% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30022 % Primary Name: REELSBORO % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.13110 +/- 0.00005 % Longitude: -76.91530 +/- 0.00005 % Elevation (m): 13.72 +/- 0.15 % # of Months: 76 % % Alternate Names: Missing Station ID - 317170 % % IDs: coop - 317170 % ghcnd - USC00317170 % ncdc - 30003137 % nws - RELN7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 50853f7d35b4d44dc8f7039897dd31a9 % Raw Data Hash: 8ae5effa339e620e006070bba270daac % Adj Data Hash: 4c840b962003db36af5b3a039077b965 % % 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 2006 5 NaN NaN NaN NaN NaN NaN 20.011 -0.709 2006 6 NaN NaN NaN NaN NaN NaN 24.085 -0.020 2006 7 NaN NaN NaN NaN NaN NaN 26.916 0.873 2006 8 NaN NaN NaN NaN NaN NaN 27.272 1.517 2006 9 NaN NaN NaN NaN NaN NaN 22.744 -0.297 2006 10 NaN NaN NaN NaN NaN NaN 16.617 -0.502 2006 11 NaN NaN NaN NaN NaN NaN 13.843 1.573 2006 12 NaN NaN NaN NaN NaN NaN 10.983 3.032 2007 1 NaN NaN NaN NaN NaN NaN 9.550 2.757 2007 2 NaN NaN NaN NaN NaN NaN 6.335 -1.488 2007 3 NaN NaN NaN NaN NaN NaN 13.766 2.077 2007 4 NaN NaN NaN NaN NaN NaN 16.395 -0.053 2007 5 20.778 -0.329 0 0 20.511 -0.596 20.306 -0.414 2007 6 25.056 0.563 0 0 24.789 0.296 24.552 0.446 2007 7 25.833 -0.597 0 0 25.567 -0.864 25.986 -0.057 2007 8 27.778 1.636 1 0 NaN NaN 27.986 2.231 2007 9 24.222 0.794 0 0 23.956 0.528 24.619 1.578 2007 10 21.722 4.216 0 0 21.456 3.950 20.799 3.680 2007 11 12.667 0.009 0 0 12.400 -0.257 12.750 0.480 2007 12 11.778 3.439 0 0 11.511 3.172 11.287 3.336 2008 1 8.667 1.487 0 0 8.400 1.220 7.186 0.393 2008 2 12.222 4.012 0 0 11.956 3.745 10.263 2.440 2008 3 13.944 1.867 0 0 13.678 1.601 13.129 1.439 2008 4 17.667 0.831 0 0 17.400 0.565 17.470 1.022 2008 5 20.611 -0.496 0 0 20.345 -0.762 20.186 -0.534 2008 6 27.278 2.785 0 0 27.011 2.519 26.213 2.107 2008 7 26.000 -0.431 0 0 25.734 -0.697 26.333 0.290 2008 8 26.111 -0.031 0 0 25.845 -0.297 25.983 0.228 2008 9 24.111 0.683 0 0 23.845 0.417 24.057 1.016 2008 10 16.778 -0.729 0 0 16.511 -0.995 16.172 -0.947 2008 11 14.129 1.472 1 0 NaN NaN 11.444 -0.826 2008 12 11.944 3.605 0 0 11.678 3.339 11.072 3.120 2009 1 7.667 0.487 0 0 7.400 0.220 6.698 -0.094 2009 2 9.389 1.178 0 0 9.122 0.912 7.493 -0.330 2009 3 12.333 0.256 0 0 12.067 -0.010 11.753 0.064 2009 4 18.167 1.331 0 1 17.843 1.007 17.171 0.723 2009 5 22.167 1.060 0 0 21.843 0.736 21.734 1.014 2009 6 25.556 1.063 0 0 25.232 0.739 25.420 1.314 2009 7 26.167 -0.264 0 0 25.843 -0.588 25.895 -0.149 2009 8 27.167 1.024 0 0 26.843 0.700 26.789 1.034 2009 9 23.000 -0.428 0 0 22.676 -0.752 23.167 0.126 2009 10 18.167 0.660 0 0 17.843 0.336 17.218 0.099 2009 11 14.556 1.898 0 0 14.232 1.574 14.455 2.185 2009 12 9.222 0.883 0 0 8.898 0.559 8.247 0.296 2010 1 6.500 -0.680 0 0 6.176 -1.004 4.878 -1.915 2010 2 6.500 -1.711 0 0 6.176 -2.035 4.890 -2.934 2010 3 12.278 0.201 0 0 11.954 -0.123 11.914 0.224 2010 4 18.611 1.776 0 0 18.287 1.452 17.971 1.523 2010 5 23.278 2.171 0 0 22.954 1.847 22.641 1.921 2010 6 28.111 3.618 0 0 27.787 3.294 27.390 3.285 2010 7 27.833 1.403 0 0 27.509 1.079 27.409 1.366 2010 8 27.667 1.524 0 0 27.343 1.200 27.339 1.584 2010 9 24.833 1.405 0 0 24.509 1.081 25.143 2.102 2010 10 18.667 1.160 0 0 18.343 0.836 17.990 0.871 2010 11 13.056 0.398 0 0 12.732 0.074 12.734 0.464 2010 12 5.000 -3.339 0 0 4.676 -3.663 3.048 -4.904 2011 1 6.111 -1.069 0 0 5.787 -1.393 4.323 -2.470 2011 2 11.316 3.105 0 0 10.992 2.781 9.329 1.505 2011 3 13.000 0.923 0 0 12.676 0.599 12.460 0.771 2011 4 19.056 2.220 0 0 18.732 1.896 18.426 1.978 2011 5 22.000 0.893 0 0 21.676 0.569 21.499 0.779 2011 6 25.944 1.452 0 4 26.505 2.012 26.429 2.323 2011 7 NaN NaN NaN NaN NaN NaN 27.842 1.798 2011 8 27.508 1.366 1 0 NaN NaN 27.106 1.351 2011 9 23.944 0.516 0 0 24.505 1.077 24.067 1.027 2011 10 16.722 -0.784 0 0 17.283 -0.223 16.475 -0.644 2011 11 13.778 1.120 0 0 14.338 1.681 14.109 1.838 2011 12 10.684 2.345 0 0 11.245 2.906 10.748 2.797 2012 1 9.242 2.062 0 0 9.803 2.623 9.156 2.364 2012 2 9.764 1.553 0 0 10.324 2.114 9.546 1.722 2012 3 NaN NaN NaN NaN NaN NaN 16.537 4.848 2012 4 16.168 -0.667 0 0 16.729 -0.106 17.367 0.919 2012 5 22.337 1.230 0 0 22.898 1.791 22.409 1.690 2012 6 23.508 -0.984 0 0 24.069 -0.424 23.432 -0.673 2012 7 28.013 1.582 0 0 28.574 2.143 28.085 2.042 2012 8 25.919 -0.223 0 0 26.480 0.338 25.881 0.126 2012 9 22.737 -0.691 0 0 23.297 -0.131 23.447 0.406 2012 10 17.787 0.281 0 0 18.348 0.841 17.380 0.261 2012 11 9.655 -3.002 0 0 10.216 -2.442 10.294 -1.976 2012 12 11.316 2.977 0 0 11.877 3.538 10.973 3.021 2013 1 9.239 2.059 0 0 9.799 2.619 9.406 2.614 2013 2 7.654 -0.557 0 0 8.214 0.004 7.613 -0.211 2013 3 9.150 -2.927 0 0 9.711 -2.366 9.208 -2.482 2013 4 16.335 -0.500 0 0 16.896 0.060 16.742 0.294 2013 5 20.618 -0.489 0 0 21.178 0.071 20.366 -0.354 2013 6 25.443 0.951 0 0 26.004 1.511 24.868 0.762 2013 7 26.771 0.340 0 0 27.332 0.901 26.547 0.504 2013 8 25.123 -1.020 0 0 25.683 -0.459 25.522 -0.233 2013 9 22.292 -1.136 0 0 22.852 -0.576 23.163 0.122 2013 10 NaN NaN NaN NaN NaN NaN 17.598 0.479 2013 11 15.770 3.113 1 0 NaN NaN NaN NaN