% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39337 % Primary Name: MT PLEASANT UNIV % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.58580 +/- 0.00005 % Longitude: -84.76970 +/- 0.00005 % Elevation (m): 242.60 +/- 0.05 % # of Months: 1249 % % Alternate Names: MT PLEASANT % MT PLEASANT COLLEGE % % IDs: coop - 205662 % ghcnd - USC00205662 % ghcnm - 42500205662 % ncdc - 20010219 % nws - MTPM4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % US Historical Climatology Network - Monthly % Global Historical Climatology Network - Monthly v3 % Multi-network Metadata System % % Site Hash: 6cc413a9f900134483f4b443ccf8634b % Raw Data Hash: 756f38d0aa122ee5493774c2b74d3b30 % Adj Data Hash: 38c83e79b62f97d5da98547747ffac6a % % 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 8 NaN NaN NaN NaN NaN NaN 17.807 -1.224 1894 9 NaN NaN NaN NaN NaN NaN 15.715 0.985 1894 10 NaN NaN NaN NaN NaN NaN 8.711 -0.115 1894 11 NaN NaN NaN NaN NaN NaN -0.817 -2.855 1894 12 NaN NaN NaN NaN NaN NaN -2.983 1.641 1895 1 NaN NaN NaN NaN NaN NaN -9.722 -2.016 1895 2 NaN NaN NaN NaN NaN NaN -10.802 -3.800 1895 3 NaN NaN NaN NaN NaN NaN -5.831 -4.063 1895 4 NaN NaN NaN NaN NaN NaN 7.076 1.082 1895 5 NaN NaN NaN NaN NaN NaN 13.317 0.650 1895 6 NaN NaN NaN NaN NaN NaN 19.465 1.580 1895 7 NaN NaN NaN NaN NaN NaN 18.635 -1.489 1895 8 16.593 -3.777 1 0 NaN NaN 18.340 -0.692 1895 9 17.611 1.542 0 0 17.806 1.737 16.386 1.656 1895 10 6.222 -3.942 0 0 6.323 -3.842 5.362 -3.463 1895 11 0.056 -3.322 0 0 -0.032 -3.410 0.345 -1.694 1895 12 -2.333 0.951 0 0 -2.429 0.856 -4.365 0.258 1896 1 -6.626 -0.258 0 0 -6.505 -0.138 -6.702 1.004 1896 2 -4.722 0.941 0 0 -4.428 1.236 -6.909 0.094 1896 3 -3.056 -2.626 0 0 -2.798 -2.368 -4.984 -3.215 1896 4 9.352 2.018 0 0 9.480 2.146 8.853 2.858 1896 5 17.204 3.198 0 0 17.249 3.243 16.246 3.579 1896 6 19.291 0.066 0 0 19.296 0.071 18.371 0.485 1896 7 21.056 -0.407 0 0 21.069 -0.394 19.894 -0.230 1896 8 20.556 0.185 0 0 20.666 0.295 19.076 0.044 1896 9 13.556 -2.513 0 0 13.750 -2.319 12.232 -2.498 1896 10 7.333 -2.831 0 0 7.434 -2.730 6.560 -2.265 1896 11 2.111 -1.267 0 0 2.023 -1.354 1.290 -0.749 1896 12 -2.889 0.396 0 0 -2.984 0.300 -4.446 0.178 1897 1 -5.667 0.701 0 0 -5.547 0.821 -7.267 0.439 1897 2 -4.389 1.275 0 0 -4.095 1.569 -6.025 0.978 1897 3 -1.722 -1.293 0 0 -1.464 -1.035 -3.175 -1.406 1897 4 6.167 -1.167 0 0 6.295 -1.039 5.146 -0.849 1897 5 12.056 -1.950 0 0 12.101 -1.905 10.470 -2.197 1897 6 17.722 -1.503 0 0 17.727 -1.498 15.966 -1.920 1897 7 23.111 1.648 0 0 23.124 1.661 21.736 1.612 1897 8 18.556 -1.815 0 0 18.666 -1.705 16.940 -2.091 1897 9 17.667 1.598 0 0 17.861 1.792 16.172 1.442 1897 10 10.778 0.613 0 0 10.878 0.714 10.420 1.594 1897 11 1.222 -2.156 0 0 1.135 -2.243 0.832 -1.207 1897 12 -4.333 -1.049 0 0 -4.429 -1.144 -5.677 -1.053 1898 1 -5.389 0.978 0 0 -5.269 1.098 -6.309 1.397 1898 2 -6.889 -1.225 0 0 -6.595 -0.931 -6.929 0.074 1898 3 0.278 0.707 0 0 0.536 0.965 0.325 2.093 1898 4 5.611 -1.723 0 0 5.739 -1.595 5.235 -0.760 1898 5 13.056 -0.950 0 0 13.101 -0.905 12.189 -0.478 1898 6 19.556 0.331 0 0 19.561 0.336 18.365 0.479 1898 7 NaN NaN NaN NaN NaN NaN 20.199 0.075 1898 8 20.778 0.407 0 0 20.888 0.518 18.425 -0.606 1898 9 17.167 1.098 0 0 17.361 1.292 15.990 1.260 1898 10 10.278 0.113 0 0 10.378 0.214 8.877 0.051 1898 11 2.389 -0.989 0 0 2.301 -1.077 1.294 -0.744 1898 12 -5.278 -1.993 0 0 -5.373 -2.089 -6.444 -1.821 1899 1 -6.778 -0.410 0 0 -6.658 -0.290 -8.555 -0.849 1899 2 -10.000 -4.336 0 0 -9.706 -4.042 -11.839 -4.836 1899 3 -5.278 -4.848 0 0 -5.020 -4.590 -6.122 -4.354 1899 4 7.278 -0.056 0 0 7.406 0.072 7.616 1.621 1899 5 14.222 0.216 0 0 14.267 0.261 12.823 0.156 1899 6 20.167 0.942 0 0 20.172 0.947 18.363 0.477 1899 7 20.944 -0.519 0 0 20.958 -0.506 19.087 -1.037 1899 8 20.833 0.463 0 0 20.943 0.573 19.488 0.457 1899 9 NaN NaN NaN NaN NaN NaN 12.621 -2.109 1899 10 11.000 0.835 0 0 11.101 0.936 10.793 1.968 1899 11 4.667 1.289 0 0 4.579 1.201 4.125 2.086 1899 12 -1.500 1.785 0 0 -1.596 1.689 -4.596 0.028 1900 1 -3.500 2.867 0 0 -3.380 2.987 -5.524 2.182 1900 2 -7.833 -2.170 0 0 -7.539 -1.875 -9.929 -2.926 1900 3 -4.556 -4.126 0 0 -4.298 -3.868 -5.945 -4.177 1900 4 8.056 0.722 0 0 8.184 0.850 7.709 1.714 1900 5 14.167 0.161 0 0 14.212 0.206 12.911 0.244 1900 6 17.389 -1.836 0 0 17.394 -1.831 17.144 -0.742 1900 7 19.333 -2.130 0 0 19.346 -2.117 18.920 -1.204 1900 8 22.444 2.074 0 0 22.555 2.184 21.588 2.557 1900 9 17.833 1.764 0 0 18.028 1.959 16.420 1.690 1900 10 13.111 2.947 0 0 13.212 3.047 13.033 4.208 1900 11 2.556 -0.822 0 0 2.468 -0.910 1.222 -0.817 1900 12 -2.833 0.451 0 0 -2.929 0.356 -4.388 0.236 1901 1 -6.056 0.312 0 0 -5.936 0.432 -7.433 0.273 1901 2 -10.000 -4.336 0 0 -9.706 -4.042 -10.671 -3.669 1901 3 -1.611 -1.181 0 0 -1.353 -0.924 -3.321 -1.552 1901 4 8.667 1.333 0 0 8.795 1.461 7.487 1.492 1901 5 11.028 -2.978 0 0 11.073 -2.933 12.090 -0.577 1901 6 19.889 0.664 0 0 19.894 0.669 18.778 0.892 1901 7 23.444 1.981 0 0 23.458 1.994 22.186 2.062 1901 8 18.667 -1.704 0 0 18.777 -1.594 18.454 -0.578 1901 9 16.222 0.153 0 0 16.417 0.348 14.696 -0.034 1901 10 9.611 -0.553 0 0 9.712 -0.453 9.168 0.343 1901 11 0.389 -2.989 0 0 0.301 -3.077 0.360 -1.679 1901 12 -6.500 -3.215 0 0 -6.596 -3.311 -6.688 -2.064 1902 1 -5.000 1.367 0 0 -4.880 1.487 -7.005 0.701 1902 2 NaN NaN NaN NaN NaN NaN -8.005 -1.002 1902 3 3.889 4.319 0 0 4.147 4.576 1.844 3.612 1902 4 6.611 -0.723 0 0 6.739 -0.595 6.167 0.172 1902 5 14.333 0.327 0 0 14.378 0.372 12.638 -0.029 1902 6 16.833 -2.392 0 0 16.838 -2.387 15.225 -2.661 1902 7 21.667 0.204 0 0 21.680 0.217 20.159 0.035 1902 8 20.704 0.333 0 0 20.814 0.443 16.721 -2.311 1902 9 15.167 -0.902 0 0 15.361 -0.708 13.924 -0.806 1902 10 9.000 -1.165 0 0 9.101 -1.064 8.200 -0.626 1902 11 7.222 3.844 0 0 7.135 3.757 5.667 3.628 1902 12 -4.278 -0.993 0 0 -4.373 -1.089 -5.778 -1.154 1903 1 -6.389 -0.022 0 0 -6.269 0.098 -7.279 0.427 1903 2 -6.167 -0.503 0 0 -5.872 -0.209 -7.515 -0.513 1903 3 3.611 4.041 0 0 3.869 4.299 2.561 4.330 1903 4 9.056 1.722 0 0 9.184 1.850 6.296 0.301 1903 5 18.674 4.668 0 0 18.719 4.713 13.446 0.779 1903 6 18.241 -0.984 0 0 18.246 -0.979 15.462 -2.424 1903 7 23.556 2.093 0 0 23.569 2.106 19.495 -0.629 1903 8 NaN NaN NaN NaN NaN NaN 16.336 -2.695 1903 9 NaN NaN NaN NaN NaN NaN 14.358 -0.372 1903 10 NaN NaN NaN NaN NaN NaN 9.184 0.358 1903 11 1.833 -1.544 0 0 1.746 -1.632 0.012 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0 0 20.137 -1.326 19.352 -0.772 1907 8 16.771 -3.599 0 0 16.615 -3.755 17.445 -1.586 1907 9 15.000 -1.069 0 0 14.878 -1.192 14.179 -0.551 1907 10 6.333 -3.831 0 0 6.556 -3.608 6.622 -2.204 1907 11 1.778 -1.600 0 0 2.183 -1.195 1.117 -0.921 1907 12 -3.944 -0.660 0 0 -3.673 -0.389 -4.440 0.183 1908 1 -6.556 -0.188 0 0 -6.362 0.005 -6.814 0.892 1908 2 -8.389 -2.725 0 0 -8.026 -2.362 -8.868 -1.866 1908 3 -0.833 -0.404 0 0 -0.328 0.102 -1.784 -0.015 1908 4 5.667 -1.667 0 0 6.126 -1.208 6.053 0.058 1908 5 13.056 -0.950 0 0 13.456 -0.550 12.885 0.218 1908 6 18.778 -0.447 0 0 19.137 -0.088 18.136 0.250 1908 7 NaN NaN NaN NaN NaN NaN 20.403 0.279 1908 8 20.222 -0.148 0 0 20.067 -0.304 18.339 -0.692 1908 9 20.167 4.098 0 0 20.044 3.975 17.882 3.152 1908 10 11.389 1.224 0 0 11.612 1.447 10.357 1.532 1908 11 3.167 -0.211 0 0 3.572 0.194 2.876 0.838 1908 12 -4.167 -0.882 0 0 -3.896 -0.611 -5.429 -0.806 1909 1 -4.389 1.978 0 0 -4.195 2.172 -6.243 1.463 1909 2 -2.278 3.386 0 0 -1.915 3.749 -5.310 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-5.324 1914 3 NaN NaN NaN NaN NaN NaN -3.346 -1.577 1914 4 NaN NaN NaN NaN NaN NaN 5.375 -0.620 1914 5 NaN NaN NaN NaN NaN NaN 13.669 1.002 1914 6 NaN NaN NaN NaN NaN NaN 17.113 -0.773 1914 7 NaN NaN NaN NaN NaN NaN 20.363 0.239 1914 8 NaN NaN NaN NaN NaN NaN 18.778 -0.253 1914 9 NaN NaN NaN NaN NaN NaN 14.594 -0.137 1914 10 NaN NaN NaN NaN NaN NaN 11.788 2.962 1914 11 NaN NaN NaN NaN NaN NaN 2.097 0.058 1914 12 NaN NaN NaN NaN NaN NaN -7.071 -2.447 1915 1 NaN NaN NaN NaN NaN NaN -8.087 -0.381 1915 2 NaN NaN NaN NaN NaN NaN -4.608 2.395 1915 3 NaN NaN NaN NaN NaN NaN -2.999 -1.230 1915 4 NaN NaN NaN NaN NaN NaN 9.608 3.613 1915 5 NaN NaN NaN NaN NaN NaN 10.070 -2.597 1915 6 NaN NaN NaN NaN NaN NaN 14.955 -2.931 1915 7 NaN NaN NaN NaN NaN NaN 18.339 -1.785 1915 8 NaN NaN NaN NaN NaN NaN 16.307 -2.724 1915 9 NaN NaN NaN NaN NaN NaN 15.263 0.533 1915 10 NaN NaN NaN NaN NaN NaN 9.466 0.640 1915 11 NaN NaN NaN NaN NaN NaN 3.338 1.299 1915 12 NaN NaN NaN NaN NaN NaN -5.735 -1.111 1916 1 NaN NaN NaN NaN NaN NaN -4.998 2.708 1916 2 NaN NaN NaN NaN NaN NaN -9.245 -2.243 1916 3 NaN NaN NaN NaN NaN NaN -5.677 -3.908 1916 4 NaN NaN NaN NaN NaN NaN 5.967 -0.028 1916 5 NaN NaN NaN NaN NaN NaN 11.646 -1.021 1916 6 NaN NaN NaN NaN NaN NaN 14.962 -2.924 1916 7 NaN NaN NaN NaN NaN NaN 23.183 3.059 1916 8 NaN NaN NaN NaN NaN NaN 20.237 1.206 1916 9 NaN NaN NaN NaN NaN NaN 14.129 -0.601 1916 10 NaN NaN NaN NaN NaN NaN 8.325 -0.501 1916 11 3.222 -0.156 0 2 2.937 -0.441 1.852 -0.186 1916 12 -5.722 -2.437 0 0 -5.898 -2.614 -7.360 -2.736 1917 1 -7.222 -0.855 0 0 -7.392 -1.025 -9.395 -1.689 1917 2 -9.778 -4.114 0 0 -10.167 -4.504 -13.004 -6.002 1917 3 0.611 1.041 0 0 0.061 0.491 -2.175 -0.406 1917 4 6.000 -1.334 0 0 5.560 -1.774 4.096 -1.899 1917 5 10.278 -3.728 0 0 10.011 -3.995 8.506 -4.161 1917 6 16.722 -2.503 0 0 16.474 -2.751 14.807 -3.079 1917 7 21.222 -0.241 0 0 20.963 -0.500 19.980 -0.144 1917 8 18.889 -1.481 0 0 18.714 -1.656 17.313 -1.718 1917 9 14.556 -1.513 0 0 14.413 -1.656 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16.972 2.966 0 0 17.363 3.357 16.090 3.423 1991 6 21.028 1.803 0 0 21.334 2.109 20.240 2.354 1991 7 21.500 0.037 0 0 21.819 0.356 20.452 0.328 1991 8 20.889 0.519 0 0 21.293 0.923 19.971 0.940 1991 9 14.667 -1.402 0 0 15.163 -0.906 13.792 -0.938 1991 10 10.389 0.224 0 0 10.868 0.703 9.631 0.806 1991 11 1.194 -2.183 0 0 1.481 -1.897 1.237 -0.802 1991 12 -1.889 1.396 0 0 -1.826 1.459 -3.610 1.014 1992 1 -4.167 2.201 0 1 -3.688 2.679 -5.221 2.486 1992 2 -2.750 2.914 0 0 -2.317 3.347 -4.364 2.639 1992 3 -1.361 -0.931 0 0 -0.888 -0.458 -1.969 -0.201 1992 4 4.972 -2.362 0 0 5.535 -1.799 4.966 -1.028 1992 5 13.333 -0.673 0 0 13.947 -0.059 12.713 0.046 1992 6 16.972 -2.253 0 0 17.580 -1.645 16.178 -1.708 1992 7 18.278 -3.185 0 0 18.868 -2.595 17.391 -2.733 1992 8 17.444 -2.926 0 0 18.014 -2.356 16.719 -2.312 1992 9 14.667 -1.402 0 0 15.204 -0.865 13.920 -0.810 1992 10 8.056 -2.109 0 0 8.577 -1.588 7.811 -1.015 1992 11 1.889 -1.489 0 0 2.426 -0.952 1.608 -0.431 1992 12 -1.556 1.729 0 0 -1.021 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19.700 0.475 0 0 19.671 0.446 18.157 0.271 2013 7 NaN NaN NaN NaN NaN NaN 20.533 0.409 2013 8 20.718 0.348 0 0 20.595 0.225 19.021 -0.011 2013 9 16.412 0.343 0 0 16.348 0.279 14.983 0.252 2013 10 4.117 -6.048 1 0 NaN NaN 9.904 1.079 2013 11 11.700 8.322 1 0 NaN NaN NaN NaN