% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32204 % Primary Name: MILLERSTOWN 4E % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.44428 +/- 0.01073 % Longitude: -86.03193 +/- 0.02307 % Elevation (m): 182.90 +/- 0.05 % # of Months: 47 % % Alternate Names: MILLERSTOWN % MILLERTOWN 4E % Missing Station ID - 155444 % % IDs: coop - 155438 % coop - 155444 % ghcnd - USC00155438 % ghcnd - USC00155444 % ncdc - 20008297 % ncdc - 30002644 % nws - MLTK2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3c821266ba1082c9a032b410ce2baa33 % Raw Data Hash: fe05d3dd1ee441827fb143edab40ab85 % Adj Data Hash: 2d83f50a6d1f5a7f223d594ead9cce4a % % 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 2008 1 NaN NaN NaN NaN NaN NaN 0.138 -0.118 2008 2 NaN NaN NaN NaN NaN NaN 2.310 0.143 2008 3 NaN NaN NaN NaN NaN NaN 7.394 0.065 2008 4 NaN NaN NaN NaN NaN NaN 13.752 0.344 2008 5 NaN NaN NaN NaN NaN NaN 16.983 -1.358 2008 6 NaN NaN NaN NaN NaN NaN 24.327 1.580 2008 7 NaN NaN NaN NaN NaN NaN 24.579 -0.181 2008 8 NaN NaN NaN NaN NaN NaN 23.974 -0.137 2008 9 NaN NaN NaN NaN NaN NaN 22.828 2.180 2008 10 NaN NaN NaN NaN NaN NaN 14.175 0.373 2008 11 NaN NaN NaN NaN NaN NaN 6.859 -0.711 2008 12 NaN NaN NaN NaN NaN NaN 2.813 0.204 2009 1 -0.778 -0.014 0 0 -1.975 -1.211 -1.733 -1.989 2009 2 4.056 2.908 0 0 2.858 1.711 3.251 1.084 2009 3 8.778 2.468 0 0 7.580 1.271 9.104 1.775 2009 4 13.222 0.833 0 0 12.025 -0.364 14.075 0.666 2009 5 18.889 1.567 0 0 17.691 0.370 18.733 0.392 2009 6 24.278 2.550 0 0 23.080 1.353 24.041 1.293 2009 7 22.889 -0.852 0 0 21.691 -2.049 22.582 -2.178 2009 8 23.944 0.853 0 0 22.747 -0.345 23.617 -0.494 2009 9 22.111 2.483 0 0 20.914 1.286 21.581 0.933 2009 10 12.778 -0.004 0 0 11.580 -1.202 12.348 -1.453 2009 11 10.500 3.950 0 4 10.853 4.303 10.095 2.524 2009 12 1.278 -0.311 0 0 1.631 0.042 2.352 -0.257 2010 1 -2.056 -1.292 0 0 -1.703 -0.939 -1.894 -2.149 2010 2 -2.444 -3.592 0 0 -2.091 -3.239 -1.600 -3.767 2010 3 6.500 0.190 0 0 6.853 0.543 8.308 0.978 2010 4 13.778 1.389 0 0 14.131 1.742 16.284 2.876 2010 5 18.667 1.345 0 0 19.020 1.698 20.047 1.706 2010 6 24.611 2.883 0 0 24.964 3.236 26.008 3.260 2010 7 25.000 1.260 0 0 25.353 1.613 26.367 1.607 2010 8 24.611 1.519 0 0 24.964 1.873 26.250 2.139 2010 9 19.833 0.206 0 0 20.186 0.559 22.150 1.503 2010 10 14.175 1.393 1 0 NaN NaN 14.895 1.093 2010 11 NaN NaN NaN NaN NaN NaN 9.136 1.566 2010 12 NaN NaN NaN NaN NaN NaN -1.490 -4.098 2011 1 NaN NaN NaN NaN NaN NaN -1.733 -1.988 2011 2 NaN NaN NaN NaN NaN NaN 3.206 1.039 2011 3 9.633 3.324 1 0 NaN NaN 9.151 1.822 2011 4 13.611 1.222 0 1 14.037 1.648 15.549 2.141 2011 5 16.944 -0.377 0 0 17.370 0.048 18.464 0.122 2011 6 23.167 1.439 0 0 23.593 1.865 24.353 1.606 2011 7 25.556 1.815 0 0 25.981 2.241 27.164 2.404 2011 8 23.500 0.408 0 0 23.926 0.834 24.986 0.875 2011 9 18.611 -1.017 0 0 19.037 -0.591 20.109 -0.538 2011 10 11.889 -0.893 0 0 12.315 -0.467 13.299 -0.503 2011 11 9.222 2.672 0 0 9.648 3.098 10.742 3.172 2011 12 3.742 2.153 0 0 4.168 2.579 5.388 2.779 2012 1 2.647 3.411 0 0 3.073 3.836 3.084 2.828 2012 2 NaN NaN NaN NaN NaN NaN 4.562 2.396 2012 3 12.698 6.389 0 0 13.124 6.815 14.566 7.236 2012 4 12.830 0.441 0 0 13.256 0.867 14.730 1.322 2012 5 22.223 4.901 1 0 NaN NaN 21.244 2.902 2012 6 21.193 -0.534 0 0 21.619 -0.108 23.229 0.482 2012 7 27.595 3.854 1 0 NaN NaN 27.660 2.899 2012 8 22.631 -0.461 0 0 23.056 -0.035 24.091 -0.020 2012 9 18.937 -0.691 0 0 19.363 -0.265 20.593 -0.054 2012 10 11.845 -0.937 0 0 12.271 -0.511 13.236 -0.566 2012 11 4.730 -1.820 0 0 5.156 -1.395 6.785 -0.785 2012 12 5.797 4.208 0 0 6.223 4.634 6.487 3.878 2013 1 3.492 4.256 1 0 NaN NaN 2.168 1.913 2013 2 NaN NaN NaN NaN NaN NaN 2.159 -0.008 2013 3 NaN NaN NaN NaN NaN NaN 4.242 -3.087 2013 4 NaN NaN NaN NaN NaN NaN 13.657 0.248 2013 5 NaN NaN NaN NaN NaN NaN 18.988 0.646 2013 6 NaN NaN NaN NaN NaN NaN 23.463 0.715 2013 7 NaN NaN NaN NaN NaN NaN 23.865 -0.895 2013 8 NaN NaN NaN NaN NaN NaN 23.878 -0.233 2013 9 19.748 0.121 0 0 20.174 0.546 21.708 1.061 2013 10 13.265 0.483 1 0 NaN NaN 14.395 0.593 2013 11 10.417 3.866 1 0 NaN NaN NaN NaN