% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35634 % Primary Name: RICHWOOD % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.43330 +/- 0.00005 % Longitude: -83.30000 +/- 0.00005 % Elevation (m): 287.73 +/- 0.15 % # of Months: 82 % % Alternate Names: Missing Station ID - 337065 % % IDs: coop - 337065 % ghcnd - USC00337065 % ncdc - 12004037 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 314beb2d2c8d32165b41ca91d5e85d70 % Raw Data Hash: b81fe68fcd035f3c8e6dc6c37208e30a % Adj Data Hash: f7bc73b7b9c15b7e61ab784866e2a066 % % 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 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 NaN NaN NaN NaN NaN NaN 2.377 -2.436 1894 12 NaN NaN NaN NaN NaN NaN -0.050 1.417 1895 1 NaN NaN NaN NaN NaN NaN -7.098 -2.813 1895 2 NaN NaN NaN NaN NaN NaN -8.481 -5.765 1895 3 NaN NaN NaN NaN NaN NaN 0.076 -2.672 1895 4 NaN NaN NaN NaN NaN NaN 10.164 0.739 1895 5 NaN NaN NaN NaN NaN NaN 15.615 0.161 1895 6 NaN NaN NaN NaN NaN NaN 22.025 1.326 1895 7 NaN NaN NaN NaN NaN NaN 21.410 -1.372 1895 8 26.537 3.360 1 0 NaN NaN 22.122 0.296 1895 9 NaN NaN NaN NaN NaN NaN 20.073 1.957 1895 10 10.859 -1.950 1 0 NaN NaN 7.335 -4.123 1895 11 4.538 -1.626 0 0 4.538 -1.626 4.120 -0.694 1895 12 NaN NaN NaN NaN NaN NaN -0.798 0.669 1896 1 NaN NaN NaN NaN NaN NaN -3.718 0.567 1896 2 NaN NaN NaN NaN NaN NaN -2.989 -0.273 1896 3 NaN NaN NaN NaN NaN NaN -0.911 -3.659 1896 4 NaN NaN NaN NaN NaN NaN 12.983 3.558 1896 5 NaN NaN NaN NaN NaN NaN 19.206 3.752 1896 6 NaN NaN NaN NaN NaN NaN 20.508 -0.191 1896 7 NaN NaN NaN NaN NaN NaN 22.348 -0.434 1896 8 NaN NaN NaN NaN NaN NaN 21.367 -0.459 1896 9 NaN NaN NaN NaN NaN NaN 16.111 -2.006 1896 10 NaN NaN NaN NaN NaN NaN 8.642 -2.816 1896 11 NaN NaN NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN -1.912 0.804 1897 3 NaN NaN NaN NaN NaN NaN 3.793 1.046 1897 4 NaN NaN NaN NaN NaN NaN 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 20.638 1.172 0 2 20.638 1.172 19.167 1.051 1897 10 14.256 1.448 0 0 14.256 1.448 13.696 2.238 1897 11 5.280 -0.884 0 0 5.280 -0.884 4.885 0.071 1897 12 0.092 0.209 0 0 0.092 0.209 -1.515 -0.048 1898 1 -0.684 2.250 0 0 -0.684 2.250 -1.757 2.528 1898 2 -1.296 0.069 0 0 -1.296 0.069 -2.857 -0.141 1898 3 7.281 3.183 0 0 7.281 3.183 5.960 3.213 1898 4 9.263 -1.512 0 0 9.263 -1.512 7.952 -1.473 1898 5 16.544 -0.261 0 0 16.544 -0.261 15.278 -0.176 1898 6 22.993 0.944 0 0 22.993 0.944 21.627 0.928 1898 7 25.227 1.095 0 0 25.227 1.095 23.736 0.954 1898 8 24.834 1.657 0 0 24.834 1.657 22.249 0.422 1898 9 22.327 2.860 0 0 22.327 2.860 19.882 1.766 1898 10 13.410 0.602 0 0 13.410 0.602 11.633 0.175 1898 11 4.280 -1.884 0 0 4.280 -1.884 3.110 -1.703 1898 12 -2.148 -2.031 0 0 -2.148 -2.031 -3.225 -1.757 1899 1 -1.424 1.510 0 0 -1.424 1.510 -4.077 0.207 1899 2 -5.900 -4.535 0 0 -5.900 -4.535 -7.165 -4.449 1899 3 3.324 -0.774 0 0 3.324 -0.774 1.088 -1.659 1899 4 13.598 2.823 0 0 13.598 2.823 11.326 1.901 1899 5 19.519 2.714 0 0 19.519 2.714 16.601 1.146 1899 6 25.445 3.395 0 0 25.445 3.395 21.849 1.149 1899 7 25.347 1.214 0 0 25.347 1.214 22.959 0.177 1899 8 25.410 2.233 0 0 25.410 2.233 22.649 0.822 1899 9 18.963 -0.503 0 0 18.963 -0.503 17.327 -0.789 1899 10 16.207 3.399 0 0 16.207 3.399 13.804 2.346 1899 11 7.242 1.078 0 0 7.242 1.078 6.286 1.472 1899 12 -1.048 -0.931 0 0 -1.048 -0.931 -2.356 -0.889 1900 1 -1.081 1.853 0 0 -1.081 1.853 -2.312 1.972 1900 2 -3.761 -2.395 0 0 -3.761 -2.395 -5.355 -2.639 1900 3 0.609 -3.489 0 0 0.609 -3.489 -1.096 -3.844 1900 4 10.778 0.002 0 0 10.778 0.002 9.445 0.020 1900 5 18.656 1.851 0 0 18.656 1.851 16.571 1.117 1900 6 22.315 0.265 0 0 22.315 0.265 20.505 -0.194 1900 7 25.753 1.620 0 0 25.753 1.620 22.941 0.159 1900 8 26.165 2.988 0 0 26.165 2.988 24.184 2.358 1900 9 22.604 3.137 0 0 22.604 3.137 20.317 2.201 1900 10 15.986 3.178 0 0 15.986 3.178 15.410 3.952 1900 11 5.130 -1.034 0 0 5.130 -1.034 4.752 -0.061 1900 12 -0.878 -0.761 0 0 -0.878 -0.761 -1.538 -0.071 1901 1 -2.366 0.568 0 0 -2.366 0.568 -3.552 0.732 1901 2 -6.539 -5.174 0 0 -6.539 -5.174 -8.280 -5.564 1901 3 4.665 0.567 0 0 4.665 0.567 2.882 0.135 1901 4 9.778 -0.998 0 0 9.778 -0.998 8.120 -1.305 1901 5 16.057 -0.748 0 0 16.057 -0.748 14.128 -1.327 1901 6 21.963 -0.087 0 0 21.963 -0.087 21.475 0.776 1901 7 25.986 1.853 0 0 25.986 1.853 25.159 2.377 1901 8 22.975 -0.202 0 0 22.975 -0.202 22.204 0.378 1901 9 18.611 -0.856 0 0 18.611 -0.856 18.131 0.015 1901 10 12.473 -0.335 0 0 12.473 -0.335 11.839 0.381 1901 11 3.370 -2.794 0 0 3.370 -2.794 2.811 -2.002 1901 12 -2.832 -2.715 0 0 -2.832 -2.715 -3.986 -2.519 1902 1 -2.222 0.712 0 0 -2.222 0.712 -4.357 -0.072 1902 2 -5.714 -4.349 0 0 -5.714 -4.349 -6.936 -4.220 1902 3 6.185 2.087 0 0 6.185 2.087 4.653 1.905 1902 4 9.259 -1.516 0 0 9.259 -1.516 8.540 -0.885 1902 5 17.527 0.722 0 0 17.527 0.722 15.836 0.381 1902 6 19.981 -2.068 0 0 19.981 -2.068 19.013 -1.686 1902 7 23.943 -0.190 0 0 23.943 -0.190 22.997 0.215 1902 8 20.609 -2.568 0 0 20.609 -2.568 19.623 -2.204 1902 9 17.704 -1.763 0 0 17.704 -1.763 17.184 -0.933 1902 10 12.885 0.077 0 0 12.885 0.077 11.915 0.458 1902 11 9.537 3.373 0 0 9.537 3.373 8.790 3.977 1902 12 -1.704 -1.587 0 0 -1.704 -1.587 -3.114 -1.647 1903 1 -3.100 -0.167 0 0 -3.100 -0.167 -4.862 -0.578 1903 2 -1.329 0.036 0 0 -1.329 0.036 -3.180 -0.464 1903 3 NaN NaN NaN NaN NaN NaN 6.833 4.086 1903 4 NaN NaN NaN NaN NaN NaN 9.428 0.004 1903 5 17.401 0.597 0 0 17.401 0.597 16.868 1.414 1903 6 17.889 -4.161 0 0 17.889 -4.161 17.588 -3.111 1903 7 22.563 -1.570 0 0 22.563 -1.570 22.246 -0.536 1903 8 21.703 -1.474 0 0 21.703 -1.474 20.496 -1.330 1903 9 18.492 -0.975 0 0 18.492 -0.975 18.346 0.229 1903 10 11.760 -1.048 0 0 11.760 -1.048 11.657 0.199 1903 11 2.528 -3.636 1 0 NaN NaN 2.654 -2.160 1903 12 -5.432 -5.315 0 0 -5.432 -5.315 -6.173 -4.706 1904 1 -7.721 -4.787 0 0 -7.721 -4.787 -8.661 -4.377 1904 2 -5.680 -4.315 0 0 -5.680 -4.315 -7.774 -5.058 1904 3 3.979 -0.119 0 0 3.979 -0.119 2.874 0.126 1904 4 6.583 -4.192 0 0 6.583 -4.192 6.203 -3.222 1904 5 15.506 -1.298 0 0 15.506 -1.298 15.094 -0.360 1904 6 NaN NaN NaN NaN NaN NaN 19.690 -1.009 1904 7 NaN NaN NaN NaN NaN NaN 21.426 -1.356 1904 8 NaN NaN NaN NaN NaN NaN 19.550 -2.276 1904 9 NaN NaN NaN NaN NaN NaN 18.162 0.045 1904 10 NaN NaN NaN NaN NaN NaN 10.487 -0.971 1904 11 NaN NaN NaN NaN NaN NaN 4.576 -0.237 1904 12 NaN NaN NaN NaN NaN NaN -3.812 -2.345 1905 1 NaN NaN NaN NaN NaN NaN -7.007 -2.723 1905 2 NaN NaN NaN NaN NaN NaN -8.264 -5.548 1905 3 NaN NaN NaN NaN NaN NaN 4.568 1.820 1905 4 NaN NaN NaN NaN NaN NaN 8.276 -1.149 1905 5 NaN NaN NaN NaN NaN NaN 14.899 -0.556