% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33428 % Primary Name: LLOYD GREENUP DAM % Record Type: TAVG % Country: United States % State: KY % Latitude: 38.64390 +/- 0.00005 % Longitude: -82.86280 +/- 0.00005 % Elevation (m): 163.70 +/- 0.05 % # of Months: 14 % % IDs: coop - 154848 % ghcnd - USC00154848 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: 23a34546437a49cc7fb90fd97c0dc748 % Raw Data Hash: e4e7547947c71a3a6abd835321b6ba0a % Adj Data Hash: ce32006d1712e8c38913afdea2815351 % % 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 2009 6 NaN NaN NaN NaN NaN NaN 22.426 0.889 2009 7 NaN NaN NaN NaN NaN NaN 21.529 -1.992 2009 8 NaN NaN NaN NaN NaN NaN 22.628 -0.130 2009 9 NaN NaN NaN NaN NaN NaN 19.796 0.573 2009 10 NaN NaN NaN NaN NaN NaN 11.097 -1.372 2009 11 NaN NaN NaN NaN NaN NaN 9.083 2.896 2009 12 NaN NaN NaN NaN NaN NaN 0.501 -0.156 2010 1 NaN NaN NaN NaN NaN NaN -3.445 -1.584 2010 2 NaN NaN NaN NaN NaN NaN -3.263 -3.012 2010 3 NaN NaN NaN NaN NaN NaN 6.909 1.697 2010 4 NaN NaN NaN NaN NaN NaN 14.395 2.980 2010 5 NaN NaN NaN NaN NaN NaN 18.760 1.803 2010 6 23.676 2.204 0 0 23.676 2.204 24.035 2.498 2010 7 NaN NaN NaN NaN NaN NaN 25.081 1.560 2010 8 24.410 1.716 0 0 24.410 1.716 24.506 1.748 2010 9 NaN NaN NaN NaN NaN NaN 20.649 1.426 2010 10 NaN NaN NaN NaN NaN NaN 13.808 1.339 2010 11 NaN NaN NaN NaN NaN NaN 6.938 0.751 2010 12 NaN NaN NaN NaN NaN NaN -2.912 -3.569 2011 1 NaN NaN NaN NaN NaN NaN -3.767 -1.906 2011 2 NaN NaN NaN NaN NaN NaN 0.795 1.046 2011 3 NaN NaN NaN NaN NaN NaN 6.300 1.088 2011 4 NaN NaN NaN NaN NaN NaN 13.392 1.977 2011 5 NaN NaN NaN NaN NaN NaN 17.479 0.522 2011 6 22.223 0.751 0 0 22.223 0.751 22.641 1.104 2011 7 25.556 2.098 1 0 NaN NaN 26.274 2.752 2011 8 NaN NaN NaN NaN NaN NaN 23.351 0.592 2011 9 NaN NaN NaN NaN NaN NaN 19.284 0.061 2011 10 NaN NaN NaN NaN NaN NaN 12.291 -0.178 2011 11 NaN NaN NaN NaN NaN NaN 9.731 3.544 2011 12 NaN NaN NaN NaN NaN NaN 3.944 3.287 2012 1 NaN NaN NaN NaN NaN NaN 0.862 2.722 2012 2 NaN NaN NaN NaN NaN NaN 2.283 2.534 2012 3 12.700 7.552 0 0 12.700 7.552 12.512 7.299 2012 4 12.022 0.672 0 0 12.022 0.672 11.748 0.334 2012 5 20.173 3.280 0 0 20.173 3.280 20.342 3.385 2012 6 22.040 0.567 0 0 22.040 0.567 22.422 0.886 2012 7 NaN NaN NaN NaN NaN NaN 26.374 2.852 2012 8 NaN NaN NaN NaN NaN NaN 23.149 0.391 2012 9 NaN NaN NaN NaN NaN NaN 19.159 -0.065 2012 10 NaN NaN NaN NaN NaN NaN 12.219 -0.250 2012 11 5.429 -0.693 0 0 5.429 -0.693 5.629 -0.558 2012 12 NaN NaN NaN NaN NaN NaN 4.344 3.687 2013 1 NaN NaN NaN NaN NaN NaN 0.050 1.910 2013 2 1.157 1.472 1 0 NaN NaN -0.811 -0.560 2013 3 3.310 -1.838 0 0 3.310 -1.838 2.968 -2.245 2013 4 12.477 1.127 0 0 12.477 1.127 12.299 0.884 2013 5 NaN NaN NaN NaN NaN NaN 18.206 1.249 2013 6 NaN NaN NaN NaN NaN NaN 22.206 0.669 2013 7 NaN NaN NaN NaN NaN NaN 23.353 -0.169 2013 8 NaN NaN NaN NaN NaN NaN 22.305 -0.453 2013 9 NaN NaN NaN NaN NaN NaN 19.741 0.518 2013 10 14.198 1.793 1 0 NaN NaN 13.273 0.804 2013 11 10.067 3.944 1 0 NaN NaN NaN NaN