% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28691 % Primary Name: SEIVERN % Record Type: TAVG % Country: United States % State: SC % Latitude: 33.63330 +/- 0.00005 % Longitude: -81.40000 +/- 0.00005 % Elevation (m): 146.91 +/- 0.15 % # of Months: 54 % % Alternate Names: Missing Station ID - 387775 % % IDs: coop - 387775 % ghcnd - USC00387775 % ncdc - 12004920 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c995878df62f74efb16fcb18da7bff18 % Raw Data Hash: c6cb96af657e4cbd1d799957722ae3b0 % Adj Data Hash: 694326f65903c00ecc312c8ec2781cad % % 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 1900 10 NaN NaN NaN NaN NaN NaN 20.235 2.003 1900 11 NaN NaN NaN NaN NaN NaN 14.255 1.050 1900 12 NaN NaN NaN NaN NaN NaN 8.408 -0.813 1901 1 NaN NaN NaN NaN NaN NaN 8.060 -0.222 1901 2 NaN NaN NaN NaN NaN NaN 6.891 -2.880 1901 3 NaN NaN NaN NaN NaN NaN 12.870 -0.888 1901 4 NaN NaN NaN NaN NaN NaN 14.398 -3.834 1901 5 NaN NaN NaN NaN NaN NaN 22.522 0.049 1901 6 NaN NaN NaN NaN NaN NaN 25.216 -0.447 1901 7 NaN NaN NaN NaN NaN NaN 27.406 0.163 1901 8 NaN NaN NaN NaN NaN NaN 26.516 -0.416 1901 9 NaN NaN NaN NaN NaN NaN 24.181 -0.032 1901 10 16.219 -1.041 0 0 16.016 -1.244 17.282 -0.951 1901 11 8.341 -3.892 0 0 8.137 -4.095 10.501 -2.704 1901 12 NaN NaN NaN NaN NaN NaN 7.516 -1.705 1902 1 5.970 -1.341 0 0 5.766 -1.544 6.905 -1.378 1902 2 NaN NaN NaN NaN NaN NaN 5.641 -4.131 1902 3 12.673 -0.113 0 0 12.470 -0.317 13.436 -0.323 1902 4 15.950 -1.310 0 0 15.747 -1.513 16.985 -1.247 1902 5 23.634 2.133 0 0 23.431 1.930 24.156 1.683 1902 6 25.631 0.940 0 0 25.428 0.737 26.008 0.345 1902 7 27.615 1.344 0 0 27.411 1.140 27.893 0.649 1902 8 25.877 -0.083 0 0 25.674 -0.287 26.584 -0.349 1902 9 NaN NaN NaN NaN NaN NaN 23.409 -0.805 1902 10 17.425 0.165 1 0 NaN NaN 18.347 0.114 1902 11 15.797 3.564 0 0 15.593 3.361 15.936 2.731 1902 12 8.737 0.488 0 0 8.534 0.285 9.324 0.103 1903 1 7.093 -0.217 0 0 6.890 -0.421 7.345 -0.938 1903 2 8.859 0.060 0 0 8.656 -0.143 10.276 0.505 1903 3 15.950 3.164 0 0 15.747 2.961 16.708 2.949 1903 4 15.065 -2.195 0 0 14.862 -2.398 16.540 -1.692 1903 5 21.524 0.023 0 0 21.320 -0.180 21.550 -0.923 1903 6 23.728 -0.963 0 0 23.524 -1.166 24.027 -1.636 1903 7 27.050 0.779 0 0 26.847 0.576 26.808 -0.435 1903 8 27.115 1.154 0 0 26.912 0.951 27.392 0.459 1903 9 22.278 -0.963 0 0 22.075 -1.166 23.436 -0.777 1903 10 15.712 -1.547 0 0 15.509 -1.751 16.922 -1.310 1903 11 10.187 -2.046 0 0 9.983 -2.249 11.964 -1.241 1903 12 4.271 -3.978 0 0 4.068 -4.181 5.806 -3.415 1904 1 NaN NaN NaN NaN NaN NaN 5.560 -2.723 1904 2 NaN NaN NaN NaN NaN NaN 8.070 -1.701 1904 3 14.581 1.794 0 0 14.377 1.591 15.054 1.296 1904 4 14.426 -2.834 0 0 14.223 -3.037 16.132 -2.101 1904 5 20.935 -0.565 0 0 20.732 -0.768 21.515 -0.958 1904 6 25.050 0.359 0 0 24.847 0.156 25.155 -0.508 1904 7 26.792 0.521 0 1 27.003 0.732 26.557 -0.687 1904 8 25.719 -0.241 0 0 25.930 -0.030 25.839 -1.094 1904 9 23.490 0.249 0 0 23.701 0.460 24.482 0.269 1904 10 16.524 -0.736 0 0 16.735 -0.525 17.588 -0.644 1904 11 10.008 -2.225 0 0 10.219 -2.014 12.045 -1.160 1904 12 7.032 -1.217 0 0 7.243 -1.006 8.740 -0.481 1905 1 4.842 -2.468 0 0 5.053 -2.257 5.957 -2.326 1905 2 2.973 -5.826 0 0 3.184 -5.615 5.089 -4.682 1905 3 14.014 1.227 0 0 14.225 1.438 15.157 1.398 1905 4 16.736 -0.524 0 0 16.947 -0.313 18.186 -0.046 1905 5 22.566 1.065 0 0 22.777 1.277 23.836 1.363 1905 6 25.557 0.866 0 0 25.768 1.077 26.164 0.501 1905 7 26.957 0.686 0 0 27.168 0.897 27.144 -0.099 1905 8 25.381 -0.580 0 0 25.592 -0.369 26.018 -0.915 1905 9 23.977 0.736 0 0 24.188 0.947 25.455 1.242 1905 10 17.223 -0.037 0 0 17.434 0.174 18.357 0.125 1905 11 11.283 -0.950 0 0 11.494 -0.739 13.790 0.585 1905 12 6.265 -1.984 0 0 6.476 -1.773 7.448 -1.773 1906 1 7.759 0.449 0 0 7.970 0.660 9.141 0.858 1906 2 6.202 -2.597 0 0 6.413 -2.386 8.110 -1.661 1906 3 10.513 -2.274 0 0 10.724 -2.062 12.313 -1.446 1906 4 16.635 -0.625 0 0 16.846 -0.414 18.583 0.350 1906 5 20.045 -1.455 0 0 20.256 -1.244 21.402 -1.071 1906 6 25.597 0.906 0 0 25.808 1.117 26.179 0.516 1906 7 25.616 -0.655 0 0 25.827 -0.444 26.120 -1.124 1906 8 27.139 1.179 0 0 27.350 1.390 27.302 0.369 1906 9 NaN NaN NaN NaN NaN NaN 25.891 1.677 1906 10 NaN NaN NaN NaN NaN NaN 16.531 -1.701 1906 11 NaN NaN NaN NaN NaN NaN 12.941 -0.264 1906 12 NaN NaN NaN NaN NaN NaN 9.215 -0.006 1907 1 NaN NaN NaN NaN NaN NaN 12.316 4.033 1907 2 NaN NaN NaN NaN NaN NaN 8.663 -1.108 1907 3 NaN NaN NaN NaN NaN NaN 18.116 4.357 1907 4 NaN NaN NaN NaN NaN NaN 14.432 -3.801 1907 5 NaN NaN NaN NaN NaN NaN 21.776 -0.697 1907 6 NaN NaN NaN NaN NaN NaN 24.717 -0.946 1907 7 NaN NaN NaN NaN NaN NaN 27.562 0.319 1907 8 NaN NaN NaN NaN NaN NaN 26.799 -0.133