% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35894 % Primary Name: GALION WATER WORKS % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.63333 +/- 0.00833 % Longitude: -82.81667 +/- 0.00833 % Elevation (m): 356.60 +/- 0.05 % # of Months: 63 % % IDs: coop - 333021 % % Sources: US Cooperative Summary of the Day % US Cooperative Summary of the Month % % Site Hash: a5734ada9eca54b109754fb83174119e % Raw Data Hash: e6fb93381732c283cd0cc1a7c54f260a % Adj Data Hash: c8c5dfda86ccccd06ac79f5e6ab7571e % % 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 2005 7 NaN NaN NaN NaN NaN NaN 24.165 1.383 2005 8 NaN NaN NaN NaN NaN NaN 23.539 1.712 2005 9 NaN NaN NaN NaN NaN NaN 20.446 2.330 2005 10 NaN NaN NaN NaN NaN NaN 12.497 1.040 2005 11 NaN NaN NaN NaN NaN NaN 7.086 2.272 2005 12 NaN NaN NaN NaN NaN NaN -3.658 -2.190 2006 1 NaN NaN NaN NaN NaN NaN 2.382 6.666 2006 2 NaN NaN NaN NaN NaN NaN -1.632 1.084 2006 3 NaN NaN NaN NaN NaN NaN 3.390 0.642 2006 4 NaN NaN NaN NaN NaN NaN 12.137 2.712 2006 5 NaN NaN NaN NaN NaN NaN 15.382 -0.072 2006 6 NaN NaN NaN NaN NaN NaN 20.438 -0.261 2006 7 22.944 0.528 0 0 22.944 0.528 23.877 1.095 2006 8 22.389 0.928 0 0 22.389 0.928 23.006 1.179 2006 9 16.444 -1.306 0 0 16.444 -1.306 17.324 -0.792 2006 10 9.889 -1.203 0 0 9.889 -1.203 10.278 -1.180 2006 11 6.000 1.552 0 0 6.000 1.552 6.831 2.017 2006 12 2.778 4.611 0 0 2.778 4.611 2.803 4.270 2007 1 -0.333 4.317 0 0 -0.333 4.317 -0.935 3.349 2007 2 -8.667 -5.585 0 0 -8.667 -5.585 -8.207 -5.491 2007 3 5.111 2.729 0 0 5.111 2.729 5.551 2.804 2007 4 7.889 -1.170 0 0 7.889 -1.170 8.877 -0.548 2007 5 17.444 2.356 0 0 17.444 2.356 17.518 2.064 2007 6 21.222 0.889 0 0 21.222 0.889 21.999 1.300 2007 7 21.056 -1.361 0 0 21.056 -1.361 21.844 -0.938 2007 8 23.111 1.651 0 0 23.111 1.651 23.482 1.655 2007 9 19.444 1.694 0 0 19.444 1.694 20.060 1.944 2007 10 15.333 4.242 0 0 15.333 4.242 15.630 4.172 2007 11 4.833 0.386 0 0 4.833 0.386 5.513 0.700 2007 12 -0.611 1.222 0 0 -0.611 1.222 -0.700 0.767 2008 1 -2.889 1.761 0 0 -2.889 1.761 -2.788 1.496 2008 2 -3.889 -0.807 0 0 -3.889 -0.807 -3.788 -1.072 2008 3 0.833 -1.548 0 0 0.833 -1.548 1.687 -1.060 2008 4 11.056 1.997 0 0 11.056 1.997 11.377 1.952 2008 5 12.944 -2.144 0 0 12.944 -2.144 13.725 -1.730 2008 6 21.556 1.222 0 0 21.556 1.222 22.001 1.302 2008 7 22.056 -0.361 0 0 22.056 -0.361 22.846 0.064 2008 8 21.111 -0.349 0 0 21.111 -0.349 21.655 -0.172 2008 9 19.389 1.638 0 0 19.389 1.638 19.985 1.869 2008 10 10.278 -0.814 0 0 10.278 -0.814 11.014 -0.443 2008 11 3.611 -0.837 0 0 3.611 -0.837 4.626 -0.187 2008 12 -1.889 -0.056 0 0 -1.889 -0.056 -1.941 -0.473 2009 1 -8.333 -3.683 0 0 -8.333 -3.683 -8.283 -3.998 2009 2 -2.222 0.860 0 0 -2.222 0.860 -1.814 0.901 2009 3 4.056 1.674 0 0 4.056 1.674 4.788 2.040 2009 4 9.278 0.219 0 0 9.278 0.219 10.380 0.955 2009 5 15.667 0.578 0 0 15.667 0.578 15.857 0.402 2009 6 20.444 0.111 0 0 20.444 0.111 20.843 0.143 2009 7 19.833 -2.583 0 0 19.833 -2.583 20.613 -2.169 2009 8 21.556 0.095 0 0 21.556 0.095 21.855 0.029 2009 9 17.611 -0.139 0 0 17.611 -0.139 18.669 0.553 2009 10 9.222 -1.870 0 0 9.222 -1.870 9.963 -1.495 2009 11 7.000 2.552 0 0 7.000 2.552 7.972 3.158 2009 12 -0.611 1.222 0 0 -0.611 1.222 -1.476 -0.008 2010 1 -4.389 0.261 0 0 -4.389 0.261 -5.081 -0.797 2010 2 -4.111 -1.029 0 0 -4.111 -1.029 -4.257 -1.541 2010 3 3.944 1.563 0 0 3.944 1.563 5.008 2.260 2010 4 12.111 3.052 0 0 12.111 3.052 13.044 3.619 2010 5 17.278 2.189 0 0 17.278 2.189 17.331 1.877 2010 6 22.889 2.556 0 0 22.889 2.556 22.833 2.134 2010 7 24.167 1.751 0 0 24.167 1.751 24.530 1.748 2010 8 23.944 2.484 0 0 23.944 2.484 23.698 1.872 2010 9 18.667 0.916 0 0 18.667 0.916 19.325 1.209 2010 10 12.167 1.075 0 0 12.167 1.075 12.716 1.259 2010 11 4.944 0.497 0 0 4.944 0.497 5.682 0.869 2010 12 -4.111 -2.278 0 0 -4.111 -2.278 -4.562 -3.094 2011 1 -5.222 -0.572 0 0 -5.222 -0.572 -6.200 -1.916 2011 2 -2.611 0.471 0 0 -2.611 0.471 -2.986 -0.270 2011 3 3.056 0.674 0 0 3.056 0.674 3.204 0.456 2011 4 NaN NaN NaN NaN NaN NaN 10.366 0.941 2011 5 15.944 0.856 0 0 15.944 0.856 16.267 0.812 2011 6 NaN NaN NaN NaN NaN NaN 22.040 1.341 2011 7 26.278 3.862 0 0 26.278 3.862 25.794 3.012 2011 8 22.167 0.706 0 0 22.167 0.706 22.420 0.594 2011 9 18.222 0.472 0 0 18.222 0.472 18.284 0.167 2011 10 11.000 -0.092 0 0 11.000 -0.092 11.833 0.375 2011 11 8.667 4.219 0 0 8.667 4.219 8.595 3.781 2011 12 NaN NaN NaN NaN NaN NaN 1.949 3.416 2012 1 NaN NaN NaN NaN NaN NaN -1.361 2.924 2012 2 NaN NaN NaN NaN NaN NaN 0.336 3.052 2012 3 NaN NaN NaN NaN NaN NaN 10.714 7.967 2012 4 NaN NaN NaN NaN NaN NaN 10.010 0.586 2012 5 NaN NaN NaN NaN NaN NaN 19.001 3.547 2012 6 NaN NaN NaN NaN NaN NaN 22.206 1.507 2012 7 NaN NaN NaN NaN NaN NaN 25.682 2.900 2012 8 NaN NaN NaN NaN NaN NaN 21.978 0.152 2012 9 NaN NaN NaN NaN NaN NaN 17.861 -0.255 2012 10 NaN NaN NaN NaN NaN NaN 11.336 -0.121 2012 11 NaN NaN NaN NaN NaN NaN 4.674 -0.140