% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38034 % Primary Name: PLYMOUTH % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.38330 +/- 0.00005 % Longitude: -83.43330 +/- 0.00005 % Elevation (m): 220.98 +/- 0.15 % # of Months: 279 % % Alternate Names: Missing Station ID - 206642 % % IDs: coop - 206642 % ghcnd - USC00206642 % ncdc - 30015163 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5fd7da6c41f4bd9aaecb346de48a315a % Raw Data Hash: 18395618c234f002136609cb88bc6ac1 % Adj Data Hash: b3bc20022371db7fd12cff25f3854be9 % % 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 1895 5 NaN NaN NaN NaN NaN NaN 14.758 0.659 1895 6 NaN NaN NaN NaN NaN NaN 21.374 1.679 1895 7 NaN NaN NaN NaN NaN NaN 20.853 -1.352 1895 8 NaN NaN NaN NaN NaN NaN 21.255 -0.039 1895 9 NaN NaN NaN NaN NaN NaN 18.832 1.563 1895 10 NaN NaN NaN NaN NaN NaN 7.317 -3.495 1895 11 NaN NaN NaN NaN NaN NaN 2.904 -1.162 1895 12 NaN NaN NaN NaN NaN NaN -2.395 0.040 1896 1 NaN NaN NaN NaN NaN NaN -4.648 0.746 1896 2 NaN NaN NaN NaN NaN NaN -4.421 -0.231 1896 3 NaN NaN NaN NaN NaN NaN -2.348 -3.323 1896 4 NaN NaN NaN NaN NaN NaN 10.950 3.144 1896 5 18.474 4.237 0 0 18.672 4.434 17.951 3.851 1896 6 19.392 -0.441 0 0 19.510 -0.323 19.943 0.249 1896 7 21.671 -0.673 0 0 21.684 -0.659 21.901 -0.304 1896 8 20.803 -0.629 0 0 20.790 -0.642 20.767 -0.526 1896 9 14.578 -2.829 0 0 14.620 -2.787 15.094 -2.174 1896 10 8.235 -2.714 0 0 8.312 -2.638 8.111 -2.701 1896 11 3.860 -0.344 0 0 3.934 -0.270 4.733 0.667 1896 12 -2.239 0.057 0 0 -2.120 0.176 -2.573 -0.138 1897 1 -5.726 -0.471 0 0 -5.506 -0.251 -5.892 -0.498 1897 2 -3.161 0.890 0 0 -2.883 1.168 -3.363 0.827 1897 3 1.140 0.028 0 0 1.398 0.285 0.833 -0.141 1897 4 6.579 -1.365 0 0 6.805 -1.139 7.289 -0.516 1897 5 12.573 -1.665 0 0 12.770 -1.467 12.267 -1.832 1897 6 17.993 -1.840 0 0 18.111 -1.721 17.810 -1.885 1897 7 22.718 0.374 0 0 22.731 0.388 23.375 1.170 1897 8 18.887 -2.545 0 0 18.874 -2.558 19.174 -2.119 1897 9 18.876 1.469 0 0 18.917 1.511 18.471 1.203 1897 10 12.944 1.994 0 0 13.020 2.071 12.674 1.862 1897 11 2.925 -1.279 0 0 2.999 -1.206 3.554 -0.512 1897 12 -3.684 -1.388 0 0 -3.565 -1.269 -3.389 -0.954 1898 1 -3.287 1.968 0 0 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-1.705 0 0 15.743 -1.663 15.666 -1.602 1899 10 12.103 1.153 0 0 12.180 1.230 12.712 1.900 1899 11 5.141 0.937 0 0 5.215 1.011 5.710 1.645 1899 12 NaN NaN NaN NaN NaN NaN -2.907 -0.473 1900 1 -4.261 0.994 0 0 -4.042 1.213 -3.410 1.984 1900 2 -6.981 -2.930 0 0 -6.704 -2.653 -7.051 -2.862 1900 3 NaN NaN NaN NaN NaN NaN -3.763 -4.737 1900 4 NaN NaN NaN NaN NaN NaN 8.632 0.827 1900 5 NaN NaN NaN NaN NaN NaN 14.720 0.621 1900 6 NaN NaN NaN NaN NaN NaN 19.123 -0.571 1900 7 23.513 1.169 0 0 23.527 1.183 22.051 -0.155 1900 8 25.708 4.276 0 0 25.695 4.263 23.785 2.491 1900 9 20.767 3.360 0 0 20.808 3.402 19.198 1.930 1900 10 14.940 3.990 0 0 15.017 4.067 15.064 4.252 1900 11 3.572 -0.632 0 0 3.645 -0.559 4.046 -0.019 1900 12 2.437 4.733 0 0 2.555 4.852 -2.112 0.322 1901 1 -0.481 4.775 0 0 -0.261 4.994 -4.935 0.458 1901 2 NaN NaN NaN NaN NaN NaN -9.450 -5.260 1901 3 NaN NaN NaN NaN NaN NaN 0.275 -0.699 1901 4 NaN NaN NaN NaN NaN NaN 7.947 0.141 1901 5 NaN NaN NaN NaN NaN NaN 13.158 -0.941 1901 6 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1918 6 NaN NaN NaN NaN NaN NaN 18.580 -1.115 1918 7 NaN NaN NaN NaN NaN NaN 21.013 -1.192 1918 8 23.330 1.898 0 1 23.489 2.057 23.152 1.858 1918 9 13.147 -4.260 0 0 13.440 -3.967 13.631 -3.637 1918 10 11.831 0.881 0 0 12.238 1.288 12.126 1.314 1918 11 4.666 0.462 0 0 4.964 0.760 5.132 1.066 1918 12 1.043 3.339 0 0 1.218 3.514 0.565 3.000 1919 1 -1.282 3.973 0 0 -1.060 4.196 -1.973 3.421 1919 2 -2.485 1.567 0 0 -2.202 1.849 -2.819 1.371 1919 3 2.545 1.432 0 0 2.799 1.687 1.856 0.881 1919 4 7.600 -0.344 0 0 7.913 -0.031 7.330 -0.475 1919 5 12.890 -1.348 0 0 13.382 -0.856 12.382 -1.717 1919 6 22.747 2.915 0 0 23.256 3.423 22.785 3.091 1919 7 22.721 0.377 0 0 23.009 0.665 22.937 0.731 1919 8 20.128 -1.304 0 0 20.287 -1.145 20.368 -0.926 1919 9 18.095 0.688 0 0 18.388 0.981 18.331 1.063 1919 10 12.614 1.665 0 0 13.022 2.072 12.745 1.934 1919 11 3.466 -0.738 1 0 NaN NaN 3.504 -0.562 1919 12 -7.110 -4.814 1 0 NaN NaN -6.670 -4.235 1920 1 -8.994 -3.739 1 0 NaN NaN -10.338 -4.945 1920 2 -7.137 -3.086 0 0 -6.854 -2.803 -6.894 -2.705 1920 3 1.658 0.545 0 0 1.912 0.800 2.183 1.208 1920 4 4.107 -3.837 0 0 4.420 -3.524 4.851 -2.954 1920 5 12.068 -2.170 0 0 12.559 -1.679 12.232 -1.868 1920 6 19.112 -0.721 0 0 19.620 -0.213 19.890 0.195 1920 7 19.623 -2.720 0 0 19.911 -2.432 20.137 -2.068 1920 8 19.447 -1.985 0 0 19.607 -1.825 20.373 -0.921 1920 9 17.183 -0.223 0 0 17.477 0.070 18.247 0.979 1920 10 13.429 2.479 0 0 13.836 2.887 14.376 3.564 1920 11 2.575 -1.629 0 0 2.873 -1.331 3.503 -0.563 1920 12 -0.530 1.766 0 0 -0.355 1.941 -0.734 1.701 1921 1 -1.661 3.594 0 0 -1.439 3.816 -2.041 3.352 1921 2 -1.730 2.321 0 0 -1.447 2.604 -2.128 2.062 1921 3 5.608 4.495 0 0 5.862 4.749 5.444 4.470 1921 4 10.954 3.010 0 0 11.267 3.323 11.247 3.442 1921 5 15.534 1.296 0 0 16.025 1.787 15.310 1.210 1921 6 21.350 1.517 0 0 21.858 2.026 21.325 1.630 1921 7 24.775 2.431 0 0 25.062 2.719 25.277 3.072 1921 8 20.145 -1.287 0 0 20.304 -1.128 20.500 -0.794 1921 9 18.850 1.443 0 0 19.143 1.736 20.122 2.854 1921 10 10.276 -0.674 0 0 10.683 -0.267 11.007 0.195 1921 11 2.530 -1.674 0 0 2.827 -1.377 3.381 -0.684 1921 12 -1.421 0.875 0 0 -1.246 1.051 -2.141 0.294 1922 1 -5.901 -0.646 1 0 NaN NaN -6.216 -0.823 1922 2 -2.829 1.223 0 0 -2.546 1.505 -3.174 1.015 1922 3 2.910 1.797 0 0 3.164 2.051 2.192 1.217 1922 4 8.143 0.199 0 0 8.456 0.512 8.422 0.616 1922 5 15.510 1.272 0 0 16.001 1.763 15.858 1.759 1922 6 19.050 -0.783 0 0 19.559 -0.274 19.810 0.115 1922 7 21.217 -1.126 0 0 21.505 -0.838 21.642 -0.563 1922 8 20.804 -0.628 0 0 20.964 -0.468 20.665 -0.629 1922 9 18.237 0.830 0 0 18.530 1.123 18.679 1.411 1922 10 11.255 0.305 0 0 11.662 0.713 11.954 1.142 1922 11 5.066 0.862 0 0 5.364 1.160 5.524 1.458 1922 12 -3.415 -1.118 0 0 -3.239 -0.943 -3.135 -0.701 1923 1 -3.809 1.447 0 0 -3.586 1.669 -4.469 0.925 1923 2 -6.774 -2.723 0 0 -6.491 -2.440 -7.085 -2.895 1923 3 -0.693 -1.806 0 0 -0.439 -1.552 -1.088 -2.063 1923 4 6.767 -1.177 0 0 7.080 -0.864 6.864 -0.941 1923 5 11.947 -2.291 0 0 12.438 -1.800 11.852 -2.248 1923 6 21.398 1.565 0 0 21.907 2.074 21.360 1.666 1923 7 21.020 -1.323 0 0 21.308 -1.036 21.550 -0.655 1923 8 20.654 -0.778 0 0 20.814 -0.619 20.100 -1.194 1923 9 16.692 -0.715 0 0 16.985 -0.422 17.208 -0.061 1923 10 8.902 -2.048 0 0 9.309 -1.641 9.834 -0.977 1923 11 2.869 -1.335 0 0 3.166 -1.038 4.203 0.137 1923 12 1.885 4.181 0 0 2.060 4.356 2.008 4.443 1924 1 -6.208 -0.953 0 0 -5.986 -0.730 -6.836 -1.442 1924 2 -5.249 -1.197 0 0 -4.966 -0.915 -5.539 -1.349 1924 3 -0.696 -1.809 0 0 -0.442 -1.555 -0.012 -0.986 1924 4 6.712 -1.232 0 0 7.025 -0.919 7.497 -0.308 1924 5 9.794 -4.444 0 0 10.285 -3.953 10.349 -3.750 1924 6 17.152 -2.681 1 0 NaN NaN 18.284 -1.410 1924 7 15.000 -7.344 1 0 NaN NaN 20.570 -1.635 1924 8 19.832 -1.600 0 0 19.992 -1.440 20.408 -0.886 1924 9 14.226 -3.180 0 0 14.519 -2.887 14.695 -2.573 1924 10 11.731 0.781 0 0 12.138 1.188 12.443 1.632 1924 11 3.110 -1.094 0 0 3.407 -0.797 4.285 0.220 1924 12 -5.629 -3.333 0 0 -5.454 -3.158 -5.549 -3.114 1925 1 NaN NaN NaN NaN NaN NaN -7.313 -1.920 1925 2 NaN NaN NaN NaN NaN NaN -2.125 2.064 1925 3 NaN NaN NaN NaN NaN NaN 2.115 1.140 1925 4 NaN NaN NaN NaN NaN NaN 9.942 2.137 1925 5 NaN NaN NaN NaN NaN NaN 11.322 -2.777 1925 6 NaN NaN NaN NaN NaN NaN 21.268 1.574 1925 7 NaN NaN NaN NaN NaN NaN 21.314 -0.891 1925 8 NaN NaN NaN NaN NaN NaN 21.205 -0.089 1925 9 NaN NaN NaN NaN NaN NaN 18.584 1.316 1925 10 NaN NaN NaN NaN NaN NaN 6.198 -4.614 1925 11 NaN NaN NaN NaN NaN NaN 2.780 -1.285 1925 12 NaN NaN NaN NaN NaN NaN -4.089 -1.654