% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33077 % Primary Name: HILLSBORO % Record Type: TAVG % Country: United States % State: KY % Latitude: 38.32170 +/- 0.00005 % Longitude: -83.66420 +/- 0.00005 % Elevation (m): 243.84 +/- 0.15 % # of Months: 62 % % Alternate Names: Missing Station ID - 153840 % % IDs: coop - 153840 % ghcnd - USC00153840 % ncdc - 30014179 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d3b1dbdeaec031f5b3817d5173324c75 % Raw Data Hash: 92678ed05147c113fe60dd560c2bce61 % Adj Data Hash: 769a80b80fe2f8168dcc2e90099c572b % % 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 2007 1 NaN NaN NaN NaN NaN NaN 2.797 2.486 2007 2 NaN NaN NaN NaN NaN NaN -2.601 -4.540 2007 3 NaN NaN NaN NaN NaN NaN 11.048 4.005 2007 4 NaN NaN NaN NaN NaN NaN 12.151 -0.677 2007 5 NaN NaN NaN NaN NaN NaN 19.406 1.672 2007 6 NaN NaN NaN NaN NaN NaN 23.118 1.308 2007 7 NaN NaN NaN NaN NaN NaN 23.371 -0.530 2007 8 NaN NaN NaN NaN NaN NaN 26.643 3.250 2007 9 NaN NaN NaN NaN NaN NaN 22.351 2.320 2007 10 NaN NaN NaN NaN NaN NaN 16.651 3.435 2007 11 NaN NaN NaN NaN NaN NaN 8.100 0.866 2007 12 NaN NaN NaN NaN NaN NaN 5.229 2.831 2008 1 -0.833 0.246 0 0 -0.850 0.229 0.101 -0.210 2008 2 0.667 0.117 0 0 0.650 0.100 2.473 0.534 2008 3 5.000 -0.653 0 0 4.983 -0.670 7.190 0.147 2008 4 11.944 0.506 0 0 11.928 0.489 13.745 0.917 2008 5 NaN NaN NaN NaN NaN NaN 16.175 -1.559 2008 6 22.333 1.913 0 0 22.317 1.896 23.298 1.488 2008 7 22.833 0.322 0 0 22.817 0.306 23.590 -0.310 2008 8 21.833 -0.170 0 0 21.817 -0.186 22.999 -0.394 2008 9 20.611 1.970 0 0 20.594 1.953 22.202 2.171 2008 10 12.278 0.451 0 0 12.261 0.434 13.222 0.006 2008 11 4.611 -1.233 0 0 4.594 -1.250 6.367 -0.867 2008 12 1.556 0.547 0 0 1.539 0.530 3.091 0.693 2009 1 -2.667 -1.588 0 0 -2.683 -1.604 -1.623 -1.934 2009 2 1.778 1.228 0 0 1.761 1.211 2.557 0.618 2009 3 7.556 1.902 0 0 7.539 1.886 8.548 1.505 2009 4 11.889 0.450 0 0 11.872 0.434 13.469 0.640 2009 5 16.444 0.100 0 0 16.428 0.083 18.168 0.434 2009 6 21.167 0.746 0 0 21.150 0.730 22.795 0.985 2009 7 20.111 -2.400 0 0 20.094 -2.416 22.014 -1.887 2009 8 22.111 0.108 0 0 22.094 0.092 23.208 -0.185 2009 9 19.167 0.526 0 0 19.150 0.509 20.986 0.956 2009 10 10.444 -1.382 0 0 10.428 -1.399 12.165 -1.051 2009 11 7.778 1.933 0 0 7.761 1.917 9.693 2.459 2009 12 0.833 -0.175 0 0 0.817 -0.192 2.101 -0.298 2010 1 -3.056 -1.977 0 0 -3.072 -1.993 -1.527 -1.837 2010 2 -2.833 -3.383 0 0 -2.850 -3.400 -1.565 -3.504 2010 3 6.667 1.013 0 0 6.650 0.997 7.915 0.872 2010 4 13.333 1.895 0 0 13.317 1.878 15.546 2.718 2010 5 NaN NaN NaN NaN NaN NaN 19.548 1.814 2010 6 24.222 3.802 0 0 24.206 3.785 24.740 2.930 2010 7 25.111 2.600 0 0 25.094 2.584 25.382 1.481 2010 8 24.222 2.219 0 0 24.206 2.203 25.312 1.920 2010 9 19.333 0.692 0 0 19.317 0.676 21.434 1.404 2010 10 12.500 0.673 0 1 12.520 0.693 14.337 1.121 2010 11 6.556 0.711 0 0 6.575 0.731 8.726 1.492 2010 12 -4.333 -5.342 0 0 -4.313 -5.322 -2.008 -4.406 2011 1 -3.169 -2.090 0 0 -3.149 -2.071 -1.427 -1.738 2011 2 1.889 1.339 0 0 1.909 1.359 3.465 1.525 2011 3 6.722 1.069 0 0 6.742 1.089 8.567 1.524 2011 4 12.889 1.450 0 0 12.909 1.470 15.054 2.226 2011 5 17.278 0.933 0 0 17.298 0.953 17.878 0.144 2011 6 22.389 1.969 0 0 22.409 1.989 23.074 1.264 2011 7 26.000 3.489 0 0 26.020 3.509 25.943 2.043 2011 8 22.579 0.576 0 0 22.599 0.596 24.019 0.626 2011 9 17.556 -1.085 0 0 17.575 -1.066 20.098 0.067 2011 10 12.056 0.229 0 0 12.075 0.249 12.781 -0.435 2011 11 8.500 2.656 0 0 8.520 2.675 10.255 3.020 2011 12 3.474 2.466 0 0 3.494 2.486 5.303 2.905 2012 1 1.090 2.169 0 0 1.110 2.189 2.992 2.682 2012 2 NaN NaN NaN NaN NaN NaN 4.027 2.087 2012 3 12.981 7.328 0 0 13.001 7.348 13.968 6.925 2012 4 11.267 -0.171 1 0 NaN NaN 13.649 0.821 2012 5 19.558 3.213 0 0 19.577 3.233 20.468 2.734 2012 6 21.153 0.733 0 0 21.173 0.753 22.236 0.426 2012 7 NaN NaN NaN NaN NaN NaN 26.258 2.357 2012 8 22.400 0.397 0 0 22.420 0.417 23.451 0.059 2012 9 18.281 -0.360 0 0 18.301 -0.340 20.046 0.015 2012 10 10.771 -1.056 0 0 10.791 -1.036 12.836 -0.381 2012 11 NaN NaN NaN NaN NaN NaN 6.493 -0.741 2012 12 4.690 3.682 0 0 4.710 3.702 6.103 3.705 2013 1 1.279 2.358 0 0 1.299 2.378 2.161 1.850 2013 2 -0.195 -0.745 1 0 NaN NaN 1.694 -0.245 2013 3 1.463 -4.190 1 0 NaN NaN 3.953 -3.090 2013 4 NaN NaN NaN NaN NaN NaN 13.428 0.600 2013 5 NaN NaN NaN NaN NaN NaN 18.092 0.358 2013 6 22.250 1.830 0 0 22.270 1.850 22.748 0.938 2013 7 23.494 0.983 0 0 23.513 1.002 23.816 -0.085 2013 8 22.189 0.186 1 0 NaN NaN 22.960 -0.433 2013 9 20.210 1.569 1 0 NaN NaN 20.608 0.577 2013 10 NaN NaN NaN NaN NaN NaN 14.166 0.949