% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31328 % Primary Name: ELK VALLEY 2 SW % Record Type: TAVG % Country: United States % State: TN % Latitude: 36.46670 +/- 0.00005 % Longitude: -84.26670 +/- 0.00005 % Elevation (m): 366.10 +/- 0.05 % # of Months: 53 % % Alternate Names: ELK VALLEY 2 W % % IDs: coop - 402836 % ghcnd - USC00402836 % ncdc - 20018493 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d3c75dd12805201d53608c34dd02a2cb % Raw Data Hash: 1ef719bf95199cd985015aa49052024f % Adj Data Hash: 5891ff811d2d616b82509690026cdc57 % % 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 1895 5 NaN NaN NaN NaN NaN NaN 16.243 -1.536 1895 6 NaN NaN NaN NaN NaN NaN 22.430 0.775 1895 7 NaN NaN NaN NaN NaN NaN 22.723 -0.868 1895 8 NaN NaN NaN NaN NaN NaN 23.307 0.080 1895 9 NaN NaN NaN NaN NaN NaN 22.271 2.148 1895 10 NaN NaN NaN NaN NaN NaN 10.333 -3.037 1895 11 NaN NaN NaN NaN NaN NaN 8.377 0.787 1895 12 NaN NaN NaN NaN NaN NaN 3.170 -0.016 1896 1 NaN NaN NaN NaN NaN NaN 1.624 -0.057 1896 2 NaN NaN NaN NaN NaN NaN 2.454 -0.859 1896 3 NaN NaN NaN NaN NaN NaN 5.654 -2.201 1896 4 NaN NaN NaN NaN NaN NaN 16.236 3.017 1896 5 20.600 2.791 1 0 NaN NaN 20.760 2.982 1896 6 20.550 -1.136 1 0 NaN NaN 21.669 0.013 1896 7 23.050 -0.571 1 0 NaN NaN 23.428 -0.163 1896 8 20.850 -2.407 1 0 NaN NaN 23.901 0.674 1896 9 NaN NaN NaN NaN NaN NaN 20.474 0.351 1896 10 NaN NaN NaN NaN NaN NaN 12.107 -1.263 1896 11 NaN NaN NaN NaN NaN NaN 9.920 2.330 1896 12 NaN NaN NaN NaN NaN NaN 2.478 -0.708 1897 1 -1.350 -3.060 1 0 NaN NaN -0.293 -1.973 1897 2 6.950 3.607 1 0 NaN NaN 4.763 1.449 1897 3 10.487 2.602 0 0 10.487 2.602 10.089 2.235 1897 4 14.402 1.153 0 0 14.402 1.153 12.849 -0.370 1897 5 16.745 -1.063 0 0 16.745 -1.063 15.432 -2.347 1897 6 23.010 1.324 0 0 23.010 1.324 22.038 0.382 1897 7 24.361 0.741 0 0 24.361 0.741 23.212 -0.378 1897 8 23.556 0.299 0 0 23.556 0.299 22.396 -0.831 1897 9 20.570 0.417 0 0 20.570 0.417 20.591 0.468 1897 10 16.471 3.071 0 0 16.471 3.071 15.139 1.769 1897 11 9.873 2.254 0 0 9.873 2.254 8.265 0.675 1897 12 5.456 2.241 0 0 5.456 2.241 3.970 0.785 1898 1 6.121 4.411 0 0 6.121 4.411 4.006 2.326 1898 2 NaN NaN NaN NaN NaN NaN 1.263 -2.050 1898 3 11.927 4.043 0 0 11.927 4.043 11.083 3.228 1898 4 10.508 -2.741 0 0 10.508 -2.741 10.095 -3.124 1898 5 19.427 1.619 0 0 19.427 1.619 18.596 0.817 1898 6 23.558 1.872 0 0 23.558 1.872 22.879 1.223 1898 7 24.384 0.763 0 0 24.384 0.763 23.878 0.287 1898 8 23.931 0.674 0 0 23.931 0.674 23.499 0.272 1898 9 22.027 1.873 0 0 22.027 1.873 21.483 1.359 1898 10 9.719 -3.680 0 0 9.719 -3.680 12.830 -0.540 1898 11 3.810 -3.810 0 0 3.810 -3.810 5.598 -1.991 1898 12 0.418 -2.798 0 0 0.418 -2.798 1.363 -1.823 1899 1 2.070 0.360 1 0 NaN NaN 1.895 0.215 1899 2 -1.875 -5.218 0 0 -1.875 -5.218 -1.773 -5.086 1899 3 5.892 -1.993 0 0 5.892 -1.993 7.515 -0.339 1899 4 10.473 -2.776 0 0 10.473 -2.776 12.555 -0.664 1899 5 17.147 -0.662 0 0 17.147 -0.662 19.340 1.562 1899 6 22.137 0.451 0 0 22.137 0.451 22.867 1.211 1899 7 23.200 -0.421 0 0 23.200 -0.421 23.310 -0.281 1899 8 25.227 1.970 0 0 25.227 1.970 24.104 0.877 1899 9 16.490 -3.663 0 0 16.490 -3.663 19.317 -0.807 1899 10 11.708 -1.692 0 0 11.708 -1.692 14.226 0.857 1899 11 NaN NaN NaN NaN NaN NaN 8.950 1.360 1899 12 -0.395 -3.611 0 0 -0.395 -3.611 1.393 -1.792 1900 1 1.559 -0.151 0 0 1.559 -0.151 1.222 -0.458 1900 2 0.246 -3.097 0 0 0.246 -3.097 0.382 -2.932 1900 3 NaN NaN NaN NaN NaN NaN 5.904 -1.951 1900 4 NaN NaN NaN NaN NaN NaN 13.019 -0.200 1900 5 NaN NaN NaN NaN NaN NaN 17.281 -0.498 1900 6 22.602 0.916 0 0 22.602 0.916 22.015 0.359 1900 7 24.026 0.405 0 0 24.026 0.405 23.905 0.314 1900 8 24.718 1.461 0 0 24.718 1.461 24.741 1.514 1900 9 22.240 2.087 0 0 22.240 2.087 22.361 2.238 1900 10 16.532 3.132 0 0 16.532 3.132 16.501 3.131 1900 11 NaN NaN NaN NaN NaN NaN 8.484 0.895 1900 12 NaN NaN NaN NaN NaN NaN 3.288 0.102 1901 1 2.885 1.175 1 0 NaN NaN 1.688 0.007 1901 2 NaN NaN NaN NaN NaN NaN -0.198 -3.511 1901 3 7.252 -0.633 0 0 7.252 -0.633 7.201 -0.653 1901 4 9.405 -3.844 0 0 9.405 -3.844 9.342 -3.877 1901 5 16.797 -1.012 0 0 16.797 -1.012 16.526 -1.253 1901 6 22.675 0.989 0 0 22.675 0.989 21.998 0.342 1901 7 25.155 1.534 0 0 25.155 1.534 24.796 1.206 1901 8 22.285 -0.972 0 0 22.285 -0.972 22.315 -0.913 1901 9 19.407 -0.747 0 0 19.407 -0.747 18.865 -1.258 1901 10 NaN NaN NaN NaN NaN NaN 12.592 -0.778 1901 11 NaN NaN NaN NaN NaN NaN 4.411 -3.178 1901 12 NaN NaN NaN NaN NaN NaN 0.469 -2.717 1902 1 NaN NaN NaN NaN NaN NaN 0.520 -1.160 1902 2 NaN NaN NaN NaN NaN NaN -1.490 -4.803 1902 3 NaN NaN NaN NaN NaN NaN 7.716 -0.139 1902 4 NaN NaN NaN NaN NaN NaN 11.468 -1.751 1902 5 NaN NaN NaN NaN NaN NaN 19.521 1.742 1902 6 NaN NaN NaN NaN NaN NaN 21.643 -0.013 1902 7 NaN NaN NaN NaN NaN NaN 23.793 0.203 1902 8 NaN NaN NaN NaN NaN NaN 23.167 -0.060 1902 9 NaN NaN NaN NaN NaN NaN 18.910 -1.213