% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37965 % Primary Name: BANGOR % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.31670 +/- 0.00005 % Longitude: -86.11670 +/- 0.00005 % Elevation (m): 198.12 +/- 0.15 % # of Months: 126 % % Alternate Names: Missing Station ID - 200476 % % IDs: coop - 200476 % ghcnd - USC00200476 % ncdc - 30015079 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 0f7933861e565da08a0cb777ead53b67 % Raw Data Hash: 469bce9676e0c211625012b2e41e4244 % Adj Data Hash: 9dce309b947504ac5a1e20b7ad4cb7e3 % % 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 1923 5 NaN NaN NaN NaN NaN NaN 12.715 -1.850 1923 6 NaN NaN NaN NaN NaN NaN 21.399 1.599 1923 7 NaN NaN NaN NaN NaN NaN 21.758 -0.198 1923 8 NaN NaN NaN NaN NaN NaN 19.529 -1.406 1923 9 NaN NaN NaN NaN NaN NaN 16.984 0.042 1923 10 NaN NaN NaN NaN NaN NaN 9.441 -1.177 1923 11 NaN NaN NaN NaN NaN NaN 4.041 0.230 1923 12 NaN NaN NaN NaN NaN NaN 1.590 4.173 1924 1 NaN NaN NaN NaN NaN NaN -7.511 -1.950 1924 2 NaN NaN NaN NaN NaN NaN -5.622 -1.324 1924 3 NaN NaN NaN NaN NaN NaN -0.518 -1.553 1924 4 NaN NaN NaN NaN NaN NaN 7.759 -0.444 1924 5 10.162 -4.921 0 0 10.162 -4.921 10.425 -4.139 1924 6 17.927 -2.392 0 0 17.927 -2.392 18.133 -1.667 1924 7 20.112 -2.362 0 0 20.112 -2.362 19.805 -2.151 1924 8 19.452 -2.003 0 0 19.452 -2.003 19.627 -1.309 1924 9 14.178 -3.282 0 0 14.178 -3.282 14.201 -2.741 1924 10 8.573 -2.564 1 0 NaN NaN 12.865 2.247 1924 11 3.668 -0.661 0 0 3.668 -0.661 4.083 0.272 1924 12 -4.713 -2.649 0 0 -4.713 -2.649 -5.983 -3.400 1925 1 -6.606 -1.564 0 0 -6.606 -1.564 -7.337 -1.777 1925 2 NaN NaN NaN NaN NaN NaN -2.322 1.976 1925 3 2.865 1.311 0 0 2.865 1.311 2.078 1.043 1925 4 10.420 1.698 0 0 10.420 1.698 10.777 2.574 1925 5 11.961 -3.122 0 0 11.961 -3.122 11.588 -2.976 1925 6 20.387 0.069 0 0 20.387 0.069 21.192 1.392 1925 7 21.112 -1.362 0 0 21.112 -1.362 20.828 -1.128 1925 8 20.892 -0.562 0 0 20.892 -0.562 20.638 -0.298 1925 9 19.320 1.859 0 0 19.320 1.859 18.840 1.898 1925 10 6.115 -5.022 0 0 6.115 -5.022 5.826 -4.792 1925 11 2.622 -1.707 0 0 2.622 -1.707 2.375 -1.436 1925 12 -3.547 -1.482 0 0 -3.547 -1.482 -4.347 -1.764 1926 1 -3.515 1.527 0 0 -3.515 1.527 -4.962 0.598 1926 2 -2.448 1.331 0 0 -2.448 1.331 -4.296 0.003 1926 3 -2.442 -3.995 0 0 -2.442 -3.995 -2.862 -3.897 1926 4 4.299 -4.422 0 0 4.299 -4.422 4.518 -3.685 1926 5 15.327 0.244 0 0 15.327 0.244 14.006 -0.559 1926 6 16.545 -3.773 0 0 16.545 -3.773 16.701 -3.099 1926 7 NaN NaN NaN NaN NaN NaN 21.801 -0.155 1926 8 21.585 0.131 0 0 21.585 0.131 21.552 0.616 1926 9 17.187 -0.274 0 0 17.187 -0.274 16.374 -0.569 1926 10 10.607 -0.530 0 0 10.607 -0.530 9.781 -0.837 1926 11 3.047 -1.282 0 0 3.047 -1.282 2.665 -1.145 1926 12 -4.742 -2.677 0 0 -4.742 -2.677 -5.077 -2.494 1927 1 NaN NaN NaN NaN NaN NaN -5.886 -0.326 1927 2 0.355 4.135 0 0 0.355 4.135 -1.054 3.244 1927 3 4.570 3.017 0 0 4.570 3.017 3.534 2.499 1927 4 8.842 0.120 0 0 8.842 0.120 7.833 -0.370 1927 5 12.682 -2.401 0 0 12.682 -2.401 12.975 -1.590 1927 6 16.658 -3.660 0 0 16.658 -3.660 17.258 -2.542 1927 7 20.848 -1.626 0 0 20.848 -1.626 21.204 -0.752 1927 8 18.538 -2.916 1 0 NaN NaN 17.893 -3.043 1927 9 20.259 2.798 0 0 20.259 2.798 19.115 2.173 1927 10 13.135 1.999 0 0 13.135 1.999 12.693 2.075 1927 11 NaN NaN NaN NaN NaN NaN 5.655 1.844 1927 12 -1.243 0.822 0 0 -1.243 0.822 -2.986 -0.403 1928 1 -2.349 2.693 0 0 -2.349 2.693 -4.597 0.964 1928 2 -1.247 2.533 0 0 -1.247 2.533 -3.699 0.599 1928 3 2.797 1.244 0 0 2.797 1.244 0.268 -0.767 1928 4 6.605 -2.116 0 0 6.605 -2.116 5.983 -2.220 1928 5 14.192 -0.891 0 0 14.192 -0.891 13.699 -0.866 1928 6 16.205 -4.113 0 0 16.205 -4.113 16.359 -3.441 1928 7 21.278 -1.197 1 0 NaN NaN 21.653 -0.303 1928 8 NaN NaN NaN NaN NaN NaN 21.063 0.127 1928 9 16.911 -0.549 0 0 16.911 -0.549 14.864 -2.078 1928 10 NaN NaN NaN NaN NaN NaN 11.878 1.260 1928 11 7.521 3.192 1 0 NaN NaN 4.623 0.813 1928 12 NaN NaN NaN NaN NaN NaN -1.443 1.140 1929 1 NaN NaN NaN NaN NaN NaN -8.537 -2.976 1929 2 -5.657 -1.877 0 0 -5.657 -1.877 -7.415 -3.116 1929 3 6.073 4.519 0 0 6.073 4.519 4.574 3.539 1929 4 10.149 1.427 0 0 10.149 1.427 9.115 0.912 1929 5 12.848 -2.235 0 0 12.848 -2.235 12.379 -2.185 1929 6 18.200 -2.118 0 0 18.200 -2.118 17.829 -1.971 1929 7 22.545 0.071 0 0 22.545 0.071 21.841 -0.114 1929 8 20.556 -0.898 0 0 20.556 -0.898 19.387 -1.549 1929 9 17.800 0.339 0 0 17.800 0.339 17.086 0.144 1929 10 9.390 -1.746 0 0 9.390 -1.746 9.527 -1.091 1929 11 2.467 -1.862 0 0 2.467 -1.862 1.914 -1.897 1929 12 -2.856 -0.792 0 0 -2.856 -0.792 -4.011 -1.427 1930 1 -5.761 -0.719 0 0 -5.761 -0.719 -7.175 -1.615 1930 2 2.050 5.830 0 0 2.050 5.830 -0.187 4.111 1930 3 1.385 -0.168 0 0 1.385 -0.168 0.477 -0.557 1930 4 8.985 0.263 0 0 8.985 0.263 8.358 0.155 1930 5 15.889 0.806 0 0 15.889 0.806 14.856 0.291 1930 6 20.617 0.298 0 0 20.617 0.298 19.975 0.175 1930 7 23.644 1.169 0 0 23.644 1.169 22.482 0.526 1930 8 22.134 0.679 0 0 22.134 0.679 21.207 0.272 1930 9 18.610 1.149 0 0 18.610 1.149 18.279 1.337 1930 10 10.135 -1.001 0 0 10.135 -1.001 9.814 -0.804 1930 11 5.638 1.309 0 0 5.638 1.309 5.070 1.259 1930 12 -2.279 -0.214 0 0 -2.279 -0.214 -3.130 -0.547 1931 1 -1.513 3.529 0 0 -1.513 3.529 -2.862 2.699 1931 2 0.637 4.417 0 0 0.637 4.417 -0.508 3.790 1931 3 0.805 -0.748 0 0 0.805 -0.748 0.167 -0.867 1931 4 9.190 0.468 0 0 9.190 0.468 8.988 0.785 1931 5 13.550 -1.533 0 0 13.550 -1.533 13.303 -1.261 1931 6 21.393 1.075 0 0 21.393 1.075 20.973 1.173 1931 7 24.629 2.155 0 0 24.629 2.155 23.778 1.822 1931 8 22.503 1.049 0 0 22.503 1.049 21.475 0.540 1931 9 20.713 3.253 0 0 20.713 3.253 20.260 3.318 1931 10 12.113 0.976 0 0 12.113 0.976 13.079 2.460 1931 11 8.355 4.026 0 0 8.355 4.026 8.259 4.449 1931 12 1.816 3.881 0 0 1.816 3.881 1.201 3.785 1932 1 0.913 5.955 0 0 0.913 5.955 0.541 6.101 1932 2 -0.453 3.326 0 0 -0.453 3.326 -0.804 3.495 1932 3 -2.526 -4.079 0 0 -2.526 -4.079 -2.318 -3.353 1932 4 7.112 -1.610 0 0 7.112 -1.610 7.015 -1.188 1932 5 14.582 -0.501 0 0 14.582 -0.501 14.564 -0.000 1932 6 20.655 0.337 0 0 20.655 0.337 20.708 0.908 1932 7 21.894 -0.581 0 0 21.894 -0.581 21.944 -0.012 1932 8 21.727 0.273 0 0 21.727 0.273 21.203 0.267 1932 9 15.982 -1.479 0 0 15.982 -1.479 16.378 -0.564 1932 10 10.877 -0.259 0 0 10.877 -0.259 10.863 0.245 1932 11 1.915 -2.414 0 0 1.915 -2.414 1.887 -1.923 1932 12 -2.221 -0.156 0 0 -2.221 -0.156 -2.627 -0.044 1933 1 1.305 6.347 0 0 1.305 6.347 -0.051 5.510 1933 2 -2.646 1.133 0 0 -2.646 1.133 -4.420 -0.122 1933 3 1.444 -0.110 0 0 1.444 -0.110 0.395 -0.640 1933 4 9.492 0.770 0 0 9.492 0.770 8.481 0.278 1933 5 16.263 1.180 0 0 16.263 1.180 15.101 0.537 1933 6 23.538 3.220 0 0 23.538 3.220 22.904 3.104 1933 7 23.571 1.097 0 0 23.571 1.097 22.911 0.955 1933 8 20.561 -0.893 0 0 20.561 -0.893 20.117 -0.819 1933 9 19.480 2.020 0 0 19.480 2.020 19.350 2.408 1933 10 8.989 -2.148 0 0 8.989 -2.148 9.572 -1.046 1933 11 2.192 -2.137 0 0 2.192 -2.137 1.851 -1.960 1933 12 -1.223 0.842 0 0 -1.223 0.842 -2.761 -0.178 1934 1 NaN NaN NaN NaN NaN NaN -1.811 3.750 1934 2 -9.361 -5.581 0 0 -9.361 -5.581 -9.330 -5.031 1934 3 -2.620 -4.173 0 0 -2.620 -4.173 -1.764 -2.798 1934 4 5.158 -3.563 0 0 5.158 -3.563 7.018 -1.185 1934 5 15.880 0.797 0 0 15.880 0.797 16.628 2.064 1934 6 NaN NaN NaN NaN NaN NaN 23.088 3.288 1934 7 25.960 3.485 0 0 25.960 3.485 24.206 2.250 1934 8 19.617 -1.837 0 0 19.617 -1.837 20.349 -0.587 1934 9 17.460 -0.001 0 0 17.460 -0.001 17.846 0.904 1934 10 13.381 2.244 0 0 13.381 2.244 10.935 0.317 1934 11 6.013 1.684 0 0 6.013 1.684 6.159 2.348 1934 12 -4.532 -2.467 0 0 -4.532 -2.467 -4.293 -1.710 1935 1 -5.235 -0.194 0 0 -5.235 -0.194 -5.204 0.357 1935 2 NaN NaN NaN NaN NaN NaN -4.631 -0.333 1935 3 1.515 -0.039 0 0 1.515 -0.039 3.840 2.805 1935 4 NaN NaN NaN NaN NaN NaN 7.037 -1.166 1935 5 9.485 -5.597 0 0 9.485 -5.597 11.122 -3.443 1935 6 NaN NaN NaN NaN NaN NaN 17.851 -1.949 1935 7 25.372 2.897 1 0 NaN NaN 23.724 1.768 1935 8 23.681 2.226 0 0 23.681 2.226 21.346 0.410 1935 9 NaN NaN NaN NaN NaN NaN 16.157 -0.786 1935 10 11.185 0.049 0 0 11.185 0.049 10.508 -0.111 1935 11 NaN NaN NaN NaN NaN NaN 3.665 -0.146 1935 12 -5.457 -3.392 1 0 NaN NaN -5.097 -2.513 1936 1 -6.861 -1.819 0 0 -6.861 -1.819 -7.463 -1.903 1936 2 NaN NaN NaN NaN NaN NaN -10.383 -6.085 1936 3 NaN NaN NaN NaN NaN NaN 2.555 1.521 1936 4 NaN NaN NaN NaN NaN NaN 5.749 -2.454 1936 5 NaN NaN NaN NaN NaN NaN 16.560 1.996 1936 6 NaN NaN NaN NaN NaN NaN 18.956 -0.843 1936 7 NaN NaN NaN NaN NaN NaN 23.800 1.844 1936 8 NaN NaN NaN NaN NaN NaN 22.607 1.672 1936 9 NaN NaN NaN NaN NaN NaN 18.385 1.443 1936 10 NaN NaN NaN NaN NaN NaN 10.133 -0.485 1936 11 NaN NaN NaN NaN NaN NaN 1.858 -1.953 1936 12 NaN NaN NaN NaN NaN NaN -0.863 1.720 1937 1 NaN NaN NaN NaN NaN NaN -2.952 2.609