% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37549 % Primary Name: CONNEAUT BREAKWATER % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.98300 +/- 0.00050 % Longitude: -80.55000 +/- 0.00050 % Elevation (m): 189.00 +/- 0.05 % # of Months: 66 % % IDs: gsod - 998166-99999 % icao - CBLO1 % usaf - 998166 % % Sources: Global Summary of the Day % % Site Hash: 6a8d0bcf511d3f5593377235e46966f6 % Raw Data Hash: 2ab1437a0c2b7e5439d2e2d0985de60f % Adj Data Hash: d29ceea176f7e5de6c4f66138ad44fc9 % % 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 12 NaN NaN NaN NaN NaN NaN 2.960 4.341 2007 1 NaN NaN NaN NaN NaN NaN -1.540 3.097 2007 2 NaN NaN NaN NaN NaN NaN -8.126 -3.711 2007 3 NaN NaN NaN NaN NaN NaN 1.937 1.707 2007 4 NaN NaN NaN NaN NaN NaN 6.280 -0.427 2007 5 NaN NaN NaN NaN NaN NaN 14.050 1.452 2007 6 NaN NaN NaN NaN NaN NaN 19.271 1.503 2007 7 NaN NaN NaN NaN NaN NaN 19.728 -0.505 2007 8 NaN NaN NaN NaN NaN NaN 20.928 1.188 2007 9 NaN NaN NaN NaN NaN NaN 18.173 1.857 2007 10 NaN NaN NaN NaN NaN NaN 14.940 4.419 2007 11 NaN NaN NaN NaN NaN NaN 4.943 0.104 2007 12 0.565 1.002 0 0 0.565 1.002 -1.004 0.378 2008 1 -0.027 3.665 0 0 -0.027 3.665 -1.719 2.919 2008 2 NaN NaN NaN NaN NaN NaN -4.758 -0.343 2008 3 NaN NaN NaN NaN NaN NaN -0.775 -1.006 2008 4 NaN NaN NaN NaN NaN NaN 9.688 2.981 2008 5 NaN NaN NaN NaN NaN NaN 10.923 -1.674 2008 6 21.626 2.912 1 0 NaN NaN 19.083 1.315 2008 7 22.291 1.112 0 0 22.291 1.112 20.808 0.575 2008 8 21.043 0.358 0 0 21.043 0.358 19.209 -0.530 2008 9 18.653 1.392 0 0 18.653 1.392 17.606 1.290 2008 10 11.159 -0.308 0 0 11.159 -0.308 9.977 -0.545 2008 11 5.446 -0.338 0 0 5.446 -0.338 4.875 0.036 2008 12 -0.802 -0.366 0 0 -0.802 -0.366 -1.658 -0.277 2009 1 -5.961 -2.268 0 0 -5.961 -2.268 -7.895 -3.257 2009 2 -0.739 2.731 0 0 -0.739 2.731 -3.079 1.336 2009 3 1.556 0.379 0 0 1.556 0.379 1.778 1.547 2009 4 6.615 -1.037 0 0 6.615 -1.037 8.231 1.525 2009 5 14.065 0.522 0 0 14.065 0.522 12.907 0.310 2009 6 17.704 -1.009 0 0 17.704 -1.009 16.964 -0.804 2009 7 20.172 -1.006 0 0 20.172 -1.006 18.220 -2.013 2009 8 21.468 0.784 0 0 21.468 0.784 20.101 0.362 2009 9 18.056 0.794 0 0 18.056 0.794 16.999 0.683 2009 10 11.031 -0.436 0 0 11.031 -0.436 9.490 -1.032 2009 11 8.722 2.938 0 0 8.722 2.938 8.082 3.243 2009 12 0.172 0.609 0 0 0.172 0.609 -1.285 0.097 2010 1 -3.097 0.595 0 0 -3.097 0.595 -4.488 0.150 2010 2 -3.645 -0.175 0 0 -3.645 -0.175 -4.306 0.109 2010 3 1.792 0.616 0 0 1.792 0.616 3.633 3.402 2010 4 10.867 3.215 1 0 NaN NaN 10.483 3.777 2010 5 15.349 1.805 0 0 15.349 1.805 14.560 1.962 2010 6 20.287 1.574 0 0 20.287 1.574 19.008 1.240 2010 7 23.572 2.394 0 0 23.572 2.394 21.969 1.736 2010 8 23.270 2.585 0 0 23.270 2.585 21.716 1.977 2010 9 18.631 1.369 1 0 NaN NaN 16.976 0.660 2010 10 12.576 1.108 0 0 12.576 1.108 11.300 0.778 2010 11 6.213 0.428 0 0 6.213 0.428 6.070 1.231 2010 12 -2.168 -1.732 0 0 -2.168 -1.732 -3.424 -2.042 2011 1 -4.380 -0.688 0 0 -4.380 -0.688 -6.327 -1.689 2011 2 -2.468 1.001 0 0 -2.468 1.001 -4.624 -0.209 2011 3 0.384 -0.793 0 0 0.384 -0.793 -0.101 -0.331 2011 4 6.824 -0.828 0 0 6.824 -0.828 7.449 0.742 2011 5 12.874 -0.669 0 0 12.874 -0.669 13.622 1.024 2011 6 20.614 1.900 1 0 NaN NaN 18.330 0.562 2011 7 23.681 2.502 0 0 23.681 2.502 22.846 2.613 2011 8 22.128 1.444 0 0 22.128 1.444 20.806 1.066 2011 9 18.504 1.242 0 0 18.504 1.242 17.620 1.304 2011 10 11.896 0.429 0 0 11.896 0.429 11.199 0.677 2011 11 9.328 3.543 0 0 9.328 3.543 8.740 3.901 2011 12 3.165 3.601 0 0 3.165 3.601 2.061 3.443 2012 1 0.165 3.857 0 0 0.165 3.857 -1.192 3.445 2012 2 0.923 4.393 0 0 0.923 4.393 -0.304 4.111 2012 3 7.661 6.485 0 0 7.661 6.485 7.974 7.743 2012 4 7.860 0.208 0 0 7.860 0.208 7.205 0.498 2012 5 15.814 2.270 0 0 15.814 2.270 15.760 3.162 2012 6 20.002 1.288 0 0 20.002 1.288 19.138 1.369 2012 7 23.491 2.312 0 0 23.491 2.312 22.615 2.382 2012 8 21.668 0.984 0 0 21.668 0.984 20.289 0.550 2012 9 17.967 0.705 0 0 17.967 0.705 16.574 0.258 2012 10 12.303 0.835 0 0 12.303 0.835 11.194 0.672 2012 11 5.330 -0.455 0 0 5.330 -0.455 4.858 0.019 2012 12 3.754 4.191 0 0 3.754 4.191 2.274 3.656 2013 1 0.111 3.803 0 0 0.111 3.803 -1.853 2.784 2013 2 -2.562 0.908 0 0 -2.562 0.908 -4.260 0.155 2013 3 0.233 -0.943 0 0 0.233 -0.943 -0.082 -0.313 2013 4 7.567 -0.085 0 0 7.567 -0.085 6.932 0.225 2013 5 16.922 3.379 1 0 NaN NaN 14.454 1.856 2013 6 18.226 -0.488 0 0 18.226 -0.488 17.893 0.125 2013 7 20.375 -0.804 1 0 NaN NaN 21.015 0.782 2013 8 NaN NaN NaN NaN NaN NaN 19.637 -0.102 2013 9 17.780 0.518 1 0 NaN NaN 16.506 0.190 2013 10 12.660 1.192 1 0 NaN NaN 12.223 1.701