% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27811 % Primary Name: BRAG % Record Type: TAVG % Country: United States % State: GA % Latitude: 32.45000 +/- 0.00005 % Longitude: -81.66670 +/- 0.00005 % Elevation (m): 60.96 +/- 0.15 % # of Months: 65 % % Alternate Names: Missing Station ID - 91155 % % IDs: coop - 91155 % ghcnd - USC00091155 % ncdc - 12001422 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c563739d1919f73be5ef80c66c198d25 % Raw Data Hash: 147e40818fd80213c771347f4c0114a1 % Adj Data Hash: 0ab32964f9566a09e7827e7ea85d4232 % % 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 1892 1 NaN NaN NaN NaN NaN NaN 6.319 -1.963 1892 2 NaN NaN NaN NaN NaN NaN 10.027 0.256 1892 3 NaN NaN NaN NaN NaN NaN 11.843 -1.916 1892 4 NaN NaN NaN NaN NaN NaN 17.765 -0.468 1892 5 NaN NaN NaN NaN NaN NaN 22.094 -0.379 1892 6 NaN NaN NaN NaN NaN NaN 25.272 -0.391 1892 7 NaN NaN NaN NaN NaN NaN 26.195 -1.048 1892 8 NaN NaN NaN NaN NaN NaN 26.852 -0.081 1892 9 NaN NaN NaN NaN NaN NaN 23.110 -1.103 1892 10 NaN NaN NaN NaN NaN NaN 17.422 -0.810 1892 11 NaN NaN NaN NaN NaN NaN 12.339 -0.866 1892 12 NaN NaN NaN NaN NaN NaN 9.405 0.184 1893 1 5.496 -3.630 0 0 5.496 -3.630 3.896 -4.386 1893 2 12.560 1.945 0 0 12.560 1.945 10.999 1.228 1893 3 14.005 -0.597 0 0 14.005 -0.597 12.691 -1.068 1893 4 20.907 1.832 0 0 20.907 1.832 20.068 1.835 1893 5 25.296 1.980 0 0 25.296 1.980 21.781 -0.692 1893 6 22.130 -4.377 0 0 22.130 -4.377 25.122 -0.541 1893 7 28.029 -0.058 0 0 28.029 -0.058 27.815 0.572 1893 8 25.914 -1.862 0 0 25.914 -1.862 25.846 -1.087 1893 9 25.103 0.047 0 0 25.103 0.047 24.855 0.642 1893 10 20.470 1.395 1 0 NaN NaN 18.113 -0.119 1893 11 13.142 -0.907 0 0 13.142 -0.907 12.693 -0.512 1893 12 11.647 1.582 0 0 11.647 1.582 10.250 1.029 1894 1 11.083 1.958 1 0 NaN NaN 9.817 1.534 1894 2 12.203 1.589 0 0 12.203 1.589 9.908 0.137 1894 3 17.133 2.531 0 0 17.133 2.531 15.907 2.148 1894 4 18.519 -0.557 0 0 18.519 -0.557 18.212 -0.021 1894 5 23.333 0.017 0 0 23.333 0.017 22.312 -0.160 1894 6 25.019 -1.487 0 0 25.019 -1.487 25.203 -0.460 1894 7 25.860 -2.226 0 0 25.860 -2.226 25.761 -1.482 1894 8 27.634 -0.142 0 0 27.634 -0.142 26.379 -0.554 1894 9 25.111 0.055 0 0 25.111 0.055 24.620 0.407 1894 10 19.642 0.566 0 0 19.642 0.566 18.197 -0.036 1894 11 12.722 -1.326 0 0 12.722 -1.326 12.201 -1.004 1894 12 10.932 0.868 0 0 10.932 0.868 9.795 0.574 1895 1 8.241 -0.885 0 0 8.241 -0.885 7.872 -0.411 1895 2 4.782 -5.833 0 0 4.782 -5.833 3.497 -6.275 1895 3 14.265 -0.337 0 0 14.265 -0.337 13.221 -0.538 1895 4 18.222 -0.853 0 0 18.222 -0.853 17.253 -0.979 1895 5 22.061 -1.255 0 0 22.061 -1.255 21.106 -1.367 1895 6 26.185 -0.321 0 0 26.185 -0.321 25.911 0.248 1895 7 27.097 -0.990 0 0 27.097 -0.990 26.841 -0.402 1895 8 27.093 -0.683 0 0 27.093 -0.683 26.867 -0.066 1895 9 25.615 0.559 0 0 25.615 0.559 25.487 1.274 1895 10 NaN NaN NaN NaN NaN NaN 16.469 -1.763 1895 11 NaN NaN NaN NaN NaN NaN 12.859 -0.346 1895 12 9.409 -0.656 0 0 9.409 -0.656 8.024 -1.197 1896 1 8.387 -0.739 0 0 8.387 -0.739 6.794 -1.489 1896 2 10.893 0.278 0 0 10.893 0.278 9.061 -0.710 1896 3 13.433 -1.169 0 0 13.433 -1.169 12.330 -1.429 1896 4 21.173 2.098 0 0 21.173 2.098 19.994 1.762 1896 5 25.173 1.856 0 0 25.173 1.856 24.874 2.401 1896 6 25.507 -1.000 0 0 25.507 -1.000 25.761 0.098 1896 7 28.006 -0.080 1 0 NaN NaN 27.606 0.363 1896 8 27.825 0.049 0 0 27.825 0.049 27.344 0.411 1896 9 25.287 0.230 0 0 25.287 0.230 24.760 0.547 1896 10 19.298 0.223 0 0 19.298 0.223 17.396 -0.836 1896 11 16.990 2.942 0 0 16.990 2.942 15.775 2.570 1896 12 8.700 -1.364 0 0 8.700 -1.364 7.557 -1.664 1897 1 8.368 -0.758 0 0 8.368 -0.758 6.732 -1.550 1897 2 12.848 2.234 0 0 12.848 2.234 10.834 1.063 1897 3 16.740 2.138 0 0 16.740 2.138 15.231 1.472 1897 4 18.800 -0.276 0 0 18.800 -0.276 17.882 -0.350 1897 5 NaN NaN NaN NaN NaN NaN 21.427 -1.046 1897 6 27.413 0.907 0 0 27.413 0.907 27.060 1.397 1897 7 26.835 -1.251 0 0 26.835 -1.251 27.207 -0.036 1897 8 26.737 -1.039 0 0 26.737 -1.039 26.351 -0.582 1897 9 NaN NaN NaN NaN NaN NaN 23.541 -0.672 1897 10 NaN NaN NaN NaN NaN NaN 19.098 0.866 1897 11 18.023 3.975 0 0 18.023 3.975 14.637 1.432 1897 12 NaN NaN NaN NaN NaN NaN 9.719 0.498 1898 1 12.448 3.323 0 0 12.448 3.323 10.596 2.314 1898 2 8.925 -1.689 0 0 8.925 -1.689 7.862 -1.910 1898 3 18.565 3.963 0 0 18.565 3.963 16.356 2.597 1898 4 16.787 -2.289 0 0 16.787 -2.289 15.613 -2.620 1898 5 23.992 0.676 0 0 23.992 0.676 23.591 1.118 1898 6 27.747 1.240 0 0 27.747 1.240 26.702 1.039 1898 7 26.353 -1.733 0 0 26.353 -1.733 26.828 -0.415 1898 8 26.504 -1.272 0 0 26.504 -1.272 26.492 -0.441 1898 9 NaN NaN NaN NaN NaN NaN 24.834 0.621 1898 10 NaN NaN NaN NaN NaN NaN 17.737 -0.495 1898 11 NaN NaN NaN NaN NaN NaN 11.926 -1.280 1898 12 11.347 1.282 1 0 NaN NaN 8.564 -0.657 1899 1 13.725 4.599 1 0 NaN NaN 7.595 -0.687 1899 2 NaN NaN NaN NaN NaN NaN 7.362 -2.409 1899 3 NaN NaN NaN NaN NaN NaN 14.388 0.630 1899 4 14.193 -4.882 0 1 14.193 -4.882 16.443 -1.789 1899 5 NaN NaN NaN NaN NaN NaN 23.903 1.430 1899 6 NaN NaN NaN NaN NaN NaN 26.545 0.882 1899 7 NaN NaN NaN NaN NaN NaN 26.912 -0.331 1899 8 NaN NaN NaN NaN NaN NaN 27.687 0.754 1899 9 NaN NaN NaN NaN NaN NaN 23.985 -0.229 1899 10 NaN NaN NaN NaN NaN NaN 18.389 0.157 1899 11 NaN NaN NaN NaN NaN NaN 14.029 0.824 1899 12 NaN NaN NaN NaN NaN NaN 8.212 -1.009 1900 1 NaN NaN NaN NaN NaN NaN 7.292 -0.991 1900 2 NaN NaN NaN NaN NaN NaN 7.443 -2.328 1900 3 NaN NaN NaN NaN NaN NaN 12.433 -1.326 1900 4 NaN NaN NaN NaN NaN NaN 18.293 0.061