% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159480 % Primary Name: BIERE % Record Type: TAVG % Country: Switzerland % Latitude: 46.52082 +/- 0.00432 % Longitude: 6.33757 +/- 0.00507 % Elevation (m): 684.57 +/- 0.61 % # of Months: 48 % % IDs: gsod - 067040-99999 % usaf - 67040 % wmo - 6704 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 5e015095a23edfc3c48998be74dd6cba % Raw Data Hash: 8be053aacb66ce644d595e810bbbff91 % Adj Data Hash: abb869ca1b6c20e07c70f7be6e9616c0 % % 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 2 NaN NaN NaN NaN NaN NaN 0.479 -0.825 2006 3 NaN NaN NaN NaN NaN NaN 4.195 -0.181 2006 4 NaN NaN NaN NaN NaN NaN 8.515 0.935 2006 5 NaN NaN NaN NaN NaN NaN 13.053 1.041 2006 6 NaN NaN NaN NaN NaN NaN 17.726 2.304 2006 7 NaN NaN NaN NaN NaN NaN 22.114 4.441 2006 8 NaN NaN NaN NaN NaN NaN 15.206 -1.734 2006 9 NaN NaN NaN NaN NaN NaN 16.987 2.933 2006 10 NaN NaN NaN NaN NaN NaN 12.654 3.538 2006 11 NaN NaN NaN NaN NaN NaN 6.742 2.577 2006 12 NaN NaN NaN NaN NaN NaN 2.471 1.556 2007 1 NaN NaN NaN NaN NaN NaN 3.341 3.472 2007 2 8.532 7.717 1 0 NaN NaN 4.705 3.401 2007 3 NaN NaN NaN NaN NaN NaN 5.746 1.370 2007 4 NaN NaN NaN NaN NaN NaN 12.635 5.054 2007 5 NaN NaN NaN NaN NaN NaN 13.836 1.824 2007 6 NaN NaN NaN NaN NaN NaN 16.624 1.202 2007 7 NaN NaN NaN NaN NaN NaN 17.522 -0.151 2007 8 NaN NaN NaN NaN NaN NaN 16.822 -0.118 2007 9 NaN NaN NaN NaN NaN NaN 13.236 -0.818 2007 10 NaN NaN NaN NaN NaN NaN 9.260 0.143 2007 11 NaN NaN NaN NaN NaN NaN 3.021 -1.144 2007 12 NaN NaN NaN NaN NaN NaN 0.772 -0.144 2008 1 NaN NaN NaN NaN NaN NaN 3.009 3.141 2008 2 NaN NaN NaN NaN NaN NaN 3.735 2.431 2008 3 NaN NaN NaN NaN NaN NaN 4.525 0.149 2008 4 NaN NaN NaN NaN NaN NaN 7.440 -0.140 2008 5 NaN NaN NaN NaN NaN NaN 14.294 2.282 2008 6 NaN NaN NaN NaN NaN NaN 16.456 1.035 2008 7 NaN NaN NaN NaN NaN NaN 18.211 0.538 2008 8 NaN NaN NaN NaN NaN NaN 17.306 0.366 2008 9 NaN NaN NaN NaN NaN NaN 12.710 -1.344 2008 10 NaN NaN NaN NaN NaN NaN 9.663 0.546 2008 11 NaN NaN NaN NaN NaN NaN 4.492 0.327 2008 12 NaN NaN NaN NaN NaN NaN 0.550 -0.365 2009 1 NaN NaN NaN NaN NaN NaN -1.079 -0.948 2009 2 NaN NaN NaN NaN NaN NaN 0.890 -0.415 2009 3 NaN NaN NaN NaN NaN NaN 5.010 0.634 2009 4 NaN NaN NaN NaN NaN NaN 10.154 2.573 2009 5 NaN NaN NaN NaN NaN NaN 15.344 3.331 2009 6 NaN NaN NaN NaN NaN NaN 16.646 1.225 2009 7 NaN NaN NaN NaN NaN NaN 19.249 1.576 2009 8 NaN NaN NaN NaN NaN NaN 19.946 3.006 2009 9 NaN NaN NaN NaN NaN NaN 15.420 1.366 2009 10 NaN NaN NaN NaN NaN NaN 9.529 0.413 2009 11 NaN NaN NaN NaN NaN NaN 6.707 2.542 2009 12 NaN NaN NaN NaN NaN NaN 1.493 0.577 2010 1 -4.140 -3.519 1 0 NaN NaN -1.612 -1.480 2010 2 -0.054 -0.869 1 0 NaN NaN 0.927 -0.378 2010 3 3.835 -0.051 0 0 3.835 -0.051 4.541 0.165 2010 4 10.600 3.509 0 0 10.600 3.509 9.427 1.847 2010 5 11.251 -0.272 0 0 11.251 -0.272 11.453 -0.559 2010 6 15.948 1.016 0 0 15.948 1.016 16.245 0.823 2010 7 19.662 2.479 0 0 19.662 2.479 20.485 2.812 2010 8 16.668 0.218 0 0 16.668 0.218 17.218 0.278 2010 9 12.950 -0.615 0 0 12.950 -0.615 13.385 -0.669 2010 10 8.462 -0.165 0 0 8.462 -0.165 9.055 -0.062 2010 11 4.481 0.806 0 0 4.481 0.806 4.689 0.524 2010 12 -1.027 -1.453 0 0 -1.027 -1.453 -0.687 -1.602 2011 1 1.156 1.777 0 0 1.156 1.777 1.167 1.299 2011 2 2.256 1.441 0 0 2.256 1.441 2.778 1.473 2011 3 6.432 2.545 0 0 6.432 2.545 6.518 2.142 2011 4 12.023 4.932 0 0 12.023 4.932 11.791 4.211 2011 5 14.685 3.162 0 0 14.685 3.162 15.241 3.229 2011 6 15.841 0.909 0 0 15.841 0.909 16.277 0.856 2011 7 15.672 -1.512 0 0 15.672 -1.512 16.431 -1.242 2011 8 18.093 1.643 0 0 18.093 1.643 18.817 1.877 2011 9 15.848 2.283 0 0 15.848 2.283 16.309 2.255 2011 10 9.341 0.713 0 0 9.341 0.713 10.205 1.088 2011 11 5.356 1.680 0 0 5.356 1.680 6.032 1.867 2011 12 2.810 2.384 0 0 2.810 2.384 3.174 2.259 2012 1 1.563 2.184 0 0 1.563 2.184 1.891 2.023 2012 2 -3.310 -4.126 0 0 -3.310 -4.126 -2.750 -4.054 2012 3 8.190 4.303 0 0 8.190 4.303 8.021 3.645 2012 4 8.061 0.970 0 0 8.061 0.970 8.142 0.561 2012 5 13.342 1.819 0 0 13.342 1.819 13.702 1.690 2012 6 16.720 1.788 0 0 16.720 1.788 17.306 1.884 2012 7 17.663 0.479 0 0 17.663 0.479 18.227 0.554 2012 8 18.720 2.270 0 0 18.720 2.270 19.395 2.455 2012 9 13.854 0.289 0 0 13.854 0.289 14.527 0.473 2012 10 9.613 0.986 0 0 9.613 0.986 10.538 1.421 2012 11 5.052 1.376 0 0 5.052 1.376 5.736 1.571 2012 12 1.174 0.748 0 0 1.174 0.748 1.953 1.038 2013 1 -0.056 0.565 0 0 -0.056 0.565 0.582 0.714 2013 2 -1.758 -2.573 0 0 -1.758 -2.573 -1.015 -2.320 2013 3 2.254 -1.632 0 0 2.254 -1.632 3.900 -0.476 2013 4 8.269 1.177 0 0 8.269 1.177 8.577 0.997 2013 5 9.480 -2.043 0 0 9.480 -2.043 9.999 -2.013 2013 6 14.798 -0.134 0 0 14.798 -0.134 15.515 0.093 2013 7 19.568 2.384 0 0 19.568 2.384 20.276 2.603 2013 8 17.731 1.281 0 0 17.731 1.281 18.267 1.327 2013 9 14.098 0.533 0 0 14.098 0.533 14.865 0.810 2013 10 11.065 2.437 0 0 11.065 2.437 11.766 2.649 2013 11 8.117 4.442 1 0 NaN NaN NaN NaN