN -6.112 -1.474