% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37639 % Primary Name: SOMERSET % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.05000 +/- 0.00500 % Longitude: -84.40000 +/- 0.00500 % Elevation (m): 323.96 +/- 15.67 % # of Months: 124 % % Alternate Names: Missing Station ID - 207662 % % IDs: coop - 207662 % ghcnd - USC00207662 % ncdc - 30015171 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c04b715cbf710ca9ab08961b71694aca % Raw Data Hash: 8ac33d20f83609ece67140ab9f648ba4 % Adj Data Hash: 0541efaab87820fd56a6978d9413caf9 % % 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 9 NaN NaN NaN NaN NaN NaN 17.971 1.029 1894 10 NaN NaN NaN NaN NaN NaN 10.496 -0.123 1894 11 NaN NaN NaN NaN NaN NaN 1.241 -2.569 1894 12 NaN NaN NaN NaN NaN NaN -0.660 1.923 1895 1 NaN NaN NaN NaN NaN NaN -8.324 -2.764 1895 2 NaN NaN NaN NaN NaN NaN -9.020 -4.722 1895 3 NaN NaN NaN NaN NaN NaN -1.909 -2.944 1895 4 NaN NaN NaN NaN NaN NaN 9.644 1.441 1895 5 NaN NaN NaN NaN NaN NaN 15.103 0.539 1895 6 NaN NaN NaN NaN NaN NaN 21.509 1.710 1895 7 NaN NaN NaN NaN NaN NaN 21.030 -0.926 1895 8 NaN NaN NaN NaN NaN NaN 21.172 0.236 1895 9 19.333 2.754 0 0 19.163 2.583 19.008 2.066 1895 10 5.651 -4.604 0 0 5.545 -4.711 6.979 -3.639 1895 11 1.687 -1.762 0 0 1.635 -1.813 2.360 -1.450 1895 12 -3.011 -0.065 0 0 -3.046 -0.100 -2.286 0.297 1896 1 -4.871 1.052 0 0 -4.878 1.045 -4.901 0.659 1896 2 -4.406 0.254 0 0 -4.399 0.262 -4.529 -0.231 1896 3 -2.186 -2.859 0 0 -2.239 -2.911 -1.985 -3.020 1896 4 12.050 4.209 0 0 11.927 4.086 11.465 3.262 1896 5 18.278 4.076 0 0 18.179 3.977 18.265 3.701 1896 6 20.350 0.912 0 0 20.321 0.883 20.253 0.453 1896 7 21.519 -0.075 0 0 21.468 -0.126 21.449 -0.507 1896 8 21.732 1.159 1 0 NaN NaN 20.862 -0.074 1896 9 13.502 -3.077 0 0 13.332 -3.248 14.732 -2.210 1896 10 7.721 -2.535 0 0 7.615 -2.641 8.044 -2.574 1896 11 3.759 0.311 0 0 3.708 0.260 3.951 0.141 1896 12 -2.814 0.132 0 0 -2.849 0.097 -2.083 0.500 1897 1 -6.898 -0.976 0 0 -6.905 -0.983 -6.028 -0.468 1897 2 -4.033 0.628 0 0 -4.026 0.635 -3.713 0.585 1897 3 0.778 0.106 0 0 0.726 0.053 0.473 -0.562 1897 4 6.620 -1.221 0 0 6.497 -1.344 7.185 -1.018 1897 5 12.222 -1.980 0 0 12.124 -2.078 12.337 -2.228 1897 6 17.630 -1.808 0 0 17.600 -1.837 18.197 -1.602 1897 7 22.867 1.274 0 0 22.817 1.223 23.310 1.355 1897 8 18.730 -1.843 0 0 18.586 -1.988 18.886 -2.050 1897 9 18.314 1.734 0 0 18.144 1.564 18.583 1.641 1897 10 12.168 1.913 0 0 12.062 1.807 12.672 2.053 1897 11 2.433 -1.015 0 0 2.382 -1.067 3.198 -0.612 1897 12 -3.827 -0.882 0 0 -3.862 -0.917 -3.760 -1.177 1898 1 -3.716 2.206 0 0 -3.724 2.199 -3.497 2.064 1898 2 -4.359 0.302 0 0 -4.352 0.309 -4.447 -0.148 1898 3 3.389 2.717 0 0 3.337 2.664 3.437 2.403 1898 4 6.722 -1.119 0 0 6.599 -1.242 7.072 -1.131 1898 5 13.926 -0.276 0 0 13.827 -0.375 14.154 -0.411 1898 6 20.119 0.681 1 0 NaN NaN 20.583 0.783 1898 7 22.168 0.575 0 0 22.118 0.524 22.440 0.484 1898 8 21.537 0.964 0 0 21.393 0.819 21.013 0.077 1898 9 18.218 1.639 0 0 18.048 1.468 18.290 1.348 1898 10 10.315 0.059 0 0 10.209 -0.047 10.524 -0.094 1898 11 NaN NaN NaN NaN NaN NaN 1.766 -2.045 1898 12 -4.116 -1.171 0 0 -4.151 -1.206 -4.304 -1.721 1899 1 -5.329 0.594 0 0 -5.336 0.587 -5.838 -0.278 1899 2 -8.075 -3.415 0 0 -8.068 -3.407 -8.648 -4.350 1899 3 -2.376 -3.048 0 0 -2.428 -3.100 -2.118 -3.153 1899 4 10.030 2.189 0 0 9.907 2.066 10.622 2.418 1899 5 15.031 0.829 0 0 14.932 0.730 15.283 0.719 1899 6 20.047 0.609 0 0 20.017 0.580 20.847 1.047 1899 7 21.531 -0.063 0 0 21.480 -0.113 21.600 -0.356 1899 8 21.332 0.759 0 0 21.188 0.615 21.704 0.768 1899 9 15.505 -1.075 0 0 15.335 -1.245 15.382 -1.560 1899 10 12.616 2.360 0 0 12.510 2.254 12.908 2.290 1899 11 4.038 0.590 0 0 3.987 0.539 5.369 1.559 1899 12 -3.009 -0.064 0 0 -3.044 -0.099 -2.797 -0.214 1900 1 -3.163 2.760 0 0 -3.170 2.753 -3.365 2.196 1900 2 -7.628 -2.967 0 0 -7.620 -2.960 -7.298 -3.000 1900 3 -4.033 -4.705 0 0 -4.085 -4.757 -3.427 -4.461 1900 4 8.387 0.546 0 0 8.263 0.423 9.270 1.066 1900 5 15.368 1.166 0 0 15.269 1.067 15.505 0.940 1900 6 18.669 -0.769 0 0 18.639 -0.798 19.124 -0.675 1900 7 21.473 -0.121 0 0 21.422 -0.172 21.530 -0.426 1900 8 23.444 2.870 0 0 23.299 2.726 23.676 2.740 1900 9 19.057 2.477 0 0 18.886 2.307 18.763 1.821 1900 10 14.481 4.225 0 0 14.375 4.119 14.830 4.212 1900 11 2.632 -0.816 0 0 2.580 -0.868 3.375 -0.435 1900 12 NaN NaN NaN NaN NaN NaN -2.354 0.229 1901 1 -4.759 1.164 0 0 -4.766 1.157 -4.944 0.616 1901 2 -9.444 -4.784 0 0 -9.437 -4.777 -9.568 -5.270 1901 3 0.287 -0.385 0 0 0.235 -0.438 0.242 -0.792 1901 4 7.619 -0.222 0 0 7.496 -0.345 8.308 0.105 1901 5 12.445 -1.757 0 0 12.346 -1.856 13.392 -1.173 1901 6 19.593 0.155 0 0 19.563 0.126 20.799 0.999 1901 7 24.425 2.832 0 0 24.375 2.781 24.684 2.728 1901 8 21.256 0.683 0 0 21.112 0.538 20.748 -0.188 1901 9 17.211 0.631 0 0 17.040 0.461 17.084 0.142 1901 10 11.360 1.104 0 1 11.684 1.428 11.291 0.673 1901 11 1.171 -2.277 0 0 1.369 -2.079 2.336 -1.474 1901 12 -6.763 -3.818 1 0 NaN NaN -4.975 -2.391 1902 1 -6.456 -0.533 0 0 -6.360 -0.437 -5.511 0.050 1902 2 -6.704 -2.044 0 0 -6.641 -1.981 -6.918 -2.620 1902 3 4.283 3.611 1 0 NaN NaN 3.667 2.633 1902 4 7.424 -0.417 0 0 7.787 -0.054 7.888 -0.315 1902 5 15.766 1.564 1 0 NaN NaN 15.189 0.624 1902 6 16.817 -2.621 0 0 16.964 -2.474 17.622 -2.178 1902 7 21.750 0.156 0 0 21.946 0.353 21.939 -0.017 1902 8 18.345 -2.228 0 0 18.757 -1.817 18.867 -2.068 1902 9 NaN NaN NaN NaN NaN NaN 15.534 -1.408 1902 10 10.116 -0.140 0 0 10.440 0.184 10.664 0.046 1902 11 6.881 3.433 0 0 7.079 3.631 7.385 3.574 1902 12 -5.528 -2.583 1 0 NaN NaN -3.899 -1.316 1903 1 -6.942 -1.020 1 0 NaN NaN -5.812 -0.252 1903 2 -6.843 -2.182 1 0 NaN NaN -5.207 -0.909 1903 3 NaN NaN NaN NaN NaN NaN 4.878 3.843 1903 4 7.312 -0.529 0 0 7.675 -0.166 8.049 -0.154 1903 5 14.300 0.098 0 0 14.607 0.405 15.638 1.074 1903 6 14.748 -4.689 0 0 14.895 -4.542 16.976 -2.824 1903 7 NaN NaN NaN NaN NaN NaN 21.283 -0.673 1903 8 17.773 -2.800 1 0 NaN NaN 18.618 -2.318 1903 9 14.325 -2.255 1 0 NaN NaN 16.760 -0.182 1903 10 9.455 -0.801 1 0 NaN NaN 10.655 0.037 1903 11 0.241 -3.207 1 0 NaN NaN 1.825 -1.986 1903 12 NaN NaN NaN NaN NaN NaN -6.925 -4.342 1904 1 -10.180 -4.257 1 0 NaN NaN -10.113 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0.372 10.545 -0.073 1905 11 1.326 -2.122 0 0 1.374 -2.074 2.693 -1.117 1905 12 -1.867 1.078 0 0 -1.857 1.089 -1.721 0.863 1906 1 -0.310 5.613 0 0 -0.364 5.559 -0.971 4.590 1906 2 -5.032 -0.372 0 0 -5.119 -0.458 -5.155 -0.857 1906 3 -3.397 -4.069 0 0 -3.346 -4.019 -2.627 -3.661 1906 4 8.495 0.654 0 0 8.709 0.868 9.420 1.217 1906 5 13.810 -0.392 0 0 13.967 -0.235 14.384 -0.181 1906 6 18.224 -1.213 0 0 18.222 -1.216 19.242 -0.558 1906 7 20.125 -1.468 1 0 NaN NaN 20.737 -1.219 1906 8 22.055 1.482 1 0 NaN NaN 22.366 1.430 1906 9 18.920 2.340 1 0 NaN NaN 19.306 2.363 1906 10 NaN NaN NaN NaN NaN NaN 9.781 -0.837 1906 11 2.378 -1.070 0 0 2.426 -1.022 3.647 -0.163 1906 12 NaN NaN NaN NaN NaN NaN -2.789 -0.206 1907 1 NaN NaN NaN NaN NaN NaN -4.842 0.719 1907 2 NaN NaN NaN NaN NaN NaN -6.621 -2.322 1907 3 NaN NaN NaN NaN NaN NaN 3.868 2.833 1907 4 NaN NaN NaN NaN NaN NaN 3.636 -4.567 1907 5 NaN NaN NaN NaN NaN NaN 10.259 -4.305 1907 6 NaN NaN NaN NaN NaN NaN 18.130 -1.670 1907 7 NaN NaN NaN NaN 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