% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29185 % Primary Name: MULLINS % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.19440 +/- 0.00005 % Longitude: -79.24720 +/- 0.00005 % Elevation (m): 33.53 +/- 0.15 % # of Months: 107 % % Alternate Names: MULLINS 4 W % Missing Station ID - 386114 % % IDs: coop - 386114 % ghcnd - USC00386114 % ncdc - 20017459 % nws - MULS1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: dcf129caf3ae95535de0059141d4d390 % Raw Data Hash: b87882bce7d3bdc21ef9f3a5d158892f % Adj Data Hash: 17b1e257266ed84b210be61fb9104ecc % % 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 2004 1 NaN NaN NaN NaN NaN NaN 5.067 -0.916 2004 2 NaN NaN NaN NaN NaN NaN 5.834 -1.523 2004 3 NaN NaN NaN NaN NaN NaN 13.430 1.756 2004 4 NaN NaN NaN NaN NaN NaN 17.574 0.760 2004 5 NaN NaN NaN NaN NaN NaN 24.183 2.899 2004 6 NaN NaN NaN NaN NaN NaN 26.025 1.290 2004 7 NaN NaN NaN NaN NaN NaN 27.254 0.688 2004 8 NaN NaN NaN NaN NaN NaN 25.307 -0.780 2004 9 NaN NaN NaN NaN NaN NaN 23.593 0.554 2004 10 NaN NaN NaN NaN NaN NaN 18.390 1.704 2004 11 NaN NaN NaN NaN NaN NaN 13.911 2.360 2004 12 NaN NaN NaN NaN NaN NaN 6.898 -0.158 2005 1 8.278 2.596 0 0 8.060 2.378 7.762 1.779 2005 2 8.722 1.667 0 0 8.504 1.449 8.085 0.728 2005 3 11.056 -0.317 0 0 10.837 -0.535 10.978 -0.696 2005 4 15.778 -0.734 0 0 15.560 -0.952 16.569 -0.245 2005 5 19.444 -1.537 0 0 19.226 -1.755 19.775 -1.509 2005 6 24.556 0.123 0 0 24.337 -0.095 25.004 0.269 2005 7 27.944 1.679 0 0 27.726 1.461 28.111 1.545 2005 8 27.167 1.381 0 0 26.948 1.163 27.466 1.379 2005 9 25.556 2.818 0 0 25.337 2.600 25.929 2.890 2005 10 18.286 1.902 0 0 18.068 1.684 17.915 1.230 2005 11 12.944 1.695 0 0 12.726 1.477 13.399 1.848 2005 12 6.333 -0.421 0 0 6.115 -0.639 6.289 -0.767 2006 1 9.667 3.985 0 0 9.448 3.767 9.634 3.651 2006 2 7.278 0.222 0 0 7.060 0.004 6.833 -0.524 2006 3 12.111 0.739 0 0 11.893 0.521 12.054 0.380 2006 4 18.667 2.155 0 0 18.448 1.936 19.115 2.301 2006 5 20.444 -0.537 0 0 20.226 -0.755 20.330 -0.954 2006 6 24.944 0.512 0 0 24.726 0.293 24.704 -0.031 2006 7 27.278 1.013 0 0 27.060 0.795 27.246 0.679 2006 8 27.556 1.770 0 0 27.337 1.552 27.614 1.527 2006 9 22.222 -0.515 0 0 22.004 -0.733 22.874 -0.165 2006 10 16.389 0.005 0 0 16.171 -0.213 15.901 -0.785 2006 11 12.056 0.806 0 0 11.837 0.588 12.863 1.313 2006 12 10.389 3.635 0 0 10.171 3.416 10.150 3.095 2007 1 8.611 2.930 0 0 8.393 2.712 8.523 2.540 2007 2 6.056 -1.000 0 0 5.837 -1.218 5.866 -1.491 2007 3 14.056 2.683 0 0 13.837 2.465 14.405 2.731 2007 4 15.833 -0.679 0 0 15.615 -0.897 16.578 -0.235 2007 5 21.556 0.574 0 0 21.337 0.356 20.961 -0.322 2007 6 25.111 0.678 0 0 24.893 0.460 25.306 0.572 2007 7 26.389 0.124 0 0 26.171 -0.094 26.341 -0.226 2007 8 29.000 3.215 0 0 28.782 2.996 29.421 3.334 2007 9 24.222 1.485 0 0 24.004 1.267 24.923 1.884 2007 10 20.778 4.394 0 0 20.560 4.176 20.113 3.428 2007 11 11.500 0.251 0 0 11.282 0.033 12.060 0.509 2007 12 10.778 4.024 0 0 10.560 3.805 10.598 3.542 2008 1 6.389 0.708 0 0 6.171 0.489 5.962 -0.021 2008 2 10.000 2.945 0 0 9.782 2.726 9.308 1.951 2008 3 12.222 0.850 0 0 12.004 0.632 12.606 0.932 2008 4 16.778 0.266 0 0 16.560 0.048 17.044 0.230 2008 5 20.111 -0.871 0 0 19.893 -1.089 20.673 -0.611 2008 6 27.111 2.678 0 0 26.893 2.460 27.094 2.359 2008 7 26.611 0.346 0 0 26.393 0.128 26.593 0.027 2008 8 25.667 -0.119 0 0 25.448 -0.337 26.025 -0.063 2008 9 23.333 0.596 0 0 23.115 0.378 23.570 0.531 2008 10 16.278 -0.106 0 0 16.060 -0.324 15.764 -0.922 2008 11 9.722 -1.527 0 4 9.892 -1.357 10.360 -1.190 2008 12 10.389 3.635 0 0 10.559 3.805 10.138 3.082 2009 1 5.833 0.152 0 0 6.003 0.322 5.738 -0.245 2009 2 7.333 0.278 0 0 7.503 0.448 7.285 -0.072 2009 3 11.333 -0.039 0 0 11.503 0.131 11.716 0.042 2009 4 16.333 -0.179 0 0 16.503 -0.009 17.377 0.563 2009 5 21.833 0.852 0 0 22.003 1.022 21.983 0.700 2009 6 25.500 1.067 0 0 25.670 1.237 26.110 1.376 2009 7 25.722 -0.543 0 0 25.892 -0.373 26.331 -0.235 2009 8 26.722 0.937 0 0 26.892 1.107 27.071 0.984 2009 9 22.778 0.040 0 0 22.948 0.211 23.517 0.478 2009 10 16.889 0.505 0 0 17.059 0.675 16.453 -0.232 2009 11 12.778 1.529 0 0 12.948 1.699 13.213 1.662 2009 12 6.889 0.135 0 0 7.059 0.305 6.500 -0.556 2010 1 4.000 -1.681 0 0 4.170 -1.511 4.170 -1.813 2010 2 4.333 -2.722 0 0 4.503 -2.552 4.028 -3.329 2010 3 10.889 -0.483 0 0 11.059 -0.313 11.541 -0.133 2010 4 17.556 1.044 0 0 17.726 1.214 18.666 1.853 2010 5 22.889 1.907 0 0 23.059 2.077 23.340 2.056 2010 6 27.500 3.067 0 0 27.670 3.237 27.894 3.160 2010 7 27.389 1.124 0 0 27.559 1.294 27.916 1.349 2010 8 26.833 1.048 0 0 27.003 1.218 27.845 1.758 2010 9 24.722 1.985 0 0 24.892 2.155 25.547 2.508 2010 10 17.444 1.061 0 0 17.615 1.231 17.458 0.773 2010 11 11.500 0.251 0 0 11.670 0.421 12.106 0.555 2010 12 2.167 -4.588 0 0 2.337 -4.417 2.637 -4.418 2011 1 3.556 -2.126 0 0 3.726 -1.956 3.782 -2.201 2011 2 9.444 2.389 0 0 9.615 2.559 9.265 1.908 2011 3 12.333 0.961 0 0 12.503 1.131 12.685 1.011 2011 4 17.611 1.099 0 0 17.781 1.269 18.823 2.009 2011 5 21.333 0.352 0 0 21.503 0.522 22.170 0.886 2011 6 26.667 2.234 0 0 26.837 2.404 27.381 2.647 2011 7 28.111 1.846 0 0 28.281 2.016 28.598 2.031 2011 8 26.611 0.826 0 0 26.781 0.996 27.430 1.343 2011 9 22.778 0.040 0 0 22.948 0.211 23.875 0.836 2011 10 15.944 -0.439 0 0 16.115 -0.269 15.732 -0.954 2011 11 12.500 1.251 0 0 12.670 1.421 13.339 1.788 2011 12 9.898 3.144 0 0 10.069 3.314 10.033 2.977 2012 1 8.052 2.370 0 0 8.222 2.540 8.297 2.314 2012 2 9.464 2.408 0 0 9.634 2.578 9.076 1.719 2012 3 16.553 5.181 0 0 16.723 5.351 17.148 5.474 2012 4 16.753 0.241 0 0 16.923 0.411 17.854 1.040 2012 5 22.195 1.213 0 0 22.365 1.384 22.917 1.634 2012 6 23.070 -1.363 0 0 23.240 -1.193 24.121 -0.613 2012 7 28.150 1.885 0 0 28.320 2.055 28.548 1.981 2012 8 25.242 -0.544 0 0 25.412 -0.373 25.804 -0.283 2012 9 22.493 -0.244 0 0 22.663 -0.074 23.458 0.419 2012 10 17.000 0.616 0 0 17.170 0.787 16.904 0.218 2012 11 9.012 -2.238 0 0 9.182 -2.067 9.967 -1.584 2012 12 10.210 3.455 0 0 10.380 3.626 10.488 3.432 2013 1 9.061 3.380 0 0 9.231 3.550 8.912 2.929 2013 2 6.867 -0.188 1 0 NaN NaN 6.867 -0.490 2013 3 8.305 -3.067 0 0 8.475 -2.897 9.069 -2.605 2013 4 16.108 -0.404 0 0 16.278 -0.234 17.464 0.651 2013 5 19.569 -1.412 0 0 19.739 -1.242 20.522 -0.762 2013 6 24.735 0.302 0 0 24.905 0.472 25.361 0.627 2013 7 25.984 -0.281 0 0 26.154 -0.111 26.572 0.005 2013 8 24.577 -1.208 0 0 24.748 -1.038 25.545 -0.542 2013 9 22.317 -0.421 0 0 22.487 -0.251 23.439 0.400 2013 10 17.313 0.930 0 0 17.483 1.100 17.504 0.819 2013 11 13.950 2.701 1 0 NaN NaN NaN NaN