% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32181 % Primary Name: SOUTH FORK % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.41670 +/- 0.00005 % Longitude: -83.66670 +/- 0.00005 % Elevation (m): 299.01 +/- 0.15 % # of Months: 64 % % Alternate Names: Missing Station ID - 157547 % % IDs: coop - 157547 % ghcnd - USC00157547 % ncdc - 20008593 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6c85916f2d3b8ff459fc1f4d33f2dc79 % Raw Data Hash: c87d2d503aace30add1fa57371debf69 % Adj Data Hash: ad03d29accaae8c6916722ec7c09a23e % % 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 -2.204 -2.515 1892 2 NaN NaN NaN NaN NaN NaN 3.721 1.782 1892 3 NaN NaN NaN NaN NaN NaN 4.284 -2.759 1892 4 NaN NaN NaN NaN NaN NaN 12.166 -0.662 1892 5 NaN NaN NaN NaN NaN NaN 17.019 -0.715 1892 6 NaN NaN NaN NaN NaN NaN 23.227 1.417 1892 7 NaN NaN NaN NaN NaN NaN 23.329 -0.572 1892 8 NaN NaN NaN NaN NaN NaN 22.828 -0.564 1892 9 NaN NaN NaN NaN NaN NaN 19.072 -0.959 1892 10 NaN NaN NaN NaN NaN NaN 12.279 -0.938 1892 11 NaN NaN NaN NaN NaN NaN 5.205 -2.029 1892 12 NaN NaN NaN NaN NaN NaN 0.331 -2.068 1893 1 -5.036 -4.768 0 0 -5.036 -4.768 -5.806 -6.117 1893 2 3.770 2.409 0 0 3.770 2.409 2.341 0.402 1893 3 5.968 -0.496 0 0 5.968 -0.496 6.263 -0.780 1893 4 14.481 2.232 0 0 14.481 2.232 14.019 1.191 1893 5 16.254 -0.901 0 0 16.254 -0.901 16.117 -1.617 1893 6 21.870 0.639 0 0 21.870 0.639 22.058 0.248 1893 7 23.853 0.531 0 0 23.853 0.531 24.606 0.705 1893 8 21.434 -1.380 0 0 21.434 -1.380 22.494 -0.898 1893 9 18.296 -1.155 0 0 18.296 -1.155 20.254 0.224 1893 10 10.573 -2.064 0 0 10.573 -2.064 12.572 -0.644 1893 11 5.167 -1.488 0 0 5.167 -1.488 6.269 -0.965 1893 12 2.007 0.188 0 0 2.007 0.188 2.958 0.560 1894 1 2.581 2.849 0 0 2.581 2.849 2.892 2.581 1894 2 2.222 0.862 0 0 2.222 0.862 1.454 -0.486 1894 3 8.369 1.905 0 0 8.369 1.905 9.301 2.258 1894 4 11.759 -0.490 0 0 11.759 -0.490 12.486 -0.343 1894 5 17.258 0.103 0 0 17.258 0.103 17.389 -0.345 1894 6 22.148 0.917 0 0 22.148 0.917 22.664 0.854 1894 7 NaN NaN NaN NaN NaN NaN 23.449 -0.452 1894 8 22.276 -0.538 0 0 22.276 -0.538 23.232 -0.161 1894 9 20.037 0.585 0 0 20.037 0.585 21.380 1.349 1894 10 10.538 -2.100 0 0 10.538 -2.100 12.725 -0.492 1894 11 4.222 -2.433 0 0 4.222 -2.433 5.379 -1.855 1894 12 2.634 0.815 0 0 2.634 0.815 2.795 0.397 1895 1 -1.129 -0.861 0 0 -1.129 -0.861 -1.958 -2.268 1895 2 -5.595 -6.956 0 0 -5.595 -6.956 -5.264 -7.204 1895 3 5.484 -0.980 0 0 5.484 -0.980 6.023 -1.020 1895 4 12.037 -0.212 0 0 12.037 -0.212 12.939 0.111 1895 5 15.986 -1.169 0 0 15.986 -1.169 16.415 -1.319 1895 6 22.519 1.288 0 0 22.519 1.288 22.877 1.067 1895 7 21.882 -1.440 0 0 21.882 -1.440 22.535 -1.366 1895 8 22.724 -0.090 0 0 22.724 -0.090 23.580 0.187 1895 9 20.537 1.085 0 0 20.537 1.085 22.391 2.360 1895 10 6.918 -5.720 1 0 NaN NaN 9.676 -3.541 1895 11 5.315 -1.340 0 0 5.315 -1.340 7.479 0.245 1895 12 2.939 1.120 0 0 2.939 1.120 3.081 0.682 1896 1 1.183 1.451 0 0 1.183 1.451 0.779 0.469 1896 2 1.705 0.344 0 0 1.705 0.344 1.046 -0.894 1896 3 4.910 -1.554 0 0 4.910 -1.554 3.994 -3.049 1896 4 16.093 3.844 0 0 16.093 3.844 16.328 3.500 1896 5 20.681 3.526 0 0 20.681 3.526 21.087 3.353 1896 6 21.852 0.621 0 0 21.852 0.621 21.862 0.052 1896 7 23.602 0.281 0 0 23.602 0.281 23.773 -0.127 1896 8 22.545 -0.269 0 0 22.545 -0.269 23.497 0.105 1896 9 18.981 -0.470 0 0 18.981 -0.470 19.723 -0.308 1896 10 9.068 -3.569 0 0 9.068 -3.569 11.358 -1.859 1896 11 7.833 1.178 0 0 7.833 1.178 9.202 1.968 1896 12 0.520 -1.299 0 0 0.520 -1.299 2.226 -0.173 1897 1 -3.870 -3.602 0 0 -3.870 -3.602 -1.843 -2.154 1897 2 5.694 4.334 0 0 5.694 4.334 3.149 1.210 1897 3 9.373 2.909 0 0 9.373 2.909 9.058 2.015 1897 4 11.833 -0.416 0 0 11.833 -0.416 12.341 -0.487 1897 5 13.835 -3.320 0 0 13.835 -3.320 14.985 -2.750 1897 6 20.881 -0.350 0 0 20.881 -0.350 21.711 -0.099 1897 7 23.566 0.245 0 0 23.566 0.245 24.102 0.201 1897 8 22.294 -0.520 0 0 22.294 -0.520 22.680 -0.713 1897 9 18.407 -1.044 0 0 18.407 -1.044 21.055 1.025 1897 10 12.652 0.015 0 0 12.652 0.015 15.478 2.261 1897 11 7.611 0.956 0 0 7.611 0.956 8.056 0.822 1897 12 3.226 1.407 0 0 3.226 1.407 2.947 0.549 1898 1 5.000 5.268 0 0 5.000 5.268 2.822 2.512 1898 2 1.173 -0.188 1 0 NaN NaN 0.924 -1.015 1898 3 9.122 2.658 0 0 9.122 2.658 9.869 2.825 1898 4 9.296 -2.953 0 0 9.296 -2.953 10.066 -2.762 1898 5 16.254 -0.901 0 0 16.254 -0.901 18.138 0.404 1898 6 NaN NaN NaN NaN NaN NaN 22.949 1.139 1898 7 NaN NaN NaN NaN NaN NaN 24.344 0.443 1898 8 NaN NaN NaN NaN NaN NaN 23.855 0.462 1898 9 NaN NaN NaN NaN NaN NaN 21.803 1.772 1898 10 NaN NaN NaN NaN NaN NaN 13.051 -0.165 1898 11 NaN NaN NaN NaN NaN NaN 5.439 -1.795 1898 12 NaN NaN NaN NaN NaN NaN 0.476 -1.922 1899 1 NaN NaN NaN NaN NaN NaN 0.268 -0.042 1899 2 NaN NaN NaN NaN NaN NaN -3.901 -5.840 1899 3 NaN NaN NaN NaN NaN NaN 6.447 -0.597 1899 4 NaN NaN NaN NaN NaN NaN 13.266 0.438 1899 5 NaN NaN NaN NaN NaN NaN 18.937 1.203