% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31914 % Primary Name: SERGENT % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.15000 +/- 0.00005 % Longitude: -82.76670 +/- 0.00005 % Elevation (m): 376.43 +/- 0.15 % # of Months: 58 % % Alternate Names: Missing Station ID - 157272 % % IDs: coop - 157272 % ghcnd - USC00157272 % ncdc - 20008591 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: cff287dce796be26e6ed5d4784d60f33 % Raw Data Hash: 47be33a0abc05cd998b5aa3087156bd9 % Adj Data Hash: 71750c1bb59b512da3b428dddf956df0 % % 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 1922 5 NaN NaN NaN NaN NaN NaN 18.619 0.884 1922 6 NaN NaN NaN NaN NaN NaN 22.619 0.809 1922 7 NaN NaN NaN NaN NaN NaN 23.580 -0.320 1922 8 NaN NaN NaN NaN NaN NaN 22.123 -1.270 1922 9 NaN NaN NaN NaN NaN NaN 21.454 1.424 1922 10 NaN NaN NaN NaN NaN NaN 13.883 0.666 1922 11 NaN NaN NaN NaN NaN NaN 7.683 0.449 1922 12 NaN NaN NaN NaN NaN NaN 4.117 1.719 1923 1 NaN NaN NaN NaN NaN NaN 3.055 2.744 1923 2 NaN NaN NaN NaN NaN NaN 0.163 -1.777 1923 3 NaN NaN NaN NaN NaN NaN 6.981 -0.062 1923 4 NaN NaN NaN NaN NaN NaN 11.708 -1.121 1923 5 20.021 1.074 1 0 NaN NaN 16.544 -1.190 1923 6 22.600 -0.423 0 0 22.600 -0.423 22.206 0.396 1923 7 23.740 -1.373 0 0 23.740 -1.373 23.422 -0.479 1923 8 23.735 -0.870 0 0 23.735 -0.870 22.891 -0.502 1923 9 20.967 -0.277 0 0 20.967 -0.277 20.622 0.591 1923 10 13.090 -1.339 0 0 13.090 -1.339 12.040 -1.176 1923 11 7.498 -0.949 0 0 7.498 -0.949 6.727 -0.507 1923 12 9.020 5.409 0 0 9.020 5.409 7.125 4.727 1924 1 1.566 0.042 0 0 1.566 0.042 -1.387 -1.697 1924 2 2.701 -0.452 0 0 2.701 -0.452 0.633 -1.307 1924 3 5.668 -2.588 0 0 5.668 -2.588 4.728 -2.316 1924 4 13.130 -0.911 0 0 13.130 -0.911 12.787 -0.041 1924 5 14.956 -3.991 0 0 14.956 -3.991 14.142 -3.592 1924 6 22.733 -0.290 0 0 22.733 -0.290 21.996 0.186 1924 7 22.681 -2.433 0 0 22.681 -2.433 21.953 -1.948 1924 8 24.142 -0.464 0 0 24.142 -0.464 23.348 -0.044 1924 9 18.288 -2.955 0 0 18.288 -2.955 17.397 -2.633 1924 10 15.069 0.640 0 0 15.069 0.640 13.862 0.645 1924 11 9.605 1.158 0 0 9.605 1.158 7.898 0.664 1924 12 4.705 1.094 0 0 4.705 1.094 1.746 -0.652 1925 1 4.140 2.617 0 0 4.140 2.617 0.688 0.377 1925 2 7.382 4.230 0 0 7.382 4.230 4.966 3.027 1925 3 9.692 1.436 0 0 9.692 1.436 8.274 1.231 1925 4 15.963 1.922 0 0 15.963 1.922 15.051 2.222 1925 5 15.923 -3.025 0 0 15.923 -3.025 14.746 -2.988 1925 6 NaN NaN NaN NaN NaN NaN 23.532 1.722 1925 7 NaN NaN NaN NaN NaN NaN 23.289 -0.611 1925 8 23.308 -1.298 0 0 23.308 -1.298 23.014 -0.379 1925 9 24.204 2.960 0 0 24.204 2.960 23.776 3.745 1925 10 12.860 -1.570 0 0 12.860 -1.570 10.795 -2.421 1925 11 7.368 -1.079 0 0 7.368 -1.079 6.171 -1.064 1925 12 2.079 -1.532 0 0 2.079 -1.532 0.792 -1.606 1926 1 1.431 -0.093 0 0 1.431 -0.093 -0.768 -1.079 1926 2 NaN NaN NaN NaN NaN NaN 2.984 1.045 1926 3 5.383 -2.873 0 0 5.383 -2.873 3.410 -3.633 1926 4 11.272 -2.769 0 0 11.272 -2.769 9.980 -2.848 1926 5 18.522 -0.426 0 0 18.522 -0.426 17.361 -0.373 1926 6 21.638 -1.385 0 0 21.638 -1.385 20.070 -1.740 1926 7 24.155 -0.959 0 0 24.155 -0.959 23.835 -0.066 1926 8 NaN NaN NaN NaN NaN NaN 24.262 0.869 1926 9 23.500 2.256 0 0 23.500 2.256 22.522 2.491 1926 10 15.524 1.094 0 0 15.524 1.094 14.026 0.809 1926 11 NaN NaN NaN NaN NaN NaN 5.640 -1.594 1926 12 4.259 0.647 0 0 4.259 0.647 2.646 0.248 1927 1 4.845 3.321 0 0 4.845 3.321 0.910 0.599 1927 2 NaN NaN NaN NaN NaN NaN 5.821 3.881 1927 3 NaN NaN NaN NaN NaN NaN 8.173 1.129 1927 4 15.035 0.994 0 0 15.035 0.994 13.576 0.748 1927 5 18.234 -0.713 0 0 18.234 -0.713 17.566 -0.168 1927 6 21.087 -1.936 0 0 21.087 -1.936 20.095 -1.715 1927 7 23.561 -1.552 0 0 23.561 -1.552 23.211 -0.690 1927 8 21.816 -2.790 0 0 21.816 -2.790 20.611 -2.781 1927 9 20.549 -0.695 0 0 20.549 -0.695 21.107 1.076 1927 10 13.921 -0.509 0 0 13.921 -0.509 14.496 1.279 1927 11 9.862 1.415 0 0 9.862 1.415 10.085 2.851 1927 12 4.260 0.648 0 0 4.260 0.648 2.166 -0.232 1928 1 2.555 1.031 0 0 2.555 1.031 0.117 -0.194 1928 2 4.247 1.094 0 0 4.247 1.094 1.766 -0.173 1928 3 8.118 -0.138 0 0 8.118 -0.138 6.425 -0.618 1928 4 11.735 -2.306 0 0 11.735 -2.306 10.747 -2.082 1928 5 16.485 -2.462 0 0 16.485 -2.462 15.952 -1.782 1928 6 20.842 -2.181 0 0 20.842 -2.181 20.020 -1.790 1928 7 24.142 -0.972 0 0 24.142 -0.972 23.869 -0.031 1928 8 24.581 -0.025 0 0 24.581 -0.025 24.125 0.733 1928 9 18.846 -2.397 0 0 18.846 -2.397 17.739 -2.291 1928 10 NaN NaN NaN NaN NaN NaN 14.975 1.758 1928 11 NaN NaN NaN NaN NaN NaN 7.632 0.398 1928 12 NaN NaN NaN NaN NaN NaN 3.059 0.661 1929 1 NaN NaN NaN NaN NaN NaN 0.435 0.124 1929 2 NaN NaN NaN NaN NaN NaN -1.403 -3.342 1929 3 NaN NaN NaN NaN NaN NaN 9.761 2.718 1929 4 NaN NaN NaN NaN NaN NaN 14.859 2.031 1929 5 NaN NaN NaN NaN NaN NaN 16.871 -0.863 1929 6 NaN NaN NaN NaN NaN NaN 20.871 -0.939 1929 7 NaN NaN NaN NaN NaN NaN 23.328 -0.573 1929 8 NaN NaN NaN NaN NaN NaN 21.659 -1.733 1929 9 NaN NaN NaN NaN NaN NaN 20.252 0.221