% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 11349 % Primary Name: VINA DEL MAR AIRPORT % Record Type: TAVG % Country: Chile % Latitude: -32.95000 +/- 0.00050 % Longitude: -71.47900 +/- 0.00050 % Elevation (m): 141.00 +/- 0.05 % # of Months: 34 % % IDs: gsod - 859212-99999 % icao - SCVM % usaf - 859212 % % Sources: Global Summary of the Day % % Site Hash: 64140daf69a6e4458b1bf84059df303d % Raw Data Hash: 9d9911f36815e53c948383cb35c2af11 % Adj Data Hash: 6d6ef6e503e03d57d4a86039ffbd9171 % % 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 2008 10 NaN NaN NaN NaN NaN NaN 13.258 0.838 2008 11 NaN NaN NaN NaN NaN NaN 15.501 1.522 2008 12 NaN NaN NaN NaN NaN NaN 16.452 1.277 2009 1 NaN NaN NaN NaN NaN NaN 16.740 0.556 2009 2 NaN NaN NaN NaN NaN NaN 16.410 0.392 2009 3 NaN NaN NaN NaN NaN NaN 16.310 1.083 2009 4 NaN NaN NaN NaN NaN NaN 15.087 1.325 2009 5 NaN NaN NaN NaN NaN NaN 14.367 1.076 2009 6 NaN NaN NaN NaN NaN NaN 12.205 0.086 2009 7 NaN NaN NaN NaN NaN NaN 11.332 -0.400 2009 8 NaN NaN NaN NaN NaN NaN 12.730 0.985 2009 9 NaN NaN NaN NaN NaN NaN 11.420 -0.492 2009 10 14.278 2.200 1 0 NaN NaN 13.343 0.923 2009 11 16.940 3.303 1 0 NaN NaN 13.932 -0.047 2009 12 16.233 1.400 0 0 16.233 1.400 15.711 0.536 2010 1 16.978 1.136 0 0 16.978 1.136 16.672 0.489 2010 2 16.276 0.600 0 0 16.276 0.600 15.842 -0.176 2010 3 15.991 1.106 0 0 15.991 1.106 16.099 0.873 2010 4 13.617 0.196 0 0 13.617 0.196 13.828 0.065 2010 5 11.830 -1.120 0 0 11.830 -1.120 13.528 0.236 2010 6 10.781 -0.995 0 0 10.781 -0.995 12.162 0.044 2010 7 9.129 -2.261 0 0 9.129 -2.261 10.610 -1.122 2010 8 10.794 -0.609 0 0 10.794 -0.609 11.955 0.210 2010 9 11.911 0.341 0 0 11.911 0.341 12.378 0.466 2010 10 13.165 1.087 0 0 13.165 1.087 12.859 0.439 2010 11 13.981 0.344 0 0 13.981 0.344 14.162 0.183 2010 12 15.342 0.509 0 0 15.342 0.509 14.425 -0.750 2011 1 16.925 1.083 0 0 16.925 1.083 16.515 0.331 2011 2 17.681 2.004 1 0 NaN NaN 16.439 0.421 2011 3 16.177 1.293 0 0 16.177 1.293 15.809 0.583 2011 4 14.535 1.115 0 0 14.535 1.115 14.086 0.324 2011 5 11.321 -1.629 0 0 11.321 -1.629 13.063 -0.229 2011 6 11.141 -0.636 0 0 11.141 -0.636 12.331 0.212 2011 7 9.319 -2.071 0 0 9.319 -2.071 10.913 -0.818 2011 8 10.554 -0.850 0 0 10.554 -0.850 11.717 -0.028 2011 9 13.213 1.643 0 0 13.213 1.643 13.081 1.169 2011 10 13.389 1.311 0 0 13.389 1.311 12.926 0.506 2011 11 15.141 1.503 0 0 15.141 1.503 14.836 0.857 2011 12 16.414 1.581 0 0 16.414 1.581 16.044 0.869 2012 1 18.342 2.500 0 0 18.342 2.500 17.431 1.248 2012 2 18.581 2.905 1 0 NaN NaN 17.611 1.592 2012 3 16.891 2.006 0 0 16.891 2.006 16.815 1.588 2012 4 14.278 0.857 0 0 14.278 0.857 14.643 0.880 2012 5 13.747 0.797 0 0 13.747 0.797 15.016 1.724 2012 6 12.561 0.785 0 0 12.561 0.785 13.424 1.305 2012 7 10.479 -0.910 0 0 10.479 -0.910 11.829 0.098 2012 8 NaN NaN NaN NaN NaN NaN 11.968 0.223 2012 9 NaN NaN NaN NaN NaN NaN 12.766 0.854 2012 10 NaN NaN NaN NaN NaN NaN 12.793 0.373 2012 11 NaN NaN NaN NaN NaN NaN 14.878 0.898 2012 12 NaN NaN NaN NaN NaN NaN 15.984 0.808 2013 1 NaN NaN NaN NaN NaN NaN 16.927 0.743 2013 2 NaN NaN NaN NaN NaN NaN 17.448 1.430 2013 3 NaN NaN NaN NaN NaN NaN 15.219 -0.008 2013 4 NaN NaN NaN NaN NaN NaN 13.847 0.084 2013 5 NaN NaN NaN NaN NaN NaN 14.030 0.738 2013 6 NaN NaN NaN NaN NaN NaN 12.509 0.391 2013 7 NaN NaN NaN NaN NaN NaN 12.065 0.333