% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171396 % Primary Name: JEFFERSON CO TOWER TENNESSEE % Record Type: TAVG % Country: United States % State: TN % Latitude: 36.07030 +/- 0.00005 % Longitude: -83.48860 +/- 0.00005 % Elevation (m): 533.40 +/- 0.50 % # of Months: 65 % % IDs: ghcnd - USR0000TJCT % % Sources: Global Historical Climatology Network - Daily % % Site Hash: d8131e02ff4a3e0d3c2ded0e675d773e % Raw Data Hash: d61fc48445fea40293a564be54381e04 % Adj Data Hash: 980c0cd7ef3116458fcf36fe980817f3 % % 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 2002 10 NaN NaN NaN NaN NaN NaN 15.727 2.357 2002 11 NaN NaN NaN NaN NaN NaN 6.904 -0.685 2002 12 NaN NaN NaN NaN NaN NaN 3.394 0.208 2003 1 NaN NaN NaN NaN NaN NaN -0.787 -2.467 2003 2 NaN NaN NaN NaN NaN NaN 2.863 -0.451 2003 3 NaN NaN NaN NaN NaN NaN 10.739 2.884 2003 4 NaN NaN NaN NaN NaN NaN 14.633 1.414 2003 5 NaN NaN NaN NaN NaN NaN 18.273 0.495 2003 6 NaN NaN NaN NaN NaN NaN 20.935 -0.721 2003 7 NaN NaN NaN NaN NaN NaN 23.418 -0.172 2003 8 NaN NaN NaN NaN NaN NaN 24.257 1.029 2003 9 NaN NaN NaN NaN NaN NaN 20.067 -0.057 2003 10 16.567 1.802 1 0 NaN NaN 13.350 -0.020 2003 11 12.107 3.123 0 0 12.224 3.240 11.041 3.451 2003 12 3.773 -0.808 0 0 3.890 -0.690 2.609 -0.577 2004 1 2.326 -0.749 0 0 2.443 -0.631 1.190 -0.490 2004 2 4.588 -0.120 0 0 4.706 -0.002 2.997 -0.316 2004 3 11.816 2.567 0 0 11.934 2.684 10.308 2.453 2004 4 15.417 0.803 0 0 15.534 0.921 13.488 0.269 2004 5 21.629 2.456 0 0 21.747 2.573 20.153 2.374 2004 6 22.923 -0.127 0 0 23.041 -0.010 22.302 0.646 2004 7 24.173 -0.812 0 0 24.291 -0.694 23.506 -0.085 2004 8 22.876 -1.746 0 0 22.993 -1.628 22.098 -1.129 2004 9 21.047 -0.471 0 0 21.164 -0.354 20.739 0.615 2004 10 17.548 2.784 1 0 NaN NaN 16.025 2.655 2004 11 12.000 3.016 0 0 12.118 3.133 10.951 3.361 2004 12 4.153 -0.427 0 0 4.271 -0.310 3.058 -0.128 2005 1 5.494 2.419 0 0 5.611 2.537 4.346 2.666 2005 2 6.220 1.512 0 0 6.337 1.629 4.798 1.485 2005 3 8.948 -0.301 0 0 9.066 -0.183 7.053 -0.801 2005 4 15.013 0.400 1 0 NaN NaN 13.568 0.349 2005 5 18.071 -1.102 0 0 18.189 -0.985 16.180 -1.599 2005 6 23.388 0.338 0 0 23.506 0.455 22.564 0.908 2005 7 25.010 0.025 1 0 NaN NaN 24.758 1.167 2005 8 NaN NaN NaN NaN NaN NaN 25.084 1.857 2005 9 NaN NaN NaN NaN NaN NaN 22.473 2.350 2005 10 NaN NaN NaN NaN NaN NaN 14.683 1.313 2005 11 NaN NaN NaN NaN NaN NaN 9.545 1.955 2005 12 3.002 -1.579 0 0 3.119 -1.461 1.861 -1.325 2006 1 7.594 4.519 0 0 7.711 4.637 5.762 4.082 2006 2 4.604 -0.105 0 0 4.721 0.013 2.253 -1.060 2006 3 10.097 0.847 0 0 10.214 0.965 8.496 0.641 2006 4 17.825 3.211 0 0 17.943 3.329 16.150 2.931 2006 5 18.179 -0.994 0 0 18.297 -0.877 16.764 -1.014 2006 6 23.117 0.066 0 0 23.234 0.184 21.811 0.155 2006 7 25.671 0.686 0 0 25.789 0.803 24.350 0.759 2006 8 25.971 1.349 0 0 26.089 1.467 25.232 2.005 2006 9 19.415 -2.103 0 0 19.533 -1.985 19.129 -0.994 2006 10 13.873 -0.892 0 0 13.990 -0.774 12.302 -1.068 2006 11 10.312 1.328 0 0 10.429 1.445 8.917 1.327 2006 12 3.771 -0.809 1 0 NaN NaN 5.848 2.662 2007 1 NaN NaN NaN NaN NaN NaN 3.484 1.804 2007 2 NaN NaN NaN NaN NaN NaN 0.704 -2.610 2007 3 NaN NaN NaN NaN NaN NaN 11.948 4.093 2007 4 NaN NaN NaN NaN NaN NaN 12.173 -1.046 2007 5 NaN NaN NaN NaN NaN NaN 19.156 1.378 2007 6 NaN NaN NaN NaN NaN NaN 22.825 1.169 2007 7 NaN NaN NaN NaN NaN NaN 23.198 -0.393 2007 8 NaN NaN NaN NaN NaN NaN 26.483 3.256 2007 9 NaN NaN NaN NaN NaN NaN 22.520 2.396 2007 10 NaN NaN NaN NaN NaN NaN 16.674 3.304 2007 11 NaN NaN NaN NaN NaN NaN 8.177 0.587 2007 12 NaN NaN NaN NaN NaN NaN 6.366 3.180 2008 1 2.925 -0.150 1 0 NaN NaN 1.130 -0.550 2008 2 6.009 1.301 0 2 5.878 1.170 4.510 1.197 2008 3 10.031 0.781 0 0 9.900 0.651 8.098 0.243 2008 4 15.302 0.688 0 0 15.171 0.557 14.027 0.808 2008 5 18.911 -0.262 0 0 18.781 -0.393 17.020 -0.759 2008 6 24.990 1.940 0 0 24.859 1.809 23.215 1.559 2008 7 25.289 0.303 0 0 25.158 0.173 23.459 -0.132 2008 8 25.403 0.782 0 0 25.273 0.651 23.237 0.010 2008 9 22.587 1.069 0 0 22.456 0.938 21.679 1.555 2008 10 15.508 0.744 0 0 15.377 0.613 13.116 -0.254 2008 11 8.128 -0.856 0 0 7.998 -0.987 6.573 -1.016 2008 12 5.535 0.955 0 0 5.405 0.824 4.740 1.554 2009 1 1.860 -1.215 0 0 1.729 -1.346 0.743 -0.937 2009 2 5.930 1.222 0 0 5.800 1.092 3.414 0.101 2009 3 10.766 1.517 0 0 10.635 1.386 9.141 1.287 2009 4 15.287 0.673 0 0 15.156 0.542 13.355 0.136 2009 5 19.456 0.283 0 0 19.326 0.152 18.223 0.444 2009 6 23.837 0.786 0 0 23.706 0.655 22.948 1.292 2009 7 22.911 -2.074 0 0 22.781 -2.205 22.064 -1.527 2009 8 23.935 -0.686 0 0 23.805 -0.817 23.267 0.040 2009 9 21.028 -0.490 0 0 20.898 -0.620 21.003 0.879 2009 10 14.513 -0.252 0 0 14.382 -0.382 12.887 -0.483 2009 11 12.033 3.049 0 0 11.903 2.918 9.856 2.266 2009 12 3.616 -0.964 0 0 3.485 -1.095 2.743 -0.443 2010 1 1.102 -1.973 0 0 0.971 -2.104 -0.533 -2.213 2010 2 0.905 -3.803 0 0 0.775 -3.933 -0.470 -3.783 2010 3 9.102 -0.148 0 0 8.971 -0.278 7.174 -0.681 2010 4 18.223 3.610 0 0 18.093 3.479 15.416 2.197 2010 5 20.485 1.312 1 0 NaN NaN 19.690 1.911 2010 6 NaN NaN NaN NaN NaN NaN 24.544 2.888 2010 7 28.400 3.415 1 0 NaN NaN 25.540 1.949 2010 8 NaN NaN NaN NaN NaN NaN 25.556 2.328 2010 9 NaN NaN NaN NaN NaN NaN 21.485 1.361 2010 10 NaN NaN NaN NaN NaN NaN 13.650 0.281 2010 11 NaN NaN NaN NaN NaN NaN 9.220 1.630 2010 12 NaN NaN NaN NaN NaN NaN -1.354 -4.540 2011 1 NaN NaN NaN NaN NaN NaN -0.060 -1.740 2011 2 NaN NaN NaN NaN NaN NaN 5.020 1.707 2011 3 NaN NaN NaN NaN NaN NaN 9.597 1.742 2011 4 NaN NaN NaN NaN NaN NaN 15.510 2.291 2011 5 NaN NaN NaN NaN NaN NaN 18.164 0.386 2011 6 NaN NaN NaN NaN NaN NaN 23.380 1.725 2011 7 NaN NaN NaN NaN NaN NaN 25.507 1.916