% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38582 % Primary Name: ARMADA % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.83330 +/- 0.00005 % Longitude: -82.85000 +/- 0.00005 % Elevation (m): 208.84 +/- 21.68 % # of Months: 106 % % Alternate Names: Missing Station ID - 200233 % % IDs: coop - 200233 % ghcnd - USC00200233 % ncdc - 30015077 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 44a05a9c1d0737dd426c4b82f8f65641 % Raw Data Hash: 602341813dca45aaeb16b8928ae506b6 % Adj Data Hash: bd3820d82e745f073214586563559676 % % 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 1912 4 NaN NaN NaN NaN NaN NaN 8.024 0.219 1912 5 NaN NaN NaN NaN NaN NaN 14.541 0.441 1912 6 NaN NaN NaN NaN NaN NaN 18.248 -1.447 1912 7 NaN NaN NaN NaN NaN NaN 21.717 -0.488 1912 8 NaN NaN NaN NaN NaN NaN 19.219 -2.074 1912 9 NaN NaN NaN NaN NaN NaN 18.579 1.311 1912 10 NaN NaN NaN NaN NaN NaN 11.432 0.621 1912 11 NaN NaN NaN NaN NaN NaN 4.671 0.605 1912 12 NaN NaN NaN NaN NaN NaN -0.913 1.521 1913 1 NaN NaN NaN NaN NaN NaN -2.247 3.146 1913 2 NaN NaN NaN NaN NaN NaN -6.232 -2.043 1913 3 NaN NaN NaN NaN NaN NaN 0.648 -0.326 1913 4 7.483 0.339 0 0 8.061 0.918 8.341 0.535 1913 5 12.640 -0.797 0 0 13.011 -0.427 13.422 -0.678 1913 6 18.400 -0.632 0 0 18.640 -0.392 19.983 0.288 1913 7 20.281 -1.262 0 0 20.572 -0.972 22.203 -0.002 1913 8 19.626 -1.006 0 0 19.942 -0.689 21.605 0.312 1913 9 15.178 -1.428 0 0 15.471 -1.135 16.870 -0.398 1913 10 10.179 0.029 0 0 10.591 0.441 11.294 0.482 1913 11 4.607 1.203 0 0 5.210 1.807 5.888 1.822 1913 12 0.258 3.355 0 0 0.837 3.933 0.112 2.546 1914 1 -3.256 2.800 0 0 -2.866 3.190 -2.709 2.685 1914 2 -10.636 -5.784 0 0 -10.254 -5.402 -9.528 -5.339 1914 3 -0.896 -1.208 0 0 -0.336 -0.648 -0.104 -1.078 1914 4 6.778 -0.365 0 0 7.356 0.213 7.120 -0.685 1914 5 13.953 0.515 0 0 14.323 0.885 14.882 0.783 1914 6 18.238 -0.794 0 0 18.479 -0.554 19.557 -0.138 1914 7 20.666 -0.877 0 0 20.957 -0.586 22.108 -0.097 1914 8 19.721 -0.911 0 0 20.037 -0.594 21.093 -0.201 1914 9 14.997 -1.610 0 0 15.289 -1.317 16.618 -0.650 1914 10 11.800 1.651 0 0 12.212 2.063 12.958 2.147 1914 11 3.018 -0.385 0 0 3.622 0.218 4.072 0.007 1914 12 -5.832 -2.736 0 0 -5.254 -2.157 -5.423 -2.989 1915 1 -7.321 -1.266 0 0 -6.931 -0.875 -6.636 -1.242 1915 2 NaN NaN NaN NaN NaN NaN -1.923 2.266 1915 3 -1.124 -1.436 0 4 -1.282 -1.594 -0.699 -1.674 1915 4 10.201 3.057 1 0 NaN NaN 10.908 3.103 1915 5 10.621 -2.816 0 0 10.517 -2.921 11.219 -2.880 1915 6 15.940 -3.093 0 0 15.872 -3.161 16.994 -2.700 1915 7 20.113 -1.430 0 0 20.031 -1.512 20.702 -1.503 1915 8 19.322 -1.310 0 0 19.232 -1.399 18.762 -2.532 1915 9 17.754 1.148 1 0 NaN NaN 18.220 0.952 1915 10 10.058 -0.091 0 0 9.942 -0.207 11.385 0.573 1915 11 5.083 1.680 0 0 4.913 1.509 5.485 1.420 1915 12 -3.934 -0.837 0 0 -4.097 -1.001 -3.592 -1.158 1916 1 -2.011 4.045 0 0 -2.121 3.934 -1.809 3.584 1916 2 -7.516 -2.664 0 0 -7.623 -2.772 -6.795 -2.605 1916 3 -4.084 -4.396 0 0 -4.242 -4.554 -2.913 -3.887 1916 4 7.353 0.210 0 0 7.190 0.047 7.864 0.058 1916 5 13.160 -0.278 0 0 13.055 -0.382 13.661 -0.439 1916 6 16.592 -2.441 0 0 16.524 -2.509 17.129 -2.566 1916 7 24.680 3.137 0 0 24.598 3.054 24.968 2.762 1916 8 21.921 1.289 0 0 21.832 1.200 22.869 1.575 1916 9 NaN NaN NaN NaN NaN NaN 17.206 -0.062 1916 10 9.610 -0.540 0 0 9.493 -0.656 10.543 -0.268 1916 11 3.473 0.070 0 0 3.303 -0.100 4.402 0.337 1916 12 -4.860 -1.763 0 0 -5.023 -1.926 -4.578 -2.143 1917 1 -6.676 -0.620 0 0 -6.786 -0.730 -6.412 -1.019 1917 2 -9.622 -4.771 1 0 NaN NaN -8.576 -4.386 1917 3 1.121 0.809 0 0 0.963 0.651 1.553 0.579 1917 4 5.383 -1.761 0 0 5.220 -1.924 6.175 -1.631 1917 5 9.252 -4.186 0 0 9.147 -4.290 9.763 -4.337 1917 6 16.633 -2.400 0 0 16.565 -2.467 17.431 -2.264 1917 7 20.883 -0.660 0 0 20.801 -0.742 21.646 -0.559 1917 8 19.324 -1.308 0 0 19.235 -1.397 20.323 -0.971 1917 9 14.492 -2.115 0 0 14.409 -2.197 15.414 -1.854 1917 10 6.094 -4.056 0 0 5.977 -4.172 6.738 -4.074 1917 11 2.028 -1.376 0 0 1.857 -1.546 2.526 -1.540 1917 12 -7.847 -4.750 0 0 -8.010 -4.913 -7.242 -4.808 1918 1 -12.146 -6.091 0 0 -12.256 -6.201 -11.993 -6.599 1918 2 -6.214 -1.363 0 0 -6.322 -1.470 -5.545 -1.356 1918 3 2.205 1.893 0 0 2.047 1.735 3.020 2.046 1918 4 5.952 -1.192 0 0 5.789 -1.355 6.762 -1.043 1918 5 15.746 2.309 0 0 15.642 2.205 16.280 2.181 1918 6 17.557 -1.476 0 0 17.489 -1.544 18.580 -1.115 1918 7 20.242 -1.301 0 0 20.160 -1.383 21.013 -1.192 1918 8 22.265 1.633 0 0 22.175 1.544 23.152 1.858 1918 9 12.780 -3.826 0 0 12.697 -3.909 13.631 -3.637 1918 10 11.405 1.255 0 0 11.289 1.139 12.126 1.314 1918 11 3.834 0.431 0 0 3.664 0.261 5.132 1.066 1918 12 0.163 3.259 0 0 -0.000 3.096 0.565 3.000 1919 1 -1.789 4.267 0 0 -1.899 4.157 -1.973 3.421 1919 2 -2.711 2.141 0 0 -2.818 2.033 -2.819 1.371 1919 3 1.898 1.586 0 0 1.740 1.428 1.856 0.881 1919 4 6.927 -0.216 0 0 6.764 -0.379 7.330 -0.475 1919 5 12.282 -1.156 0 0 12.177 -1.260 12.382 -1.717 1919 6 22.179 3.147 0 0 22.112 3.079 22.785 3.091 1919 7 22.235 0.692 0 0 22.153 0.610 22.937 0.731 1919 8 20.370 -0.261 0 0 20.281 -0.351 20.368 -0.926 1919 9 17.687 1.080 0 0 17.604 0.998 18.331 1.063 1919 10 12.073 1.923 0 0 11.956 1.807 12.745 1.934 1919 11 3.066 -0.337 0 0 2.896 -0.507 3.504 -0.562 1919 12 -6.643 -3.547 0 0 -6.807 -3.710 -6.670 -4.235 1920 1 -10.771 -4.715 0 0 -10.881 -4.825 -10.338 -4.945 1920 2 -7.778 -2.926 0 0 -7.886 -3.034 -6.894 -2.705 1920 3 1.453 1.141 0 0 1.295 0.983 2.183 1.208 1920 4 4.380 -2.764 0 0 4.216 -2.927 4.851 -2.954 1920 5 11.508 -1.929 0 0 11.404 -2.034 12.232 -1.868 1920 6 19.177 0.144 0 0 19.109 0.076 19.890 0.195 1920 7 19.746 -1.797 1 0 NaN NaN 20.137 -2.068 1920 8 NaN NaN NaN NaN NaN NaN 20.373 -0.921 1920 9 17.115 0.509 0 0 17.032 0.426 18.247 0.979 1920 10 13.453 3.304 0 0 13.337 3.188 14.376 3.564 1920 11 NaN NaN NaN NaN NaN NaN 3.503 -0.563 1920 12 -0.347 2.750 0 0 -0.510 2.587 -0.734 1.701 1921 1 -1.629 4.427 0 0 -1.739 4.316 -2.041 3.352 1921 2 -2.302 2.550 0 0 -2.409 2.442 -2.128 2.062 1921 3 5.225 4.913 0 0 5.067 4.755 5.444 4.470 1921 4 10.735 3.592 0 0 10.572 3.429 11.247 3.442 1921 5 15.377 1.939 0 0 15.272 1.835 15.310 1.210 1921 6 20.540 1.508 0 0 20.472 1.440 21.325 1.630 1921 7 24.645 3.102 0 0 24.563 3.020 25.277 3.072 1921 8 19.428 -1.204 0 0 19.338 -1.293 20.500 -0.794 1921 9 NaN NaN NaN NaN NaN NaN 20.122 2.854 1921 10 9.137 -1.012 1 0 NaN NaN 11.007 0.195 1921 11 2.770 -0.634 0 0 2.600 -0.804 3.381 -0.684 1921 12 -2.198 0.898 0 0 -2.361 0.735 -2.141 0.294 1922 1 -5.926 0.130 0 0 -6.036 0.020 -6.216 -0.823 1922 2 -3.309 1.542 0 0 -3.417 1.435 -3.174 1.015 1922 3 1.131 0.819 1 0 NaN NaN 2.192 1.217 1922 4 7.577 0.433 0 0 7.414 0.270 8.422 0.616 1922 5 15.328 1.890 0 0 15.223 1.786 15.858 1.759 1922 6 18.614 -0.419 0 0 18.546 -0.486 19.810 0.115 1922 7 NaN NaN NaN NaN NaN NaN 21.642 -0.563 1922 8 NaN NaN NaN NaN NaN NaN 20.665 -0.629 1922 9 NaN NaN NaN NaN NaN NaN 18.679 1.411 1922 10 NaN NaN NaN NaN NaN NaN 11.954 1.142 1922 11 NaN NaN NaN NaN NaN NaN 5.524 1.458 1922 12 NaN NaN NaN NaN NaN NaN -3.135 -0.701 1923 1 NaN NaN NaN NaN NaN NaN -4.469 0.925 1923 2 NaN NaN NaN NaN NaN NaN -7.085 -2.895 1923 3 NaN NaN NaN NaN NaN NaN -1.088 -2.063 1923 4 NaN NaN NaN NaN NaN NaN 6.864 -0.941 1923 5 NaN NaN NaN NaN NaN NaN 11.852 -2.248 1923 6 NaN NaN NaN NaN NaN NaN 21.360 1.666