% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31200 % Primary Name: ELIZABETHTON 2 % Record Type: TAVG % Country: United States % State: TN % Latitude: 36.35000 +/- 0.00500 % Longitude: -82.20000 +/- 0.00500 % Elevation (m): 488.00 +/- 0.05 % # of Months: 141 % % Alternate Names: Missing Station ID - 402811 % % IDs: coop - 402811 % ghcnd - USC00402811 % ncdc - 20018442 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e8acdf2f8a85d71957616c1c2f3a0295 % Raw Data Hash: 76ca33786240fb0431ccf90a61942b88 % Adj Data Hash: aeacf89d0e950191bb5a9103b5a1fd43 % % 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 1931 11 NaN NaN NaN NaN NaN NaN 11.001 3.714 1931 12 NaN NaN NaN NaN NaN NaN 7.117 4.143 1932 1 NaN NaN NaN NaN NaN NaN 6.650 5.130 1932 2 NaN NaN NaN NaN NaN NaN 6.673 4.011 1932 3 NaN NaN NaN NaN NaN NaN 4.569 -2.235 1932 4 NaN NaN NaN NaN NaN NaN 11.743 -0.220 1932 5 NaN NaN NaN NaN NaN NaN 15.847 -0.608 1932 6 NaN NaN NaN NaN NaN NaN 20.431 0.441 1932 7 NaN NaN NaN NaN NaN NaN 22.985 1.051 1932 8 NaN NaN NaN NaN NaN NaN 21.711 0.126 1932 9 NaN NaN NaN NaN NaN NaN 18.685 0.219 1932 10 NaN NaN NaN NaN NaN NaN 12.533 0.086 1932 11 7.389 -1.716 0 0 7.696 -1.409 6.312 -0.974 1932 12 9.139 4.346 0 0 9.419 4.626 4.550 1.576 1933 1 6.389 3.051 0 0 6.554 3.217 5.313 3.794 1933 2 3.722 -0.758 0 0 3.856 -0.624 2.265 -0.396 1933 3 7.444 -1.179 0 0 7.624 -0.999 6.423 -0.381 1933 4 13.667 -0.115 0 0 13.844 0.062 11.474 -0.489 1933 5 20.444 2.171 0 0 20.577 2.304 18.390 1.935 1933 6 23.444 1.635 0 0 23.579 1.770 21.085 1.094 1933 7 24.000 0.247 0 0 24.150 0.397 21.644 -0.291 1933 8 23.000 -0.404 0 0 23.109 -0.295 21.104 -0.481 1933 9 23.000 2.715 0 0 23.089 2.804 21.122 2.656 1933 10 14.556 0.289 0 0 14.746 0.479 12.455 0.007 1933 11 6.778 -2.327 0 0 7.085 -2.020 6.722 -0.565 1933 12 6.778 1.985 0 0 7.057 2.265 6.434 3.460 1934 1 4.667 1.329 0 0 4.832 1.494 3.295 1.776 1934 2 0.222 -4.258 0 0 0.356 -4.124 -1.097 -3.758 1934 3 7.778 -0.845 0 0 7.957 -0.666 5.760 -1.045 1934 4 13.222 -0.559 0 0 13.399 -0.382 11.981 0.019 1934 5 18.778 0.504 0 0 18.911 0.637 16.486 0.031 1934 6 23.758 1.949 0 0 23.893 2.084 21.264 1.274 1934 7 25.111 1.358 0 0 25.262 1.508 23.428 1.493 1934 8 23.889 0.485 0 0 23.998 0.594 21.956 0.371 1934 9 21.111 0.826 0 0 21.200 0.916 19.635 1.169 1934 10 13.556 -0.711 0 0 13.746 -0.521 12.551 0.103 1934 11 9.389 0.284 0 0 9.696 0.591 8.596 1.310 1934 12 2.889 -1.904 0 0 3.169 -1.624 2.099 -0.875 1935 1 4.722 1.384 0 0 4.888 1.550 2.402 0.883 1935 2 4.778 0.297 0 0 4.912 0.432 2.868 0.206 1935 3 11.444 2.821 0 0 11.624 3.001 9.792 2.987 1935 4 12.833 -0.948 0 0 13.010 -0.771 11.452 -0.511 1935 5 17.667 -0.607 0 0 17.800 -0.474 15.825 -0.630 1935 6 20.889 -0.920 0 0 21.024 -0.785 19.565 -0.426 1935 7 24.444 0.691 0 0 24.595 0.842 22.128 0.193 1935 8 24.111 0.707 0 0 24.220 0.816 21.874 0.288 1935 9 20.833 0.549 0 0 20.923 0.638 18.842 0.376 1935 10 14.444 0.178 0 0 14.634 0.368 12.846 0.399 1935 11 9.667 0.562 0 0 9.974 0.869 9.274 1.988 1935 12 -0.611 -5.404 0 0 -0.331 -5.124 -1.550 -4.524 1936 1 1.222 -2.116 0 0 1.388 -1.950 -0.810 -2.330 1936 2 2.000 -2.480 0 0 2.134 -2.346 0.265 -2.396 1936 3 8.889 0.266 0 0 9.068 0.445 8.035 1.230 1936 4 12.000 -1.781 0 0 12.177 -1.605 10.808 -1.155 1936 5 19.278 1.004 0 0 19.411 1.137 17.489 1.034 1936 6 23.222 1.413 0 0 23.357 1.548 20.910 0.920 1936 7 24.556 0.802 0 0 24.706 0.953 22.959 1.024 1936 8 24.222 0.818 0 0 24.331 0.927 22.376 0.790 1936 9 21.667 1.382 0 0 21.756 1.471 19.963 1.497 1936 10 15.667 1.400 0 0 15.857 1.590 14.018 1.571 1936 11 7.778 -1.327 0 0 8.085 -1.020 6.728 -0.558 1936 12 4.167 -0.626 0 0 4.446 -0.346 4.050 1.077 1937 1 11.556 8.218 0 0 11.721 8.383 7.742 6.223 1937 2 5.111 0.631 0 0 5.245 0.765 2.154 -0.508 1937 3 7.556 -1.068 0 0 7.735 -0.888 5.720 -1.085 1937 4 13.667 -0.115 0 0 13.844 0.062 11.471 -0.491 1937 5 18.333 0.060 0 0 18.466 0.193 16.166 -0.289 1937 6 23.000 1.191 0 0 23.135 1.326 21.165 1.175 1937 7 23.556 -0.198 0 0 23.706 -0.047 21.548 -0.387 1937 8 24.444 1.041 0 0 24.553 1.149 22.232 0.647 1937 9 20.389 0.104 0 0 20.478 0.193 17.664 -0.802 1937 10 12.667 -1.600 0 0 12.857 -1.410 10.614 -1.833 1937 11 6.611 -2.494 0 0 6.918 -2.187 5.700 -1.586 1937 12 3.278 -1.515 0 0 3.557 -1.235 2.247 -0.727 1938 1 3.944 0.607 0 0 4.110 0.772 1.896 0.377 1938 2 8.667 4.186 0 0 8.801 4.321 5.598 2.936 1938 3 11.722 3.099 0 0 11.901 3.278 10.203 3.398 1938 4 14.056 0.274 0 0 14.233 0.451 12.439 0.476 1938 5 18.278 0.004 0 0 18.411 0.137 16.563 0.108 1938 6 21.056 -0.754 0 0 21.191 -0.619 19.015 -0.976 1938 7 23.889 0.136 0 0 24.039 0.286 21.624 -0.310 1938 8 24.111 0.707 0 0 24.220 0.816 22.441 0.856 1938 9 20.222 -0.063 0 0 20.311 0.027 19.037 0.571 1938 10 14.000 -0.266 0 0 14.190 -0.076 12.849 0.402 1938 11 9.889 0.784 0 0 10.196 1.091 8.943 1.657 1938 12 3.611 -1.181 0 0 3.891 -0.902 2.574 -0.399 1939 1 4.111 0.773 0 0 4.277 0.939 3.131 1.612 1939 2 8.000 3.520 0 0 8.134 3.654 5.292 2.631 1939 3 9.722 1.099 0 0 9.901 1.278 8.466 1.662 1939 4 11.778 -2.004 0 0 11.955 -1.827 11.276 -0.687 1939 5 18.056 -0.218 0 0 18.189 -0.085 16.414 -0.041 1939 6 23.889 2.080 0 0 24.024 2.215 22.115 2.124 1939 7 23.722 -0.031 0 0 23.873 0.119 21.856 -0.078 1939 8 23.111 -0.293 0 0 23.220 -0.184 21.476 -0.109 1939 9 21.444 1.160 0 0 21.534 1.249 20.088 1.622 1939 10 15.667 1.400 0 0 15.857 1.590 14.082 1.634 1939 11 6.444 -2.661 0 0 6.752 -2.354 6.323 -0.963 1939 12 4.333 -0.459 0 0 4.613 -0.179 3.807 0.833 1940 1 -2.944 -6.282 0 0 -2.779 -6.117 -4.556 -6.075 1940 2 3.778 -0.703 0 0 3.912 -0.568 1.821 -0.840 1940 3 6.611 -2.012 0 0 6.790 -1.833 5.084 -1.720 1940 4 12.611 -1.170 0 0 12.788 -0.993 11.039 -0.924 1940 5 16.389 -1.885 0 0 16.522 -1.752 15.231 -1.224 1940 6 22.278 0.469 0 0 22.413 0.604 20.391 0.401 1940 7 23.667 -0.087 0 4 23.384 -0.369 21.169 -0.765 1940 8 23.611 0.207 0 0 23.407 0.003 20.965 -0.620 1940 9 18.833 -1.451 0 0 18.666 -1.619 17.057 -1.410 1940 10 14.889 0.623 0 0 14.532 0.266 12.643 0.195 1940 11 8.556 -0.550 0 0 7.979 -1.126 7.220 -0.067 1940 12 7.889 3.096 0 0 7.364 2.571 5.219 2.246 1941 1 4.222 0.884 0 0 3.911 0.573 1.863 0.344 1941 2 1.500 -2.980 0 0 1.248 -3.232 -0.807 -3.469 1941 3 5.389 -3.234 0 0 5.052 -3.571 3.238 -3.566 1941 4 15.278 1.496 0 0 14.946 1.164 13.341 1.379 1941 5 18.889 0.615 0 0 18.639 0.366 17.062 0.607 1941 6 22.556 0.746 0 0 22.302 0.493 20.274 0.284 1941 7 24.778 1.025 0 0 24.495 0.742 22.182 0.247 1941 8 24.778 1.374 0 0 24.573 1.169 22.296 0.711 1941 9 22.611 2.326 0 0 22.444 2.159 19.938 1.472 1941 10 18.333 4.067 0 0 17.977 3.710 15.827 3.379 1941 11 8.889 -0.216 0 0 8.312 -0.793 7.854 0.568 1941 12 7.167 2.374 0 0 6.642 1.849 5.076 2.102 1942 1 2.556 -0.782 0 0 2.245 -1.093 0.998 -0.521 1942 2 2.111 -2.369 0 0 1.859 -2.621 -0.386 -3.048 1942 3 10.000 1.377 0 0 9.663 1.040 7.412 0.608 1942 4 14.889 1.107 0 0 14.557 0.775 13.381 1.419 1942 5 19.000 0.727 0 0 18.750 0.477 16.680 0.226 1942 6 23.500 1.691 0 0 23.247 1.437 20.827 0.836 1942 7 24.222 0.469 0 0 23.940 0.186 22.449 0.514 1942 8 22.889 -0.515 0 0 22.685 -0.719 21.041 -0.545 1942 9 20.167 -0.118 0 0 19.999 -0.286 18.611 0.145 1942 10 15.111 0.845 0 0 14.754 0.488 13.186 0.738 1942 11 10.333 1.228 0 0 9.757 0.652 8.696 1.410 1942 12 4.278 -0.515 0 0 3.753 -1.040 2.358 -0.616 1943 1 5.167 1.829 0 0 4.856 1.518 3.575 2.056 1943 2 4.556 0.075 0 0 4.304 -0.177 2.936 0.275 1943 3 8.444 -0.179 0 0 8.108 -0.515 5.793 -1.012 1943 4 12.111 -1.670 0 0 11.779 -2.003 10.616 -1.346 1943 5 20.889 2.615 0 0 20.639 2.366 17.334 0.879 1943 6 NaN NaN NaN NaN NaN NaN 22.506 2.516 1943 7 NaN NaN NaN NaN NaN NaN 21.777 -0.157 1943 8 24.556 1.152 0 0 24.351 0.947 22.517 0.932 1943 9 19.722 -0.563 0 0 19.555 -0.730 17.109 -1.358 1943 10 14.000 -0.266 0 0 13.643 -0.623 11.948 -0.500 1943 11 8.389 -0.716 0 0 7.812 -1.293 6.765 -0.521 1943 12 NaN NaN NaN NaN NaN NaN 2.953 -0.021 1944 1 4.333 0.996 0 0 4.022 0.685 2.436 0.917 1944 2 7.833 3.353 0 0 7.581 3.101 4.484 1.823 1944 3 8.778 0.155 0 0 8.441 -0.182 6.624 -0.181 1944 4 13.111 -0.670 0 0 12.779 -1.003 11.308 -0.654 1944 5 20.000 1.727 0 0 19.750 1.477 18.005 1.551 1944 6 NaN NaN NaN NaN NaN NaN 21.455 1.465 1944 7 NaN NaN NaN NaN NaN NaN 21.060 -0.874 1944 8 NaN NaN NaN NaN NaN NaN 21.044 -0.541 1944 9 NaN NaN NaN NaN NaN NaN 19.158 0.692 1944 10 NaN NaN NaN NaN NaN NaN 12.444 -0.003 1944 11 NaN NaN NaN NaN NaN NaN 6.578 -0.708 1944 12 NaN NaN NaN NaN NaN NaN 0.770 -2.204 1945 1 3.778 0.440 0 0 3.467 0.129 1.524 0.005 1945 2 6.333 1.853 0 0 6.081 1.601 3.784 1.122 1945 3 14.222 5.599 0 0 13.886 5.263 12.246 5.441 1945 4 15.333 1.552 0 0 15.001 1.220 13.780 1.817 1945 5 NaN NaN NaN NaN NaN NaN 14.791 -1.664 1945 6 22.222 0.413 0 0 21.969 0.160 20.390 0.400 1945 7 NaN NaN NaN NaN NaN NaN 21.910 -0.024 1945 8 NaN NaN NaN NaN NaN NaN 21.497 -0.088 1945 9 NaN NaN NaN NaN NaN NaN 20.559 2.093 1945 10 NaN NaN NaN NaN NaN NaN 12.158 -0.290 1945 11 NaN NaN NaN NaN NaN NaN 8.428 1.141 1945 12 NaN NaN NaN NaN NaN NaN -0.186 -3.160 1946 1 NaN NaN NaN NaN NaN NaN 2.734 1.215 1946 2 NaN NaN NaN NaN NaN NaN 3.792 1.131 1946 3 NaN NaN NaN NaN NaN NaN 11.011 4.206 1946 4 NaN NaN NaN NaN NaN NaN 13.659 1.696 1946 5 NaN NaN NaN NaN NaN NaN 15.575 -0.880 1946 6 NaN NaN NaN NaN NaN NaN 20.027 0.037