% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36426 % Primary Name: BERLIN LAKE % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.07098 +/- 0.04598 % Longitude: -81.01667 +/- 0.00833 % Elevation (m): 317.00 +/- 0.05 % # of Months: 50 % % Alternate Names: BERLIN DAM % % IDs: coop - 330639 % ghcnd - USC00330639 % ncdc - 20015528 % nws - BERO1 % nws - DRFO1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2c3bcedd77fa89fcf896e1279b4e8f23 % Raw Data Hash: 7060727eb07dd83eeaa3df828c7c05b7 % Adj Data Hash: 1e0a5431e92c80ad38a2c43306b98c66 % % 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 2006 9 NaN NaN NaN NaN NaN NaN 17.167 -0.613 2006 10 NaN NaN NaN NaN NaN NaN 10.157 -1.063 2006 11 NaN NaN NaN NaN NaN NaN 7.517 2.377 2006 12 NaN NaN NaN NaN NaN NaN 3.288 4.168 2007 1 NaN NaN NaN NaN NaN NaN -0.446 3.158 2007 2 NaN NaN NaN NaN NaN NaN -7.371 -5.002 2007 3 NaN NaN NaN NaN NaN NaN 5.350 2.399 2007 4 NaN NaN NaN NaN NaN NaN 8.558 -0.751 2007 5 NaN NaN NaN NaN NaN NaN 16.914 1.818 2007 6 NaN NaN NaN NaN NaN NaN 21.087 1.066 2007 7 NaN NaN NaN NaN NaN NaN 21.446 -0.714 2007 8 NaN NaN NaN NaN NaN NaN 23.043 1.612 2007 9 15.750 -0.701 1 0 NaN NaN 19.669 1.890 2007 10 14.150 4.257 0 0 14.150 4.257 15.394 4.173 2007 11 4.144 0.332 0 0 4.144 0.332 5.803 0.662 2007 12 -2.283 -0.076 1 0 NaN NaN 0.187 1.067 2008 1 -1.519 3.413 0 0 -1.519 3.413 -1.789 1.815 2008 2 -7.386 -3.689 1 0 NaN NaN -3.056 -0.687 2008 3 -0.422 -2.045 0 0 -0.422 -2.045 1.834 -1.117 2008 4 10.652 2.671 0 0 10.652 2.671 11.856 2.547 2008 5 12.405 -1.362 0 0 12.405 -1.362 13.249 -1.847 2008 6 20.296 1.603 0 0 20.296 1.603 21.501 1.480 2008 7 22.432 1.601 1 0 NaN NaN 22.627 0.467 2008 8 20.287 0.184 0 0 20.287 0.184 20.996 -0.435 2008 9 17.895 1.444 0 0 17.895 1.444 19.298 1.519 2008 10 9.287 -0.605 0 0 9.287 -0.605 10.580 -0.641 2008 11 NaN NaN NaN NaN NaN NaN 4.946 -0.194 2008 12 -1.346 0.861 0 0 -1.346 0.861 -0.599 0.280 2009 1 -7.264 -2.332 0 0 -7.264 -2.332 -7.163 -3.559 2009 2 -3.840 -0.143 0 0 -3.840 -0.143 -1.507 0.862 2009 3 2.578 0.955 0 0 2.578 0.955 4.726 1.775 2009 4 9.038 1.057 0 0 9.038 1.057 10.550 1.241 2009 5 14.740 0.973 0 0 14.740 0.973 15.698 0.602 2009 6 20.640 1.947 1 0 NaN NaN 19.667 -0.354 2009 7 19.196 -1.635 0 0 19.196 -1.635 20.358 -1.802 2009 8 21.607 1.505 0 0 21.607 1.505 21.984 0.554 2009 9 17.245 0.794 0 0 17.245 0.794 18.388 0.609 2009 10 9.336 -0.557 1 0 NaN NaN 10.103 -1.118 2009 11 5.748 1.936 0 0 5.748 1.936 8.601 3.460 2009 12 -2.867 -0.659 1 0 NaN NaN -1.411 -0.532 2010 1 -5.280 -0.348 1 0 NaN NaN -4.210 -0.606 2010 2 -5.360 -1.663 0 0 -5.360 -1.663 -4.040 -1.671 2010 3 3.990 2.367 0 0 3.990 2.367 5.469 2.517 2010 4 11.297 3.316 0 0 11.297 3.316 12.551 3.242 2010 5 16.321 2.554 0 0 16.321 2.554 16.839 1.743 2010 6 21.421 2.728 0 0 21.421 2.728 21.830 1.808 2010 7 23.762 2.930 0 0 23.762 2.930 23.953 1.793 2010 8 23.668 3.566 1 0 NaN NaN 23.381 1.950 2010 9 16.330 -0.121 1 0 NaN NaN 18.884 1.104 2010 10 10.040 0.147 0 0 10.040 0.147 11.918 0.697 2010 11 NaN NaN NaN NaN NaN NaN 6.044 0.903 2010 12 -5.896 -3.689 0 0 -5.896 -3.689 -4.052 -3.172 2011 1 -6.367 -1.435 0 0 -6.367 -1.435 -5.478 -1.874 2011 2 -4.734 -1.037 0 0 -4.734 -1.037 -1.959 0.410 2011 3 1.050 -0.573 0 0 1.050 -0.573 3.046 0.095 2011 4 7.759 -0.222 1 0 NaN NaN 10.618 1.309 2011 5 15.890 2.123 0 0 15.890 2.123 16.409 1.313 2011 6 20.250 1.557 0 0 20.250 1.557 21.081 1.060 2011 7 23.069 2.237 0 0 23.069 2.237 24.737 2.577 2011 8 20.332 0.230 0 0 20.332 0.230 22.155 0.724 2011 9 16.879 0.428 0 0 16.879 0.428 18.931 1.152 2011 10 9.753 -0.139 0 0 9.753 -0.139 11.448 0.228 2011 11 6.446 2.634 0 0 6.446 2.634 8.894 3.754 2011 12 0.473 2.681 1 0 NaN NaN 2.254 3.133 2012 1 NaN NaN NaN NaN NaN NaN -0.843 2.761 2012 2 NaN NaN NaN NaN NaN NaN 0.942 3.311 2012 3 NaN NaN NaN NaN NaN NaN 10.277 7.326 2012 4 NaN NaN NaN NaN NaN NaN 9.504 0.195 2012 5 NaN NaN NaN NaN NaN NaN 18.652 3.556 2012 6 NaN NaN NaN NaN NaN NaN 21.140 1.119 2012 7 NaN NaN NaN NaN NaN NaN 24.757 2.598 2012 8 NaN NaN NaN NaN NaN NaN 21.846 0.416 2012 9 NaN NaN NaN NaN NaN NaN 17.736 -0.044 2012 10 NaN NaN NaN NaN NaN NaN 11.686 0.465 2012 11 NaN NaN NaN NaN NaN NaN 4.731 -0.410 2012 12 NaN NaN NaN NaN NaN NaN 2.824 3.704