% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30541 % Primary Name: ELKMONT % Record Type: TAVG % Country: United States % State: TN % Latitude: 35.65000 +/- 0.00005 % Longitude: -83.56670 +/- 0.00005 % Elevation (m): 668.10 +/- 0.05 % # of Months: 165 % % Alternate Names: Missing Station ID - 402841 % % IDs: coop - 402841 % ghcnd - USC00402841 % ncdc - 20018188 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5ea7296ff5003983301bf3f1ac19e742 % Raw Data Hash: d36ff185a89951cadbdf677dd0f3dfcb % Adj Data Hash: 2fa01f45692d783f7fb4a9f65fab8906 % % 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 1923 12 NaN NaN NaN NaN NaN NaN 7.254 4.068 1924 1 NaN NaN NaN NaN NaN NaN -0.589 -2.269 1924 2 NaN NaN NaN NaN NaN NaN 1.437 -1.877 1924 3 NaN NaN NaN NaN NaN NaN 5.380 -2.475 1924 4 NaN NaN NaN NaN NaN NaN 12.808 -0.411 1924 5 NaN NaN NaN NaN NaN NaN 14.711 -3.068 1924 6 NaN NaN NaN NaN NaN NaN 22.588 0.932 1924 7 NaN NaN NaN NaN NaN NaN 22.182 -1.409 1924 8 NaN NaN NaN NaN NaN NaN 23.695 0.468 1924 9 NaN NaN NaN NaN NaN NaN 17.726 -2.397 1924 10 NaN NaN NaN NaN NaN NaN 13.247 -0.123 1924 11 NaN NaN NaN NaN NaN NaN 8.329 0.739 1924 12 5.006 2.076 0 0 4.782 1.852 2.860 -0.326 1925 1 4.838 3.414 0 0 4.585 3.161 2.501 0.821 1925 2 7.980 4.923 0 0 7.820 4.762 6.264 2.950 1925 3 9.819 2.220 0 0 9.790 2.191 9.056 1.202 1925 4 15.072 2.109 0 0 15.192 2.229 15.367 2.148 1925 5 14.837 -2.686 0 0 15.117 -2.406 15.488 -2.291 1925 6 21.935 0.535 0 0 22.332 0.932 23.517 1.861 1925 7 23.069 -0.266 0 0 23.509 0.174 24.079 0.488 1925 8 21.429 -1.542 0 0 21.859 -1.112 23.336 0.109 1925 9 22.763 2.895 0 0 23.130 3.262 24.529 4.405 1925 10 13.079 -0.035 0 0 13.283 0.169 12.316 -1.054 1925 11 7.387 0.053 0 0 7.349 0.015 6.721 -0.868 1925 12 2.979 0.049 0 0 2.755 -0.175 1.941 -1.245 1926 1 3.094 1.669 0 0 2.841 1.416 0.964 -0.716 1926 2 5.588 2.530 0 0 5.427 2.369 4.113 0.799 1926 3 4.287 -3.312 0 0 4.258 -3.341 3.958 -3.896 1926 4 11.502 -1.461 0 0 11.622 -1.341 11.441 -1.778 1926 5 16.456 -1.066 0 0 16.736 -0.787 17.518 -0.260 1926 6 19.762 -1.638 0 0 20.159 -1.241 20.966 -0.690 1926 7 21.434 -1.901 0 0 21.874 -1.461 23.476 -0.114 1926 8 22.256 -0.715 0 0 22.686 -0.285 23.897 0.670 1926 9 21.742 1.874 0 0 22.109 2.241 23.390 3.267 1926 10 14.295 1.181 0 0 14.499 1.385 14.226 0.856 1926 11 6.143 -1.190 0 0 6.106 -1.228 5.488 -2.101 1926 12 5.970 3.040 0 0 5.746 2.816 3.821 0.635 1927 1 4.797 3.372 0 0 4.544 3.120 2.276 0.596 1927 2 8.954 5.896 0 0 8.794 5.736 7.754 4.441 1927 3 9.260 1.661 0 0 9.231 1.632 8.652 0.797 1927 4 15.033 2.070 0 0 15.153 2.190 14.870 1.651 1927 5 17.569 0.046 0 0 17.849 0.326 17.916 0.137 1927 6 19.893 -1.507 0 0 20.291 -1.109 20.645 -1.011 1927 7 21.839 -1.496 0 0 22.279 -1.056 23.162 -0.429 1927 8 19.681 -3.290 0 0 20.111 -2.860 21.196 -2.031 1927 9 18.990 -0.878 0 0 19.357 -0.511 21.126 1.002 1927 10 14.265 1.150 0 0 14.469 1.354 14.602 1.232 1927 11 10.909 3.575 0 0 10.871 3.538 10.082 2.493 1927 12 4.298 1.368 1 0 NaN NaN 2.933 -0.253 1928 1 2.637 1.213 0 0 2.384 0.960 0.986 -0.694 1928 2 4.586 1.529 0 0 4.426 1.368 3.039 -0.274 1928 3 7.973 0.374 0 0 7.944 0.345 7.724 -0.131 1928 4 11.163 -1.800 0 0 11.284 -1.679 11.459 -1.760 1928 5 NaN NaN NaN NaN NaN NaN 16.004 -1.774 1928 6 19.812 -1.588 0 0 20.209 -1.191 20.263 -1.393 1928 7 21.669 -1.666 0 0 22.109 -1.226 23.347 -0.244 1928 8 21.582 -1.389 0 0 22.012 -0.959 23.569 0.341 1928 9 16.288 -3.580 0 0 16.655 -3.213 18.177 -1.946 1928 10 NaN NaN NaN NaN NaN NaN 14.564 1.195 1928 11 NaN NaN NaN NaN NaN NaN 7.559 -0.030 1928 12 NaN NaN NaN NaN NaN NaN 3.144 -0.042 1929 1 5.707 4.283 1 0 NaN NaN 2.449 0.769 1929 2 3.354 0.296 0 0 3.193 0.135 1.322 -1.992 1929 3 10.348 2.749 0 0 10.319 2.720 10.064 2.209 1929 4 14.387 1.424 0 0 14.507 1.544 14.803 1.584 1929 5 16.505 -1.018 0 0 16.785 -0.738 17.075 -0.703 1929 6 19.872 -1.528 0 0 20.269 -1.131 21.052 -0.604 1929 7 21.779 -1.556 0 0 22.219 -1.116 23.161 -0.430 1929 8 20.605 -2.366 0 0 21.035 -1.937 22.245 -0.983 1929 9 19.131 -0.737 0 0 19.498 -0.370 20.436 0.313 1929 10 12.372 -0.742 0 0 12.576 -0.538 12.166 -1.204 1929 11 8.874 1.540 0 0 8.836 1.503 7.923 0.333 1929 12 3.915 0.985 0 0 3.691 0.761 2.606 -0.580 1930 1 5.279 3.855 0 0 5.026 3.602 2.465 0.785 1930 2 NaN NaN NaN NaN NaN NaN 5.944 2.631 1930 3 6.137 -1.462 0 0 6.108 -1.491 6.359 -1.495 1930 4 12.859 -0.105 0 0 12.979 0.016 13.850 0.631 1930 5 16.589 -0.934 0 0 16.869 -0.654 18.075 0.296 1930 6 19.260 -2.140 0 0 19.657 -1.743 20.995 -0.661 1930 7 23.068 -0.267 0 0 23.508 0.173 24.601 1.010 1930 8 20.724 -2.247 0 0 21.154 -1.817 22.466 -0.761 1930 9 20.491 0.624 0 0 20.858 0.991 21.904 1.780 1930 10 10.876 -2.238 0 0 11.080 -2.034 11.612 -1.758 1930 11 7.429 0.095 0 0 7.391 0.057 7.199 -0.391 1930 12 1.862 -1.068 0 0 1.637 -1.293 0.846 -2.340 1931 1 2.944 1.520 0 0 2.691 1.267 1.803 0.123 1931 2 5.500 2.442 0 0 5.340 2.282 3.863 0.549 1931 3 5.278 -2.321 0 0 5.249 -2.350 4.894 -2.961 1931 4 11.444 -1.519 0 0 11.565 -1.398 12.240 -0.979 1931 5 15.889 -1.634 0 0 16.169 -1.354 16.172 -1.607 1931 6 20.389 -1.011 0 0 20.786 -0.614 22.112 0.456 1931 7 23.333 -0.002 0 0 23.773 0.438 24.880 1.289 1931 8 20.333 -2.638 0 0 20.763 -2.208 22.291 -0.936 1931 9 20.667 0.799 0 0 21.034 1.166 22.819 2.695 1931 10 13.167 0.053 0 0 13.371 0.257 14.718 1.348 1931 11 11.056 3.722 0 0 11.018 3.684 11.399 3.809 1931 12 8.444 5.514 0 0 8.220 5.290 7.742 4.556 1932 1 8.111 6.687 0 0 7.858 6.434 6.870 5.190 1932 2 9.111 6.053 0 0 8.951 5.893 7.301 3.988 1932 3 5.778 -1.821 0 0 5.749 -1.850 5.275 -2.580 1932 4 12.111 -0.852 0 0 12.232 -0.732 13.002 -0.217 1932 5 16.389 -1.134 0 0 16.669 -0.854 17.302 -0.477 1932 6 20.556 -0.845 0 0 20.953 -0.447 22.413 0.757 1932 7 22.667 -0.668 0 0 23.107 -0.228 24.248 0.657 1932 8 21.778 -1.194 0 0 22.208 -0.764 23.540 0.313 1932 9 18.611 -1.257 0 0 18.978 -0.890 20.598 0.474 1932 10 12.778 -0.336 0 0 12.982 -0.132 13.120 -0.250 1932 11 6.111 -1.223 0 0 6.073 -1.260 6.317 -1.272 1932 12 4.778 1.848 0 0 4.554 1.623 4.504 1.318 1933 1 5.556 4.131 0 0 5.303 3.878 5.295 3.615 1933 2 3.722 0.665 0 0 3.562 0.504 2.302 -1.011 1933 3 5.778 -1.821 0 0 5.749 -1.850 7.249 -0.606 1933 4 11.333 -1.630 0 0 11.454 -1.509 12.645 -0.574 1933 5 17.111 -0.412 0 0 17.391 -0.132 19.565 1.786 1933 6 18.667 -2.733 0 0 19.064 -2.336 22.492 0.836 1933 7 18.722 -4.613 0 0 19.162 -4.173 23.483 -0.108 1933 8 20.833 -2.138 0 0 21.263 -1.708 22.736 -0.491 1933 9 20.222 0.354 0 0 20.589 0.721 22.538 2.414 1933 10 11.667 -1.447 0 0 11.871 -1.243 13.471 0.101 1933 11 5.111 -2.223 0 0 5.073 -2.260 7.081 -0.508 1933 12 9.000 6.070 0 0 8.776 5.846 7.023 3.837 1934 1 5.333 3.909 0 0 5.080 3.656 3.566 1.886 1934 2 1.500 -1.558 0 0 1.340 -1.718 -0.280 -3.594 1934 3 7.389 -0.210 0 0 7.360 -0.239 6.874 -0.981 1934 4 12.500 -0.463 0 0 12.620 -0.343 13.313 0.094 1934 5 16.444 -1.078 0 0 16.724 -0.799 17.896 0.117 1934 6 21.222 -0.178 0 0 21.620 0.220 22.984 1.328 1934 7 23.333 -0.002 0 0 23.773 0.438 25.161 1.570 1934 8 21.944 -1.027 0 0 22.374 -0.597 23.621 0.394 1934 9 19.222 -0.646 0 0 19.589 -0.279 20.977 0.854 1934 10 10.889 -2.225 0 0 11.093 -2.021 13.764 0.394 1934 11 8.222 0.888 0 0 8.184 0.851 9.211 1.621 1934 12 2.111 -0.819 0 0 1.887 -1.043 2.027 -1.159 1935 1 4.611 3.187 0 0 4.358 2.934 2.949 1.269 1935 2 4.889 1.831 0 0 4.728 1.671 3.577 0.264 1935 3 10.222 2.623 0 4 10.294 2.695 11.322 3.467 1935 4 NaN NaN NaN NaN NaN NaN 13.054 -0.165 1935 5 17.667 0.144 0 0 16.976 -0.547 17.611 -0.168 1935 6 20.444 -0.956 0 0 19.464 -1.937 20.694 -0.962 1935 7 23.167 -0.168 0 0 22.081 -1.254 23.964 0.374 1935 8 23.111 0.140 0 0 22.050 -0.921 23.757 0.530 1935 9 20.111 0.243 0 0 19.205 -0.662 20.643 0.520 1935 10 14.833 1.719 0 0 14.330 1.216 14.112 0.743 1935 11 10.111 2.777 0 0 10.204 2.871 9.264 1.674 1935 12 0.444 -2.486 0 0 0.998 -1.932 -1.178 -4.364 1936 1 0.667 -0.758 0 0 1.291 -0.133 -0.614 -2.294 1936 2 2.667 -0.391 0 0 3.063 0.005 0.613 -2.700 1936 3 9.556 1.957 0 0 9.627 2.028 9.280 1.425 1936 4 12.222 -0.741 0 0 11.925 -1.038 12.150 -1.069 1936 5 18.444 0.922 0 0 17.754 0.231 19.157 1.378 1936 6 22.333 0.933 0 0 21.352 -0.048 23.230 1.575 1936 7 23.667 0.332 0 0 22.581 -0.754 24.761 1.170 1936 8 23.278 0.306 0 0 22.217 -0.754 24.530 1.302 1936 9 21.111 1.243 0 0 20.205 0.338 22.261 2.138 1936 10 14.611 1.497 0 0 14.108 0.994 14.588 1.218 1936 11 7.000 -0.334 0 0 7.093 -0.241 6.614 -0.976 1936 12 6.389 3.459 0 0 6.942 4.012 5.276 2.090 1937 1 10.389 8.965 0 0 11.013 9.589 8.691 7.011 1937 2 5.000 1.942 0 0 5.396 2.338 2.789 -0.525 1937 3 6.556 -1.043 0 0 6.627 -0.972 6.218 -1.637 1937 4 12.444 -0.519 0 0 12.147 -0.816 12.699 -0.520 1937 5 17.000 -0.523 0 0 16.310 -1.213 17.450 -0.328 1937 6 21.444 0.044 0 0 20.464 -0.937 22.659 1.003 1937 7 21.889 -1.446 0 0 20.803 -2.532 22.984 -0.607 1937 8 22.667 -0.305 0 0 21.606 -1.365 23.804 0.577 1937 9 18.500 -1.368 0 0 17.594 -2.274 19.570 -0.553 1937 10 11.667 -1.447 0 0 11.163 -1.951 11.739 -1.631 1937 11 6.111 -1.223 0 0 6.204 -1.129 5.831 -1.758 1937 12 2.722 -0.208 0 0 3.276 0.345 2.116 -1.070 1938 1 3.444 2.020 0 0 4.069 2.645 2.064 0.384 1938 2 8.389 5.331 0 0 8.785 5.727 7.008 3.695 1938 3 12.000 4.401 0 0 12.071 4.472 11.374 3.519 1938 4 13.611 0.648 0 0 13.314 0.351 14.067 0.848 1938 5 17.167 -0.356 0 0 16.476 -1.047 17.697 -0.082 1938 6 NaN NaN NaN NaN NaN NaN 20.703 -0.953 1938 7 22.944 -0.390 0 0 21.859 -1.476 23.432 -0.159 1938 8 23.444 0.473 0 0 22.384 -0.588 24.065 0.838 1938 9 19.222 -0.646 0 0 18.316 -1.551 20.338 0.215 1938 10 14.111 0.997 0 0 13.608 0.494 13.809 0.439 1938 11 8.778 1.444 0 0 8.871 1.537 8.497 0.908 1938 12 4.333 1.403 0 0 4.887 1.957 2.615 -0.571 1939 1 5.000 3.576 0 0 5.624 4.200 3.379 1.699 1939 2 7.000 3.942 0 0 7.396 4.338 5.817 2.504 1939 3 NaN NaN NaN NaN NaN NaN 9.265 1.411 1939 4 NaN NaN NaN NaN NaN NaN 12.137 -1.082 1939 5 NaN NaN NaN NaN NaN NaN 17.712 -0.067 1939 6 NaN NaN NaN NaN NaN NaN 23.413 1.757 1939 7 22.778 -0.557 0 0 21.692 -1.643 23.434 -0.157 1939 8 NaN NaN NaN NaN NaN NaN 22.853 -0.374 1939 9 NaN NaN NaN NaN NaN NaN 21.981 1.857 1939 10 NaN NaN NaN NaN NaN NaN 14.869 1.499 1939 11 NaN NaN NaN NaN NaN NaN 6.287 -1.302 1939 12 NaN NaN NaN NaN NaN NaN 3.617 0.431 1940 1 NaN NaN NaN NaN NaN NaN -5.121 -6.801 1940 2 NaN NaN NaN NaN NaN NaN 2.289 -1.024 1940 3 NaN NaN NaN NaN NaN NaN 6.376 -1.479 1940 4 NaN NaN NaN NaN NaN NaN 12.376 -0.843 1940 5 NaN NaN NaN NaN NaN NaN 15.875 -1.903 1940 6 NaN NaN NaN NaN NaN NaN 21.795 0.139 1940 7 NaN NaN NaN NaN NaN NaN 22.697 -0.894