% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34618 % Primary Name: NEW HOLLAND % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.56670 +/- 0.00005 % Longitude: -83.25000 +/- 0.00005 % Elevation (m): 264.57 +/- 0.15 % # of Months: 99 % % Alternate Names: Missing Station ID - 335830 % % IDs: coop - 335830 % ghcnd - USC00335830 % ncdc - 12004025 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 122e43d302aa505ba89e0b21905ee3c9 % Raw Data Hash: fcd0f8dfe2f2cd643a4f5cf1d235738f % Adj Data Hash: 1612bf62faf09e8d252d548406d2b710 % % 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 1 NaN NaN NaN NaN NaN NaN -4.647 -2.787 1892 2 NaN NaN NaN NaN NaN NaN 1.425 1.676 1892 3 NaN NaN NaN NaN NaN NaN 2.397 -2.815 1892 4 NaN NaN NaN NaN NaN NaN 10.522 -0.893 1892 5 NaN NaN NaN NaN NaN NaN 15.939 -1.018 1892 6 NaN NaN NaN NaN NaN NaN 22.850 1.314 1892 7 NaN NaN NaN NaN NaN NaN 22.686 -0.836 1892 8 NaN NaN NaN NaN NaN NaN 21.999 -0.759 1892 9 NaN NaN NaN NaN NaN NaN 18.490 -0.733 1892 10 NaN NaN NaN NaN NaN NaN 11.292 -1.177 1892 11 NaN NaN NaN NaN NaN NaN 3.944 -2.243 1892 12 NaN NaN NaN NaN NaN NaN -1.689 -2.346 1893 1 -7.993 -6.184 0 0 -7.993 -6.184 -8.095 -6.234 1893 2 -0.933 -0.733 0 0 -0.933 -0.733 -0.637 -0.386 1893 3 3.566 -1.697 0 0 3.566 -1.697 4.396 -0.817 1893 4 11.015 -0.451 0 0 11.015 -0.451 11.260 -0.154 1893 5 14.835 -2.173 0 0 14.835 -2.173 15.023 -1.934 1893 6 21.685 0.097 0 0 21.685 0.097 21.640 0.103 1893 7 24.283 0.710 0 0 24.283 0.710 23.942 0.420 1893 8 21.505 -1.304 0 0 21.505 -1.304 21.670 -1.088 1893 9 19.278 0.003 0 0 19.278 0.003 19.287 0.064 1893 10 11.918 -0.603 0 0 11.918 -0.603 11.897 -0.572 1893 11 4.074 -2.164 0 0 4.074 -2.164 4.834 -1.353 1893 12 1.010 0.301 0 0 1.010 0.301 1.137 0.479 1894 1 1.265 3.074 0 0 1.265 3.074 1.068 2.928 1894 2 NaN NaN NaN NaN NaN NaN -1.261 -1.010 1894 3 7.688 2.424 0 0 7.688 2.424 7.864 2.651 1894 4 10.165 -1.301 0 0 10.165 -1.301 11.178 -0.237 1894 5 15.613 -1.395 0 0 15.613 -1.395 16.069 -0.888 1894 6 22.073 0.486 0 0 22.073 0.486 22.366 0.829 1894 7 23.800 0.227 0 0 23.800 0.227 23.619 0.098 1894 8 22.129 -0.680 0 0 22.129 -0.680 22.150 -0.608 1894 9 20.148 0.874 0 0 20.148 0.874 20.609 1.385 1894 10 12.097 -0.423 0 0 12.097 -0.423 12.334 -0.135 1894 11 3.204 -3.035 0 0 3.204 -3.035 4.075 -2.112 1894 12 1.219 0.511 0 0 1.219 0.511 1.318 0.660 1895 1 -4.724 -2.915 0 0 -4.724 -2.915 -4.554 -2.693 1895 2 -6.429 -6.229 0 0 -6.429 -6.229 -7.016 -6.765 1895 3 3.082 -2.181 0 0 3.082 -2.181 3.469 -1.743 1895 4 11.797 0.331 0 0 11.797 0.331 11.951 0.536 1895 5 16.792 -0.216 0 0 16.792 -0.216 16.213 -0.744 1895 6 22.833 1.246 0 0 22.833 1.246 22.897 1.360 1895 7 NaN NaN NaN NaN NaN NaN 22.360 -1.162 1895 8 23.638 0.829 0 0 23.638 0.829 23.300 0.542 1895 9 21.148 1.874 0 0 21.148 1.874 21.718 2.495 1895 10 8.495 -4.026 0 0 8.495 -4.026 8.642 -3.827 1895 11 5.007 -1.232 0 0 5.007 -1.232 5.843 -0.344 1895 12 1.932 1.224 0 0 1.932 1.224 1.705 1.048 1896 1 -0.873 0.937 0 0 -0.873 0.937 -1.269 0.591 1896 2 0.038 0.238 1 0 NaN NaN -0.542 -0.291 1896 3 0.985 -4.278 0 0 0.985 -4.278 1.320 -3.892 1896 4 14.868 3.403 0 0 14.868 3.403 15.072 3.658 1896 5 20.834 3.826 0 0 20.834 3.826 20.407 3.450 1896 6 21.250 -0.338 0 0 21.250 -0.338 21.339 -0.198 1896 7 23.760 0.187 0 0 23.760 0.187 23.221 -0.301 1896 8 22.945 0.136 0 0 22.945 0.136 22.408 -0.350 1896 9 17.872 -1.403 0 0 17.872 -1.403 17.956 -1.267 1896 10 9.987 -2.533 0 0 9.987 -2.533 9.968 -2.501 1896 11 7.285 1.047 0 0 7.285 1.047 7.975 1.788 1896 12 1.442 0.733 0 0 1.442 0.733 1.271 0.614 1897 1 -3.345 -1.536 0 0 -3.345 -1.536 -3.604 -1.743 1897 2 1.321 1.521 0 0 1.321 1.521 0.942 1.193 1897 3 6.526 1.262 0 0 6.526 1.262 6.796 1.584 1897 4 10.283 -1.182 0 0 10.283 -1.182 10.640 -0.775 1897 5 14.210 -2.799 0 0 14.210 -2.799 14.013 -2.944 1897 6 21.607 0.019 0 0 21.607 0.019 20.840 -0.697 1897 7 25.168 1.595 0 0 25.168 1.595 24.262 0.740 1897 8 21.884 -0.926 0 0 21.884 -0.926 21.256 -1.502 1897 9 19.910 0.636 0 0 19.910 0.636 20.045 0.822 1897 10 14.868 2.348 0 0 14.868 2.348 14.847 2.378 1897 11 5.852 -0.387 0 0 5.852 -0.387 6.488 0.301 1897 12 1.126 0.417 0 0 1.126 0.417 1.097 0.439 1898 1 0.476 2.285 0 0 0.476 2.285 0.357 2.217 1898 2 0.137 0.337 0 0 0.137 0.337 -0.794 -0.543 1898 3 7.665 2.401 0 0 7.665 2.401 8.162 2.949 1898 4 9.238 -2.227 0 0 9.238 -2.227 9.260 -2.155 1898 5 17.379 0.371 0 0 17.379 0.371 16.857 -0.100 1898 6 23.220 1.632 0 0 23.220 1.632 22.597 1.060 1898 7 25.544 1.971 0 0 25.544 1.971 24.586 1.065 1898 8 23.763 0.954 0 0 23.763 0.954 23.215 0.457 1898 9 20.593 1.318 0 0 20.593 1.318 20.984 1.761 1898 10 12.724 0.204 0 0 12.724 0.204 12.640 0.171 1898 11 4.167 -2.072 0 0 4.167 -2.072 4.472 -1.715 1898 12 -1.272 -1.981 0 0 -1.272 -1.981 -1.239 -1.896 1899 1 -1.846 -0.037 0 0 -1.846 -0.037 -1.945 -0.085 1899 2 -6.346 -6.146 0 0 -6.346 -6.146 -5.943 -5.692 1899 3 3.674 -1.590 0 0 3.674 -1.590 4.333 -0.879 1899 4 12.556 1.090 0 0 12.556 1.090 12.616 1.201 1899 5 18.548 1.540 0 0 18.548 1.540 18.095 1.138 1899 6 22.759 1.171 0 0 22.759 1.171 22.612 1.076 1899 7 23.996 0.423 0 0 23.996 0.423 23.564 0.042 1899 8 23.943 1.133 0 0 23.943 1.133 23.506 0.748 1899 9 18.870 -0.404 0 0 18.870 -0.404 18.946 -0.277 1899 10 14.552 2.032 0 0 14.552 2.032 14.300 1.831 1899 11 7.056 0.817 0 0 7.056 0.817 7.484 1.297 1899 12 -0.498 -1.207 0 0 -0.498 -1.207 -0.539 -1.196 1900 1 0.090 1.899 0 0 0.090 1.899 -0.384 1.477 1900 2 -2.120 -1.920 0 0 -2.120 -1.920 -2.928 -2.677 1900 3 2.097 -3.167 0 0 2.097 -3.167 2.452 -2.761 1900 4 11.111 -0.355 0 0 11.111 -0.355 11.206 -0.209 1900 5 18.190 1.182 0 0 18.190 1.182 17.496 0.539 1900 6 22.204 0.616 0 0 22.204 0.616 21.862 0.325 1900 7 24.104 0.531 0 0 24.104 0.531 23.722 0.200 1900 8 25.627 2.818 0 0 25.627 2.818 24.932 2.174 1900 9 22.185 2.911 0 0 22.185 2.911 21.984 2.761 1900 10 16.183 3.663 0 0 16.183 3.663 16.046 3.577 1900 11 6.034 -0.204 0 0 6.034 -0.204 6.185 -0.002 1900 12 -0.172 -0.881 0 0 -0.172 -0.881 0.259 -0.398 1901 1 -0.140 1.669 0 0 -0.140 1.669 -1.211 0.649 1901 2 -3.961 -3.761 0 0 -3.961 -3.761 -4.984 -4.733 1901 3 6.423 1.159 0 0 6.423 1.159 5.335 0.122 1901 4 8.548 -2.917 0 0 8.548 -2.917 8.753 -2.662 1901 5 16.576 -0.432 1 0 NaN NaN 15.550 -1.407 1901 6 NaN NaN NaN NaN NaN NaN 22.300 0.764 1901 7 NaN NaN NaN NaN NaN NaN 25.740 2.219 1901 8 NaN NaN NaN NaN NaN NaN 22.941 0.183 1901 9 NaN NaN NaN NaN NaN NaN 18.786 -0.437 1901 10 NaN NaN NaN NaN NaN NaN 12.440 -0.029 1901 11 NaN NaN NaN NaN NaN NaN 3.675 -2.512 1901 12 NaN NaN NaN NaN NaN NaN -1.926 -2.583 1902 1 NaN NaN NaN NaN NaN NaN -2.660 -0.800 1902 2 NaN NaN NaN NaN NaN NaN -5.639 -5.388 1902 3 NaN NaN NaN NaN NaN NaN 5.996 0.783 1902 4 NaN NaN NaN NaN NaN NaN 9.998 -1.416 1902 5 NaN NaN NaN NaN NaN NaN 18.239 1.282