% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27962 % Primary Name: GILLISONVILLE % Record Type: TAVG % Country: United States % State: SC % Latitude: 32.65000 +/- 0.00005 % Longitude: -79.96670 +/- 0.00005 % Elevation (m): 15.24 +/- 0.15 % # of Months: 114 % % Alternate Names: Missing Station ID - 383505 % % IDs: coop - 383505 % ghcnd - USC00383505 % ncdc - 12004900 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a59a87ea7806c0b53636c79c02fd8260 % Raw Data Hash: d4e6d419b393ee17fb18308c52a4310b % Adj Data Hash: 2efb282391920685e44e2928a734e022 % % 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 1894 3 NaN NaN NaN NaN NaN NaN 16.315 2.167 1894 4 NaN NaN NaN NaN NaN NaN 17.781 -0.304 1894 5 NaN NaN NaN NaN NaN NaN 21.983 -0.184 1894 6 NaN NaN NaN NaN NaN NaN 24.270 -0.839 1894 7 NaN NaN NaN NaN NaN NaN 25.253 -1.529 1894 8 NaN NaN NaN NaN NaN NaN 26.080 -0.642 1894 9 NaN NaN NaN NaN NaN NaN 25.373 0.629 1894 10 NaN NaN NaN NaN NaN NaN 19.822 0.091 1894 11 NaN NaN NaN NaN NaN NaN 14.516 -0.802 1894 12 NaN NaN NaN NaN NaN NaN 11.854 0.498 1895 1 NaN NaN NaN NaN NaN NaN 9.676 -0.405 1895 2 NaN NaN NaN NaN NaN NaN 4.684 -6.103 1895 3 13.813 -0.342 0 0 13.813 -0.342 13.388 -0.760 1895 4 17.389 -0.703 0 0 17.389 -0.703 17.047 -1.037 1895 5 21.738 -0.436 0 0 21.738 -0.436 20.788 -1.379 1895 6 26.296 1.179 0 0 26.296 1.179 25.229 0.120 1895 7 27.419 0.629 0 0 27.419 0.629 26.343 -0.440 1895 8 27.401 0.672 0 0 27.401 0.672 26.744 0.022 1895 9 25.000 0.249 0 0 25.000 0.249 25.806 1.062 1895 10 17.312 -2.426 0 0 17.312 -2.426 18.382 -1.348 1895 11 13.426 -1.900 0 0 13.426 -1.900 15.425 0.107 1895 12 8.566 -2.797 0 0 8.566 -2.797 10.690 -0.666 1896 1 8.136 -1.952 0 0 8.136 -1.952 9.027 -1.054 1896 2 10.536 -0.258 0 0 10.536 -0.258 10.278 -0.509 1896 3 13.746 -0.409 0 0 13.746 -0.409 13.084 -1.063 1896 4 20.667 2.575 0 0 20.667 2.575 19.181 1.096 1896 5 25.824 3.650 0 0 25.824 3.650 24.471 2.303 1896 6 26.593 1.476 0 0 26.593 1.476 25.239 0.129 1896 7 28.011 1.220 0 0 28.011 1.220 27.108 0.325 1896 8 27.724 0.995 0 0 27.724 0.995 26.778 0.057 1896 9 24.907 0.156 0 0 24.907 0.156 24.936 0.193 1896 10 18.692 -1.046 0 0 18.692 -1.046 18.705 -1.026 1896 11 16.111 0.786 0 0 16.111 0.786 17.949 2.631 1896 12 8.351 -3.012 0 0 8.351 -3.012 9.768 -1.588 1897 1 7.957 -2.131 0 0 7.957 -2.131 8.565 -1.516 1897 2 13.175 2.380 0 0 13.175 2.380 12.201 1.414 1897 3 17.294 3.139 0 0 17.294 3.139 15.963 1.816 1897 4 18.833 0.741 0 0 18.833 0.741 17.854 -0.230 1897 5 22.563 0.388 0 0 22.563 0.388 21.271 -0.897 1897 6 28.019 2.902 0 0 28.019 2.902 26.021 0.912 1897 7 27.545 0.755 0 0 27.545 0.755 26.750 -0.033 1897 8 27.115 0.385 0 0 27.115 0.385 26.489 -0.233 1897 9 23.148 -1.603 0 0 23.148 -1.603 24.121 -0.622 1897 10 20.125 0.387 0 0 20.125 0.387 20.507 0.776 1897 11 15.019 -0.307 0 0 15.019 -0.307 16.606 1.288 1897 12 10.968 -0.396 0 0 10.968 -0.396 12.122 0.766 1898 1 11.935 1.847 0 0 11.935 1.847 12.467 2.387 1898 2 9.345 -1.449 0 0 9.345 -1.449 9.175 -1.612 1898 3 17.778 3.623 0 0 17.778 3.623 16.638 2.490 1898 4 16.149 -1.943 0 0 16.149 -1.943 16.186 -1.898 1898 5 24.247 2.072 0 0 24.247 2.072 23.032 0.865 1898 6 27.648 2.531 0 0 27.648 2.531 25.721 0.612 1898 7 27.262 0.472 0 0 27.262 0.472 26.532 -0.251 1898 8 26.864 0.135 0 0 26.864 0.135 26.474 -0.248 1898 9 25.074 0.323 0 0 25.074 0.323 25.638 0.894 1898 10 19.266 -0.472 0 0 19.266 -0.472 19.570 -0.161 1898 11 12.759 -2.566 0 0 12.759 -2.566 14.599 -0.719 1898 12 9.803 -1.561 0 0 9.803 -1.561 11.107 -0.249 1899 1 8.600 -1.488 0 0 8.600 -1.488 9.836 -0.245 1899 2 9.559 -1.235 0 0 9.559 -1.235 8.680 -2.107 1899 3 16.092 1.937 0 0 16.092 1.937 15.011 0.864 1899 4 16.753 -1.339 0 0 16.753 -1.339 16.477 -1.608 1899 5 24.268 2.093 0 0 24.268 2.093 23.120 0.952 1899 6 26.405 1.288 0 0 26.405 1.288 25.657 0.547 1899 7 26.889 0.098 0 0 26.889 0.098 26.177 -0.606 1899 8 27.468 0.739 0 0 27.468 0.739 27.401 0.680 1899 9 23.625 -1.126 0 0 23.625 -1.126 24.542 -0.201 1899 10 19.024 -0.714 0 0 19.024 -0.714 20.021 0.290 1899 11 13.937 -1.389 0 0 13.937 -1.389 16.131 0.813 1899 12 8.592 -2.772 0 0 8.592 -2.772 10.524 -0.832 1900 1 8.511 -1.577 0 0 8.511 -1.577 9.498 -0.582 1900 2 9.196 -1.598 0 0 9.196 -1.598 8.963 -1.824 1900 3 12.798 -1.357 0 0 12.798 -1.357 12.801 -1.346 1900 4 19.220 1.128 0 0 19.220 1.128 18.109 0.025 1900 5 22.084 -0.091 0 0 22.084 -0.091 21.679 -0.488 1900 6 25.278 0.161 0 0 25.278 0.161 24.534 -0.576 1900 7 28.003 1.213 0 0 28.003 1.213 27.180 0.398 1900 8 29.173 2.443 0 0 29.173 2.443 28.322 1.600 1900 9 25.808 1.057 0 0 25.808 1.057 26.208 1.464 1900 10 20.556 0.818 0 0 20.556 0.818 21.412 1.682 1900 11 14.527 -0.799 0 0 14.527 -0.799 16.303 0.986 1900 12 8.594 -2.770 0 0 8.594 -2.770 10.505 -0.851 1901 1 8.978 -1.110 0 0 8.978 -1.110 9.671 -0.410 1901 2 8.313 -2.481 0 0 8.313 -2.481 7.751 -3.035 1901 3 13.692 -0.463 0 0 13.692 -0.463 13.464 -0.683 1901 4 14.296 -3.796 0 0 14.296 -3.796 14.606 -3.478 1901 5 22.935 0.760 0 0 22.935 0.760 22.159 -0.008 1901 6 25.889 0.772 0 0 25.889 0.772 24.462 -0.647 1901 7 27.903 1.113 0 0 27.903 1.113 26.843 0.060 1901 8 26.953 0.224 0 0 26.953 0.224 26.347 -0.375 1901 9 24.574 -0.177 0 0 24.574 -0.177 24.950 0.207 1901 10 17.257 -2.481 0 0 17.257 -2.481 18.760 -0.971 1901 11 10.191 -5.135 1 0 NaN NaN 12.188 -3.130 1901 12 8.435 -2.928 0 0 8.435 -2.928 9.881 -1.475 1902 1 8.439 -1.649 0 0 8.439 -1.649 8.588 -1.493 1902 2 7.307 -3.487 0 0 7.307 -3.487 6.681 -4.106 1902 3 13.762 -0.393 0 0 13.762 -0.393 14.002 -0.146 1902 4 17.100 -0.992 0 0 17.100 -0.992 16.654 -1.431 1902 5 23.740 1.565 0 0 23.740 1.565 23.095 0.928 1902 6 26.297 1.180 0 0 26.297 1.180 25.378 0.269 1902 7 28.402 1.611 0 0 28.402 1.611 27.458 0.675 1902 8 26.498 -0.231 0 0 26.498 -0.231 26.207 -0.515 1902 9 23.537 -1.214 0 0 23.537 -1.214 24.042 -0.701 1902 10 19.038 -0.700 0 0 19.038 -0.700 20.172 0.441 1902 11 15.919 0.594 0 0 15.919 0.594 17.939 2.621 1902 12 10.250 -1.114 0 0 10.250 -1.114 11.608 0.252 1903 1 8.602 -1.487 0 0 8.602 -1.487 9.398 -0.683 1903 2 11.761 0.966 0 0 11.761 0.966 11.583 0.796 1903 3 17.113 2.958 0 0 17.113 2.958 17.260 3.112 1903 4 16.877 -1.215 0 0 16.877 -1.215 16.667 -1.418 1903 5 21.410 -0.765 0 0 21.410 -0.765 21.358 -0.809 1903 6 24.490 -0.627 0 0 24.490 -0.627 23.695 -1.414 1903 7 26.568 -0.222 0 0 26.568 -0.222 26.370 -0.413 1903 8 27.608 0.879 0 0 27.608 0.879 27.105 0.383 1903 9 23.555 -1.196 0 0 23.555 -1.196 23.907 -0.837 1903 10 17.405 -2.333 1 0 NaN NaN 18.239 -1.491 1903 11 12.313 -3.012 0 0 12.313 -3.012 13.617 -1.701 1903 12 6.398 -4.965 0 0 6.398 -4.965 8.000 -3.356 1904 1 6.585 -3.503 0 0 6.585 -3.503 7.237 -2.844 1904 2 9.277 -1.518 0 0 9.277 -1.518 8.865 -1.921 1904 3 16.128 1.973 0 0 16.128 1.973 14.960 0.812 1904 4 16.982 -1.110 0 0 16.982 -1.110 16.235 -1.849 1904 5 21.437 -0.738 0 0 21.437 -0.738 21.275 -0.892 1904 6 24.800 -0.317 0 0 24.800 -0.317 24.313 -0.796 1904 7 26.532 -0.258 0 0 26.532 -0.258 26.029 -0.754 1904 8 25.738 -0.991 0 0 25.738 -0.991 25.697 -1.025 1904 9 NaN NaN NaN NaN NaN NaN 24.588 -0.155 1904 10 NaN NaN NaN NaN NaN NaN 18.848 -0.883 1904 11 NaN NaN NaN NaN NaN NaN 14.067 -1.251 1904 12 NaN NaN NaN NaN NaN NaN 10.379 -0.977 1905 1 NaN NaN NaN NaN NaN NaN 7.636 -2.444 1905 2 NaN NaN NaN NaN NaN NaN 6.482 -4.305 1905 3 NaN NaN NaN NaN NaN NaN 15.234 1.086 1905 4 NaN NaN NaN NaN NaN NaN 18.001 -0.084 1905 5 NaN NaN NaN NaN NaN NaN 23.477 1.310 1905 6 NaN NaN NaN NaN NaN NaN 25.160 0.051 1905 7 NaN NaN NaN NaN NaN NaN 26.504 -0.279 1905 8 NaN NaN NaN NaN NaN NaN 25.653 -1.068