% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32369 % Primary Name: MINE LA MOTTE % Record Type: TAVG % Country: United States % State: MO % Latitude: 37.61670 +/- 0.00005 % Longitude: -90.28330 +/- 0.00005 % Elevation (m): 259.96 +/- 40.61 % # of Months: 53 % % Alternate Names: Missing Station ID - 235572 % % IDs: coop - 235572 % ghcnd - USC00235572 % ncdc - 12002981 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7bd424884e68bf6ee0c44bbecf5c0379 % Raw Data Hash: 2347527c17dce3a303437273ec145d68 % Adj Data Hash: 21b57dfeefef53cf96c66450a43a267f % % 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 -4.274 -3.763 1892 2 NaN NaN NaN NaN NaN NaN 4.723 2.681 1892 3 NaN NaN NaN NaN NaN NaN 4.789 -2.415 1892 4 NaN NaN NaN NaN NaN NaN 13.214 -0.632 1892 5 NaN NaN NaN NaN NaN NaN 17.371 -1.509 1892 6 NaN NaN NaN NaN NaN NaN 24.191 0.544 1892 7 NaN NaN NaN NaN NaN NaN 24.587 -1.184 1892 8 NaN NaN NaN NaN NaN NaN 24.199 -0.594 1892 9 NaN NaN NaN NaN NaN NaN 20.411 -0.569 1892 10 NaN NaN NaN NaN NaN NaN 14.707 0.270 1892 11 NaN NaN NaN NaN NaN NaN 5.556 -2.089 1892 12 NaN NaN NaN NaN NaN NaN 0.855 -1.282 1893 1 -1.695 -1.207 0 0 -1.695 -1.207 -4.507 -3.996 1893 2 1.151 -0.914 0 0 1.151 -0.914 0.048 -1.993 1893 3 7.581 0.355 0 0 7.581 0.355 6.443 -0.760 1893 4 15.185 1.316 0 0 15.185 1.316 14.518 0.672 1893 5 17.704 -1.199 0 0 17.704 -1.199 17.061 -1.818 1893 6 22.204 -1.467 0 0 22.204 -1.467 22.979 -0.669 1893 7 24.660 -1.134 0 0 24.660 -1.134 25.873 0.103 1893 8 23.011 -1.805 0 0 23.011 -1.805 23.294 -1.499 1893 9 21.296 0.294 0 0 21.296 0.294 21.452 0.472 1893 10 13.115 -1.345 0 0 13.115 -1.345 13.373 -1.064 1893 11 6.889 -0.779 0 0 6.889 -0.779 6.460 -1.185 1893 12 3.674 1.514 0 0 3.674 1.514 2.771 0.635 1894 1 2.832 3.319 0 0 2.832 3.319 1.618 2.129 1894 2 0.761 -1.303 1 0 NaN NaN 0.048 -1.994 1894 3 10.681 3.455 0 0 10.681 3.455 9.658 2.455 1894 4 13.852 -0.017 0 0 13.852 -0.017 13.784 -0.062 1894 5 17.437 -1.465 0 0 17.437 -1.465 17.514 -1.366 1894 6 22.537 -1.133 0 0 22.537 -1.133 24.301 0.654 1894 7 23.065 -2.729 0 0 23.065 -2.729 24.460 -1.310 1894 8 23.763 -1.052 0 0 23.763 -1.052 24.438 -0.355 1894 9 19.870 -1.132 0 0 19.870 -1.132 20.788 -0.191 1894 10 13.685 -0.775 0 0 13.685 -0.775 14.242 -0.195 1894 11 6.333 -1.335 0 0 6.333 -1.335 5.886 -1.759 1894 12 3.746 1.586 0 0 3.746 1.586 3.271 1.134 1895 1 -1.559 -1.071 0 0 -1.559 -1.071 -3.378 -2.868 1895 2 -3.214 -5.279 0 0 -3.214 -5.279 -4.324 -6.366 1895 3 7.061 -0.165 0 0 7.061 -0.165 6.390 -0.814 1895 4 14.504 0.635 0 0 14.504 0.635 14.627 0.781 1895 5 17.240 -1.662 0 0 17.240 -1.662 17.881 -0.998 1895 6 22.426 -1.244 0 0 22.426 -1.244 24.311 0.664 1895 7 23.029 -2.765 0 0 23.029 -2.765 23.847 -1.924 1895 8 23.351 -1.464 0 0 23.351 -1.464 24.353 -0.440 1895 9 21.778 0.775 0 0 21.778 0.775 22.662 1.682 1895 10 10.215 -4.245 0 0 10.215 -4.245 10.875 -3.562 1895 11 6.722 -0.946 0 0 6.722 -0.946 6.585 -1.060 1895 12 3.423 1.263 0 0 3.423 1.263 3.010 0.874 1896 1 1.989 2.477 0 0 1.989 2.477 0.846 1.357 1896 2 3.142 1.077 1 0 NaN NaN 2.449 0.407 1896 3 5.215 -2.011 0 0 5.215 -2.011 4.413 -2.790 1896 4 17.685 3.816 0 0 17.685 3.816 17.762 3.916 1896 5 20.520 1.617 0 0 20.520 1.617 21.350 2.470 1896 6 21.648 -2.022 0 0 21.648 -2.022 22.970 -0.678 1896 7 24.534 -1.259 0 0 24.534 -1.259 25.431 -0.340 1896 8 24.140 -0.676 0 0 24.140 -0.676 25.130 0.337 1896 9 18.778 -2.225 0 0 18.778 -2.225 19.744 -1.236 1896 10 12.240 -2.220 0 0 12.240 -2.220 12.919 -1.518 1896 11 8.315 0.647 0 0 8.315 0.647 8.160 0.515 1896 12 4.462 2.303 0 0 4.462 2.303 3.989 1.852 1897 1 0.018 0.506 0 0 0.018 0.506 -1.452 -0.941 1897 2 3.036 0.971 0 0 3.036 0.971 2.256 0.214 1897 3 9.122 1.896 0 0 9.122 1.896 7.886 0.683 1897 4 13.481 -0.387 0 0 13.481 -0.387 13.075 -0.771 1897 5 15.538 -3.365 0 0 15.538 -3.365 16.065 -2.815 1897 6 NaN NaN NaN NaN NaN NaN 23.328 -0.320 1897 7 NaN NaN NaN NaN NaN NaN 25.884 0.113 1897 8 NaN NaN NaN NaN NaN NaN 23.977 -0.815 1897 9 NaN NaN NaN NaN NaN NaN 23.312 2.332 1897 10 NaN NaN NaN NaN NaN NaN 17.452 3.015 1897 11 NaN NaN NaN NaN NaN NaN 7.735 0.090 1897 12 NaN NaN NaN NaN NaN NaN 0.746 -1.391 1898 1 NaN NaN NaN NaN NaN NaN 2.356 2.867 1898 2 NaN NaN NaN NaN NaN NaN 2.328 0.286 1898 3 NaN NaN NaN NaN NaN NaN 8.429 1.226 1898 4 NaN NaN NaN NaN NaN NaN 11.855 -1.991 1898 5 NaN NaN NaN NaN NaN NaN 19.109 0.229