% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34410 % Primary Name: MCCUNE STATION % Record Type: TAVG % Country: United States % State: MO % Latitude: 39.40560 +/- 0.00005 % Longitude: -91.24610 +/- 0.00005 % Elevation (m): 167.64 +/- 0.15 % # of Months: 108 % % Alternate Names: Missing Station ID - 235418 % % IDs: coop - 235418 % ghcnd - USC00235418 % ncdc - 12002978 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1bbce712682d4b044f0a4769f211b5d8 % Raw Data Hash: 884bc91e334d8d3249d245b75f8fbda2 % Adj Data Hash: 5446a3f06b66d98ead739c4601c17191 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -6.653 -3.288 1892 2 NaN NaN NaN NaN NaN NaN 2.111 2.480 1892 3 NaN NaN NaN NaN NaN NaN 2.452 -2.591 1892 4 NaN NaN NaN NaN NaN NaN 10.967 -1.379 1892 5 NaN NaN NaN NaN NaN NaN 15.064 -2.771 1892 6 NaN NaN NaN NaN NaN NaN 23.121 0.268 1892 7 NaN NaN NaN NaN NaN NaN 23.809 -1.525 1892 8 NaN NaN NaN NaN NaN NaN 23.633 -0.564 1892 9 NaN NaN NaN NaN NaN NaN 19.346 -0.629 1892 10 NaN NaN NaN NaN NaN NaN 13.864 0.290 1892 11 NaN NaN NaN NaN NaN NaN 3.431 -2.738 1892 12 NaN NaN NaN NaN NaN NaN -2.325 -2.219 1893 1 -7.348 -4.252 0 0 -7.348 -4.252 -7.891 -4.526 1893 2 -2.956 -2.857 0 0 -2.956 -2.857 -3.497 -3.129 1893 3 4.283 -1.029 0 0 4.283 -1.029 3.703 -1.340 1893 4 11.500 -1.115 0 0 11.500 -1.115 11.537 -0.810 1893 5 16.093 -2.011 0 0 16.093 -2.011 15.870 -1.965 1893 6 21.722 -1.400 0 0 21.722 -1.400 22.496 -0.358 1893 7 25.072 -0.532 0 0 25.072 -0.532 25.304 -0.031 1893 8 22.491 -1.975 0 0 22.491 -1.975 22.389 -1.808 1893 9 21.278 1.034 0 0 21.278 1.034 20.939 0.964 1893 10 13.244 -0.600 0 0 13.244 -0.600 13.516 -0.058 1893 11 4.732 -1.707 0 0 4.732 -1.707 4.599 -1.570 1893 12 0.502 0.339 0 0 0.502 0.339 0.227 0.333 1894 1 -1.609 1.487 0 0 -1.609 1.487 -2.199 1.167 1894 2 -2.877 -2.777 0 0 -2.877 -2.777 -2.975 -2.606 1894 3 8.692 3.380 0 0 8.692 3.380 7.944 2.901 1894 4 12.241 -0.375 0 0 12.241 -0.375 13.014 0.668 1894 5 17.151 -0.954 0 0 17.151 -0.954 17.065 -0.770 1894 6 23.981 0.859 0 0 23.981 0.859 24.186 1.333 1894 7 24.928 -0.675 0 0 24.928 -0.675 25.019 -0.315 1894 8 24.068 -0.398 0 0 24.068 -0.398 24.392 0.195 1894 9 19.962 -0.282 0 0 19.962 -0.282 19.981 0.007 1894 10 13.728 -0.116 0 0 13.728 -0.116 13.933 0.359 1894 11 3.889 -2.550 0 0 3.889 -2.550 4.014 -2.155 1894 12 1.935 1.773 0 0 1.935 1.773 1.904 2.010 1895 1 -6.290 -3.194 0 0 -6.290 -3.194 -6.368 -3.003 1895 2 -7.401 -7.301 0 0 -7.401 -7.301 -6.325 -5.956 1895 3 5.108 -0.205 0 0 5.108 -0.205 4.198 -0.845 1895 4 13.630 1.014 0 0 13.630 1.014 13.848 1.502 1895 5 18.781 0.677 0 0 18.781 0.677 17.633 -0.202 1895 6 23.296 0.174 0 0 23.296 0.174 23.142 0.289 1895 7 23.477 -2.127 0 0 23.477 -2.127 23.460 -1.875 1895 8 23.315 -1.151 0 0 23.315 -1.151 23.774 -0.423 1895 9 21.481 1.237 0 0 21.481 1.237 21.745 1.771 1895 10 9.265 -4.578 0 0 9.265 -4.578 10.345 -3.229 1895 11 5.259 -1.179 0 0 5.259 -1.179 4.705 -1.465 1895 12 1.057 0.894 0 0 1.057 0.894 0.600 0.706 1896 1 0.986 4.082 0 0 0.986 4.082 -1.389 1.977 1896 2 0.536 0.636 0 0 0.536 0.636 0.282 0.651 1896 3 3.333 -1.979 0 0 3.333 -1.979 2.377 -2.666 1896 4 16.296 3.681 0 0 16.296 3.681 16.482 4.135 1896 5 21.272 3.168 0 0 21.272 3.168 20.933 3.098 1896 6 22.463 -0.660 0 0 22.463 -0.660 22.292 -0.562 1896 7 25.430 -0.173 0 0 25.430 -0.173 24.814 -0.520 1896 8 24.875 0.408 0 0 24.875 0.408 24.245 0.048 1896 9 17.704 -2.540 0 0 17.704 -2.540 17.778 -2.196 1896 10 11.470 -2.374 0 0 11.470 -2.374 11.963 -1.611 1896 11 5.444 -0.994 0 0 5.444 -0.994 5.274 -0.895 1896 12 3.584 3.421 0 0 3.584 3.421 2.728 2.834 1897 1 -3.853 -0.757 0 0 -3.853 -0.757 -4.278 -0.912 1897 2 0.952 1.052 0 0 0.952 1.052 0.173 0.542 1897 3 5.538 0.225 0 0 5.538 0.225 4.809 -0.234 1897 4 11.500 -1.115 0 0 11.500 -1.115 11.691 -0.655 1897 5 15.968 -2.136 0 0 15.968 -2.136 15.931 -1.904 1897 6 23.222 0.100 0 0 23.222 0.100 22.816 -0.037 1897 7 25.699 0.096 0 0 25.699 0.096 25.649 0.314 1897 8 23.118 -1.348 0 0 23.118 -1.348 22.671 -1.526 1897 9 23.278 3.034 0 0 23.278 3.034 23.352 3.378 1897 10 15.932 2.089 0 0 15.932 2.089 16.979 3.405 1897 11 5.426 -1.012 0 0 5.426 -1.012 5.540 -0.629 1897 12 -1.989 -2.152 0 0 -1.989 -2.152 -2.669 -2.562 1898 1 0.717 3.813 0 0 0.717 3.813 -0.789 2.576 1898 2 1.290 1.389 0 0 1.290 1.389 0.500 0.869 1898 3 6.416 1.104 0 0 6.416 1.104 5.867 0.824 1898 4 10.352 -2.264 0 0 10.352 -2.264 10.749 -1.597 1898 5 17.706 -0.398 0 0 17.706 -0.398 17.332 -0.503 1898 6 23.815 0.692 0 0 23.815 0.692 23.709 0.855 1898 7 24.785 -0.818 0 0 24.785 -0.818 24.391 -0.943 1898 8 24.337 -0.129 0 0 24.337 -0.129 23.973 -0.224 1898 9 22.037 1.793 0 0 22.037 1.793 21.564 1.589 1898 10 11.649 -2.195 0 0 11.649 -2.195 11.687 -1.887 1898 11 4.222 -2.216 0 0 4.222 -2.216 3.989 -2.180 1898 12 -2.222 -2.385 0 0 -2.222 -2.385 -2.825 -2.719 1899 1 -1.685 1.412 0 0 -1.685 1.412 -2.909 0.456 1899 2 -6.825 -6.726 0 0 -6.825 -6.726 -7.447 -7.079 1899 3 2.007 -3.305 0 0 2.007 -3.305 1.212 -3.830 1899 4 12.815 0.199 0 0 12.815 0.199 12.202 -0.144 1899 5 18.961 0.857 0 0 18.961 0.857 18.179 0.344 1899 6 23.407 0.285 0 0 23.407 0.285 23.306 0.453 1899 7 24.086 -1.517 0 0 24.086 -1.517 24.237 -1.097 1899 8 24.964 0.498 0 0 24.964 0.498 24.962 0.766 1899 9 18.574 -1.670 0 0 18.574 -1.670 18.900 -1.075 1899 10 16.165 2.322 0 0 16.165 2.322 16.542 2.967 1899 11 9.259 2.821 0 0 9.259 2.821 9.352 3.183 1899 12 -1.738 -1.901 0 0 -1.738 -1.901 -1.731 -1.625 1900 1 0.215 3.311 0 0 0.215 3.311 -0.548 2.817 1900 2 -4.107 -4.007 0 0 -4.107 -4.007 -4.732 -4.363 1900 3 3.459 -1.853 0 0 3.459 -1.853 2.388 -2.655 1900 4 13.148 0.533 0 0 13.148 0.533 12.932 0.586 1900 5 18.907 0.803 0 0 18.907 0.803 18.342 0.507 1900 6 22.019 -1.104 0 0 22.019 -1.104 22.322 -0.532 1900 7 25.054 -0.550 0 0 25.054 -0.550 24.673 -0.661 1900 8 27.688 3.222 0 0 27.688 3.222 27.062 2.866 1900 9 21.204 0.960 0 0 21.204 0.960 21.023 1.048 1900 10 17.222 3.379 0 0 17.222 3.379 16.823 3.249 1900 11 6.167 -0.272 0 0 6.167 -0.272 5.807 -0.362 1900 12 NaN NaN NaN NaN NaN NaN 0.746 0.852 1901 1 0.806 3.903 0 0 0.806 3.903 -0.701 2.665 1901 2 -3.671 -3.571 0 0 -3.671 -3.571 -4.147 -3.779 1901 3 NaN NaN NaN NaN NaN NaN 4.406 -0.637 1901 4 11.370 -1.245 0 0 11.370 -1.245 11.164 -1.183 1901 5 17.867 -0.237 0 0 17.867 -0.237 17.050 -0.785 1901 6 26.222 3.100 0 0 26.222 3.100 25.035 2.182 1901 7 29.910 4.307 0 0 29.910 4.307 29.423 4.089 1901 8 25.681 1.215 0 0 25.681 1.215 25.183 0.986 1901 9 20.778 0.534 0 0 20.778 0.534 20.240 0.265 1901 10 14.624 0.780 0 0 14.624 0.780 15.055 1.480 1901 11 5.556 -0.883 0 0 5.556 -0.883 5.076 -1.093 1901 12 -3.118 -3.281 0 0 -3.118 -3.281 -3.306 -3.200 1902 1 -2.706 0.390 0 0 -2.706 0.390 -3.222 0.143 1902 2 -5.873 -5.773 0 0 -5.873 -5.773 -6.257 -5.888 1902 3 NaN NaN NaN NaN NaN NaN 5.897 0.855 1902 4 NaN NaN NaN NaN NaN NaN 11.295 -1.051 1902 5 NaN NaN NaN NaN NaN NaN 19.829 1.994 1902 6 NaN NaN NaN NaN NaN NaN 21.085 -1.769 1902 7 NaN NaN NaN NaN NaN NaN 24.909 -0.426 1902 8 NaN NaN NaN NaN NaN NaN 22.567 -1.630 1902 9 NaN NaN NaN NaN NaN NaN 16.880 -3.095 1902 10 NaN NaN NaN NaN NaN NaN 14.851 1.277 1902 11 NaN NaN NaN NaN NaN NaN 9.640 3.471 1902 12 NaN NaN NaN NaN NaN NaN -2.050 -1.944 1903 1 NaN NaN NaN NaN NaN NaN -3.002 0.363 1903 2 NaN NaN NaN NaN NaN NaN -2.892 -2.523