% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31106 % Primary Name: FLAT SPRINGS 1E % Record Type: TAVG % Country: United States % State: NC % Latitude: 36.25280 +/- 0.00005 % Longitude: -81.91360 +/- 0.00005 % Elevation (m): 1022.60 +/- 0.15 % # of Months: 68 % % Alternate Names: Missing Station ID - 313072 % % IDs: coop - 313072 % ghcnd - USC00313072 % ncdc - 30014243 % nws - FTSN7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 62ba7a95b43e1b5af2e29e993a351470 % Raw Data Hash: a6f0208baf874b9bb3093c5e483aba33 % Adj Data Hash: 95a728567297395660669fb0e0b253bc % % 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 2007 4 NaN NaN NaN NaN NaN NaN 11.615 -0.348 2007 5 NaN NaN NaN NaN NaN NaN 17.136 0.681 2007 6 NaN NaN NaN NaN NaN NaN 20.886 0.896 2007 7 NaN NaN NaN NaN NaN NaN 21.318 -0.617 2007 8 NaN NaN NaN NaN NaN NaN 24.862 3.277 2007 9 NaN NaN NaN NaN NaN NaN 20.413 1.947 2007 10 NaN NaN NaN NaN NaN NaN 15.440 2.993 2007 11 NaN NaN NaN NaN NaN NaN 7.757 0.470 2007 12 NaN NaN NaN NaN NaN NaN 6.135 3.162 2008 1 NaN NaN NaN NaN NaN NaN 1.303 -0.216 2008 2 NaN NaN NaN NaN NaN NaN 4.201 1.540 2008 3 NaN NaN NaN NaN NaN NaN 7.255 0.450 2008 4 10.667 0.511 0 0 10.614 0.459 12.502 0.539 2008 5 14.444 -0.203 0 0 14.392 -0.255 15.939 -0.516 2008 6 20.222 2.039 0 0 20.170 1.987 21.877 1.887 2008 7 19.889 -0.238 0 0 19.837 -0.291 21.921 -0.014 2008 8 19.278 -0.500 0 0 19.225 -0.552 21.490 -0.095 2008 9 17.389 0.730 0 0 17.337 0.678 19.327 0.861 2008 10 10.278 -0.363 0 0 10.225 -0.415 11.779 -0.669 2008 11 4.500 -0.979 0 0 4.448 -1.031 6.292 -0.994 2008 12 3.722 2.556 0 0 3.670 2.503 4.848 1.875 2009 1 -1.111 -0.823 0 0 -1.163 -0.875 0.884 -0.635 2009 2 0.833 -0.021 0 0 0.781 -0.073 2.698 0.036 2009 3 6.278 1.281 0 0 6.225 1.228 7.650 0.845 2009 4 10.333 0.178 0 0 10.281 0.125 12.427 0.465 2009 5 15.167 0.519 0 1 15.179 0.532 16.986 0.532 2009 6 19.500 1.317 0 0 19.513 1.330 21.185 1.195 2009 7 18.500 -1.627 0 0 18.513 -1.614 20.752 -1.182 2009 8 19.889 0.111 0 0 19.902 0.124 22.250 0.665 2009 9 16.556 -0.103 0 0 16.568 -0.090 18.944 0.478 2009 10 11.000 0.360 0 0 11.013 0.372 12.224 -0.223 2009 11 8.111 2.632 0 0 8.124 2.645 9.766 2.480 2009 12 0.222 -0.944 0 0 0.235 -0.931 1.973 -1.001 2010 1 -3.000 -2.712 0 0 -2.987 -2.699 -0.560 -2.079 2010 2 -3.500 -4.354 0 0 -3.487 -4.341 -1.047 -3.708 2010 3 4.000 -0.997 0 0 4.013 -0.984 6.748 -0.056 2010 4 13.056 2.900 0 0 13.068 2.913 14.413 2.451 2010 5 16.833 2.186 0 0 16.846 2.199 18.342 1.887 2010 6 20.944 2.761 0 0 20.957 2.774 22.907 2.917 2010 7 22.000 1.873 0 0 22.013 1.886 23.959 2.025 2010 8 21.611 1.833 0 0 21.624 1.846 23.508 1.923 2010 9 18.389 1.730 0 0 18.402 1.743 20.271 1.805 2010 10 12.389 1.749 0 0 12.402 1.761 13.428 0.981 2010 11 7.444 1.965 0 0 7.457 1.978 8.353 1.067 2010 12 -4.611 -5.778 0 0 -4.598 -5.765 -1.500 -4.474 2011 1 -2.111 -1.823 0 0 -2.098 -1.810 -0.078 -1.598 2011 2 3.333 2.479 0 0 3.346 2.492 4.569 1.907 2011 3 6.167 1.169 0 0 6.179 1.182 7.960 1.156 2011 4 12.611 2.456 0 0 12.624 2.468 14.405 2.443 2011 5 15.167 0.519 0 0 15.179 0.532 17.139 0.684 2011 6 20.111 1.928 0 0 20.124 1.941 21.869 1.879 2011 7 21.722 1.595 0 0 21.735 1.608 23.802 1.868 2011 8 20.500 0.722 0 0 20.513 0.735 22.784 1.199 2011 9 17.000 0.341 0 0 17.013 0.354 19.181 0.715 2011 10 10.833 0.193 0 0 10.846 0.206 12.080 -0.368 2011 11 8.222 2.743 0 0 8.235 2.756 9.417 2.131 2011 12 4.435 3.269 0 0 4.448 3.282 5.955 2.981 2012 1 2.226 2.514 0 0 2.239 2.527 3.843 2.324 2012 2 3.629 2.775 1 0 NaN NaN 4.851 2.190 2012 3 11.318 6.321 0 0 11.331 6.333 12.503 5.698 2012 4 11.390 1.234 0 0 11.403 1.247 13.502 1.539 2012 5 16.961 2.314 0 0 16.974 2.327 18.610 2.155 2012 6 18.337 0.153 0 0 18.349 0.166 20.107 0.116 2012 7 21.850 1.723 0 0 21.863 1.736 23.838 1.903 2012 8 19.553 -0.225 0 0 19.566 -0.212 21.550 -0.036 2012 9 16.750 0.091 0 0 16.763 0.104 18.793 0.327 2012 10 10.656 0.016 0 0 10.669 0.029 12.258 -0.190 2012 11 4.925 -0.554 0 0 4.938 -0.541 6.697 -0.589 2012 12 4.719 3.553 0 0 4.732 3.566 5.974 3.000 2013 1 2.784 3.072 0 0 2.797 3.085 4.394 2.875 2013 2 0.352 -0.503 0 0 0.365 -0.490 2.219 -0.442 2013 3 0.768 -4.229 0 0 0.781 -4.217 3.650 -3.155 2013 4 10.578 0.423 0 0 10.591 0.436 12.420 0.457 2013 5 14.218 -0.430 0 0 14.231 -0.417 15.779 -0.676 2013 6 19.168 0.985 0 0 19.181 0.998 20.780 0.790 2013 7 20.489 0.361 0 0 20.502 0.374 22.086 0.151 2013 8 19.584 -0.194 0 0 19.597 -0.181 21.238 -0.347 2013 9 16.923 0.264 0 0 16.936 0.277 18.850 0.384 2013 10 12.035 1.395 0 0 12.048 1.408 13.359 0.911 2013 11 8.742 3.263 1 0 NaN NaN NaN NaN