% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35956 % Primary Name: BIG PRAIRIE % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.68330 +/- 0.00005 % Longitude: -82.10000 +/- 0.00005 % Elevation (m): 288.34 +/- 0.15 % # of Months: 98 % % Alternate Names: Missing Station ID - 330715 % % IDs: coop - 330715 % ghcnd - USC00330715 % ncdc - 12003970 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a8ae0a156dc28ff6762bd0c1df3325ed % Raw Data Hash: 836ec2960c9736167a85345ce5df3a05 % Adj Data Hash: 7f8ffdd1e78e345341c205261b700752 % % 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 -1.097 1.618 1892 3 NaN NaN NaN NaN NaN NaN -0.007 -2.754 1892 4 NaN NaN NaN NaN NaN NaN 8.370 -1.055 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 -3.148 -0.643 0 0 -3.148 -0.643 -4.255 -1.539 1893 3 2.778 -0.181 0 0 2.778 -0.181 2.052 -0.696 1893 4 9.603 -0.032 0 0 9.603 -0.032 8.892 -0.533 1893 5 14.247 -1.418 0 0 14.247 -1.418 13.528 -1.927 1893 6 20.098 -0.812 0 0 20.098 -0.812 21.274 0.575 1893 7 22.276 -0.717 0 0 22.276 -0.717 23.008 0.226 1893 8 20.233 -1.804 0 0 20.233 -1.804 20.946 -0.881 1893 9 16.925 -1.403 0 0 16.925 -1.403 17.934 -0.182 1893 10 11.667 -0.002 0 0 11.667 -0.002 11.686 0.229 1893 11 3.315 -1.710 0 0 3.315 -1.710 3.592 -1.222 1893 12 -0.591 0.665 0 0 -0.591 0.665 -1.669 -0.201 1894 1 0.611 4.684 0 0 0.611 4.684 -1.190 3.094 1894 2 -3.025 -0.520 0 0 -3.025 -0.520 -4.106 -1.390 1894 3 6.519 3.560 0 0 6.519 3.560 6.171 3.424 1894 4 9.484 -0.152 0 0 9.484 -0.152 9.761 0.336 1894 5 14.731 -0.934 0 0 14.731 -0.934 14.667 -0.787 1894 6 20.519 -0.392 0 0 20.519 -0.392 21.822 1.123 1894 7 22.368 -0.624 1 0 NaN NaN 23.246 0.464 1894 8 NaN NaN NaN NaN NaN NaN 20.885 -0.942 1894 9 NaN NaN NaN NaN NaN NaN 19.642 1.526 1894 10 NaN NaN NaN NaN NaN NaN 11.501 0.044 1894 11 1.963 -3.062 0 0 1.963 -3.062 2.377 -2.436 1894 12 0.556 1.812 0 0 0.556 1.812 -0.050 1.417 1895 1 -5.968 -1.894 0 0 -5.968 -1.894 -7.098 -2.813 1895 2 -7.778 -5.273 0 0 -7.778 -5.273 -8.481 -5.765 1895 3 0.054 -2.905 0 0 0.054 -2.905 0.076 -2.672 1895 4 10.870 1.235 0 0 10.870 1.235 10.164 0.739 1895 5 16.559 0.894 0 0 16.559 0.894 15.615 0.161 1895 6 22.093 1.183 0 0 22.093 1.183 22.025 1.326 1895 7 21.004 -1.989 0 0 21.004 -1.989 21.410 -1.372 1895 8 21.792 -0.245 0 0 21.792 -0.245 22.122 0.296 1895 9 19.389 1.062 0 0 19.389 1.062 20.073 1.957 1895 10 7.118 -4.551 0 0 7.118 -4.551 7.335 -4.123 1895 11 4.563 -0.462 0 0 4.563 -0.462 4.120 -0.694 1895 12 -1.585 -0.328 0 0 -1.585 -0.328 -0.798 0.669 1896 1 -1.483 2.591 0 0 -1.483 2.591 -3.718 0.567 1896 2 -1.981 0.524 0 0 -1.981 0.524 -2.989 -0.273 1896 3 -1.431 -4.390 0 0 -1.431 -4.390 -0.911 -3.659 1896 4 13.073 3.438 0 0 13.073 3.438 12.983 3.558 1896 5 19.033 3.367 0 0 19.033 3.367 19.206 3.752 1896 6 19.763 -1.147 0 0 19.763 -1.147 20.508 -0.191 1896 7 21.961 -1.032 0 0 21.961 -1.032 22.348 -0.434 1896 8 20.500 -1.537 0 0 20.500 -1.537 21.367 -0.459 1896 9 15.865 -2.462 0 0 15.865 -2.462 16.111 -2.006 1896 10 8.060 -3.609 0 0 8.060 -3.609 8.642 -2.816 1896 11 6.315 1.290 0 0 6.315 1.290 6.362 1.548 1896 12 -0.775 0.482 0 0 -0.775 0.482 -1.222 0.245 1897 1 -5.035 -0.962 0 0 -5.035 -0.962 -5.665 -1.381 1897 2 -0.589 1.916 0 0 -0.589 1.916 -1.912 0.804 1897 3 4.790 1.832 0 0 4.790 1.832 3.793 1.046 1897 4 9.125 -0.511 0 0 9.125 -0.511 8.710 -0.715 1897 5 12.674 -2.991 0 0 12.674 -2.991 12.960 -2.495 1897 6 NaN NaN NaN NaN NaN NaN 19.223 -1.476 1897 7 23.326 0.333 0 0 23.326 0.333 23.792 1.010 1897 8 19.013 -3.024 0 0 19.013 -3.024 19.859 -1.968 1897 9 17.563 -0.764 0 0 17.563 -0.764 19.167 1.051 1897 10 13.831 2.162 0 0 13.831 2.162 13.696 2.238 1897 11 4.180 -0.845 0 0 4.180 -0.845 4.885 0.071 1897 12 -1.021 0.236 0 0 -1.021 0.236 -1.515 -0.048 1898 1 -0.240 3.833 0 0 -0.240 3.833 -1.757 2.528 1898 2 -2.037 0.468 1 0 NaN NaN -2.857 -0.141 1898 3 6.078 3.120 0 0 6.078 3.120 5.960 3.213 1898 4 8.393 -1.242 0 0 8.393 -1.242 7.952 -1.473 1898 5 15.210 -0.456 0 0 15.210 -0.456 15.278 -0.176 1898 6 21.820 0.910 0 0 21.820 0.910 21.627 0.928 1898 7 23.858 0.865 0 0 23.858 0.865 23.736 0.954 1898 8 22.339 0.301 0 0 22.339 0.301 22.249 0.422 1898 9 19.589 1.262 0 0 19.589 1.262 19.882 1.766 1898 10 NaN NaN NaN NaN NaN NaN 11.633 0.175 1898 11 4.057 -0.968 0 0 4.057 -0.968 3.110 -1.703 1898 12 -2.070 -0.813 0 0 -2.070 -0.813 -3.225 -1.757 1899 1 -2.705 1.368 0 0 -2.705 1.368 -4.077 0.207 1899 2 -4.973 -2.468 1 0 NaN NaN -7.165 -4.449 1899 3 NaN NaN NaN NaN NaN NaN 1.088 -1.659 1899 4 12.167 2.531 0 0 12.167 2.531 11.326 1.901 1899 5 17.113 1.448 0 0 17.113 1.448 16.601 1.146 1899 6 20.615 -0.295 0 0 20.615 -0.295 21.849 1.149 1899 7 23.085 0.093 0 0 23.085 0.093 22.959 0.177 1899 8 22.777 0.740 0 0 22.777 0.740 22.649 0.822 1899 9 17.607 -0.721 0 0 17.607 -0.721 17.327 -0.789 1899 10 14.397 2.728 0 0 14.397 2.728 13.804 2.346 1899 11 6.398 1.374 0 0 6.398 1.374 6.286 1.472 1899 12 -1.309 -0.052 0 0 -1.309 -0.052 -2.356 -0.889 1900 1 -1.719 2.354 0 0 -1.719 2.354 -2.312 1.972 1900 2 -3.454 -0.949 0 0 -3.454 -0.949 -5.355 -2.639 1900 3 0.468 -2.491 0 0 0.468 -2.491 -1.096 -3.844 1900 4 9.668 0.033 0 0 9.668 0.033 9.445 0.020 1900 5 16.489 0.823 0 0 16.489 0.823 16.571 1.117 1900 6 20.280 -0.630 0 0 20.280 -0.630 20.505 -0.194 1900 7 22.735 -0.257 0 0 22.735 -0.257 22.941 0.159 1900 8 23.576 1.538 0 0 23.576 1.538 24.184 2.358 1900 9 19.918 1.591 0 0 19.918 1.591 20.317 2.201 1900 10 15.550 3.881 0 0 15.550 3.881 15.410 3.952 1900 11 5.402 0.377 0 0 5.402 0.377 4.752 -0.061 1900 12 -0.223 1.034 0 0 -0.223 1.034 -1.538 -0.071 1901 1 -1.593 2.480 0 0 -1.593 2.480 -3.552 0.732 1901 2 -6.266 -3.761 0 0 -6.266 -3.761 -8.280 -5.564 1901 3 3.717 0.758 0 0 3.717 0.758 2.882 0.135 1901 4 6.183 -3.452 0 0 6.183 -3.452 8.120 -1.305 1901 5 14.426 -1.240 0 0 14.426 -1.240 14.128 -1.327 1901 6 21.133 0.223 0 0 21.133 0.223 21.475 0.776 1901 7 26.323 3.330 1 0 NaN NaN 25.159 2.377 1901 8 22.030 -0.007 1 0 NaN NaN 22.204 0.378 1901 9 17.880 -0.447 0 0 17.880 -0.447 18.131 0.015 1901 10 NaN NaN NaN NaN NaN NaN 11.839 0.381 1901 11 NaN NaN NaN NaN NaN NaN 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