% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36880 % Primary Name: VERMILLION % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.41670 +/- 0.00005 % Longitude: -82.38330 +/- 0.00005 % Elevation (m): 183.79 +/- 0.15 % # of Months: 100 % % Alternate Names: Missing Station ID - 338630 % % IDs: coop - 338630 % ghcnd - USC00338630 % ncdc - 12004058 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9e5caafa68f7c7618d0c887d87fae6f5 % Raw Data Hash: 10c7e06c35911c947b15a68e0a5f0333 % Adj Data Hash: 49e04faaa5b8c2c71b35a2a3fcba9363 % % 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 5 NaN NaN NaN NaN NaN NaN 13.930 -1.525 1892 6 NaN NaN NaN NaN NaN NaN 22.131 1.431 1892 7 NaN NaN NaN NaN NaN NaN 22.426 -0.356 1892 8 NaN NaN NaN NaN NaN NaN 21.755 -0.072 1892 9 NaN NaN NaN NaN NaN NaN 17.955 -0.162 1892 10 NaN NaN NaN NaN NaN NaN 10.804 -0.654 1892 11 NaN NaN NaN NaN NaN NaN 2.559 -2.255 1892 12 NaN NaN NaN NaN NaN NaN -3.417 -1.949 1893 1 NaN NaN NaN NaN NaN NaN -9.889 -5.605 1893 2 NaN NaN NaN NaN NaN NaN -4.255 -1.539 1893 3 NaN NaN NaN NaN NaN NaN 2.052 -0.696 1893 4 NaN NaN NaN NaN NaN NaN 8.892 -0.533 1893 5 16.133 0.800 1 0 NaN NaN 13.528 -1.927 1893 6 NaN NaN NaN NaN NaN NaN 21.274 0.575 1893 7 22.575 -0.086 1 0 NaN NaN 23.008 0.226 1893 8 NaN NaN NaN NaN NaN NaN 20.946 -0.881 1893 9 17.475 -0.520 0 0 17.475 -0.520 17.934 -0.182 1893 10 11.846 0.509 0 0 11.846 0.509 11.686 0.229 1893 11 3.537 -1.155 0 0 3.537 -1.155 3.592 -1.222 1893 12 -0.699 0.890 0 0 -0.699 0.890 -1.669 -0.201 1894 1 -0.161 4.244 0 0 -0.161 4.244 -1.190 3.094 1894 2 -3.155 -0.318 0 0 -3.155 -0.318 -4.106 -1.390 1894 3 5.824 3.198 0 0 5.824 3.198 6.171 3.424 1894 4 8.774 -0.530 0 0 8.774 -0.530 9.761 0.336 1894 5 14.427 -0.907 0 0 14.427 -0.907 14.667 -0.787 1894 6 20.556 -0.023 0 0 20.556 -0.023 21.822 1.123 1894 7 22.599 -0.062 0 0 22.599 -0.062 23.246 0.464 1894 8 20.842 -0.863 0 0 20.842 -0.863 20.885 -0.942 1894 9 18.926 0.931 0 0 18.926 0.931 19.642 1.526 1894 10 11.738 0.402 0 0 11.738 0.402 11.501 0.044 1894 11 2.278 -2.415 0 0 2.278 -2.415 2.377 -2.436 1894 12 0.803 2.392 0 0 0.803 2.392 -0.050 1.417 1895 1 -5.932 -1.527 0 0 -5.932 -1.527 -7.098 -2.813 1895 2 -7.619 -4.782 0 0 -7.619 -4.782 -8.481 -5.765 1895 3 -0.824 -3.451 0 0 -0.824 -3.451 0.076 -2.672 1895 4 9.241 -0.063 0 0 9.241 -0.063 10.164 0.739 1895 5 15.556 0.222 0 0 15.556 0.222 15.615 0.161 1895 6 21.148 0.570 0 0 21.148 0.570 22.025 1.326 1895 7 21.004 -1.657 0 0 21.004 -1.657 21.410 -1.372 1895 8 21.846 0.141 0 0 21.846 0.141 22.122 0.296 1895 9 19.759 1.764 0 0 19.759 1.764 20.073 1.957 1895 10 7.502 -3.835 0 0 7.502 -3.835 7.335 -4.123 1895 11 4.380 -0.313 0 0 4.380 -0.313 4.120 -0.694 1895 12 0.105 1.693 0 0 0.105 1.693 -0.798 0.669 1896 1 -2.845 1.560 0 0 -2.845 1.560 -3.718 0.567 1896 2 -2.622 0.215 1 0 NaN NaN -2.989 -0.273 1896 3 -1.440 -4.067 0 0 -1.440 -4.067 -0.911 -3.659 1896 4 12.080 2.776 0 0 12.080 2.776 12.983 3.558 1896 5 18.474 3.141 0 0 18.474 3.141 19.206 3.752 1896 6 18.930 -1.648 0 0 18.930 -1.648 20.508 -0.191 1896 7 21.776 -0.885 0 0 21.776 -0.885 22.348 -0.434 1896 8 20.932 -0.773 0 0 20.932 -0.773 21.367 -0.459 1896 9 15.310 -2.685 0 0 15.310 -2.685 16.111 -2.006 1896 10 8.269 -3.067 0 0 8.269 -3.067 8.642 -2.816 1896 11 6.487 1.794 0 0 6.487 1.794 6.362 1.548 1896 12 -0.058 1.531 0 0 -0.058 1.531 -1.222 0.245 1897 1 -4.597 -0.191 0 0 -4.597 -0.191 -5.665 -1.381 1897 2 -1.604 1.233 0 0 -1.604 1.233 -1.912 0.804 1897 3 3.158 0.532 0 0 3.158 0.532 3.793 1.046 1897 4 8.297 -1.007 0 0 8.297 -1.007 8.710 -0.715 1897 5 12.823 -2.511 0 0 12.823 -2.511 12.960 -2.495 1897 6 19.937 -0.641 0 0 19.937 -0.641 19.223 -1.476 1897 7 23.235 0.575 0 0 23.235 0.575 23.792 1.010 1897 8 19.673 -2.033 0 0 19.673 -2.033 19.859 -1.968 1897 9 19.032 1.036 0 0 19.032 1.036 19.167 1.051 1897 10 12.694 1.357 0 0 12.694 1.357 13.696 2.238 1897 11 4.892 0.199 0 0 4.892 0.199 4.885 0.071 1897 12 0.648 2.237 0 0 0.648 2.237 -1.515 -0.048 1898 1 -0.603 3.802 0 0 -0.603 3.802 -1.757 2.528 1898 2 -2.132 0.705 0 0 -2.132 0.705 -2.857 -0.141 1898 3 5.503 2.877 0 0 5.503 2.877 5.960 3.213 1898 4 6.897 -2.407 0 0 6.897 -2.407 7.952 -1.473 1898 5 14.924 -0.409 0 0 14.924 -0.409 15.278 -0.176 1898 6 20.553 -0.025 0 0 20.553 -0.025 21.627 0.928 1898 7 22.706 0.046 0 0 22.706 0.046 23.736 0.954 1898 8 21.824 0.119 0 0 21.824 0.119 22.249 0.422 1898 9 19.273 1.278 0 0 19.273 1.278 19.882 1.766 1898 10 11.555 0.218 0 0 11.555 0.218 11.633 0.175 1898 11 3.478 -1.214 0 0 3.478 -1.214 3.110 -1.703 1898 12 -1.826 -0.237 0 0 -1.826 -0.237 -3.225 -1.757 1899 1 -2.923 1.483 0 0 -2.923 1.483 -4.077 0.207 1899 2 -5.964 -3.127 0 0 -5.964 -3.127 -7.165 -4.449 1899 3 0.700 -1.926 0 0 0.700 -1.926 1.088 -1.659 1899 4 10.478 1.175 0 0 10.478 1.175 11.326 1.901 1899 5 15.787 0.454 0 0 15.787 0.454 16.601 1.146 1899 6 20.247 -0.331 0 0 20.247 -0.331 21.849 1.149 1899 7 22.334 -0.327 0 0 22.334 -0.327 22.959 0.177 1899 8 21.953 0.248 0 0 21.953 0.248 22.649 0.822 1899 9 16.725 -1.270 0 0 16.725 -1.270 17.327 -0.789 1899 10 13.965 2.628 0 0 13.965 2.628 13.804 2.346 1899 11 6.415 1.722 0 0 6.415 1.722 6.286 1.472 1899 12 -1.157 0.432 0 0 -1.157 0.432 -2.356 -0.889 1900 1 -1.089 3.317 0 0 -1.089 3.317 -2.312 1.972 1900 2 -4.113 -1.275 0 0 -4.113 -1.275 -5.355 -2.639 1900 3 -1.800 -4.426 0 0 -1.800 -4.426 -1.096 -3.844 1900 4 8.601 -0.702 0 0 8.601 -0.702 9.445 0.020 1900 5 15.897 0.563 0 0 15.897 0.563 16.571 1.117 1900 6 18.995 -1.583 0 0 18.995 -1.583 20.505 -0.194 1900 7 22.321 -0.340 0 0 22.321 -0.340 22.941 0.159 1900 8 23.652 1.946 0 0 23.652 1.946 24.184 2.358 1900 9 19.388 1.393 0 0 19.388 1.393 20.317 2.201 1900 10 15.332 3.996 0 0 15.332 3.996 15.410 3.952 1900 11 4.832 0.139 0 0 4.832 0.139 4.752 -0.061 1900 12 -0.974 0.614 0 0 -0.974 0.614 -1.538 -0.071 1901 1 -2.927 1.478 0 0 -2.927 1.478 -3.552 0.732 1901 2 NaN NaN NaN NaN NaN NaN -8.280 -5.564 1901 3 2.842 0.216 0 0 2.842 0.216 2.882 0.135 1901 4 7.333 -1.970 0 0 7.333 -1.970 8.120 -1.305 1901 5 13.571 -1.763 0 0 13.571 -1.763 14.128 -1.327 1901 6 20.387 -0.191 0 0 20.387 -0.191 21.475 0.776 1901 7 24.879 2.218 0 0 24.879 2.218 25.159 2.377 1901 8 21.935 0.230 0 0 21.935 0.230 22.204 0.378 1901 9 17.957 -0.039 0 0 17.957 -0.039 18.131 0.015 1901 10 12.215 0.878 0 0 12.215 0.878 11.839 0.381 1901 11 2.827 -1.866 0 0 2.827 -1.866 2.811 -2.002 1901 12 NaN NaN NaN NaN NaN NaN -3.986 -2.519 1902 1 NaN NaN NaN NaN NaN NaN -4.357 -0.072 1902 2 NaN NaN NaN NaN NaN NaN -6.936 -4.220 1902 3 NaN NaN NaN NaN NaN NaN 4.653 1.905 1902 4 NaN NaN NaN NaN NaN NaN 8.540 -0.885 1902 5 NaN NaN NaN NaN NaN NaN 15.836 0.381 1902 6 NaN NaN NaN NaN NaN NaN 19.013 -1.686 1902 7 NaN NaN NaN NaN NaN NaN 22.997 0.215 1902 8 NaN NaN NaN NaN NaN NaN 19.623 -2.204 1902 9 NaN NaN NaN NaN NaN NaN 17.184 -0.933 1902 10 NaN NaN NaN NaN NaN NaN 11.915 0.458 1902 11 NaN NaN NaN NaN NaN NaN 8.790 3.977