% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36858 % Primary Name: BISSELLS % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.40000 +/- 0.00005 % Longitude: -81.36670 +/- 0.00005 % Elevation (m): 340.16 +/- 0.15 % # of Months: 61 % % Alternate Names: Missing Station ID - 330745 % % IDs: coop - 330745 % ghcnd - USC00330745 % ncdc - 12003972 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b0438fe89f49593fdadabfc3b61066f3 % Raw Data Hash: 084912816aed699b69ddc2cf65fba7c1 % Adj Data Hash: 17c155b43f15f5ea96596805e4626be9 % % 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 -0.957 1.412 1892 3 NaN NaN NaN NaN NaN NaN -0.028 -2.979 1892 4 NaN NaN NaN NaN NaN NaN 8.297 -1.012 1892 5 NaN NaN NaN NaN NaN NaN 13.824 -1.272 1892 6 NaN NaN NaN NaN NaN NaN 21.847 1.826 1892 7 NaN NaN NaN NaN NaN NaN 21.665 -0.495 1892 8 NaN NaN NaN NaN NaN NaN 21.244 -0.187 1892 9 NaN NaN NaN NaN NaN NaN 17.578 -0.201 1892 10 NaN NaN NaN NaN NaN NaN 10.436 -0.785 1892 11 NaN NaN NaN NaN NaN NaN 3.400 -1.741 1892 12 NaN NaN NaN NaN NaN NaN -3.049 -2.169 1893 1 NaN NaN NaN NaN NaN NaN -8.984 -5.380 1893 2 -3.135 -0.589 0 0 -3.135 -0.589 -3.504 -1.135 1893 3 1.487 -1.286 0 0 1.487 -1.286 2.275 -0.676 1893 4 8.278 -0.854 0 0 8.278 -0.854 9.063 -0.246 1893 5 13.047 -1.872 0 0 13.047 -1.872 13.258 -1.838 1893 6 21.019 1.175 0 0 21.019 1.175 20.804 0.782 1893 7 22.240 0.258 0 0 22.240 0.258 21.988 -0.172 1893 8 20.896 -0.357 0 0 20.896 -0.357 20.342 -1.088 1893 9 16.833 -0.768 0 0 16.833 -0.768 17.261 -0.518 1893 10 12.043 1.000 0 0 12.043 1.000 11.382 0.161 1893 11 3.278 -1.685 0 0 3.278 -1.685 3.809 -1.332 1893 12 -0.502 0.555 0 0 -0.502 0.555 -0.897 -0.017 1894 1 -0.824 2.957 0 0 -0.824 2.957 -0.683 2.921 1894 2 -3.710 -1.164 0 0 -3.710 -1.164 -3.645 -1.276 1894 3 5.789 3.015 0 0 5.789 3.015 6.343 3.392 1894 4 9.204 0.072 0 0 9.204 0.072 9.280 -0.029 1894 5 14.821 -0.098 0 0 14.821 -0.098 14.808 -0.288 1894 6 19.926 0.082 0 0 19.926 0.082 20.539 0.518 1894 7 21.864 -0.119 0 0 21.864 -0.119 22.457 0.297 1894 8 20.896 -0.357 0 0 20.896 -0.357 20.845 -0.586 1894 9 19.204 1.602 0 0 19.204 1.602 19.525 1.746 1894 10 11.505 0.462 0 0 11.505 0.462 11.445 0.224 1894 11 1.593 -3.370 0 0 1.593 -3.370 2.806 -2.334 1894 12 -0.407 0.650 0 0 -0.407 0.650 -0.114 0.765 1895 1 -6.667 -2.885 0 0 -6.667 -2.885 -6.306 -2.703 1895 2 -8.552 -6.005 0 0 -8.552 -6.005 -8.294 -5.925 1895 3 -1.201 -3.974 0 0 -1.201 -3.974 0.256 -2.695 1895 4 9.259 0.128 0 0 9.259 0.128 9.995 0.686 1895 5 15.609 0.691 0 0 15.609 0.691 15.402 0.306 1895 6 21.722 1.878 0 0 21.722 1.878 21.535 1.514 1895 7 20.613 -1.369 0 0 20.613 -1.369 20.303 -1.856 1895 8 20.896 -0.357 0 0 20.896 -0.357 21.559 0.128 1895 9 19.215 1.613 0 0 19.215 1.613 19.478 1.699 1895 10 7.384 -3.660 0 0 7.384 -3.660 7.410 -3.810 1895 11 4.325 -0.638 0 0 4.325 -0.638 5.058 -0.083 1895 12 -0.389 0.668 0 0 -0.389 0.668 -0.124 0.755 1896 1 -3.408 0.373 0 0 -3.408 0.373 -3.185 0.419 1896 2 -3.184 -0.638 0 0 -3.184 -0.638 -2.741 -0.372 1896 3 -2.239 -5.012 0 0 -2.239 -5.012 -1.118 -4.069 1896 4 11.522 2.390 0 0 11.522 2.390 12.454 3.145 1896 5 18.550 3.632 0 0 18.550 3.632 18.836 3.740 1896 6 20.507 0.663 0 0 20.507 0.663 19.887 -0.134 1896 7 NaN NaN NaN NaN NaN NaN 21.869 -0.291 1896 8 NaN NaN NaN NaN NaN NaN 20.928 -0.502 1896 9 NaN NaN NaN NaN NaN NaN 16.672 -1.107 1896 10 8.673 -2.371 0 0 8.673 -2.371 8.401 -2.820 1896 11 7.207 2.244 0 0 7.207 2.244 7.288 2.148 1896 12 -0.816 0.241 0 0 -0.816 0.241 -1.126 -0.246 1897 1 -4.965 -1.183 0 0 -4.965 -1.183 -5.415 -1.811 1897 2 -1.994 0.552 1 0 NaN NaN -1.785 0.584 1897 3 3.466 0.692 0 0 3.466 0.692 4.470 1.519 1897 4 8.352 -0.780 0 0 8.352 -0.780 8.899 -0.410 1897 5 12.205 -2.714 0 0 12.205 -2.714 12.684 -2.412 1897 6 18.448 -1.396 1 0 NaN NaN 18.407 -1.614 1897 7 23.461 1.479 0 0 23.461 1.479 23.221 1.061 1897 8 19.648 -1.605 0 0 19.648 -1.605 19.480 -1.950 1897 9 18.482 0.880 0 0 18.482 0.880 18.259 0.480 1897 10 13.893 2.850 0 0 13.893 2.850 13.112 1.891 1897 11 4.725 -0.238 0 0 4.725 -0.238 5.349 0.209 1897 12 -0.923 0.135 0 0 -0.923 0.135 -0.531 0.349 1898 1 -0.816 2.966 0 0 -0.816 2.966 -1.304 2.300 1898 2 -3.088 -0.541 0 0 -3.088 -0.541 -2.932 -0.563 1898 3 5.998 3.225 0 0 5.998 3.225 6.593 3.642 1898 4 8.136 -0.996 0 0 8.136 -0.996 7.624 -1.685 1898 5 15.456 0.538 0 0 15.456 0.538 15.010 -0.086 1898 6 NaN NaN NaN NaN NaN NaN 21.106 1.085 1898 7 NaN NaN NaN NaN NaN NaN 23.476 1.316 1898 8 NaN NaN NaN NaN NaN NaN 22.068 0.638 1898 9 NaN NaN NaN NaN NaN NaN 19.351 1.572 1898 10 NaN NaN NaN NaN NaN NaN 11.518 0.298 1898 11 NaN NaN NaN NaN NaN NaN 4.019 -1.121 1898 12 NaN NaN NaN NaN NaN NaN -2.561 -1.682 1899 1 NaN NaN NaN NaN NaN NaN -3.869 -0.265 1899 2 NaN NaN NaN NaN NaN NaN -6.880 -4.511 1899 3 NaN NaN NaN NaN NaN NaN 2.167 -0.784 1899 4 NaN NaN NaN NaN NaN NaN 10.977 1.669 1899 5 NaN NaN NaN NaN NaN NaN 16.090 0.994