% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37857 % Primary Name: GRASS LAKE % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.23330 +/- 0.00005 % Longitude: -84.20000 +/- 0.00005 % Elevation (m): 301.45 +/- 0.15 % # of Months: 112 % % Alternate Names: Missing Station ID - 203379 % % IDs: coop - 203379 % ghcnd - USC00203379 % ncdc - 30015107 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6f47a54c801d98e001d723db05f49ded % Raw Data Hash: be0fe8759c2035ca64eb811b0c64b830 % Adj Data Hash: 431d07af2d626a5c0c67baa9c1069028 % % 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 1904 11 NaN NaN NaN NaN NaN NaN 4.192 0.382 1904 12 NaN NaN NaN NaN NaN NaN -5.603 -3.020 1905 1 NaN NaN NaN NaN NaN NaN -8.163 -2.602 1905 2 NaN NaN NaN NaN NaN NaN -9.683 -5.385 1905 3 NaN NaN NaN NaN NaN NaN 2.556 1.522 1905 4 NaN NaN NaN NaN NaN NaN 7.555 -0.648 1905 5 NaN NaN NaN NaN NaN NaN 13.641 -0.923 1905 6 NaN NaN NaN NaN NaN NaN 19.393 -0.407 1905 7 NaN NaN NaN NaN NaN NaN 20.957 -0.999 1905 8 NaN NaN NaN NaN NaN NaN 20.820 -0.116 1905 9 NaN NaN NaN NaN NaN NaN 17.658 0.716 1905 10 NaN NaN NaN NaN NaN NaN 10.545 -0.073 1905 11 2.837 -0.843 1 0 NaN NaN 2.693 -1.117 1905 12 -1.678 1.035 0 0 -1.678 1.035 -1.721 0.863 1906 1 -0.818 4.872 0 0 -0.818 4.872 -0.971 4.590 1906 2 -5.081 -0.653 0 0 -5.081 -0.653 -5.155 -0.857 1906 3 -3.992 -4.896 0 0 -3.992 -4.896 -2.627 -3.661 1906 4 8.515 0.442 0 0 8.515 0.442 9.420 1.217 1906 5 13.200 -1.234 0 0 13.200 -1.234 14.384 -0.181 1906 6 19.259 -0.411 0 0 19.259 -0.411 19.242 -0.558 1906 7 21.075 -0.751 0 0 21.075 -0.751 20.737 -1.219 1906 8 22.334 1.528 0 0 22.334 1.528 22.366 1.430 1906 9 19.983 3.171 0 0 19.983 3.171 19.306 2.363 1906 10 9.505 -0.983 0 0 9.505 -0.983 9.781 -0.837 1906 11 3.339 -0.341 0 0 3.339 -0.341 3.647 -0.163 1906 12 -2.685 0.028 0 0 -2.685 0.028 -2.789 -0.206 1907 1 -4.226 1.465 0 0 -4.226 1.465 -4.842 0.719 1907 2 -7.352 -2.923 0 0 -7.352 -2.923 -6.621 -2.322 1907 3 3.901 2.997 0 0 3.901 2.997 3.868 2.833 1907 4 3.500 -4.573 0 0 3.500 -4.573 3.636 -4.567 1907 5 10.586 -3.848 0 0 10.586 -3.848 10.259 -4.305 1907 6 18.172 -1.498 1 0 NaN NaN 18.130 -1.670 1907 7 21.177 -0.648 0 0 21.177 -0.648 20.886 -1.070 1907 8 19.216 -1.590 0 0 19.216 -1.590 19.215 -1.721 1907 9 16.107 -0.705 0 0 16.107 -0.705 16.224 -0.718 1907 10 8.179 -2.309 0 0 8.179 -2.309 8.322 -2.296 1907 11 1.828 -1.852 0 0 1.828 -1.852 2.713 -1.097 1907 12 -2.337 0.376 0 0 -2.337 0.376 -2.129 0.454 1908 1 -4.235 1.455 0 0 -4.235 1.455 -4.419 1.141 1908 2 -6.126 -1.697 0 0 -6.126 -1.697 -6.458 -2.160 1908 3 2.287 1.382 0 0 2.287 1.382 2.067 1.032 1908 4 7.572 -0.501 0 0 7.572 -0.501 8.128 -0.075 1908 5 14.772 0.338 0 0 14.772 0.338 14.630 0.066 1908 6 19.683 0.013 0 0 19.683 0.013 19.579 -0.221 1908 7 22.095 0.269 0 0 22.095 0.269 22.076 0.121 1908 8 20.237 -0.568 0 0 20.237 -0.568 19.979 -0.957 1908 9 19.630 2.818 0 0 19.630 2.818 19.485 2.543 1908 10 10.966 0.478 0 0 10.966 0.478 11.378 0.760 1908 11 4.122 0.442 0 0 4.122 0.442 4.362 0.552 1908 12 -2.550 0.164 0 0 -2.550 0.164 -2.662 -0.079 1909 1 -3.302 2.389 0 0 -3.302 2.389 -3.302 2.258 1909 2 -2.330 2.099 0 0 -2.330 2.099 -2.680 1.618 1909 3 -0.129 -1.033 0 0 -0.129 -1.033 -0.012 -1.046 1909 4 6.004 -2.069 1 0 NaN NaN 6.497 -1.706 1909 5 13.065 -1.370 0 0 13.065 -1.370 13.009 -1.555 1909 6 19.697 0.027 0 0 19.697 0.027 19.406 -0.394 1909 7 20.748 -1.077 0 0 20.748 -1.077 20.806 -1.149 1909 8 21.695 0.890 0 0 21.695 0.890 21.368 0.432 1909 9 16.050 -0.762 0 0 16.050 -0.762 15.710 -1.232 1909 10 7.879 -2.609 0 0 7.879 -2.609 8.114 -2.504 1909 11 6.874 3.194 0 0 6.874 3.194 7.235 3.425 1909 12 -5.479 -2.766 0 0 -5.479 -2.766 -5.807 -3.224 1910 1 -4.942 0.749 0 0 -4.942 0.749 -5.453 0.108 1910 2 -5.925 -1.497 0 0 -5.925 -1.497 -5.993 -1.694 1910 3 NaN NaN NaN NaN NaN NaN 7.041 6.007 1910 4 9.452 1.379 0 0 9.452 1.379 9.994 1.791 1910 5 11.394 -3.041 0 0 11.394 -3.041 11.345 -3.219 1910 6 18.028 -1.641 0 0 18.028 -1.641 18.729 -1.071 1910 7 22.856 1.030 0 0 22.856 1.030 22.431 0.476 1910 8 21.335 0.530 0 0 21.335 0.530 20.458 -0.478 1910 9 16.463 -0.349 0 0 16.463 -0.349 16.575 -0.367 1910 10 12.197 1.709 0 0 12.197 1.709 12.189 1.571 1910 11 0.975 -2.705 0 0 0.975 -2.705 1.728 -2.082 1910 12 -6.388 -3.675 0 0 -6.388 -3.675 -5.317 -2.734 1911 1 -4.052 1.639 0 0 -4.052 1.639 -3.864 1.696 1911 2 -2.550 1.878 0 0 -2.550 1.878 -2.556 1.743 1911 3 -0.068 -0.972 0 0 -0.068 -0.972 0.877 -0.158 1911 4 5.398 -2.674 0 0 5.398 -2.674 7.346 -0.857 1911 5 17.637 3.203 0 0 17.637 3.203 18.000 3.435 1911 6 19.947 0.277 0 0 19.947 0.277 20.920 1.120 1911 7 22.323 0.498 0 0 22.323 0.498 22.324 0.368 1911 8 21.055 0.249 0 0 21.055 0.249 20.451 -0.485 1911 9 17.860 1.048 0 0 17.860 1.048 17.211 0.268 1911 10 9.208 -1.280 0 0 9.208 -1.280 9.659 -0.959 1911 11 0.760 -2.920 0 0 0.760 -2.920 1.664 -2.146 1911 12 -0.394 2.320 0 0 -0.394 2.320 -0.532 2.051 1912 1 -12.610 -6.920 0 0 -12.610 -6.920 -12.294 -6.733 1912 2 -9.295 -4.866 0 0 -9.295 -4.866 -8.727 -4.429 1912 3 -4.954 -5.858 0 0 -4.954 -5.858 -4.500 -5.534 1912 4 7.854 -0.219 0 0 7.854 -0.219 8.586 0.383 1912 5 14.450 0.016 0 0 14.450 0.016 14.766 0.202 1912 6 18.919 -0.750 0 0 18.919 -0.750 18.297 -1.503 1912 7 22.486 0.660 0 0 22.486 0.660 21.295 -0.661 1912 8 20.084 -0.722 0 0 20.084 -0.722 19.106 -1.830 1912 9 NaN NaN NaN NaN NaN NaN 18.165 1.223 1912 10 12.010 1.523 0 0 12.010 1.523 11.274 0.656 1912 11 4.196 0.516 0 0 4.196 0.516 4.549 0.739 1912 12 -0.971 1.742 0 0 -0.971 1.742 -0.795 1.788 1913 1 -2.098 3.593 0 0 -2.098 3.593 -2.878 2.683 1913 2 NaN NaN NaN NaN NaN NaN -6.452 -2.154 1913 3 0.117 -0.788 0 0 0.117 -0.788 0.308 -0.726 1913 4 8.097 0.024 0 0 8.097 0.024 8.791 0.588 1913 5 14.292 -0.142 0 0 14.292 -0.142 13.823 -0.742 1913 6 20.867 1.197 0 0 20.867 1.197 20.657 0.858 1913 7 22.683 0.858 0 0 22.683 0.858 22.267 0.311 1913 8 21.987 1.182 0 0 21.987 1.182 21.706 0.770 1913 9 17.103 0.291 1 0 NaN NaN 17.147 0.205 1913 10 10.948 0.460 0 0 10.948 0.460 10.901 0.283 1913 11 5.120 1.440 0 0 5.120 1.440 6.374 2.564 1913 12 0.044 2.757 0 0 0.044 2.757 0.425 3.008 1914 1 -2.761 2.930 0 0 -2.761 2.930 -2.612 2.948 1914 2 -10.075 -5.647 0 0 -10.075 -5.647 -10.016 -5.718 1914 3 -1.028 -1.933 0 0 -1.028 -1.933 -0.124 -1.159 1914 4 6.622 -1.451 0 0 6.622 -1.451 7.841 -0.362 1914 5 14.760 0.326 0 0 14.760 0.326 15.107 0.543 1914 6 19.523 -0.146 0 0 19.523 -0.146 19.908 0.108 1914 7 22.541 0.716 0 0 22.541 0.716 22.443 0.488 1914 8 22.276 1.470 0 0 22.276 1.470 20.953 0.017 1914 9 17.193 0.381 0 0 17.193 0.381 16.550 -0.392 1914 10 12.539 2.051 0 0 12.539 2.051 13.036 2.418 1914 11 3.122 -0.558 0 0 3.122 -0.558 4.163 0.353 1914 12 -6.165 -3.451 0 0 -6.165 -3.451 -5.379 -2.796 1915 1 -7.284 -1.593 0 0 -7.284 -1.593 -6.454 -0.893 1915 2 -1.581 2.847 0 0 -1.581 2.847 -1.408 2.890 1915 3 NaN NaN NaN NaN NaN NaN -0.821 -1.856 1915 4 10.255 2.182 0 0 10.255 2.182 11.685 3.482 1915 5 11.037 -3.397 0 0 11.037 -3.397 11.504 -3.061 1915 6 15.757 -3.912 1 0 NaN NaN 16.969 -2.830 1915 7 NaN NaN NaN NaN NaN NaN 20.268 -1.688 1915 8 NaN NaN NaN NaN NaN NaN 17.903 -3.033 1915 9 NaN NaN NaN NaN NaN NaN 17.970 1.028 1915 10 NaN NaN NaN NaN NaN NaN 11.332 0.714 1915 11 NaN NaN NaN NaN NaN NaN 5.366 1.556 1915 12 NaN NaN NaN NaN NaN NaN -3.993 -1.410 1916 1 NaN NaN NaN NaN NaN NaN -2.363 3.197 1916 2 NaN NaN NaN NaN NaN NaN -6.615 -2.317 1916 3 NaN NaN NaN NaN NaN NaN -2.053 -3.088 1916 4 NaN NaN NaN NaN NaN NaN 8.199 -0.004 1916 5 NaN NaN NaN NaN NaN NaN 14.046 -0.518 1916 6 NaN NaN NaN NaN NaN NaN 16.663 -3.136