% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32556 % Primary Name: HUMANSVILLE % Record Type: TAVG % Country: United States % State: MO % Latitude: 37.79440 +/- 0.00005 % Longitude: -93.57810 +/- 0.00005 % Elevation (m): 294.13 +/- 0.15 % # of Months: 44 % % Alternate Names: Missing Station ID - 234101 % % IDs: coop - 234101 % ghcnd - USC00234101 % ncdc - 12002962 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 453e9348d36e5ac1a8d5150809033133 % Raw Data Hash: a6616e0f95da5b194c4482a3926e71f9 % Adj Data Hash: 4ffbab2dcfcc042738f4e053dab285ca % % 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 2 NaN NaN NaN NaN NaN NaN 4.121 2.122 1892 3 NaN NaN NaN NaN NaN NaN 3.798 -3.078 1892 4 NaN NaN NaN NaN NaN NaN 12.772 -0.797 1892 5 NaN NaN NaN NaN NaN NaN 16.435 -2.182 1892 6 NaN NaN NaN NaN NaN NaN 23.493 0.151 1892 7 NaN NaN NaN NaN NaN NaN 24.425 -1.637 1892 8 NaN NaN NaN NaN NaN NaN 24.412 -0.814 1892 9 NaN NaN NaN NaN NaN NaN 20.343 -0.624 1892 10 NaN NaN NaN NaN NaN NaN 14.609 -0.038 1892 11 NaN NaN NaN NaN NaN NaN 5.314 -2.054 1892 12 NaN NaN NaN NaN NaN NaN -0.422 -2.277 1893 1 NaN NaN NaN NaN NaN NaN -3.676 -2.721 1893 2 4.333 1.812 1 0 NaN NaN -0.699 -2.699 1893 3 6.254 -1.143 0 0 6.254 -1.143 5.466 -1.410 1893 4 13.870 -0.221 0 0 13.870 -0.221 13.801 0.232 1893 5 17.151 -1.988 0 0 17.151 -1.988 16.888 -1.728 1893 6 22.722 -1.142 0 0 22.722 -1.142 22.756 -0.587 1893 7 25.645 -0.940 0 0 25.645 -0.940 25.656 -0.407 1893 8 22.527 -3.222 0 0 22.527 -3.222 23.028 -2.198 1893 9 22.185 0.697 0 0 22.185 0.697 22.014 1.047 1893 10 14.444 -0.725 0 0 14.444 -0.725 14.427 -0.221 1893 11 5.296 -2.595 0 0 5.296 -2.595 5.573 -1.796 1893 12 NaN NaN NaN NaN NaN NaN 3.067 1.212 1894 1 NaN NaN NaN NaN NaN NaN -0.185 0.771 1894 2 NaN NaN NaN NaN NaN NaN -1.165 -3.165 1894 3 NaN NaN NaN NaN NaN NaN 8.845 1.970 1894 4 NaN NaN NaN NaN NaN NaN 14.497 0.928 1894 5 NaN NaN NaN NaN NaN NaN 18.114 -0.502 1894 6 NaN NaN NaN NaN NaN NaN 23.655 0.313 1894 7 NaN NaN NaN NaN NaN NaN 24.622 -1.441 1894 8 NaN NaN NaN NaN NaN NaN 25.084 -0.143 1894 9 NaN NaN NaN NaN NaN NaN 20.566 -0.401 1894 10 NaN NaN NaN NaN NaN NaN 15.091 0.444 1894 11 6.385 -1.506 0 0 6.385 -1.506 6.359 -1.010 1894 12 3.082 0.706 0 0 3.082 0.706 3.221 1.366 1895 1 -3.469 -3.036 0 0 -3.469 -3.036 -3.730 -2.774 1895 2 NaN NaN NaN NaN NaN NaN -3.809 -5.809 1895 3 NaN NaN NaN NaN NaN NaN 6.088 -0.787 1895 4 14.815 0.724 0 0 14.815 0.724 15.044 1.475 1895 5 18.426 -0.713 0 0 18.426 -0.713 18.035 -0.582 1895 6 23.741 -0.124 0 0 23.741 -0.124 23.034 -0.309 1895 7 24.355 -2.230 0 0 24.355 -2.230 23.741 -2.322 1895 8 24.122 -1.627 0 0 24.122 -1.627 24.118 -1.108 1895 9 22.426 0.937 0 0 22.426 0.937 22.458 1.492 1895 10 11.470 -3.700 0 0 11.470 -3.700 11.668 -2.979 1895 11 6.672 -1.219 0 0 6.672 -1.219 5.963 -1.405 1895 12 2.545 0.168 0 0 2.545 0.168 1.804 -0.051 1896 1 1.444 1.878 0 0 1.444 1.878 0.376 1.332 1896 2 3.142 0.620 0 0 3.142 0.620 2.812 0.813 1896 3 4.767 -2.631 0 0 4.767 -2.631 3.897 -2.979 1896 4 NaN NaN NaN NaN NaN NaN 17.051 3.482 1896 5 NaN NaN NaN NaN NaN NaN 20.835 2.219 1896 6 NaN NaN NaN NaN NaN NaN 22.706 -0.637 1896 7 NaN NaN NaN NaN NaN NaN 25.509 -0.554 1896 8 NaN NaN NaN NaN NaN NaN 25.247 0.021 1896 9 14.441 -7.048 1 0 NaN NaN 19.395 -1.571 1896 10 12.976 -2.194 0 0 12.976 -2.194 12.979 -1.669 1896 11 7.257 -0.634 0 0 7.257 -0.634 6.373 -0.996 1896 12 4.879 2.502 0 0 4.879 2.502 4.452 2.597 1897 1 -0.397 0.036 0 0 -0.397 0.036 -1.987 -1.031 1897 2 3.713 1.191 1 0 NaN NaN 2.326 0.326 1897 3 8.297 0.899 0 0 8.297 0.899 7.133 0.258 1897 4 NaN NaN NaN NaN NaN NaN 12.922 -0.648 1897 5 19.008 -0.131 1 0 NaN NaN 17.331 -1.285 1897 6 24.444 0.580 0 0 24.444 0.580 23.452 0.109 1897 7 26.738 0.153 0 0 26.738 0.153 26.354 0.292 1897 8 25.108 -0.641 0 0 25.108 -0.641 24.313 -0.913 1897 9 25.278 3.789 0 0 25.278 3.789 23.992 3.026 1897 10 19.265 4.095 0 0 19.265 4.095 18.105 3.457 1897 11 8.685 0.794 0 0 8.685 0.794 7.165 -0.204 1897 12 0.556 -1.821 0 0 0.556 -1.821 -0.539 -2.393 1898 1 3.333 3.767 0 0 3.333 3.767 1.569 2.524 1898 2 3.750 1.228 1 0 NaN NaN 2.705 0.706 1898 3 8.118 0.721 0 0 8.118 0.721 6.805 -0.070 1898 4 12.185 -1.906 0 0 12.185 -1.906 11.802 -1.767 1898 5 NaN NaN NaN NaN NaN NaN 18.723 0.107 1898 6 NaN NaN NaN NaN NaN NaN 24.127 0.784 1898 7 NaN NaN NaN NaN NaN NaN 24.877 -1.186 1898 8 NaN NaN NaN NaN NaN NaN 24.408 -0.818 1898 9 NaN NaN NaN NaN NaN NaN 21.935 0.969 1898 10 NaN NaN NaN NaN NaN NaN 12.688 -1.959 1898 11 NaN NaN NaN NaN NaN NaN 4.863 -2.506 1898 12 NaN NaN NaN NaN NaN NaN -1.101 -2.955 1899 1 NaN NaN NaN NaN NaN NaN -1.200 -0.245 1899 2 NaN NaN NaN NaN NaN NaN -5.979 -7.978 1899 3 NaN NaN NaN NaN NaN NaN 3.387 -3.489 1899 4 NaN NaN NaN NaN NaN NaN 12.622 -0.947