% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 136353 % Primary Name: CHAMONIX % Record Type: TAVG % Country: France % Latitude: 45.93300 +/- 0.00050 % Longitude: 6.88300 +/- 0.00050 % Elevation (m): 1042.00 +/- 0.05 % # of Months: 47 % % IDs: gsod - 074690-99999 % usaf - 74690 % % Sources: Global Summary of the Day % % Site Hash: 7ef5d3b24102b74adc94d4f408dd8d5d % Raw Data Hash: 31f965d343d88c236ec8ab7569043f69 % Adj Data Hash: 02e96b6ad28918ce0803033e6fa4a8f9 % % 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 2004 2 NaN NaN NaN NaN NaN NaN 1.991 0.686 2004 3 NaN NaN NaN NaN NaN NaN 4.430 0.054 2004 4 NaN NaN NaN NaN NaN NaN 8.118 0.538 2004 5 NaN NaN NaN NaN NaN NaN 11.995 -0.017 2004 6 NaN NaN NaN NaN NaN NaN 16.806 1.384 2004 7 NaN NaN NaN NaN NaN NaN 18.349 0.676 2004 8 NaN NaN NaN NaN NaN NaN 18.143 1.203 2004 9 NaN NaN NaN NaN NaN NaN 15.195 1.140 2004 10 NaN NaN NaN NaN NaN NaN 11.684 2.567 2004 11 NaN NaN NaN NaN NaN NaN 3.870 -0.295 2004 12 NaN NaN NaN NaN NaN NaN 1.390 0.474 2005 1 NaN NaN NaN NaN NaN NaN 0.031 0.163 2005 2 -5.808 -4.134 0 0 -5.808 -4.134 -1.272 -2.576 2005 3 0.887 -0.511 0 0 0.887 -0.511 5.213 0.838 2005 4 5.987 1.385 0 0 5.987 1.385 8.279 0.698 2005 5 11.670 2.636 0 0 11.670 2.636 13.637 1.624 2005 6 15.328 2.885 0 0 15.328 2.885 18.326 2.904 2005 7 15.306 0.612 0 0 15.306 0.612 18.898 1.225 2005 8 13.423 -0.538 0 0 13.423 -0.538 16.531 -0.409 2005 9 12.515 1.439 0 0 12.515 1.439 15.216 1.162 2005 10 7.701 1.562 0 0 7.701 1.562 11.551 2.434 2005 11 0.928 -0.259 0 0 0.928 -0.259 3.520 -0.645 2005 12 -6.016 -3.953 0 0 -6.016 -3.953 -0.903 -1.818 2006 1 -4.211 -1.102 0 0 -4.211 -1.102 -0.669 -0.537 2006 2 -2.750 -1.076 0 0 -2.750 -1.076 0.479 -0.825 2006 3 0.054 -1.344 0 0 0.054 -1.344 4.195 -0.181 2006 4 6.011 1.409 0 0 6.011 1.409 8.515 0.935 2006 5 10.885 1.851 0 0 10.885 1.851 13.053 1.041 2006 6 15.115 2.672 0 0 15.115 2.672 17.726 2.304 2006 7 17.977 3.282 0 0 17.977 3.282 22.114 4.441 2006 8 12.349 -1.612 0 0 12.349 -1.612 15.206 -1.734 2006 9 14.081 3.005 0 0 14.081 3.005 16.987 2.933 2006 10 9.627 3.489 0 0 9.627 3.489 12.654 3.538 2006 11 3.948 2.761 0 0 3.948 2.761 6.742 2.577 2006 12 -2.029 0.034 0 0 -2.029 0.034 2.471 1.556 2007 1 -0.724 2.386 0 0 -0.724 2.386 3.341 3.472 2007 2 0.347 2.021 0 0 0.347 2.021 4.705 3.401 2007 3 2.514 1.117 0 0 2.514 1.117 5.746 1.370 2007 4 10.689 6.087 0 0 10.689 6.087 12.635 5.054 2007 5 11.409 2.375 0 0 11.409 2.375 13.836 1.824 2007 6 14.619 2.175 0 0 14.619 2.175 16.624 1.202 2007 7 14.998 0.303 0 0 14.998 0.303 17.522 -0.151 2007 8 14.543 0.581 0 0 14.543 0.581 16.822 -0.118 2007 9 10.630 -0.446 0 0 10.630 -0.446 13.236 -0.818 2007 10 6.522 0.383 0 0 6.522 0.383 9.260 0.143 2007 11 0.454 -0.733 0 0 0.454 -0.733 3.021 -1.144 2007 12 1.471 3.534 1 0 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 7.095 2.493 1 0 NaN NaN 7.440 -0.140 2008 5 12.893 3.859 1 0 NaN NaN 14.294 2.282 2008 6 15.039 2.596 0 0 15.039 2.596 16.456 1.035 2008 7 16.182 1.487 0 0 16.182 1.487 18.211 0.538 2008 8 14.713 0.752 0 0 14.713 0.752 17.306 0.366 2008 9 10.687 -0.389 0 0 10.687 -0.389 12.710 -1.344 2008 10 7.756 1.618 0 0 7.756 1.618 9.663 0.546 2008 11 1.876 0.689 0 0 1.876 0.689 4.492 0.327 2008 12 -2.733 -0.670 0 0 -2.733 -0.670 0.550 -0.365 2009 1 -6.023 -2.913 1 0 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 8.040 3.437 1 0 NaN NaN 10.154 2.573 2009 5 11.287 2.253 1 0 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 NaN NaN NaN NaN NaN NaN -1.612 -1.480 2010 2 NaN NaN NaN NaN NaN NaN 0.927 -0.378 2010 3 NaN NaN NaN NaN NaN NaN 4.541 0.165 2010 4 NaN NaN NaN NaN NaN NaN 9.427 1.847 2010 5 NaN NaN NaN NaN NaN NaN 11.453 -0.559