% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31228 % Primary Name: TIPTONVILLE % Record Type: TAVG % Country: United States % State: TN % Latitude: 36.38330 +/- 0.00005 % Longitude: -89.48330 +/- 0.00005 % Elevation (m): 92.00 +/- 0.05 % # of Months: 158 % % IDs: coop - 409020 % ghcnd - USC00409020 % ncdc - 20018464 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 52414bb780eab564f9ad379bfb6ea788 % Raw Data Hash: 0f8b1dc8d503928f26039a9839fe73c9 % Adj Data Hash: afc9741b54209725912c83e743408099 % % 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 1927 9 NaN NaN NaN NaN NaN NaN 23.938 1.826 1927 10 NaN NaN NaN NaN NaN NaN 17.049 1.390 1927 11 NaN NaN NaN NaN NaN NaN 11.689 2.420 1927 12 NaN NaN NaN NaN NaN NaN 3.388 -0.891 1928 1 NaN NaN NaN NaN NaN NaN 2.180 0.130 1928 2 NaN NaN NaN NaN NaN NaN 4.440 0.085 1928 3 NaN NaN NaN NaN NaN NaN 9.011 -0.245 1928 4 NaN NaN NaN NaN NaN NaN 13.064 -2.439 1928 5 NaN NaN NaN NaN NaN NaN 19.483 -1.016 1928 6 NaN NaN NaN NaN NaN NaN 22.486 -2.435 1928 7 NaN NaN NaN NaN NaN NaN 26.604 -0.109 1928 8 NaN NaN NaN NaN NaN NaN 26.408 0.667 1928 9 17.055 -5.368 1 0 NaN NaN 20.118 -1.993 1928 10 17.756 1.786 0 0 17.913 1.942 17.400 1.740 1928 11 9.038 -0.542 0 0 9.209 -0.371 9.042 -0.227 1928 12 5.018 0.427 0 0 5.219 0.628 4.929 0.650 1929 1 1.703 -0.658 0 0 1.963 -0.399 1.592 -0.458 1929 2 -0.264 -4.931 0 0 0.051 -4.616 -0.127 -4.482 1929 3 11.202 1.634 0 0 11.543 1.975 11.569 2.313 1929 4 16.233 0.419 0 0 16.560 0.746 16.547 1.045 1929 5 18.750 -2.060 0 0 19.013 -1.797 18.970 -1.529 1929 6 24.167 -1.065 0 0 24.330 -0.902 24.243 -0.678 1929 7 26.868 -0.156 0 0 26.954 -0.070 26.591 -0.121 1929 8 24.961 -1.091 0 0 25.042 -1.011 24.534 -1.207 1929 9 22.064 -0.358 0 0 22.187 -0.235 21.858 -0.253 1929 10 15.519 -0.451 0 0 15.676 -0.295 15.248 -0.411 1929 11 7.330 -2.251 0 0 7.500 -2.080 7.382 -1.887 1929 12 4.631 0.040 0 0 4.832 0.241 5.171 0.891 1930 1 0.398 -1.963 0 0 0.658 -1.704 -0.354 -2.404 1930 2 9.332 4.666 0 0 9.647 4.981 8.683 4.328 1930 3 8.903 -0.664 0 0 9.244 -0.323 8.192 -1.064 1930 4 16.577 0.763 0 0 16.904 1.090 16.828 1.325 1930 5 20.392 -0.418 0 0 20.655 -0.155 20.180 -0.319 1930 6 24.695 -0.537 0 0 24.858 -0.374 24.911 -0.010 1930 7 28.826 1.802 0 0 28.912 1.888 28.603 1.890 1930 8 26.366 0.314 0 0 26.446 0.394 25.998 0.257 1930 9 24.095 1.672 0 0 24.218 1.795 23.687 1.576 1930 10 15.155 -0.816 0 0 15.311 -0.659 14.733 -0.927 1930 11 9.042 -0.539 0 0 9.212 -0.368 9.310 0.041 1930 12 2.748 -1.842 0 0 2.950 -1.641 3.204 -1.075 1931 1 3.758 1.397 0 0 4.018 1.656 3.377 1.327 1931 2 6.777 2.110 0 0 7.092 2.426 6.472 2.117 1931 3 6.600 -2.967 0 0 6.942 -2.626 6.392 -2.865 1931 4 14.535 -1.279 0 0 14.862 -0.952 14.787 -0.715 1931 5 18.248 -2.562 0 0 18.511 -2.299 18.075 -2.424 1931 6 26.267 1.035 0 0 26.430 1.198 26.409 1.488 1931 7 27.560 0.536 0 0 27.646 0.622 27.023 0.310 1931 8 25.131 -0.921 0 0 25.211 -0.841 24.313 -1.427 1931 9 25.233 2.811 0 0 25.356 2.934 25.162 3.050 1931 10 19.202 3.231 0 0 19.358 3.387 18.500 2.841 1931 11 13.827 4.246 0 0 13.997 4.417 13.596 4.326 1931 12 8.908 4.317 0 0 9.110 4.519 9.145 4.865 1932 1 7.234 4.872 0 0 7.493 5.132 6.245 4.195 1932 2 9.278 4.611 0 0 9.593 4.926 9.099 4.744 1932 3 7.354 -2.214 0 0 7.695 -1.873 6.954 -2.302 1932 4 15.990 0.176 0 0 16.317 0.503 16.366 0.864 1932 5 20.568 -0.242 0 0 20.831 0.021 20.263 -0.236 1932 6 26.185 0.953 0 0 26.348 1.116 26.306 1.386 1932 7 28.121 1.097 0 0 28.207 1.183 27.914 1.201 1932 8 26.437 0.385 0 0 26.517 0.465 26.320 0.580 1932 9 21.575 -0.848 0 0 21.698 -0.725 21.895 -0.217 1932 10 14.874 -1.096 0 0 15.031 -0.940 14.850 -0.809 1932 11 6.793 -2.787 0 0 6.964 -2.616 7.275 -1.994 1932 12 3.295 -1.296 0 0 3.497 -1.094 3.131 -1.149 1933 1 7.697 5.335 0 0 7.956 5.595 7.062 5.012 1933 2 3.850 -0.816 0 0 4.165 -0.501 3.396 -0.960 1933 3 10.568 1.000 0 4 10.255 0.688 9.082 -0.174 1933 4 15.812 -0.002 0 0 15.513 -0.301 15.099 -0.404 1933 5 22.366 1.556 0 0 22.126 1.316 21.604 1.105 1933 6 26.162 0.930 0 0 26.014 0.782 26.047 1.126 1933 7 26.418 -0.606 0 0 26.341 -0.683 26.487 -0.226 1933 8 25.287 -0.765 0 0 25.216 -0.836 25.015 -0.726 1933 9 25.510 3.087 0 0 25.399 2.977 25.406 3.294 1933 10 15.979 0.008 0 0 15.838 -0.133 15.595 -0.065 1933 11 10.540 0.960 0 0 10.386 0.805 9.998 0.729 1933 12 8.129 3.538 0 0 7.946 3.355 8.025 3.745 1934 1 6.018 3.656 0 0 5.781 3.419 4.871 2.821 1934 2 2.836 -1.831 0 0 2.548 -2.119 2.025 -2.330 1934 3 8.727 -0.840 0 0 8.415 -1.153 7.532 -1.725 1934 4 16.648 0.834 0 0 16.349 0.535 15.865 0.362 1934 5 21.805 0.995 0 0 21.565 0.755 21.159 0.660 1934 6 27.399 2.167 0 0 27.251 2.019 26.974 2.053 1934 7 29.203 2.179 0 0 29.127 2.103 29.009 2.297 1934 8 27.265 1.212 0 0 27.194 1.142 27.096 1.355 1934 9 20.275 -2.147 0 0 20.165 -2.258 21.070 -1.041 1934 10 17.481 1.510 0 0 17.339 1.368 17.280 1.620 1934 11 11.244 1.663 0 0 11.089 1.509 11.520 2.250 1934 12 3.389 -1.201 0 0 3.206 -1.385 3.548 -0.732 1935 1 4.662 2.301 0 0 4.425 2.064 3.772 1.722 1935 2 6.413 1.747 1 0 NaN NaN 5.449 1.094 1935 3 13.858 4.290 0 0 13.546 3.978 13.181 3.924 1935 4 13.378 -2.436 0 0 13.078 -2.736 14.111 -1.392 1935 5 NaN NaN NaN NaN NaN NaN 19.070 -1.429 1935 6 23.352 -1.880 0 0 23.204 -2.028 23.174 -1.747 1935 7 NaN NaN NaN NaN NaN NaN 27.508 0.795 1935 8 27.415 1.362 0 0 27.344 1.292 26.647 0.906 1935 9 22.243 -0.179 0 0 22.133 -0.290 21.876 -0.235 1935 10 17.377 1.407 0 0 17.236 1.265 16.617 0.957 1935 11 9.372 -0.208 0 0 9.218 -0.363 9.025 -0.244 1935 12 1.327 -3.264 0 0 1.144 -3.447 0.921 -3.359 1936 1 0.942 -1.420 0 0 0.705 -1.657 -0.391 -2.441 1936 2 0.919 -3.747 0 0 0.631 -4.036 -0.006 -4.361 1936 3 12.987 3.420 0 0 12.675 3.107 11.877 2.620 1936 4 13.882 -1.932 0 0 13.582 -2.232 13.345 -2.158 1936 5 22.031 1.220 0 0 21.791 0.980 21.227 0.728 1936 6 26.428 1.196 0 0 26.280 1.048 26.457 1.536 1936 7 28.468 1.444 0 0 28.391 1.367 28.186 1.473 1936 8 28.752 2.700 0 0 28.681 2.629 28.184 2.443 1936 9 25.212 2.789 0 0 25.101 2.679 24.677 2.566 1936 10 16.221 0.250 0 0 16.079 0.109 15.411 -0.249 1936 11 8.033 -1.547 0 0 7.879 -1.702 7.580 -1.689 1936 12 6.302 1.711 0 0 6.119 1.528 5.705 1.425 1937 1 5.100 2.738 0 0 4.863 2.502 4.224 2.174 1937 2 5.120 0.453 0 0 4.831 0.165 3.791 -0.564 1937 3 7.612 -1.956 1 0 NaN NaN 6.879 -2.377 1937 4 15.747 -0.067 0 0 15.448 -0.366 15.286 -0.216 1937 5 21.874 1.064 0 0 21.634 0.824 21.066 0.567 1937 6 25.760 0.528 0 0 25.612 0.380 25.669 0.749 1937 7 25.990 -1.034 0 0 25.914 -1.110 25.698 -1.014 1937 8 27.926 1.874 0 0 27.855 1.803 27.356 1.615 1937 9 21.783 -0.640 0 0 21.672 -0.750 21.696 -0.415 1937 10 15.232 -0.738 0 0 15.091 -0.880 14.649 -1.010 1937 11 8.153 -1.428 0 0 7.998 -1.582 7.879 -1.391 1937 12 3.511 -1.080 0 0 3.328 -1.263 3.298 -0.982 1938 1 3.980 1.619 0 0 3.744 1.382 2.969 0.918 1938 2 10.141 5.475 1 0 NaN NaN 8.495 4.140 1938 3 NaN NaN NaN NaN NaN NaN 13.714 4.457 1938 4 16.814 1.000 0 0 16.515 0.701 16.301 0.798 1938 5 20.950 0.140 0 0 20.710 -0.100 20.626 0.127 1938 6 23.725 -1.507 0 0 23.577 -1.655 23.906 -1.015 1938 7 27.105 0.081 0 0 27.028 0.005 27.061 0.348 1938 8 27.895 1.843 0 0 27.825 1.772 27.498 1.757 1938 9 22.988 0.566 0 0 22.878 0.455 23.008 0.896 1938 10 17.577 1.607 0 0 17.436 1.465 17.591 1.932 1938 11 10.293 0.713 0 0 10.139 0.558 9.677 0.408 1938 12 5.395 0.804 0 0 5.212 0.621 4.573 0.293 1939 1 7.092 4.730 0 0 6.855 4.494 5.326 3.276 1939 2 5.489 0.823 0 0 5.201 0.535 4.402 0.047 1939 3 11.829 2.261 0 0 11.517 1.949 10.670 1.413 1939 4 14.353 -1.461 0 0 14.054 -1.760 13.986 -1.517 1939 5 20.708 -0.102 0 0 20.468 -0.342 20.209 -0.290 1939 6 25.290 0.058 0 0 25.142 -0.090 25.388 0.467 1939 7 27.165 0.141 0 0 27.088 0.064 26.762 0.049 1939 8 25.429 -0.623 0 0 25.358 -0.694 25.332 -0.409 1939 9 24.832 2.409 0 0 24.721 2.299 25.244 3.133 1939 10 17.589 1.618 0 0 17.447 1.477 17.266 1.606 1939 11 7.610 -1.970 0 0 7.455 -2.125 7.872 -1.398 1939 12 6.409 1.819 0 0 6.226 1.636 5.665 1.385 1940 1 -4.418 -6.779 0 0 -4.655 -7.016 -5.681 -7.732 1940 2 3.971 -0.696 0 0 3.682 -0.984 2.830 -1.525 1940 3 9.237 -0.330 0 0 8.925 -0.643 8.487 -0.769 1940 4 14.860 -0.954 0 0 14.561 -1.253 14.447 -1.055 1940 5 18.708 -2.102 0 4 18.959 -1.851 18.402 -2.097 1940 6 24.228 -1.004 0 0 24.379 -0.853 24.661 -0.260 1940 7 25.326 -1.698 0 0 25.399 -1.624 25.480 -1.233 1940 8 25.539 -0.513 0 0 25.607 -0.446 25.566 -0.174 1940 9 20.725 -1.697 0 0 20.836 -1.587 21.404 -0.707 1940 10 17.505 1.534 0 0 17.649 1.678 17.513 1.854 1940 11 8.742 -0.839 0 0 8.900 -0.680 8.652 -0.618 1940 12 7.127 2.537 0 0 7.316 2.726 6.922 2.643 1941 1 4.373 2.012 0 0 4.620 2.259 3.691 1.641 1941 2 3.116 -1.550 0 0 3.419 -1.248 2.452 -1.903 1941 3 7.124 -2.443 0 0 7.453 -2.115 6.679 -2.577 1941 4 17.279 1.465 0 0 17.593 1.779 17.350 1.848 1941 5 22.066 1.256 0 0 22.317 1.507 21.873 1.374 1941 6 24.984 -0.248 0 0 25.135 -0.097 25.725 0.804 1941 7 27.509 0.485 0 0 27.582 0.558 27.552 0.840 1941 8 27.334 1.282 0 0 27.402 1.350 26.968 1.227 1941 9 24.193 1.771 0 0 24.304 1.881 24.124 2.012 1941 10 18.862 2.891 0 0 19.006 3.036 19.170 3.510 1941 11 8.882 -0.699 0 0 9.040 -0.540 8.741 -0.528 1941 12 NaN NaN NaN NaN NaN NaN 6.150 1.871 1942 1 NaN NaN NaN NaN NaN NaN 0.638 -1.412 1942 2 NaN NaN NaN NaN NaN NaN 2.679 -1.676 1942 3 NaN NaN NaN NaN NaN NaN 10.154 0.898 1942 4 16.414 0.600 0 0 16.728 0.915 16.342 0.839 1942 5 20.944 0.133 0 0 21.194 0.384 20.002 -0.498 1942 6 NaN NaN NaN NaN NaN NaN 25.364 0.443 1942 7 NaN NaN NaN NaN NaN NaN 27.442 0.729 1942 8 NaN NaN NaN NaN NaN NaN 24.755 -0.986 1942 9 NaN NaN NaN NaN NaN NaN 21.493 -0.619 1942 10 NaN NaN NaN NaN NaN NaN 16.168 0.509 1942 11 NaN NaN NaN NaN NaN NaN 11.452 2.183 1942 12 NaN NaN NaN NaN NaN NaN 3.959 -0.321 1943 1 NaN NaN NaN NaN NaN NaN 3.195 1.145 1943 2 NaN NaN NaN NaN NaN NaN 6.038 1.683 1943 3 NaN NaN NaN NaN NaN NaN 6.571 -2.686 1943 4 NaN NaN NaN NaN NaN NaN 15.222 -0.281 1943 5 NaN NaN NaN NaN NaN NaN 21.081 0.582