% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40672 % Primary Name: MUD BUTTE 4 SSW % Record Type: TAVG % Country: United States % State: SD % Latitude: 44.95000 +/- 0.00500 % Longitude: -102.90000 +/- 0.00500 % Elevation (m): 869.00 +/- 0.05 % # of Months: 57 % % Alternate Names: MUD BUTTE % % IDs: coop - 395876 % ghcnd - USC00395876 % ncdc - 20017867 % ncdc - 20017880 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 55e1d4f27c18addc0ee87527d7107819 % Raw Data Hash: 50be3857c248e0ca13246d50b893cce0 % Adj Data Hash: 46fe142c7c358efe29af1a2bfc068c8b % % 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 1920 1 NaN NaN NaN NaN NaN NaN -4.889 1.774 1920 2 NaN NaN NaN NaN NaN NaN -2.610 0.936 1920 3 NaN NaN NaN NaN NaN NaN -1.065 -1.270 1920 4 NaN NaN NaN NaN NaN NaN 2.024 -4.903 1920 5 NaN NaN NaN NaN NaN NaN 11.980 -1.187 1920 6 NaN NaN NaN NaN NaN NaN 16.920 -1.624 1920 7 NaN NaN NaN NaN NaN NaN 21.849 -0.791 1920 8 NaN NaN NaN NaN NaN NaN 20.931 -0.886 1920 9 NaN NaN NaN NaN NaN NaN 15.626 -0.288 1920 10 NaN NaN NaN NaN NaN NaN 11.266 1.757 1920 11 NaN NaN NaN NaN NaN NaN -0.473 -1.869 1920 12 NaN NaN NaN NaN NaN NaN -3.431 0.254 1921 1 -6.692 0.375 1 0 NaN NaN -2.197 4.465 1921 2 0.161 4.111 0 0 0.161 4.111 0.669 4.214 1921 3 3.438 3.637 0 0 3.438 3.637 2.646 2.441 1921 4 7.319 0.795 0 0 7.319 0.795 6.938 0.011 1921 5 12.111 -0.652 0 0 12.111 -0.652 12.486 -0.680 1921 6 21.998 3.858 0 0 21.998 3.858 21.080 2.536 1921 7 24.842 2.605 0 0 24.842 2.605 23.327 0.687 1921 8 NaN NaN NaN NaN NaN NaN 21.842 0.026 1921 9 NaN NaN NaN NaN NaN NaN 15.159 -0.755 1921 10 NaN NaN NaN NaN NaN NaN 11.895 2.387 1921 11 -1.228 -2.220 0 0 -1.228 -2.220 -0.396 -1.792 1921 12 -4.750 -0.661 0 0 -4.750 -0.661 -3.473 0.212 1922 1 -10.635 -3.568 0 0 -10.635 -3.568 -10.180 -3.517 1922 2 -13.211 -9.261 0 0 -13.211 -9.261 -10.033 -6.487 1922 3 -1.181 -0.982 0 0 -1.181 -0.982 0.299 0.093 1922 4 6.962 0.438 0 0 6.962 0.438 6.297 -0.630 1922 5 13.815 1.053 1 0 NaN NaN 13.157 -0.010 1922 6 19.223 1.083 0 0 19.223 1.083 19.288 0.743 1922 7 20.265 -1.971 0 0 20.265 -1.971 20.221 -2.420 1922 8 22.563 1.151 0 0 22.563 1.151 23.036 1.219 1922 9 17.193 1.683 0 0 17.193 1.683 17.493 1.579 1922 10 9.225 0.121 0 0 9.225 0.121 11.017 1.509 1922 11 -0.900 -1.892 0 0 -0.900 -1.892 1.078 -0.318 1922 12 -8.150 -4.061 0 0 -8.150 -4.061 -6.490 -2.805 1923 1 -3.398 3.668 0 0 -3.398 3.668 -3.144 3.519 1923 2 -6.704 -2.754 0 0 -6.704 -2.754 -6.140 -2.594 1923 3 -1.056 -0.858 0 0 -1.056 -0.858 -2.261 -2.467 1923 4 5.888 -0.635 0 0 5.888 -0.635 6.101 -0.826 1923 5 13.122 0.360 0 0 13.122 0.360 12.750 -0.416 1923 6 18.480 0.340 0 0 18.480 0.340 18.244 -0.300 1923 7 NaN NaN NaN NaN NaN NaN 23.228 0.588 1923 8 NaN NaN NaN NaN NaN NaN 19.684 -2.132 1923 9 15.814 0.303 0 0 15.814 0.303 15.673 -0.241 1923 10 7.581 -1.523 1 0 NaN NaN 8.101 -1.407 1923 11 3.938 2.946 0 0 3.938 2.946 4.886 3.490 1923 12 -2.526 1.563 1 0 NaN NaN -1.557 2.128 1924 1 NaN NaN NaN NaN NaN NaN -9.670 -3.007 1924 2 -3.047 0.903 0 0 -3.047 0.903 -1.110 2.435 1924 3 -2.763 -2.565 0 0 -2.763 -2.565 -3.926 -4.131 1924 4 7.565 1.042 0 0 7.565 1.042 6.575 -0.352 1924 5 10.869 -1.893 0 0 10.869 -1.893 10.444 -2.722 1924 6 16.957 -1.183 0 0 16.957 -1.183 16.588 -1.956 1924 7 20.734 -1.502 1 0 NaN NaN 21.073 -1.567 1924 8 NaN NaN NaN NaN NaN NaN 21.035 -0.781 1924 9 NaN NaN NaN NaN NaN NaN 14.731 -1.183 1924 10 NaN NaN NaN NaN NaN NaN 12.492 2.984 1924 11 NaN NaN NaN NaN NaN NaN 2.521 1.125 1924 12 NaN NaN NaN NaN NaN NaN -9.440 -5.755 1925 1 NaN NaN NaN NaN NaN NaN -7.435 -0.773 1925 2 NaN NaN NaN NaN NaN NaN 0.060 3.606 1925 3 NaN NaN NaN NaN NaN NaN 2.081 1.875 1925 4 NaN NaN NaN NaN NaN NaN 10.067 3.140 1925 5 13.166 0.404 0 0 13.166 0.404 13.532 0.366 1925 6 17.157 -0.984 0 0 17.157 -0.984 17.298 -1.246 1925 7 21.477 -0.759 0 0 21.477 -0.759 21.974 -0.667 1925 8 22.067 0.654 0 0 22.067 0.654 22.113 0.297 1925 9 16.878 1.367 0 0 16.878 1.367 16.709 0.795 1925 10 2.009 -7.095 0 0 2.009 -7.095 3.220 -6.288 1925 11 1.448 0.456 0 0 1.448 0.456 2.069 0.673 1925 12 -5.091 -1.002 1 0 NaN NaN -2.598 1.087 1926 1 -6.693 0.373 0 0 -6.693 0.373 -4.568 2.095 1926 2 -3.400 0.550 1 0 NaN NaN 0.888 4.433 1926 3 -0.753 -0.555 0 0 -0.753 -0.555 0.281 0.076 1926 4 7.491 0.968 0 0 7.491 0.968 7.722 0.794 1926 5 15.482 2.720 0 0 15.482 2.720 15.013 1.847 1926 6 17.805 -0.335 0 0 17.805 -0.335 17.575 -0.969 1926 7 22.297 0.061 0 0 22.297 0.061 22.409 -0.231 1926 8 20.610 -0.803 0 0 20.610 -0.803 21.397 -0.419 1926 9 NaN NaN NaN NaN NaN NaN 13.498 -2.416 1926 10 NaN NaN NaN NaN NaN NaN 10.888 1.379 1926 11 NaN NaN NaN NaN NaN NaN -0.677 -2.073 1926 12 -6.365 -2.276 1 0 NaN NaN -4.507 -0.822 1927 1 -7.348 -0.282 0 0 -7.348 -0.282 -6.534 0.128 1927 2 -4.871 -0.922 0 0 -4.871 -0.922 -1.472 2.074 1927 3 0.521 0.719 0 0 0.521 0.719 0.721 0.515 1927 4 NaN NaN NaN NaN NaN NaN 5.586 -1.341 1927 5 NaN NaN NaN NaN NaN NaN 10.755 -2.412 1927 6 NaN NaN NaN NaN NaN NaN 16.550 -1.994 1927 7 NaN NaN NaN NaN NaN NaN 20.318 -2.323 1927 8 NaN NaN NaN NaN NaN NaN 18.743 -3.073 1927 9 NaN NaN NaN NaN NaN NaN 14.826 -1.088 1927 10 NaN NaN NaN NaN NaN NaN 11.773 2.265 1927 11 NaN NaN NaN NaN NaN NaN -0.442 -1.838 1927 12 NaN NaN NaN NaN NaN NaN -11.819 -8.134 1928 1 NaN NaN NaN NaN NaN NaN -4.204 2.458 1928 2 NaN NaN NaN NaN NaN NaN -1.417 2.129 1928 3 NaN NaN NaN NaN NaN NaN 2.152 1.947