% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41859 % Primary Name: VICTORIA % Record Type: TAVG % Country: United States % State: MI % Latitude: 46.66670 +/- 0.00005 % Longitude: -89.23330 +/- 0.00005 % Elevation (m): 376.73 +/- 0.15 % # of Months: 170 % % Alternate Names: Missing Station ID - 208506 % % IDs: coop - 208506 % ghcnd - USC00208506 % ncdc - 30015182 % nws - VCTM4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 45a0049aba63500e28eea89d88f22382 % Raw Data Hash: d4575b8af06fbb2bf3fc9def6a1515f5 % Adj Data Hash: 0b830e7ed62c7c7b18462a262b022c6c % % 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 1908 7 NaN NaN NaN NaN NaN NaN 16.896 0.150 1908 8 NaN NaN NaN NaN NaN NaN 16.359 -0.349 1908 9 NaN NaN NaN NaN NaN NaN 15.531 3.106 1908 10 NaN NaN NaN NaN NaN NaN 10.009 2.010 1908 11 NaN NaN NaN NaN NaN NaN 3.136 1.467 1908 12 NaN NaN NaN NaN NaN NaN -5.178 -0.362 1909 1 NaN NaN NaN NaN NaN NaN -8.201 0.502 1909 2 NaN NaN NaN NaN NaN NaN -7.563 0.235 1909 3 NaN NaN NaN NaN NaN NaN -3.547 -0.318 1909 4 NaN NaN NaN NaN NaN NaN 0.125 -3.054 1909 5 NaN NaN NaN NaN NaN NaN 6.545 -1.827 1909 6 NaN NaN NaN NaN NaN NaN 13.370 0.485 1909 7 18.923 1.919 0 0 18.924 1.920 16.312 -0.434 1909 8 19.479 2.513 0 0 19.566 2.600 17.607 0.898 1909 9 13.697 1.014 0 0 13.826 1.143 11.573 -0.853 1909 10 6.056 -2.200 0 0 6.191 -2.065 7.425 -0.574 1909 11 1.512 -0.415 0 0 1.830 -0.096 4.552 2.883 1909 12 -8.823 -4.264 0 0 -8.194 -3.635 -4.847 -0.031 1910 1 -10.408 -1.962 0 0 -9.680 -1.234 -7.353 1.350 1910 2 -13.207 -5.667 0 0 -12.669 -5.128 -10.076 -2.278 1910 3 3.606 6.578 0 0 3.955 6.927 3.336 6.564 1910 4 7.292 3.855 0 0 7.591 4.155 5.962 2.782 1910 5 8.916 0.288 0 0 9.135 0.507 6.093 -2.279 1910 6 19.725 6.583 0 0 19.781 6.639 14.646 1.761 1910 7 20.171 3.168 0 0 20.172 3.168 17.168 0.422 1910 8 17.719 0.754 0 0 17.806 0.841 15.991 -0.718 1910 9 13.743 1.060 0 0 13.873 1.190 11.781 -0.645 1910 10 8.932 0.676 0 0 9.067 0.811 9.487 1.488 1910 11 -3.757 -5.683 0 0 -3.438 -5.365 0.121 -1.549 1910 12 -9.875 -5.316 0 0 -9.247 -4.688 -6.065 -1.249 1911 1 -12.508 -4.062 0 0 -11.780 -3.334 -9.578 -0.875 1911 2 -8.230 -0.690 0 0 -7.692 -0.152 -5.063 2.735 1911 3 -1.927 1.044 0 0 -1.579 1.393 -1.605 1.624 1911 4 4.588 1.152 0 0 4.888 1.452 3.511 0.332 1911 5 13.914 5.286 0 0 14.133 5.505 10.452 2.081 1911 6 19.208 6.066 0 0 19.265 6.123 14.083 1.198 1911 7 19.097 2.093 0 0 19.097 2.094 16.477 -0.270 1911 8 17.312 0.347 0 0 17.399 0.434 15.587 -1.122 1911 9 12.383 -0.300 0 0 12.513 -0.170 10.928 -1.498 1911 10 5.844 -2.412 0 0 5.979 -2.277 7.294 -0.705 1911 11 -5.398 -7.325 0 0 -5.080 -7.006 -1.370 -3.040 1911 12 -5.690 -1.131 0 0 -5.062 -0.503 -1.751 3.065 1912 1 -22.678 -14.231 0 0 -21.950 -13.504 -17.863 -9.159 1912 2 -12.259 -4.718 0 0 -11.720 -4.180 -10.744 -2.946 1912 3 -6.745 -3.774 0 0 -6.396 -3.425 -7.117 -3.889 1912 4 4.767 1.331 0 0 5.067 1.630 3.268 0.089 1912 5 11.013 2.385 0 0 11.232 2.604 7.838 -0.533 1912 6 16.747 3.605 0 0 16.803 3.661 11.946 -0.939 1912 7 19.608 2.605 0 0 19.609 2.605 16.249 -0.497 1912 8 14.665 -2.301 0 0 14.752 -2.214 13.727 -2.981 1912 9 13.249 0.566 0 0 13.379 0.696 12.635 0.209 1912 10 8.694 0.438 0 0 8.829 0.573 9.533 1.534 1912 11 0.778 -1.148 0 0 1.097 -0.830 2.866 1.197 1912 12 -7.235 -2.676 0 0 -6.607 -2.048 -3.822 0.994 1913 1 -10.765 -2.318 0 0 -10.037 -1.590 -8.936 -0.232 1913 2 -13.799 -6.259 0 0 -13.261 -5.721 -11.980 -4.183 1913 3 -8.013 -5.042 0 0 -7.664 -4.693 -6.936 -3.708 1913 4 6.492 3.055 0 0 6.791 3.355 4.994 1.814 1913 5 9.505 0.877 0 0 9.724 1.096 6.913 -1.459 1913 6 18.504 5.362 0 0 18.560 5.418 13.890 1.005 1913 7 17.494 0.491 0 0 17.495 0.491 15.281 -1.466 1913 8 18.461 1.496 0 0 18.548 1.583 16.607 -0.102 1913 9 13.094 0.411 0 0 13.224 0.541 11.819 -0.606 1913 10 6.440 -1.816 0 0 6.575 -1.681 7.512 -0.487 1913 11 2.288 0.362 0 0 2.607 0.680 4.738 3.069 1913 12 -2.698 1.861 0 0 -2.069 2.490 0.355 5.171 1914 1 NaN NaN NaN NaN NaN NaN -5.637 3.067 1914 2 -15.804 -8.264 0 0 -15.266 -7.726 -12.815 -5.017 1914 3 -4.737 -1.766 0 0 -4.389 -1.417 -4.346 -1.118 1914 4 1.283 -2.153 0 0 1.583 -1.853 1.324 -1.855 1914 5 12.610 3.981 0 0 12.829 4.201 10.258 1.886 1914 6 17.112 3.970 0 0 17.168 4.026 12.333 -0.552 1914 7 20.797 3.793 0 0 20.797 3.794 17.460 0.714 1914 8 16.629 -0.337 0 0 16.716 -0.250 15.711 -0.997 1914 9 14.258 1.575 0 0 14.388 1.705 13.183 0.757 1914 10 10.942 2.686 0 0 11.077 2.821 11.306 3.308 1914 11 -2.134 -4.061 0 0 -1.816 -3.742 1.921 0.252 1914 12 -11.633 -7.074 0 0 -11.004 -6.445 -6.905 -2.089 1915 1 -11.621 -3.174 0 0 -10.893 -2.447 -8.946 -0.242 1915 2 -4.971 2.569 0 0 -4.433 3.107 -3.460 4.337 1915 3 -3.692 -0.721 0 0 -3.343 -0.372 -2.927 0.301 1915 4 9.807 6.370 0 0 10.106 6.670 8.054 4.875 1915 5 8.876 0.248 0 0 9.095 0.467 6.415 -1.956 1915 6 14.275 1.133 0 0 14.331 1.189 10.066 -2.819 1915 7 17.308 0.305 0 0 17.309 0.305 14.530 -2.216 1915 8 16.361 -0.604 0 0 16.448 -0.517 14.464 -2.245 1915 9 14.605 1.922 0 0 14.734 2.052 12.633 0.207 1915 10 7.940 -0.316 0 0 8.075 -0.181 8.764 0.765 1915 11 0.078 -1.848 0 0 0.397 -1.530 3.113 1.444 1915 12 -7.674 -3.115 0 0 -7.046 -2.487 -3.821 0.995 1916 1 -12.698 -4.252 0 0 -11.971 -3.524 -9.029 -0.326 1916 2 -14.250 -6.709 0 0 -13.712 -6.171 -10.796 -2.999 1916 3 -7.660 -4.689 0 0 -7.311 -4.340 -6.879 -3.650 1916 4 3.790 0.354 0 0 4.090 0.653 3.314 0.135 1916 5 11.094 2.465 0 0 11.313 2.685 7.366 -1.005 1916 6 14.293 1.151 0 0 14.350 1.208 10.206 -2.679 1916 7 24.610 7.606 0 0 24.610 7.607 19.864 3.118 1916 8 20.887 3.922 0 0 20.974 4.008 17.887 1.178 1916 9 12.792 0.109 0 0 12.921 0.238 11.009 -1.417 1916 10 6.097 -2.159 0 0 6.232 -2.024 7.589 -0.410 1916 11 -2.770 -4.696 0 0 -2.452 -4.378 1.125 -0.544 1916 12 -11.797 -7.238 0 0 -11.168 -6.609 -8.161 -3.345 1917 1 -13.072 -4.625 0 4 -14.024 -5.577 -11.582 -2.878 1917 2 -15.765 -8.224 0 0 -16.469 -8.928 -14.235 -6.438 1917 3 -3.687 -0.716 0 0 -4.144 -1.172 -4.098 -0.870 1917 4 2.265 -1.171 0 0 1.873 -1.563 0.939 -2.240 1917 5 8.895 0.267 0 0 8.608 -0.020 5.737 -2.634 1917 6 14.223 1.081 0 0 14.150 1.008 9.669 -3.216 1917 7 20.564 3.561 0 0 20.563 3.560 16.870 0.124 1917 8 17.194 0.228 0 0 17.080 0.114 14.750 -1.959 1917 9 13.739 1.056 0 0 13.569 0.886 11.685 -0.741 1917 10 1.508 -6.748 0 0 1.331 -6.924 3.517 -4.482 1917 11 1.768 -0.158 0 0 1.352 -0.575 3.415 1.745 1917 12 -13.301 -8.742 0 0 -14.124 -9.565 -10.325 -5.509 1918 1 -16.836 -8.389 0 0 -17.788 -9.342 -13.460 -4.757 1918 2 -11.322 -3.781 0 0 -12.026 -4.485 -10.343 -2.545 1918 3 0.495 3.467 0 0 0.039 3.010 -0.526 2.703 1918 4 5.572 2.136 0 0 5.180 1.744 3.059 -0.120 1918 5 12.508 3.880 0 0 12.221 3.593 8.138 -0.233 1918 6 16.440 3.298 0 0 16.366 3.224 11.286 -1.599 1918 7 18.726 1.723 0 0 18.725 1.722 15.871 -0.876 1918 8 19.179 2.213 0 0 19.065 2.100 16.859 0.151 1918 9 10.072 -2.611 0 0 9.902 -2.781 8.530 -3.896 1918 10 7.787 -0.469 0 0 7.610 -0.645 8.704 0.705 1918 11 1.357 -0.570 0 0 0.940 -0.986 4.329 2.660 1918 12 -4.950 -0.391 0 0 -5.772 -1.213 -1.921 2.895 1919 1 -6.302 2.144 0 0 -7.255 1.192 -4.283 4.421 1919 2 -8.247 -0.707 1 0 NaN NaN -5.165 2.632 1919 3 -3.025 -0.054 0 0 -3.482 -0.510 -2.348 0.880 1919 4 3.831 0.394 1 0 NaN NaN 3.714 0.534 1919 5 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15.330 2.188 10.795 -2.090 1924 7 18.052 1.048 0 0 18.051 1.047 14.993 -1.753 1924 8 15.937 -1.028 0 0 15.824 -1.142 15.470 -1.238 1924 9 NaN NaN NaN NaN NaN NaN 10.583 -1.843 1924 10 9.382 1.126 0 0 9.206 0.950 11.316 3.317 1924 11 4.804 2.878 0 0 4.388 2.461 1.808 0.139 1924 12 NaN NaN NaN NaN NaN NaN -10.024 -5.208 1925 1 NaN NaN NaN NaN NaN NaN -8.504 0.199 1925 2 NaN NaN NaN NaN NaN NaN -7.293 0.505 1925 3 NaN NaN NaN NaN NaN NaN -2.881 0.347 1925 4 NaN NaN NaN NaN NaN NaN 5.715 2.535 1925 5 NaN NaN NaN NaN NaN NaN 6.418 -1.953 1925 6 NaN NaN NaN NaN NaN NaN 12.968 0.083 1925 7 NaN NaN NaN NaN NaN NaN 16.280 -0.466 1925 8 NaN NaN NaN NaN NaN NaN 17.962 1.253 1925 9 NaN NaN NaN NaN NaN NaN 12.916 0.490 1925 10 NaN NaN NaN NaN NaN NaN 3.738 -4.261 1925 11 NaN NaN NaN NaN NaN NaN 1.241 -0.428