% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30367 % Primary Name: LINCOLNTON LINCOLN % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.48300 +/- 0.00050 % Longitude: -81.16400 +/- 0.00350 % Elevation (m): 266.85 +/- 0.20 % # of Months: 100 % % IDs: gsod - 722128-53899 % gsod - 722128-99999 % icao - KIPJ % usaf - 722128 % wban - 53899 % % Sources: Global Summary of the Day % % Site Hash: 4e6c8f2f6323170076bde3cc6053305f % Raw Data Hash: bd86a36ae517e927df20dd430803a534 % Adj Data Hash: 24c754c74d2343db6edc110d8ad5ed87 % % 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 2003 5 NaN NaN NaN NaN NaN NaN 16.424 -0.031 2003 6 NaN NaN NaN NaN NaN NaN 19.431 -0.559 2003 7 NaN NaN NaN NaN NaN NaN 21.962 0.028 2003 8 NaN NaN NaN NaN NaN NaN 22.753 1.168 2003 9 NaN NaN NaN NaN NaN NaN 18.450 -0.016 2003 10 NaN NaN NaN NaN NaN NaN 12.250 -0.198 2003 11 NaN NaN NaN NaN NaN NaN 11.172 3.885 2003 12 NaN NaN NaN NaN NaN NaN 2.187 -0.786 2004 1 NaN NaN NaN NaN NaN NaN 1.053 -0.466 2004 2 NaN NaN NaN NaN NaN NaN 1.871 -0.791 2004 3 NaN NaN NaN NaN NaN NaN 8.747 1.943 2004 4 NaN NaN NaN NaN NaN NaN 12.559 0.596 2004 5 25.206 6.379 1 0 NaN NaN 19.111 2.656 2004 6 23.446 1.083 0 0 23.061 0.698 20.592 0.602 2004 7 25.330 1.023 0 0 24.944 0.637 22.092 0.157 2004 8 23.403 -0.554 0 0 23.018 -0.940 20.811 -0.774 2004 9 21.113 0.275 0 0 20.727 -0.111 18.985 0.519 2004 10 16.966 2.146 0 0 16.580 1.760 14.601 2.154 2004 11 11.450 1.791 0 0 11.064 1.406 10.370 3.084 2004 12 5.344 -0.002 0 0 4.958 -0.388 3.200 0.226 2005 1 6.534 2.643 0 0 6.148 2.257 3.819 2.300 2005 2 7.090 2.056 1 0 NaN NaN 3.862 1.200 2005 3 9.235 0.058 0 0 8.849 -0.328 5.910 -0.895 2005 4 15.193 0.857 0 0 14.807 0.472 12.348 0.385 2005 5 18.167 -0.660 0 0 17.781 -1.046 15.152 -1.303 2005 6 23.074 0.711 0 0 22.688 0.326 20.411 0.421 2005 7 25.927 1.620 0 0 25.541 1.234 23.276 1.341 2005 8 25.819 1.861 0 0 25.433 1.476 23.284 1.699 2005 9 22.978 2.139 0 0 22.592 1.754 20.369 1.903 2005 10 16.314 1.494 0 0 15.928 1.108 14.122 1.675 2005 11 10.822 1.163 0 0 10.437 0.778 9.281 1.995 2005 12 3.891 -1.455 0 0 3.505 -1.841 1.828 -1.146 2006 1 8.104 4.212 0 0 7.718 3.827 5.442 3.923 2006 2 6.218 1.184 0 0 5.833 0.799 2.101 -0.561 2006 3 10.919 1.743 0 0 10.534 1.357 7.359 0.554 2006 4 17.707 3.372 0 0 17.322 2.987 14.767 2.804 2006 5 18.597 -0.230 0 0 18.211 -0.616 15.143 -1.312 2006 6 23.907 1.545 0 0 23.522 1.159 20.251 0.261 2006 7 25.774 1.467 0 0 25.389 1.082 22.595 0.661 2006 8 25.502 1.544 0 0 25.116 1.159 23.321 1.735 2006 9 20.563 -0.275 0 0 20.177 -0.661 17.748 -0.718 2006 10 14.005 -0.815 0 0 13.620 -1.200 11.609 -0.839 2006 11 10.200 0.541 0 0 9.814 0.156 9.027 1.740 2006 12 7.780 2.433 0 0 7.394 2.048 6.095 3.121 2007 1 6.733 2.842 0 0 6.347 2.456 3.594 2.075 2007 2 4.494 -0.540 0 0 4.108 -0.926 0.362 -2.299 2007 3 13.760 4.583 0 0 13.374 4.197 10.263 3.458 2007 4 15.081 0.746 0 0 14.696 0.361 11.615 -0.348 2007 5 19.656 0.829 0 0 19.270 0.443 17.136 0.681 2007 6 23.913 1.550 0 0 23.527 1.164 20.886 0.896 2007 7 24.403 0.096 0 0 24.018 -0.289 21.318 -0.617 2007 8 27.597 3.639 0 0 27.211 3.254 24.862 3.277 2007 9 22.967 2.128 0 0 22.581 1.743 20.413 1.947 2007 10 17.901 3.081 0 0 17.516 2.696 15.440 2.993 2007 11 9.543 -0.116 0 0 9.157 -0.502 7.757 0.470 2007 12 8.297 2.951 0 0 7.912 2.566 6.135 3.162 2008 1 4.242 0.350 0 0 3.856 -0.035 1.303 -0.216 2008 2 7.402 2.368 0 0 7.017 1.983 4.201 1.540 2008 3 11.125 1.949 0 0 10.740 1.563 7.255 0.450 2008 4 14.880 0.544 0 0 14.494 0.159 12.502 0.539 2008 5 19.319 0.492 0 0 18.933 0.106 15.939 -0.516 2008 6 25.278 2.915 0 0 24.892 2.529 21.877 1.887 2008 7 25.759 1.452 0 0 25.373 1.066 21.921 -0.014 2008 8 25.628 1.671 0 0 25.243 1.285 21.490 -0.095 2008 9 21.400 0.562 0 0 21.014 0.176 19.327 0.861 2008 10 14.109 -0.711 0 0 13.724 -1.096 11.779 -0.669 2008 11 7.998 -1.661 0 0 7.612 -2.046 6.292 -0.994 2008 12 7.625 2.279 0 0 7.240 1.894 4.848 1.875 2009 1 3.468 -0.424 1 0 NaN NaN 0.884 -0.635 2009 2 NaN NaN NaN NaN NaN NaN 2.698 0.036 2009 3 NaN NaN NaN NaN NaN NaN 7.650 0.845 2009 4 NaN NaN NaN NaN NaN NaN 12.427 0.465 2009 5 NaN NaN NaN NaN NaN NaN 16.986 0.532 2009 6 NaN NaN NaN NaN NaN NaN 21.185 1.195 2009 7 NaN NaN NaN NaN NaN NaN 20.752 -1.182 2009 8 NaN NaN NaN NaN NaN NaN 22.250 0.665 2009 9 NaN NaN NaN NaN NaN NaN 18.944 0.478 2009 10 NaN NaN NaN NaN NaN NaN 12.224 -0.223 2009 11 NaN NaN NaN NaN NaN NaN 9.766 2.480 2009 12 NaN NaN NaN NaN NaN NaN 1.973 -1.001 2010 1 NaN NaN NaN NaN NaN NaN -0.560 -2.079 2010 2 NaN NaN NaN NaN NaN NaN -1.047 -3.708 2010 3 NaN NaN NaN NaN NaN NaN 6.748 -0.056 2010 4 NaN NaN NaN NaN NaN NaN 14.413 2.451 2010 5 20.707 1.880 0 2 21.255 2.428 18.342 1.887 2010 6 25.994 3.631 0 0 26.542 4.179 22.907 2.917 2010 7 26.244 1.937 0 0 26.792 2.485 23.959 2.025 2010 8 25.690 1.732 0 0 26.238 2.280 23.508 1.923 2010 9 22.278 1.439 0 0 22.826 1.987 20.271 1.805 2010 10 15.382 0.562 0 0 15.930 1.110 13.428 0.981 2010 11 8.770 -0.888 0 0 9.318 -0.340 8.353 1.067 2010 12 0.591 -4.755 0 0 1.139 -4.207 -1.500 -4.474 2011 1 1.849 -2.042 0 0 2.398 -1.494 -0.078 -1.598 2011 2 7.502 2.468 0 0 8.050 3.016 4.569 1.907 2011 3 10.206 1.029 0 0 10.754 1.577 7.960 1.156 2011 4 16.269 1.933 0 0 16.817 2.481 14.405 2.443 2011 5 19.427 0.599 0 0 19.975 1.147 17.139 0.684 2011 6 23.944 1.582 0 0 24.493 2.130 21.869 1.879 2011 7 25.862 1.555 0 0 26.410 2.103 23.802 1.868 2011 8 24.434 0.476 0 0 24.982 1.024 22.784 1.199 2011 9 20.241 -0.598 0 0 20.789 -0.050 19.181 0.715 2011 10 13.199 -1.621 0 0 13.747 -1.073 12.080 -0.368 2011 11 10.000 0.341 0 0 10.548 0.889 9.417 2.131 2011 12 7.378 2.032 0 0 7.926 2.580 5.955 2.981 2012 1 5.611 1.720 0 0 6.159 2.268 3.843 2.324 2012 2 6.962 1.928 0 0 7.510 2.476 4.851 2.190 2012 3 14.401 5.225 0 0 14.949 5.773 12.503 5.698 2012 4 14.931 0.596 0 0 15.480 1.144 13.502 1.539 2012 5 20.335 1.508 0 0 20.883 2.056 18.610 2.155 2012 6 21.653 -0.710 0 0 22.201 -0.161 20.107 0.116 2012 7 25.382 1.076 0 0 25.931 1.624 23.838 1.903 2012 8 23.084 -0.873 1 0 NaN NaN 21.550 -0.036 2012 9 20.459 -0.380 0 0 21.007 0.168 18.793 0.327 2012 10 13.882 -0.938 0 0 14.430 -0.390 12.258 -0.190 2012 11 7.154 -2.505 0 0 7.702 -1.957 6.697 -0.589 2012 12 7.597 2.251 0 0 8.145 2.799 5.974 3.000 2013 1 6.159 2.268 0 0 6.708 2.816 4.394 2.875 2013 2 4.631 -0.403 0 0 5.179 0.145 2.219 -0.442 2013 3 6.355 -2.822 0 0 6.903 -2.274 3.650 -3.155 2013 4 14.654 0.319 0 0 15.202 0.867 12.420 0.457 2013 5 17.833 -0.994 0 0 18.381 -0.446 15.779 -0.676 2013 6 22.635 0.272 0 0 23.183 0.820 20.780 0.790 2013 7 24.653 0.346 1 0 NaN NaN 22.086 0.151 2013 8 22.498 -1.460 0 0 23.046 -0.912 21.238 -0.347 2013 9 21.730 0.892 1 0 NaN NaN 18.850 0.384 2013 10 15.564 0.745 1 0 NaN NaN 13.359 0.911 2013 11 11.161 1.502 1 0 NaN NaN NaN NaN