% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36241 % Primary Name: COLUMBIANA SEWAGE PLANT % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.88330 +/- 0.00005 % Longitude: -80.68330 +/- 0.00005 % Elevation (m): 338.90 +/- 0.05 % # of Months: 31 % % Alternate Names: COLUMBIANA % COLUMBIANA 2 SE % COLUMBIANA 3 NW % COLUMBIANA SEWAGE PLT % % IDs: coop - 331770 % ghcnd - USC00331770 % ncdc - 20015505 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2f8bc808700fc7948a05b1bbdc9760a8 % Raw Data Hash: 6bf4e9458c8af7f5face22f1c258cf90 % Adj Data Hash: 985d6585fd1ce159d76a6b20fa754fa3 % % 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 1912 10 NaN NaN NaN NaN NaN NaN 11.730 0.509 1912 11 NaN NaN NaN NaN NaN NaN 5.717 0.577 1912 12 NaN NaN NaN NaN NaN NaN 0.212 1.092 1913 1 NaN NaN NaN NaN NaN NaN 0.988 4.592 1913 2 NaN NaN NaN NaN NaN NaN -4.402 -2.034 1913 3 NaN NaN NaN NaN NaN NaN 4.026 1.074 1913 4 NaN NaN NaN NaN NaN NaN 9.590 0.282 1913 5 NaN NaN NaN NaN NaN NaN 14.410 -0.686 1913 6 NaN NaN NaN NaN NaN NaN 19.846 -0.176 1913 7 NaN NaN NaN NaN NaN NaN 22.057 -0.103 1913 8 NaN NaN NaN NaN NaN NaN 21.642 0.211 1913 9 NaN NaN NaN NaN NaN NaN 17.205 -0.574 1913 10 11.682 0.253 0 0 11.682 0.253 11.560 0.339 1913 11 5.663 0.314 0 0 5.663 0.314 6.282 1.142 1913 12 0.032 0.704 1 0 NaN NaN 0.211 1.091 1914 1 -0.535 2.861 0 0 -0.535 2.861 -1.271 2.333 1914 2 NaN NaN NaN NaN NaN NaN -7.234 -4.865 1914 3 1.566 -1.593 0 0 1.566 -1.593 1.293 -1.658 1914 4 8.664 -0.852 0 0 8.664 -0.852 8.722 -0.587 1914 5 15.871 0.567 0 0 15.871 0.567 15.554 0.458 1914 6 20.503 0.274 0 0 20.503 0.274 20.301 0.280 1914 7 22.027 -0.340 0 0 22.027 -0.340 21.909 -0.250 1914 8 22.421 0.782 0 0 22.421 0.782 21.880 0.449 1914 9 16.522 -1.465 0 0 16.522 -1.465 16.598 -1.181 1914 10 13.239 1.810 0 0 13.239 1.810 13.345 2.124 1914 11 4.215 -1.133 0 0 4.215 -1.133 4.998 -0.142 1914 12 -2.742 -2.070 0 0 -2.742 -2.070 -3.347 -2.467 1915 1 -2.910 0.486 0 0 -2.910 0.486 -4.444 -0.840 1915 2 1.432 3.593 0 0 1.432 3.593 -0.071 2.298 1915 3 -0.519 -3.678 0 0 -0.519 -3.678 -0.368 -3.319 1915 4 17.139 7.623 1 0 NaN NaN 11.809 2.501 1915 5 NaN NaN NaN NaN NaN NaN 12.934 -2.162 1915 6 18.403 -1.826 1 0 NaN NaN 18.278 -1.743 1915 7 20.718 -1.650 0 0 20.718 -1.650 20.908 -1.252 1915 8 19.518 -2.121 0 0 19.518 -2.121 19.258 -2.172 1915 9 18.942 0.955 0 0 18.942 0.955 19.040 1.261 1915 10 12.194 0.765 0 0 12.194 0.765 11.891 0.670 1915 11 NaN NaN NaN NaN NaN NaN 6.209 1.069 1915 12 -1.214 -0.543 0 0 -1.214 -0.543 -1.998 -1.118 1916 1 NaN NaN NaN NaN NaN NaN 0.465 4.069 1916 2 -3.628 -1.467 1 0 NaN NaN -5.145 -2.776 1916 3 -2.432 -5.591 0 0 -2.432 -5.591 -0.568 -3.519 1916 4 8.426 -1.090 0 0 8.426 -1.090 8.437 -0.872 1916 5 16.524 1.220 0 0 16.524 1.220 15.246 0.150 1916 6 17.725 -2.504 0 0 17.725 -2.504 17.066 -2.956 1916 7 24.156 1.789 0 0 24.156 1.789 23.628 1.468 1916 8 22.042 0.403 0 0 22.042 0.403 22.238 0.807 1916 9 NaN NaN NaN NaN NaN NaN 16.936 -0.843 1916 10 NaN NaN NaN NaN NaN NaN 10.784 -0.437 1916 11 NaN NaN NaN NaN NaN NaN 5.507 0.367 1916 12 NaN NaN NaN NaN NaN NaN -2.482 -1.602 1917 1 NaN NaN NaN NaN NaN NaN -3.869 -0.266 1917 2 NaN NaN NaN NaN NaN NaN -5.690 -3.321 1917 3 NaN NaN NaN NaN NaN NaN 3.232 0.281 1917 4 NaN NaN NaN NaN NaN NaN 8.424 -0.885 1917 5 NaN NaN NaN NaN NaN NaN 10.941 -4.155 1917 6 NaN NaN NaN NaN NaN NaN 18.687 -1.334 1917 7 NaN NaN NaN NaN NaN NaN 21.670 -0.490 1917 8 NaN NaN NaN NaN NaN NaN 20.873 -0.557