% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30272 % Primary Name: DUNLAP % Record Type: TAVG % Country: United States % State: TN % Latitude: 35.36670 +/- 0.00005 % Longitude: -85.38330 +/- 0.00005 % Elevation (m): 220.10 +/- 0.05 % # of Months: 104 % % IDs: coop - 402657 % ghcnd - USC00402657 % ncdc - 20018108 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5a86e9ec10733805cabeb888c48bf426 % Raw Data Hash: a20334e24d1ca3480db1cd6878018055 % Adj Data Hash: 76ff81dbf314e17b4afbabb374a6ba7f % % 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 1908 8 NaN NaN NaN NaN NaN NaN 23.684 -0.204 1908 9 NaN NaN NaN NaN NaN NaN 21.091 0.412 1908 10 NaN NaN NaN NaN NaN NaN 12.769 -1.249 1908 11 NaN NaN NaN NaN NaN NaN 9.800 1.578 1908 12 NaN NaN NaN NaN NaN NaN 5.230 1.479 1909 1 NaN NaN NaN NaN NaN NaN 3.890 2.119 1909 2 NaN NaN NaN NaN NaN NaN 5.759 2.264 1909 3 NaN NaN NaN NaN NaN NaN 7.656 -0.567 1909 4 NaN NaN NaN NaN NaN NaN 13.944 0.031 1909 5 NaN NaN NaN NaN NaN NaN 17.289 -1.121 1909 6 NaN NaN NaN NaN NaN NaN 22.608 0.208 1909 7 NaN NaN NaN NaN NaN NaN 23.085 -1.237 1909 8 25.071 -0.705 1 0 NaN NaN 24.213 0.325 1909 9 21.535 -1.032 0 0 21.535 -1.032 19.837 -0.841 1909 10 12.142 -3.764 1 0 NaN NaN 12.672 -1.346 1909 11 13.415 3.304 0 0 13.415 3.304 12.315 4.092 1909 12 2.183 -3.456 1 0 NaN NaN -0.308 -4.059 1910 1 4.229 0.569 0 0 4.229 0.569 1.416 -0.356 1910 2 4.398 -0.985 0 0 4.398 -0.985 1.065 -2.429 1910 3 13.992 3.881 0 0 13.992 3.881 12.213 3.990 1910 4 14.898 -0.903 0 0 14.898 -0.903 13.168 -0.746 1910 5 NaN NaN NaN NaN NaN NaN 16.044 -2.366 1910 6 22.398 -1.889 0 0 22.398 -1.889 20.651 -1.749 1910 7 25.176 -1.035 0 0 25.176 -1.035 23.639 -0.684 1910 8 25.005 -0.771 0 0 25.005 -0.771 23.015 -0.872 1910 9 24.313 1.746 0 0 24.313 1.746 22.483 1.804 1910 10 17.027 1.121 0 0 17.027 1.121 15.409 1.391 1910 11 7.288 -2.823 0 0 7.288 -2.823 5.754 -2.469 1910 12 2.323 -3.317 0 0 2.323 -3.317 0.519 -3.232 1911 1 7.460 3.800 0 0 7.460 3.800 4.792 3.020 1911 2 9.375 3.992 0 0 9.375 3.992 6.091 2.597 1911 3 11.194 1.083 1 0 NaN NaN 8.728 0.505 1911 4 14.337 -1.465 0 0 14.337 -1.465 13.058 -0.856 1911 5 21.202 0.903 0 0 21.202 0.903 19.667 1.257 1911 6 25.078 0.791 0 0 25.078 0.791 23.748 1.348 1911 7 24.089 -2.122 0 0 24.089 -2.122 23.121 -1.201 1911 8 25.358 -0.418 0 0 25.358 -0.418 23.543 -0.344 1911 9 25.327 2.759 0 0 25.327 2.759 24.068 3.389 1911 10 18.324 2.418 0 0 18.324 2.418 16.039 2.021 1911 11 7.822 -2.289 0 0 7.822 -2.289 6.283 -1.940 1911 12 7.953 2.314 0 0 7.953 2.314 6.174 2.423 1912 1 1.848 -1.811 0 0 1.848 -1.811 -1.613 -3.385 1912 2 3.268 -2.115 0 0 3.268 -2.115 -0.201 -3.695 1912 3 9.089 -1.023 0 0 9.089 -1.023 6.580 -1.643 1912 4 16.417 0.615 0 0 16.417 0.615 14.915 1.002 1912 5 20.137 -0.161 0 0 20.137 -0.161 18.541 0.131 1912 6 22.188 -2.099 0 0 22.188 -2.099 20.797 -1.602 1912 7 25.276 -0.935 0 0 25.276 -0.935 23.850 -0.473 1912 8 24.282 -1.494 0 0 24.282 -1.494 22.899 -0.989 1912 9 23.787 1.219 0 0 23.787 1.219 22.277 1.599 1912 10 16.658 0.752 0 0 16.658 0.752 14.737 0.719 1912 11 7.675 -2.436 0 0 7.675 -2.436 6.892 -1.330 1912 12 4.715 -0.925 0 0 4.715 -0.925 3.378 -0.373 1913 1 8.853 5.193 0 0 8.853 5.193 6.260 4.489 1913 2 5.970 0.587 0 0 5.970 0.587 2.247 -1.248 1913 3 10.896 0.785 1 0 NaN NaN 8.635 0.412 1913 4 14.663 -1.138 0 0 14.663 -1.138 13.423 -0.491 1913 5 20.153 -0.145 0 0 20.153 -0.145 18.334 -0.076 1913 6 24.444 0.157 0 0 24.444 0.157 22.847 0.447 1913 7 26.892 0.681 0 0 26.892 0.681 25.654 1.331 1913 8 NaN NaN NaN NaN NaN NaN 24.861 0.974 1913 9 21.227 -1.340 1 0 NaN NaN 21.010 0.331 1913 10 15.156 -0.750 1 0 NaN NaN 12.887 -1.131 1913 11 12.416 2.305 1 0 NaN NaN 10.306 2.084 1913 12 6.453 0.814 0 0 6.453 0.814 4.558 0.807 1914 1 6.217 2.557 0 0 6.217 2.557 3.732 1.961 1914 2 4.900 -0.483 0 0 4.900 -0.483 1.540 -1.955 1914 3 7.985 -2.126 0 0 7.985 -2.126 5.514 -2.709 1914 4 14.937 -0.865 0 0 14.937 -0.865 14.026 0.112 1914 5 19.605 -0.694 0 0 19.605 -0.694 18.352 -0.058 1914 6 26.767 2.479 0 0 26.767 2.479 25.213 2.814 1914 7 25.710 -0.501 0 0 25.710 -0.501 24.488 0.165 1914 8 24.575 -1.201 1 0 NaN NaN 23.575 -0.313 1914 9 21.952 -0.616 0 0 21.952 -0.616 20.190 -0.489 1914 10 16.637 0.731 0 0 16.637 0.731 14.838 0.820 1914 11 9.210 -0.901 0 0 9.210 -0.901 8.081 -0.142 1914 12 3.911 -1.728 0 0 3.911 -1.728 1.338 -2.413 1915 1 3.990 0.330 1 0 NaN NaN 0.784 -0.987 1915 2 6.566 1.183 1 0 NaN NaN 4.571 1.076 1915 3 7.369 -2.742 1 0 NaN NaN 3.104 -5.119 1915 4 17.740 1.938 1 0 NaN NaN 15.593 1.679 1915 5 20.882 0.584 1 0 NaN NaN 19.163 0.752 1915 6 23.022 -1.266 0 0 23.022 -1.266 21.704 -0.696 1915 7 24.636 -1.575 0 0 24.636 -1.575 23.575 -0.747 1915 8 23.554 -2.222 1 0 NaN NaN 21.946 -1.942 1915 9 23.443 0.875 1 0 NaN NaN 21.681 1.002 1915 10 NaN NaN NaN NaN NaN NaN 15.415 1.397 1915 11 NaN NaN NaN NaN NaN NaN 10.319 2.097 1915 12 4.257 -1.382 1 0 NaN NaN 3.622 -0.129 1916 1 7.703 4.043 1 0 NaN NaN 5.690 3.919 1916 2 4.358 -1.025 0 0 4.358 -1.025 2.319 -1.175 1916 3 9.527 -0.585 0 0 9.527 -0.585 7.215 -1.008 1916 4 14.309 -1.493 0 0 14.309 -1.493 13.001 -0.912 1916 5 21.436 1.137 1 0 NaN NaN 19.417 1.007 1916 6 22.447 -1.841 0 0 22.447 -1.841 21.049 -1.350 1916 7 25.985 -0.226 0 0 25.985 -0.226 24.031 -0.291 1916 8 25.506 -0.270 0 0 25.506 -0.270 23.900 0.012 1916 9 NaN NaN NaN NaN NaN NaN 19.577 -1.102 1916 10 NaN NaN NaN NaN NaN NaN 13.833 -0.185 1916 11 7.371 -2.740 1 0 NaN NaN 8.840 0.617 1916 12 4.910 -0.730 0 0 4.910 -0.730 2.905 -0.846 1917 1 6.794 3.134 0 0 6.794 3.134 3.537 1.766 1917 2 4.963 -0.421 0 0 4.963 -0.421 2.258 -1.236 1917 3 10.432 0.321 0 0 10.432 0.321 7.979 -0.244 1917 4 15.873 0.072 0 0 15.873 0.072 14.275 0.362 1917 5 16.482 -3.816 0 0 16.482 -3.816 14.539 -3.871 1917 6 22.897 -1.391 0 0 22.897 -1.391 21.066 -1.333 1917 7 24.743 -1.468 0 0 24.743 -1.468 23.360 -0.962 1917 8 23.796 -1.980 1 0 NaN NaN 22.380 -1.508 1917 9 21.032 -1.536 0 0 21.032 -1.536 19.616 -1.063 1917 10 11.862 -4.045 0 0 11.862 -4.045 10.098 -3.920 1917 11 8.870 -1.241 0 0 8.870 -1.241 6.979 -1.243 1917 12 1.189 -4.451 0 0 1.189 -4.451 -1.316 -5.067 1918 1 -0.863 -4.523 0 0 -0.863 -4.523 -4.429 -6.200 1918 2 8.216 2.833 1 0 NaN NaN 5.240 1.746 1918 3 14.316 4.205 0 0 14.316 4.205 11.614 3.391 1918 4 NaN NaN NaN NaN NaN NaN 12.864 -1.050 1918 5 21.302 1.003 0 0 21.302 1.003 19.719 1.309 1918 6 24.545 0.257 0 0 24.545 0.257 22.695 0.296 1918 7 23.893 -2.318 1 0 NaN NaN 22.197 -2.126 1918 8 26.029 0.253 0 0 26.029 0.253 25.173 1.286 1918 9 18.980 -3.587 0 0 18.980 -3.587 17.458 -3.221 1918 10 18.234 2.328 0 0 18.234 2.328 16.267 2.249 1918 11 NaN NaN NaN NaN NaN NaN 7.655 -0.567 1918 12 NaN NaN NaN NaN NaN NaN 6.760 3.009 1919 1 NaN NaN NaN NaN NaN NaN 2.102 0.331 1919 2 NaN NaN NaN NaN NaN NaN 2.930 -0.565 1919 3 NaN NaN NaN NaN NaN NaN 8.552 0.329 1919 4 NaN NaN NaN NaN NaN NaN 13.841 -0.072 1919 5 NaN NaN NaN NaN NaN NaN 17.199 -1.211 1919 6 NaN NaN NaN NaN NaN NaN 23.603 1.204 1919 7 NaN NaN NaN NaN NaN NaN 24.948 0.625 1919 8 NaN NaN NaN NaN NaN NaN 23.363 -0.525 1919 9 NaN NaN NaN NaN NaN NaN 21.385 0.706 1919 10 NaN NaN NaN NaN NaN NaN 18.903 4.885