% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30460 % Primary Name: JACKSON 4SE % Record Type: TAVG % Country: United States % State: TN % Latitude: 35.55000 +/- 0.00005 % Longitude: -88.71690 +/- 0.00005 % Elevation (m): 121.01 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 404567 % % IDs: coop - 404567 % ghcnd - USC00404567 % ncdc - 30002396 % nws - BEMT1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7ae3849373ac89b1b249fd5506ea8c2d % Raw Data Hash: 9c239a56ba38ab634452817542716182 % Adj Data Hash: a17996030761af080574d6915bb36bb2 % % 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 7 NaN NaN NaN NaN NaN NaN 27.282 0.570 2008 8 NaN NaN NaN NaN NaN NaN 25.576 -0.165 2008 9 NaN NaN NaN NaN NaN NaN 23.022 0.911 2008 10 NaN NaN NaN NaN NaN NaN 15.773 0.113 2008 11 NaN NaN NaN NaN NaN NaN 8.693 -0.576 2008 12 NaN NaN NaN NaN NaN NaN 4.032 -0.248 2009 1 NaN NaN NaN NaN NaN NaN 0.917 -1.133 2009 2 NaN NaN NaN NaN NaN NaN 6.043 1.688 2009 3 NaN NaN NaN NaN NaN NaN 10.691 1.435 2009 4 NaN NaN NaN NaN NaN NaN 15.535 0.032 2009 5 NaN NaN NaN NaN NaN NaN 20.225 -0.274 2009 6 NaN NaN NaN NaN NaN NaN 26.803 1.882 2009 7 24.944 -1.873 0 0 25.041 -1.776 25.200 -1.513 2009 8 25.111 -0.734 0 0 25.208 -0.637 24.827 -0.914 2009 9 22.833 0.617 0 0 22.930 0.714 22.935 0.824 2009 10 13.722 -2.042 0 0 13.819 -1.945 14.039 -1.620 2009 11 10.556 1.182 0 0 10.653 1.279 12.031 2.762 2009 12 3.556 -0.829 0 0 3.653 -0.732 3.035 -1.245 2010 1 0.389 -1.766 0 0 0.486 -1.669 0.063 -1.987 2010 2 1.000 -3.460 0 0 1.097 -3.363 0.678 -3.678 2010 3 9.667 0.306 0 0 9.764 0.403 9.544 0.288 2010 4 17.444 1.837 0 0 17.541 1.934 17.977 2.475 2010 5 22.333 1.730 0 0 22.430 1.827 22.065 1.566 2010 6 28.111 3.085 0 0 28.208 3.182 28.426 3.505 2010 7 28.556 1.738 0 0 28.653 1.835 28.260 1.547 2010 8 29.700 3.854 1 0 NaN NaN 28.432 2.691 2010 9 NaN NaN NaN NaN NaN NaN 23.732 1.620 2010 10 NaN NaN NaN NaN NaN NaN 16.763 1.104 2010 11 NaN NaN NaN NaN NaN NaN 10.704 1.435 2010 12 NaN NaN NaN NaN NaN NaN 1.454 -2.826 2011 1 NaN NaN NaN NaN NaN NaN 0.644 -1.407 2011 2 NaN NaN NaN NaN NaN NaN 5.153 0.798 2011 3 NaN NaN NaN NaN NaN NaN 10.074 0.817 2011 4 NaN NaN NaN NaN NaN NaN 17.577 2.074 2011 5 NaN NaN NaN NaN NaN NaN 19.697 -0.802 2011 6 NaN NaN NaN NaN NaN NaN 27.527 2.606 2011 7 NaN NaN NaN NaN NaN NaN 28.841 2.129 2011 8 NaN NaN NaN NaN NaN NaN 27.037 1.296 2011 9 NaN NaN NaN NaN NaN NaN 21.429 -0.683 2011 10 NaN NaN NaN NaN NaN NaN 15.406 -0.253 2011 11 NaN NaN NaN NaN NaN NaN 11.560 2.291 2011 12 NaN NaN NaN NaN NaN NaN 5.917 1.637 2012 1 NaN NaN NaN NaN NaN NaN 5.215 3.165 2012 2 NaN NaN NaN NaN NaN NaN 6.830 2.475 2012 3 NaN NaN NaN NaN NaN NaN 16.371 7.115 2012 4 NaN NaN NaN NaN NaN NaN 17.442 1.939 2012 5 NaN NaN NaN NaN NaN NaN 23.220 2.721 2012 6 NaN NaN NaN NaN NaN NaN 25.464 0.543 2012 7 NaN NaN NaN NaN NaN NaN 29.180 2.468 2012 8 NaN NaN NaN NaN NaN NaN 26.429 0.688 2012 9 NaN NaN NaN NaN NaN NaN 22.381 0.270 2012 10 NaN NaN NaN NaN NaN NaN 14.874 -0.786 2012 11 NaN NaN NaN NaN NaN NaN 8.815 -0.454 2012 12 1.700 -2.684 1 0 NaN NaN 7.852 3.573 2013 1 5.079 2.924 0 2 4.953 2.798 3.667 1.617 2013 2 5.175 0.715 0 0 5.049 0.589 4.462 0.107 2013 3 6.889 -2.472 0 0 6.763 -2.599 6.123 -3.133 2013 4 15.065 -0.542 0 0 14.939 -0.669 14.672 -0.830 2013 5 19.576 -1.028 0 0 19.450 -1.154 19.986 -0.513 2013 6 24.605 -0.421 0 0 24.479 -0.547 25.768 0.847 2013 7 25.113 -1.705 0 0 24.987 -1.831 25.359 -1.354 2013 8 26.131 0.285 0 0 26.004 0.159 25.283 -0.458 2013 9 23.488 1.272 0 0 23.362 1.146 23.467 1.356 2013 10 17.140 1.376 0 0 17.014 1.250 16.207 0.548 2013 11 13.090 3.716 1 0 NaN NaN NaN NaN