% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34395 % Primary Name: BETHANY % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.40000 +/- 0.00833 % Longitude: -84.40000 +/- 0.00833 % Elevation (m): 301.75 +/- 0.15 % # of Months: 118 % % Alternate Names: Missing Station ID - 330663 % % IDs: coop - 330663 % ghcnd - USC00330663 % ncdc - 12003967 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 40acedfc74a6946db5881d5b92e49a50 % Raw Data Hash: 3bb24ebe52603d719591d96880613411 % Adj Data Hash: 9c8aaccab98c5d42cedef34e54774dcb % % 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 1892 2 NaN NaN NaN NaN NaN NaN 1.443 2.048 1892 3 NaN NaN NaN NaN NaN NaN 1.989 -2.878 1892 4 NaN NaN NaN NaN NaN NaN 10.432 -1.003 1892 5 NaN NaN NaN NaN NaN NaN 15.431 -1.538 1892 6 NaN NaN NaN NaN NaN NaN 23.167 1.375 1892 7 NaN NaN NaN NaN NaN NaN 23.174 -0.606 1892 8 NaN NaN NaN NaN NaN NaN 22.202 -0.735 1892 9 NaN NaN NaN NaN NaN NaN 18.764 -0.599 1892 10 NaN NaN NaN NaN NaN NaN 11.534 -1.011 1892 11 NaN NaN NaN NaN NaN NaN 3.248 -2.670 1892 12 NaN NaN NaN NaN NaN NaN -1.566 -1.834 1893 1 NaN NaN NaN NaN NaN NaN -8.710 -6.199 1893 2 -0.357 -0.625 0 0 0.091 -0.177 -1.316 -0.712 1893 3 4.014 -1.725 0 0 4.417 -1.323 4.142 -0.724 1893 4 10.222 -2.086 0 0 10.763 -1.545 11.423 -0.012 1893 5 15.466 -2.376 0 0 16.190 -1.652 15.159 -1.810 1893 6 21.648 -1.016 0 0 22.435 -0.229 21.862 0.071 1893 7 24.749 0.096 0 0 25.560 0.908 24.656 0.876 1893 8 22.455 -1.355 0 0 23.377 -0.433 21.815 -1.122 1893 9 19.463 -0.773 0 0 20.472 0.236 20.317 0.954 1893 10 11.111 -2.307 0 0 12.034 -1.385 12.013 -0.533 1893 11 2.892 -3.899 0 0 3.642 -3.149 4.491 -1.427 1893 12 0.648 -0.493 0 0 1.294 0.153 0.715 0.447 1894 1 1.434 3.071 0 0 2.003 3.641 0.404 2.915 1894 2 -0.456 -0.725 0 0 -0.008 -0.276 -2.029 -1.424 1894 3 7.921 2.182 0 0 8.324 2.584 7.690 2.823 1894 4 10.978 -1.330 0 0 11.519 -0.789 11.462 0.027 1894 5 15.627 -2.215 0 0 16.351 -1.491 15.898 -1.071 1894 6 22.315 -0.349 0 0 23.101 0.437 22.630 0.839 1894 7 24.291 -0.362 0 0 25.103 0.450 23.482 -0.298 1894 8 23.351 -0.459 0 0 24.274 0.464 22.848 -0.089 1894 9 20.667 0.431 0 0 21.676 1.440 20.543 1.180 1894 10 12.832 -0.587 0 0 13.754 0.336 12.309 -0.237 1894 11 4.037 -2.754 0 0 4.787 -2.003 3.586 -2.332 1894 12 1.729 0.588 0 0 2.375 1.234 1.407 1.138 1895 1 -4.505 -2.867 0 0 -3.935 -2.298 -5.444 -2.933 1895 2 -6.587 -6.855 0 0 -6.139 -6.407 -7.331 -6.726 1895 3 3.710 -2.030 0 0 4.112 -1.627 3.432 -1.435 1895 4 11.685 -0.623 0 0 12.226 -0.082 12.152 0.717 1895 5 16.219 -1.623 0 0 16.942 -0.900 16.488 -0.481 1895 6 22.926 0.262 0 0 23.712 1.048 23.280 1.489 1895 7 23.208 -1.445 0 0 24.019 -0.633 22.634 -1.146 1895 8 24.050 0.240 0 0 24.972 1.162 23.686 0.749 1895 9 21.494 1.258 0 0 22.504 2.268 21.308 1.945 1895 10 8.631 -4.788 0 0 9.553 -3.865 8.481 -4.065 1895 11 4.823 -1.967 0 0 5.574 -1.217 5.287 -0.631 1895 12 1.998 0.857 0 0 2.644 1.503 1.196 0.928 1896 1 -0.631 1.007 0 0 -0.061 1.577 -1.924 0.587 1896 2 0.569 0.301 0 4 0.370 0.101 -0.666 -0.061 1896 3 1.692 -4.048 0 0 1.513 -4.227 1.399 -3.468 1896 4 15.962 3.654 0 0 15.721 3.413 15.285 3.850 1896 5 21.868 4.026 0 0 21.546 3.704 20.491 3.522 1896 6 22.595 -0.069 0 0 22.245 -0.419 21.669 -0.122 1896 7 24.474 -0.179 0 0 24.114 -0.539 23.348 -0.431 1896 8 23.558 -0.252 0 0 23.148 -0.662 22.558 -0.379 1896 9 18.737 -1.499 0 0 18.288 -1.948 17.659 -1.705 1896 10 12.331 -1.088 0 0 11.921 -1.498 10.251 -2.294 1896 11 8.502 1.711 0 0 8.168 1.378 7.249 1.332 1896 12 3.255 2.113 0 0 2.968 1.826 1.553 1.285 1897 1 -1.819 -0.182 0 0 -2.073 -0.435 -4.210 -1.700 1897 2 2.575 2.307 0 0 2.376 2.108 0.017 0.621 1897 3 7.756 2.017 0 0 7.577 1.838 6.217 1.351 1897 4 11.653 -0.655 0 0 11.413 -0.895 10.636 -0.800 1897 5 15.519 -2.323 0 0 15.198 -2.644 14.015 -2.954 1897 6 22.592 -0.072 0 0 22.242 -0.422 21.039 -0.752 1897 7 25.718 1.065 0 0 25.357 0.704 24.397 0.617 1897 8 22.976 -0.834 0 0 22.566 -1.244 21.408 -1.529 1897 9 22.517 2.281 0 0 22.068 1.832 20.611 1.248 1897 10 17.081 3.662 0 0 16.671 3.252 15.077 2.532 1897 11 7.552 0.761 0 0 7.218 0.428 6.174 0.257 1897 12 2.248 1.107 0 0 1.961 0.820 0.277 0.008 1898 1 2.210 3.847 0 0 1.957 3.594 -0.117 2.394 1898 2 1.139 0.871 0 0 0.940 0.672 -0.577 0.028 1898 3 10.395 4.656 0 0 10.216 4.477 7.579 2.712 1898 4 11.157 -1.151 0 0 10.916 -1.392 9.694 -1.742 1898 5 NaN NaN NaN NaN NaN NaN 16.873 -0.096 1898 6 25.128 2.464 0 0 24.779 2.115 22.780 0.989 1898 7 26.534 1.881 0 0 26.173 1.521 24.377 0.597 1898 8 24.690 0.880 0 0 24.280 0.470 23.175 0.238 1898 9 22.465 2.229 0 0 22.016 1.780 21.371 2.008 1898 10 NaN NaN NaN NaN NaN NaN 12.100 -0.446 1898 11 4.915 -1.876 0 0 4.582 -2.209 4.021 -1.896 1898 12 -0.845 -1.987 0 0 -1.132 -2.274 -2.094 -2.362 1899 1 -0.779 0.859 0 0 -1.032 0.606 -2.355 0.155 1899 2 -5.296 -5.565 0 0 -5.496 -5.764 -6.316 -5.711 1899 3 4.010 -1.730 0 0 3.831 -1.909 3.279 -1.587 1899 4 12.877 0.569 0 0 12.636 0.328 12.451 1.016 1899 5 18.911 1.069 0 0 18.590 0.748 17.589 0.620 1899 6 23.410 0.746 0 0 23.060 0.396 22.893 1.102 1899 7 24.937 0.284 0 0 24.576 -0.076 23.525 -0.254 1899 8 25.723 1.913 0 0 25.313 1.503 23.899 0.962 1899 9 19.790 -0.446 0 0 19.341 -0.895 19.168 -0.195 1899 10 15.408 1.990 0 0 14.998 1.579 14.783 2.238 1899 11 7.898 1.108 0 0 7.565 0.774 7.758 1.840 1899 12 -0.309 -1.450 0 0 -0.596 -1.737 -0.992 -1.260 1900 1 0.619 2.257 0 0 0.366 2.004 -0.487 2.024 1900 2 -1.995 -2.263 0 0 -2.194 -2.462 -3.522 -2.917 1900 3 2.321 -3.419 0 0 2.142 -3.598 2.011 -2.855 1900 4 11.433 -0.875 0 0 11.193 -1.115 11.189 -0.246 1900 5 18.753 0.911 0 0 18.432 0.590 17.641 0.672 1900 6 21.925 -0.739 0 0 21.575 -1.089 21.688 -0.103 1900 7 24.434 -0.219 0 0 24.073 -0.579 23.654 -0.126 1900 8 25.955 2.145 0 0 25.545 1.735 25.249 2.312 1900 9 22.452 2.216 0 0 22.003 1.767 21.918 2.555 1900 10 17.019 3.601 0 0 16.609 3.191 16.467 3.921 1900 11 6.138 -0.652 0 0 5.805 -0.986 6.081 0.163 1900 12 0.987 -0.154 0 0 0.700 -0.441 0.359 0.091 1901 1 -0.333 1.305 0 0 -0.586 1.052 -1.655 0.855 1901 2 -3.650 -3.918 0 0 -3.849 -4.117 -5.092 -4.488 1901 3 4.794 -0.945 0 0 4.615 -1.124 4.696 -0.170 1901 4 8.937 -3.371 0 0 8.696 -3.612 8.869 -2.566 1901 5 16.666 -1.176 0 0 16.345 -1.497 15.581 -1.388 1901 6 23.214 0.550 0 0 22.865 0.201 22.583 0.792 1901 7 27.586 2.934 0 0 27.226 2.573 26.775 2.995 1901 8 24.710 0.900 0 0 24.300 0.490 23.415 0.478 1901 9 20.107 -0.129 0 0 19.658 -0.578 19.393 0.029 1901 10 14.503 1.085 0 0 14.093 0.675 12.856 0.311 1901 11 5.345 -1.446 0 0 5.011 -1.780 3.691 -2.227 1901 12 -1.405 -2.546 0 0 -1.692 -2.834 -2.812 -3.080 1902 1 -0.868 0.770 0 0 -1.121 0.517 -2.696 -0.186 1902 2 -4.821 -5.090 0 0 -5.021 -5.289 -6.512 -5.907 1902 3 6.689 0.949 0 0 6.510 0.770 6.134 1.267 1902 4 11.003 -1.305 0 0 10.763 -1.545 10.340 -1.095 1902 5 19.484 1.642 0 0 19.162 1.320 18.550 1.581 1902 6 21.883 -0.781 0 0 21.534 -1.130 20.961 -0.830 1902 7 25.205 0.552 0 0 24.844 0.192 23.812 0.032 1902 8 23.247 -0.563 0 0 22.837 -0.973 21.684 -1.253 1902 9 19.074 -1.162 1 0 NaN NaN 18.188 -1.175 1902 10 14.816 1.397 0 0 14.406 0.987 13.492 0.947 1902 11 10.705 3.914 0 0 10.372 3.581 10.003 4.086 1902 12 0.090 -1.051 0 0 -0.197 -1.338 -1.114 -1.382 1903 1 -1.398 0.239 0 0 -1.652 -0.014 -3.314 -0.803 1903 2 NaN NaN NaN NaN NaN NaN -1.269 -0.664 1903 3 NaN NaN NaN NaN NaN NaN 8.268 3.401 1903 4 NaN NaN NaN NaN NaN NaN 11.107 -0.328 1903 5 NaN NaN NaN NaN NaN NaN 18.130 1.161 1903 6 NaN NaN NaN NaN NaN NaN 18.763 -3.029 1903 7 NaN NaN NaN NaN NaN NaN 23.555 -0.225 1903 8 NaN NaN NaN NaN NaN NaN 22.026 -0.911 1903 9 NaN NaN NaN NaN NaN NaN 19.556 0.193 1903 10 NaN NaN NaN NaN NaN NaN 12.669 0.124 1903 11 NaN NaN NaN NaN NaN NaN 3.368 -2.550 1903 12 NaN NaN NaN NaN NaN NaN -4.198 -4.467 1904 1 NaN NaN NaN NaN NaN NaN -6.000 -3.490