% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31616 % Primary Name: ETOILE % Record Type: TAVG % Country: United States % State: KY % Latitude: 36.82750 +/- 0.00005 % Longitude: -85.89750 +/- 0.00005 % Elevation (m): 243.84 +/- 0.15 % # of Months: 52 % % Alternate Names: Missing Station ID - 152575 % % IDs: coop - 152575 % ghcnd - USC00152575 % ncdc - 30014198 % nws - ETOK2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7f8021861db2f3b0fab5ff2389ddd5f7 % Raw Data Hash: 541e949adeeda1174bded58c8d1d0a6d % Adj Data Hash: 39912619ef1a9d2bb21238ef7a2707fa % % 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 2 NaN NaN NaN NaN NaN NaN 0.249 -3.246 2007 3 NaN NaN NaN NaN NaN NaN 12.699 4.476 2007 4 NaN NaN NaN NaN NaN NaN 12.638 -1.275 2007 5 NaN NaN NaN NaN NaN NaN 19.856 1.446 2007 6 NaN NaN NaN NaN NaN NaN 23.678 1.278 2007 7 NaN NaN NaN NaN NaN NaN 24.304 -0.018 2007 8 NaN NaN NaN NaN NaN NaN 27.765 3.877 2007 9 NaN NaN NaN NaN NaN NaN 23.113 2.434 2007 10 NaN NaN NaN NaN NaN NaN 17.072 3.055 2007 11 NaN NaN NaN NaN NaN NaN 8.867 0.645 2007 12 NaN NaN NaN NaN NaN NaN 7.095 3.344 2008 1 NaN NaN NaN NaN NaN NaN 1.191 -0.581 2008 2 4.111 0.900 0 0 4.053 0.841 4.470 0.975 2008 3 NaN NaN NaN NaN NaN NaN 8.723 0.500 2008 4 12.556 -1.074 0 0 12.497 -1.133 14.050 0.137 2008 5 17.667 -0.460 0 0 17.608 -0.518 17.698 -0.712 2008 6 26.278 4.162 0 0 26.219 4.103 23.847 1.448 2008 7 NaN NaN NaN NaN NaN NaN 24.296 -0.027 2008 8 25.722 2.118 0 0 25.664 2.060 23.692 -0.196 2008 9 24.111 3.716 0 0 24.053 3.657 22.293 1.614 2008 10 19.111 5.377 0 0 19.053 5.318 13.968 -0.050 2008 11 6.333 -1.606 0 0 6.275 -1.664 7.202 -1.021 2008 12 3.222 -0.245 0 0 3.164 -0.304 4.490 0.739 2009 1 -0.444 -1.932 0 0 -0.503 -1.991 0.414 -1.358 2009 2 4.056 0.844 0 0 3.997 0.786 4.299 0.805 2009 3 8.444 0.505 0 0 8.386 0.447 9.517 1.294 2009 4 13.111 -0.519 0 0 13.053 -0.577 13.977 0.063 2009 5 18.444 0.318 0 0 18.386 0.259 18.824 0.414 2009 6 23.333 1.218 0 0 23.275 1.159 24.064 1.664 2009 7 22.389 -1.650 0 0 22.330 -1.709 22.696 -1.626 2009 8 23.389 -0.215 0 0 23.330 -0.274 23.759 -0.129 2009 9 21.000 0.605 0 0 20.941 0.546 21.792 1.113 2009 10 12.167 -1.568 0 0 12.108 -1.626 13.144 -0.874 2009 11 9.556 1.616 0 0 9.497 1.558 10.285 2.063 2009 12 2.389 -1.079 0 0 2.330 -1.137 3.321 -0.430 2010 1 -1.056 -2.543 0 0 -1.114 -2.602 -0.776 -2.547 2010 2 -0.111 -3.322 0 0 -0.170 -3.381 -0.494 -3.989 2010 3 8.389 0.450 0 0 8.330 0.391 7.705 -0.518 2010 4 16.278 2.648 0 0 16.219 2.589 16.240 2.327 2010 5 20.167 2.040 0 0 20.108 1.982 20.166 1.756 2010 6 26.056 3.940 0 0 25.997 3.881 25.601 3.202 2010 7 26.889 2.850 0 0 26.830 2.791 26.354 2.032 2010 8 25.722 2.118 0 0 25.664 2.060 26.311 2.424 2010 9 20.000 -0.395 0 0 19.941 -0.454 22.224 1.545 2010 10 14.000 0.266 0 0 13.941 0.207 14.745 0.728 2010 11 8.944 1.005 0 0 8.886 0.947 10.120 1.897 2010 12 -1.222 -4.690 0 0 -1.281 -4.748 -0.327 -4.078 2011 1 -0.444 -1.932 0 0 -0.503 -1.991 -0.173 -1.944 2011 2 4.000 0.789 0 0 3.941 0.730 4.857 1.362 2011 3 9.667 1.727 0 0 9.608 1.669 9.820 1.597 2011 4 15.111 1.481 0 0 15.053 1.423 15.981 2.068 2011 5 18.444 0.318 0 0 18.386 0.259 18.429 0.019 2011 6 25.563 3.447 1 0 NaN NaN 24.272 1.872 2011 7 NaN NaN NaN NaN NaN NaN 26.332 2.009 2011 8 NaN NaN NaN NaN NaN NaN 25.132 1.244 2011 9 NaN NaN NaN NaN NaN NaN 20.266 -0.413 2011 10 NaN NaN NaN NaN NaN NaN 13.332 -0.685 2011 11 NaN NaN NaN NaN NaN NaN 10.731 2.508 2011 12 NaN NaN NaN NaN NaN NaN 6.095 2.344 2012 1 NaN NaN NaN NaN NaN NaN 4.600 2.829 2012 2 NaN NaN NaN NaN NaN NaN 5.609 2.114 2012 3 NaN NaN NaN NaN NaN NaN 14.810 6.588 2012 4 NaN NaN NaN NaN NaN NaN 15.628 1.714 2012 5 NaN NaN NaN NaN NaN NaN 20.989 2.579 2012 6 NaN NaN NaN NaN NaN NaN 23.018 0.619 2012 7 NaN NaN NaN NaN NaN NaN 26.883 2.560 2012 8 27.206 3.602 1 0 NaN NaN 23.733 -0.154 2012 9 16.366 -4.029 1 0 NaN NaN 20.748 0.069 2012 10 NaN NaN NaN NaN NaN NaN 13.347 -0.671 2012 11 5.417 -2.522 0 2 5.695 -2.244 7.620 -0.603 2012 12 7.108 3.641 1 0 NaN NaN 7.584 3.833 2013 1 2.585 1.097 0 0 2.863 1.375 3.923 2.152 2013 2 NaN NaN NaN NaN NaN NaN 3.487 -0.008 2013 3 3.983 -3.956 0 0 4.261 -3.678 5.174 -3.048 2013 4 13.193 -0.437 0 0 13.471 -0.159 14.010 0.097 2013 5 18.296 0.170 0 0 18.575 0.448 18.095 -0.315 2013 6 22.984 0.868 0 0 23.262 1.146 23.344 0.944 2013 7 NaN NaN NaN NaN NaN NaN 23.564 -0.759 2013 8 23.439 -0.165 0 0 23.717 0.113 23.511 -0.376 2013 9 21.243 0.848 0 0 21.521 1.126 21.699 1.020 2013 10 13.552 -0.182 1 0 NaN NaN 14.677 0.660 2013 11 12.367 4.428 1 0 NaN NaN NaN NaN