% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35916 % Primary Name: HACKNEY % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.65000 +/- 0.00500 % Longitude: -82.65000 +/- 0.00500 % Elevation (m): 191.11 +/- 0.15 % # of Months: 69 % % Alternate Names: Missing Station ID - 333460 % % IDs: coop - 333460 % ghcnd - USC00333460 % ncdc - 12004000 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 357575f20e56195097bbb1e3f8f3be38 % Raw Data Hash: 24b13afda569545fc61877aaefbe5216 % Adj Data Hash: d258d727a58aa03b8df4fc64625d92bc % % 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 1.210 2.223 0 0 1.210 2.223 -4.255 -1.539 1893 3 4.229 -0.221 0 0 4.229 -0.221 2.052 -0.696 1893 4 11.167 0.039 0 0 11.167 0.039 8.892 -0.533 1893 5 15.125 -2.032 0 0 15.125 -2.032 13.528 -1.927 1893 6 22.111 -0.291 0 0 22.111 -0.291 21.274 0.575 1893 7 23.566 -0.919 0 0 23.566 -0.919 23.008 0.226 1893 8 21.882 -1.648 0 0 21.882 -1.648 20.946 -0.881 1893 9 18.481 -1.338 0 0 18.481 -1.338 17.934 -0.182 1893 10 13.011 -0.150 0 0 13.011 -0.150 11.686 0.229 1893 11 4.148 -2.369 0 0 4.148 -2.369 3.592 -1.222 1893 12 0.824 0.589 0 0 0.824 0.589 -1.669 -0.201 1894 1 1.344 3.925 0 0 1.344 3.925 -1.190 3.094 1894 2 -0.298 0.715 0 0 -0.298 0.715 -4.106 -1.390 1894 3 7.921 3.470 0 0 7.921 3.470 6.171 3.424 1894 4 10.185 -0.943 0 0 10.185 -0.943 9.761 0.336 1894 5 15.789 -1.369 0 0 15.789 -1.369 14.667 -0.787 1894 6 21.926 -0.476 0 0 21.926 -0.476 21.822 1.123 1894 7 23.746 -0.740 0 0 23.746 -0.740 23.246 0.464 1894 8 22.724 -0.806 0 0 22.724 -0.806 20.885 -0.942 1894 9 20.685 0.866 0 0 20.685 0.866 19.642 1.526 1894 10 11.810 -1.351 0 0 11.810 -1.351 11.501 0.044 1894 11 3.019 -3.498 0 0 3.019 -3.498 2.377 -2.436 1894 12 1.039 0.804 0 0 1.039 0.804 -0.050 1.417 1895 1 -3.584 -1.003 0 0 -3.584 -1.003 -7.098 -2.813 1895 2 -5.972 -4.960 0 0 -5.972 -4.960 -8.481 -5.765 1895 3 2.975 -1.476 0 0 2.975 -1.476 0.076 -2.672 1895 4 12.000 0.872 0 0 12.000 0.872 10.164 0.739 1895 5 16.918 -0.240 0 0 16.918 -0.240 15.615 0.161 1895 6 22.685 0.283 0 0 22.685 0.283 22.025 1.326 1895 7 23.074 -1.411 0 0 23.074 -1.411 21.410 -1.372 1895 8 23.178 -0.352 1 0 NaN NaN 22.122 0.296 1895 9 20.593 0.773 0 0 20.593 0.773 20.073 1.957 1895 10 9.835 -3.325 0 0 9.835 -3.325 7.335 -4.123 1895 11 7.072 0.555 0 0 7.072 0.555 4.120 -0.694 1895 12 1.531 1.295 0 0 1.531 1.295 -0.798 0.669 1896 1 1.866 4.447 0 0 1.866 4.447 -3.718 0.567 1896 2 -0.159 0.854 1 0 NaN NaN -2.989 -0.273 1896 3 1.445 -3.006 0 0 1.445 -3.006 -0.911 -3.659 1896 4 13.900 2.772 0 0 13.900 2.772 12.983 3.558 1896 5 18.992 1.834 0 0 18.992 1.834 19.206 3.752 1896 6 21.630 -0.772 0 0 21.630 -0.772 20.508 -0.191 1896 7 23.389 -1.096 0 0 23.389 -1.096 22.348 -0.434 1896 8 20.624 -2.905 0 0 20.624 -2.905 21.367 -0.459 1896 9 16.827 -2.993 0 0 16.827 -2.993 16.111 -2.006 1896 10 9.263 -3.898 0 0 9.263 -3.898 8.642 -2.816 1896 11 4.693 -1.823 0 0 4.693 -1.823 6.362 1.548 1896 12 NaN NaN NaN NaN NaN NaN -1.222 0.245 1897 1 NaN NaN NaN NaN NaN NaN -5.665 -1.381 1897 2 2.264 3.277 0 0 2.264 3.277 -1.912 0.804 1897 3 NaN NaN NaN NaN NaN NaN 3.793 1.046 1897 4 10.465 -0.663 0 0 10.465 -0.663 8.710 -0.715 1897 5 NaN NaN NaN NaN NaN NaN 12.960 -2.495 1897 6 NaN NaN NaN NaN NaN NaN 19.223 -1.476 1897 7 NaN NaN NaN NaN NaN NaN 23.792 1.010 1897 8 NaN NaN NaN NaN NaN NaN 19.859 -1.968 1897 9 NaN NaN NaN NaN NaN NaN 19.167 1.051 1897 10 15.839 2.678 0 0 15.839 2.678 13.696 2.238 1897 11 8.267 1.750 0 0 8.267 1.750 4.885 0.071 1897 12 NaN NaN NaN NaN NaN NaN -1.515 -0.048 1898 1 1.387 3.968 0 0 1.387 3.968 -1.757 2.528 1898 2 -0.832 0.181 0 0 -0.832 0.181 -2.857 -0.141 1898 3 9.421 4.970 0 0 9.421 4.970 5.960 3.213 1898 4 10.317 -0.811 0 0 10.317 -0.811 7.952 -1.473 1898 5 18.932 1.775 0 0 18.932 1.775 15.278 -0.176 1898 6 NaN NaN NaN NaN NaN NaN 21.627 0.928 1898 7 22.924 -1.561 0 0 22.924 -1.561 23.736 0.954 1898 8 24.734 1.204 0 0 24.734 1.204 22.249 0.422 1898 9 20.813 0.994 0 0 20.813 0.994 19.882 1.766 1898 10 13.473 0.312 0 0 13.473 0.312 11.633 0.175 1898 11 6.845 0.328 0 0 6.845 0.328 3.110 -1.703 1898 12 -0.898 -1.134 0 0 -0.898 -1.134 -3.225 -1.757 1899 1 -1.865 0.716 1 0 NaN NaN -4.077 0.207 1899 2 -1.892 -0.879 1 0 NaN NaN -7.165 -4.449 1899 3 5.942 1.491 0 0 5.942 1.491 1.088 -1.659 1899 4 NaN NaN NaN NaN NaN NaN 11.326 1.901 1899 5 17.492 0.334 0 0 17.492 0.334 16.601 1.146 1899 6 22.937 0.534 0 0 22.937 0.534 21.849 1.149 1899 7 23.981 -0.505 0 0 23.981 -0.505 22.959 0.177 1899 8 22.235 -1.294 0 0 22.235 -1.294 22.649 0.822 1899 9 17.633 -2.186 0 0 17.633 -2.186 17.327 -0.789 1899 10 NaN NaN NaN NaN NaN NaN 13.804 2.346 1899 11 NaN NaN NaN NaN NaN NaN 6.286 1.472 1899 12 NaN NaN NaN NaN NaN NaN -2.356 -0.889 1900 1 NaN NaN NaN NaN NaN NaN -2.312 1.972 1900 2 NaN NaN NaN NaN NaN NaN -5.355 -2.639 1900 3 NaN NaN NaN NaN NaN NaN -1.096 -3.844 1900 4 NaN NaN NaN NaN NaN NaN 9.445 0.020 1900 5 NaN NaN NaN NaN NaN NaN 16.571 1.117 1900 6 NaN NaN NaN NaN NaN NaN 20.505 -0.194 1900 7 NaN NaN NaN NaN NaN NaN 22.941 0.159 1900 8 NaN NaN NaN NaN NaN NaN 24.184 2.358 1900 9 NaN NaN NaN NaN NaN NaN 20.317 2.201