% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40169 % Primary Name: OSCODA FOOTE DAM % Record Type: TAVG % Country: United States % State: MI % Latitude: 44.43330 +/- 0.00005 % Longitude: -83.45000 +/- 0.00005 % Elevation (m): 192.63 +/- 0.15 % # of Months: 70 % % Alternate Names: Missing Station ID - 206253 % % IDs: coop - 206253 % ghcnd - USC00206253 % ncdc - 12002625 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4800db803471d5f6f1131aea3bb1ca3d % Raw Data Hash: b66af98f483247da0a9fa3c7dcde190b % Adj Data Hash: f2da0adccd340e7301f0836d38beddf9 % % 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 1928 10 NaN NaN NaN NaN NaN NaN 11.297 1.298 1928 11 NaN NaN NaN NaN NaN NaN 4.821 0.646 1928 12 NaN NaN NaN NaN NaN NaN -0.290 1.859 1929 1 NaN NaN NaN NaN NaN NaN -7.346 -1.869 1929 2 NaN NaN NaN NaN NaN NaN -8.158 -2.854 1929 3 NaN NaN NaN NaN NaN NaN 2.506 3.566 1929 4 NaN NaN NaN NaN NaN NaN 6.036 0.892 1929 5 NaN NaN NaN NaN NaN NaN 8.550 -2.017 1929 6 NaN NaN NaN NaN NaN NaN 14.173 -1.712 1929 7 NaN NaN NaN NaN NaN NaN 18.765 -0.299 1929 8 NaN NaN NaN NaN NaN NaN 17.172 -1.761 1929 9 NaN NaN NaN NaN NaN NaN 15.853 0.466 1929 10 9.224 -0.527 0 0 8.488 -1.263 9.169 -0.830 1929 11 1.968 -1.959 0 0 1.232 -2.696 2.690 -1.485 1929 12 -3.232 -0.835 0 0 -3.969 -1.572 -3.796 -1.646 1930 1 NaN NaN NaN NaN NaN NaN -6.420 -0.943 1930 2 -3.111 2.441 0 0 -3.847 1.704 -3.210 2.094 1930 3 -1.339 -0.031 0 0 -2.075 -0.767 -1.403 -0.343 1930 4 NaN NaN NaN NaN NaN NaN 5.044 -0.100 1930 5 NaN NaN NaN NaN NaN NaN 11.490 0.923 1930 6 NaN NaN NaN NaN NaN NaN 16.829 0.944 1930 7 NaN NaN NaN NaN NaN NaN 18.869 -0.195 1930 8 19.956 1.271 0 0 19.220 0.535 19.289 0.357 1930 9 NaN NaN NaN NaN NaN NaN 16.458 1.071 1930 10 NaN NaN NaN NaN NaN NaN 9.016 -0.983 1930 11 NaN NaN NaN NaN NaN NaN 5.296 1.121 1930 12 -2.252 0.146 0 0 -2.988 -0.591 -2.594 -0.444 1931 1 -3.200 2.524 0 0 -3.936 1.788 -3.798 1.679 1931 2 NaN NaN NaN NaN NaN NaN -2.296 3.008 1931 3 -0.482 0.826 0 0 -1.219 0.089 -1.011 0.049 1931 4 6.792 1.895 0 0 6.055 1.159 5.844 0.700 1931 5 12.713 2.393 0 0 11.976 1.657 10.412 -0.155 1931 6 NaN NaN NaN NaN NaN NaN 16.296 0.411 1931 7 22.542 3.726 0 0 21.805 2.989 21.158 2.094 1931 8 19.821 1.136 0 0 19.085 0.399 19.396 0.463 1931 9 NaN NaN NaN NaN NaN NaN 18.253 2.866 1931 10 NaN NaN NaN NaN NaN NaN 12.461 2.463 1931 11 7.158 3.231 0 0 6.422 2.494 8.539 4.364 1931 12 NaN NaN NaN NaN NaN NaN 1.105 3.254 1932 1 0.360 6.084 0 0 -0.377 5.348 1.205 6.682 1932 2 -2.053 3.498 0 0 -2.790 2.762 -1.980 3.324 1932 3 -2.323 -1.015 0 0 -3.059 -1.751 -2.927 -1.867 1932 4 3.760 -1.136 0 0 3.024 -1.873 3.452 -1.692 1932 5 11.737 1.418 0 0 11.001 0.681 10.387 -0.180 1932 6 18.550 2.913 0 0 17.814 2.176 16.438 0.553 1932 7 20.106 1.290 0 0 19.370 0.554 18.646 -0.418 1932 8 20.405 1.720 0 0 19.668 0.983 19.630 0.697 1932 9 14.798 -0.341 0 0 14.062 -1.077 15.230 -0.157 1932 10 NaN NaN NaN NaN NaN NaN 10.267 0.269 1932 11 NaN NaN NaN NaN NaN NaN 2.767 -1.408 1932 12 -3.535 -1.138 0 4 -3.142 -0.744 -2.006 0.143 1933 1 NaN NaN NaN NaN NaN NaN -0.250 5.227 1933 2 -7.175 -1.623 0 0 -6.781 -1.230 -5.076 0.228 1933 3 NaN NaN NaN NaN NaN NaN -1.420 -0.359 1933 4 NaN NaN NaN NaN NaN NaN 5.393 0.249 1933 5 11.268 0.948 0 0 11.662 1.342 11.156 0.589 1933 6 18.303 2.666 0 0 18.697 3.060 18.045 2.160 1933 7 NaN NaN NaN NaN NaN NaN 20.343 1.279 1933 8 18.006 -0.679 0 0 18.400 -0.285 18.684 -0.248 1933 9 NaN NaN NaN NaN NaN NaN 17.589 2.202 1933 10 7.440 -2.311 0 0 7.834 -1.917 9.462 -0.536 1933 11 -1.242 -5.169 0 0 -0.848 -4.775 1.080 -3.095 1933 12 -5.029 -2.632 0 0 -4.635 -2.238 -4.019 -1.870 1934 1 NaN NaN NaN NaN NaN NaN -3.098 2.379 1934 2 NaN NaN NaN NaN NaN NaN -12.161 -6.857 1934 3 -4.574 -3.266 0 0 -4.180 -2.873 -3.920 -2.860 1934 4 3.207 -1.690 0 0 3.601 -1.296 4.051 -1.093 1934 5 12.203 1.884 0 0 12.597 2.278 11.739 1.172 1934 6 17.050 1.413 0 0 17.444 1.807 17.385 1.500 1934 7 19.610 0.794 0 0 20.004 1.187 19.557 0.494 1934 8 16.837 -1.848 0 0 17.231 -1.454 17.029 -1.904 1934 9 NaN NaN NaN NaN NaN NaN 16.358 0.971 1934 10 NaN NaN NaN NaN NaN NaN 9.825 -0.174 1934 11 4.642 0.714 0 0 5.036 1.108 6.440 2.265 1934 12 NaN NaN NaN NaN NaN NaN -3.933 -1.783 1935 1 NaN NaN NaN NaN NaN NaN -6.203 -0.726 1935 2 -6.218 -0.666 0 0 -5.824 -0.272 -6.190 -0.886 1935 3 NaN NaN NaN NaN NaN NaN 0.679 1.739 1935 4 4.237 -0.660 0 0 4.631 -0.266 4.357 -0.787 1935 5 8.534 -1.786 0 0 8.928 -1.392 7.164 -3.403 1935 6 15.570 -0.067 0 0 15.964 0.327 14.526 -1.359 1935 7 NaN NaN NaN NaN NaN NaN 21.241 2.177 1935 8 18.803 0.118 0 0 19.197 0.512 19.177 0.244 1935 9 NaN NaN NaN NaN NaN NaN 13.913 -1.474 1935 10 NaN NaN NaN NaN NaN NaN 9.746 -0.253 1935 11 2.320 -1.607 0 0 2.714 -1.214 4.293 0.118 1935 12 -1.353 1.044 1 0 NaN NaN -4.791 -2.641 1936 1 -6.856 -1.132 0 0 -6.463 -0.738 -6.450 -0.973 1936 2 -11.809 -6.257 0 0 -11.415 -5.863 -11.152 -5.848 1936 3 -0.490 0.817 0 0 -0.096 1.211 0.175 1.235 1936 4 NaN NaN NaN NaN NaN NaN 2.608 -2.536 1936 5 12.661 2.342 0 0 13.055 2.736 12.113 1.546 1936 6 15.194 -0.444 1 0 NaN NaN 14.529 -1.356 1936 7 20.453 1.637 0 0 20.847 2.031 19.995 0.932 1936 8 17.950 -0.735 0 0 18.344 -0.341 19.184 0.251 1936 9 14.920 -0.219 0 0 15.314 0.175 16.354 0.967 1936 10 7.250 -2.501 0 0 7.644 -2.107 8.936 -1.062 1936 11 -0.462 -4.389 0 0 -0.068 -3.995 1.611 -2.564 1936 12 -1.866 0.531 0 0 -1.472 0.925 -0.853 1.297 1937 1 -4.153 1.571 0 0 -3.759 1.965 -2.640 2.837 1937 2 -4.080 1.471 0 0 -3.686 1.865 -3.255 2.049 1937 3 -3.158 -1.850 0 0 -2.764 -1.456 -2.936 -1.876 1937 4 4.038 -0.858 0 0 4.432 -0.464 4.556 -0.588 1937 5 11.424 1.105 0 0 11.818 1.499 10.754 0.187 1937 6 16.453 0.816 0 0 16.847 1.210 15.702 -0.182 1937 7 19.779 0.963 0 0 20.173 1.357 19.628 0.564 1937 8 20.461 1.776 0 0 20.855 2.170 20.838 1.905 1937 9 14.150 -0.989 0 0 14.544 -0.595 14.931 -0.456 1937 10 6.579 -3.172 0 0 6.973 -2.778 8.207 -1.792 1937 11 1.978 -1.950 0 0 2.371 -1.556 3.753 -0.422 1937 12 -4.432 -2.035 0 0 -4.038 -1.641 -3.864 -1.715 1938 1 -7.449 -1.724 1 0 NaN NaN -6.324 -0.847 1938 2 -10.423 -4.872 1 0 NaN NaN -3.211 2.093 1938 3 NaN NaN NaN NaN NaN NaN 2.006 3.067 1938 4 NaN NaN NaN NaN NaN NaN 6.393 1.249 1938 5 NaN NaN NaN NaN NaN NaN 10.276 -0.291 1938 6 NaN NaN NaN NaN NaN NaN 15.765 -0.120 1938 7 NaN NaN NaN NaN NaN NaN 19.820 0.757 1938 8 NaN NaN NaN NaN NaN NaN 21.353 2.420 1938 9 NaN NaN NaN NaN NaN NaN 14.228 -1.159 1938 10 NaN NaN NaN NaN NaN NaN 11.722 1.723 1938 11 NaN NaN NaN NaN NaN NaN 5.921 1.746 1938 12 NaN NaN NaN NaN NaN NaN -1.637 0.513 1939 1 NaN NaN NaN NaN NaN NaN -4.129 1.348 1939 2 NaN NaN NaN NaN NaN NaN -5.486 -0.182