% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 14278 % Primary Name: BAUMHOLDER AAF % Record Type: TAVG % Country: Germany % Latitude: 49.65000 +/- 0.00500 % Longitude: 7.30000 +/- 0.00500 % Elevation (m): 453.00 +/- 0.05 % # of Months: 54 % % IDs: gsod - 106598-99999 % icao - ETEK % usaf - 106598 % % Sources: Global Summary of the Day % % Site Hash: 32ed4658d3232ac35887686b3f2433bc % Raw Data Hash: 11091c96e5a9de7ee28ed2f7d0b509a4 % Adj Data Hash: 7e78ecf75889514ae858dfd34d4e3b57 % % 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 4 NaN NaN NaN NaN NaN NaN 9.972 1.356 2005 5 NaN NaN NaN NaN NaN NaN 13.798 0.836 2005 6 NaN NaN NaN NaN NaN NaN 18.154 1.958 2005 7 NaN NaN NaN NaN NaN NaN 18.911 0.995 2005 8 NaN NaN NaN NaN NaN NaN 16.640 -0.764 2005 9 NaN NaN NaN NaN NaN NaN 16.363 1.860 2005 10 NaN NaN NaN NaN NaN NaN 12.456 2.950 2005 11 NaN NaN NaN NaN NaN NaN 4.600 0.013 2005 12 NaN NaN NaN NaN NaN NaN 1.008 -0.305 2006 1 NaN NaN NaN NaN NaN NaN -1.170 -1.412 2006 2 NaN NaN NaN NaN NaN NaN 0.868 -0.795 2006 3 NaN NaN NaN NaN NaN NaN 3.868 -1.212 2006 4 8.824 1.605 1 0 NaN NaN 8.910 0.295 2006 5 11.350 -0.214 1 0 NaN NaN 13.832 0.871 2006 6 16.507 1.708 0 0 16.507 1.708 17.783 1.587 2006 7 22.079 5.560 0 0 22.079 5.560 23.266 5.351 2006 8 15.833 -0.174 1 0 NaN NaN 15.738 -1.666 2006 9 NaN NaN NaN NaN NaN NaN 17.824 3.321 2006 10 11.488 3.379 0 0 11.488 3.379 13.030 3.525 2006 11 6.383 3.193 0 0 6.383 3.193 7.559 2.972 2006 12 3.082 3.166 0 0 3.082 3.166 4.246 2.933 2007 1 3.500 4.655 0 0 3.500 4.655 5.070 4.828 2007 2 4.022 3.755 0 0 4.022 3.755 5.584 3.921 2007 3 5.463 1.780 0 0 5.463 1.780 6.792 1.712 2007 4 13.678 6.460 1 0 NaN NaN 13.414 4.798 2007 5 13.232 1.667 0 0 13.232 1.667 15.058 2.096 2007 6 13.536 -1.263 1 0 NaN NaN 17.762 1.566 2007 7 15.488 -1.031 0 0 15.488 -1.031 17.418 -0.498 2007 8 15.744 -0.264 0 0 15.744 -0.264 17.269 -0.135 2007 9 11.854 -1.253 0 0 11.854 -1.253 13.174 -1.330 2007 10 7.713 -0.396 0 0 7.713 -0.396 9.485 -0.020 2007 11 3.013 -0.177 0 0 3.013 -0.177 4.027 -0.559 2007 12 1.081 1.165 0 0 1.081 1.165 1.570 0.258 2008 1 3.088 4.243 1 0 NaN NaN 4.113 3.871 2008 2 3.308 3.042 0 0 3.308 3.042 4.502 2.839 2008 3 3.010 -0.673 0 0 3.010 -0.673 5.397 0.317 2008 4 6.205 -1.014 0 0 6.205 -1.014 7.955 -0.661 2008 5 15.185 3.620 0 0 15.185 3.620 15.993 3.032 2008 6 16.316 1.517 0 0 16.316 1.517 17.484 1.287 2008 7 17.116 0.598 0 0 17.116 0.598 18.587 0.672 2008 8 16.163 0.156 0 0 16.163 0.156 17.796 0.392 2008 9 11.039 -2.068 0 0 11.039 -2.068 12.779 -1.724 2008 10 7.317 -0.792 1 0 NaN NaN 9.689 0.184 2008 11 4.026 0.836 0 0 4.026 0.836 5.293 0.706 2008 12 -0.496 -0.413 0 0 -0.496 -0.413 1.089 -0.224 2009 1 -2.122 -0.967 0 0 -2.122 -0.967 -1.578 -1.820 2009 2 0.121 -0.145 0 0 0.121 -0.145 1.655 -0.008 2009 3 3.682 -0.001 0 0 3.682 -0.001 5.420 0.339 2009 4 11.486 4.267 0 0 11.486 4.267 12.152 3.536 2009 5 12.504 0.939 0 0 12.504 0.939 14.975 2.013 2009 6 13.663 -1.137 1 0 NaN NaN 16.324 0.128 2009 7 15.262 -1.257 1 0 NaN NaN 18.681 0.765 2009 8 NaN NaN NaN NaN NaN NaN 19.693 2.289 2009 9 NaN NaN NaN NaN NaN NaN 15.678 1.175 2009 10 NaN NaN NaN NaN NaN NaN 9.529 0.024 2009 11 NaN NaN NaN NaN NaN NaN 8.029 3.443 2009 12 NaN NaN NaN NaN NaN NaN 1.770 0.457 2010 1 NaN NaN NaN NaN NaN NaN -1.846 -2.088 2010 2 NaN NaN NaN NaN NaN NaN 1.697 0.033 2010 3 NaN NaN NaN NaN NaN NaN 5.576 0.496 2010 4 NaN NaN NaN NaN NaN NaN 9.880 1.265 2010 5 NaN NaN NaN NaN NaN NaN 11.432 -1.530 2010 6 NaN NaN NaN NaN NaN NaN 17.452 1.256 2010 7 NaN NaN NaN NaN NaN NaN 20.550 2.634 2010 8 NaN NaN NaN NaN NaN NaN 17.286 -0.118 2010 9 NaN NaN NaN NaN NaN NaN 13.405 -1.098 2010 10 NaN NaN NaN NaN NaN NaN 8.973 -0.532 2010 11 NaN NaN NaN NaN NaN NaN 5.655 1.069 2010 12 NaN NaN NaN NaN NaN NaN -1.691 -3.004 2011 1 NaN NaN NaN NaN NaN NaN 2.021 1.779 2011 2 2.071 1.804 1 0 NaN NaN 3.152 1.489 2011 3 5.797 2.114 0 2 5.797 2.114 7.496 2.416 2011 4 12.170 4.951 1 0 NaN NaN 12.709 4.093 2011 5 14.293 2.728 0 0 14.293 2.728 15.234 2.272 2011 6 18.120 3.320 1 0 NaN NaN 17.197 1.001 2011 7 16.390 -0.128 1 0 NaN NaN 16.394 -1.521 2011 8 18.551 2.543 1 0 NaN NaN 18.695 1.291 2011 9 13.945 0.839 1 0 NaN NaN 16.591 2.087 2011 10 3.746 -4.362 1 0 NaN NaN 10.313 0.807 2011 11 2.901 -0.289 1 0 NaN NaN 5.839 1.252 2011 12 2.593 2.677 1 0 NaN NaN 4.582 3.269 2012 1 0.572 1.727 0 0 0.572 1.727 3.053 2.811 2012 2 -1.065 -1.332 0 0 -1.065 -1.332 -1.867 -3.530 2012 3 6.797 3.114 0 0 6.797 3.114 8.728 3.648 2012 4 5.838 -1.381 1 0 NaN NaN 8.554 -0.062 2012 5 NaN NaN NaN NaN NaN NaN 14.979 2.017 2012 6 NaN NaN NaN NaN NaN NaN 16.547 0.350 2012 7 NaN NaN NaN NaN NaN NaN 17.816 -0.100 2012 8 NaN NaN NaN NaN NaN NaN 19.603 2.199 2012 9 NaN NaN NaN NaN NaN NaN 14.645 0.142 2012 10 NaN NaN NaN NaN NaN NaN 9.855 0.350 2012 11 NaN NaN NaN NaN NaN NaN 5.881 1.295 2012 12 NaN NaN NaN NaN NaN NaN 3.231 1.918 2013 1 NaN NaN NaN NaN NaN NaN 1.055 0.813 2013 2 NaN NaN NaN NaN NaN NaN -0.182 -1.845 2013 3 NaN NaN NaN NaN NaN NaN 2.860 -2.220 2013 4 NaN NaN NaN NaN NaN NaN 9.065 0.450