% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 11289 % Primary Name: AD MELINKA % Record Type: TAVG % Country: Chile % Latitude: -43.89400 +/- 0.00050 % Longitude: -73.74000 +/- 0.00050 % Elevation (m): 11.00 +/- 0.05 % # of Months: 33 % % IDs: gsod - 854591-99999 % icao - SCMK % usaf - 854591 % % Sources: Global Summary of the Day % % Site Hash: fdcd6611f2e2245c69e94079b6205678 % Raw Data Hash: a859a85e3448672bd0126872f2d69b74 % Adj Data Hash: db22601e84b9476c4415b8ffbd70121b % % 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 9.523 0.688 2008 11 NaN NaN NaN NaN NaN NaN 11.733 1.078 2008 12 NaN NaN NaN NaN NaN NaN 14.672 2.672 2009 1 NaN NaN NaN NaN NaN NaN 13.790 0.818 2009 2 NaN NaN NaN NaN NaN NaN 13.693 0.625 2009 3 NaN NaN NaN NaN NaN NaN 12.747 0.723 2009 4 NaN NaN NaN NaN NaN NaN 11.662 1.566 2009 5 NaN NaN NaN NaN NaN NaN 9.342 0.583 2009 6 NaN NaN NaN NaN NaN NaN 7.485 0.464 2009 7 NaN NaN NaN NaN NaN NaN 7.671 1.044 2009 8 NaN NaN NaN NaN NaN NaN 8.188 1.111 2009 9 NaN NaN NaN NaN NaN NaN 8.044 0.289 2009 10 8.500 -1.545 1 0 NaN NaN 7.914 -0.921 2009 11 10.000 -1.865 1 0 NaN NaN 8.341 -2.313 2009 12 12.340 -0.870 0 0 12.340 -0.870 11.517 -0.483 2010 1 13.525 -0.658 0 0 13.525 -0.658 12.282 -0.690 2010 2 13.296 -0.982 1 0 NaN NaN 11.609 -1.459 2010 3 16.761 3.527 1 0 NaN NaN 13.713 1.690 2010 4 12.167 0.860 1 0 NaN NaN 10.204 0.107 2010 5 9.694 -0.275 1 0 NaN NaN 9.078 0.320 2010 6 8.976 0.744 1 0 NaN NaN 7.645 0.623 2010 7 NaN NaN NaN NaN NaN NaN 6.192 -0.436 2010 8 8.749 0.462 1 0 NaN NaN 6.541 -0.535 2010 9 9.580 0.615 1 0 NaN NaN 7.871 0.117 2010 10 10.805 0.759 1 0 NaN NaN 9.483 0.648 2010 11 11.956 0.091 1 0 NaN NaN 10.939 0.284 2010 12 13.408 0.199 1 0 NaN NaN 11.768 -0.231 2011 1 15.110 0.928 1 0 NaN NaN 13.666 0.694 2011 2 15.514 1.236 0 2 15.514 1.236 14.335 1.267 2011 3 12.865 -0.369 0 0 12.865 -0.369 11.793 -0.230 2011 4 11.068 -0.239 1 0 NaN NaN 10.644 0.548 2011 5 10.273 0.304 1 0 NaN NaN 9.856 1.098 2011 6 8.922 0.690 1 0 NaN NaN 7.923 0.901 2011 7 8.312 0.474 1 0 NaN NaN 6.969 0.342 2011 8 8.508 0.221 0 0 8.508 0.221 6.799 -0.277 2011 9 9.772 0.808 0 0 9.772 0.808 8.566 0.812 2011 10 11.108 1.063 1 0 NaN NaN 9.499 0.664 2011 11 15.778 3.913 1 0 NaN NaN 11.083 0.428 2011 12 15.763 2.553 1 0 NaN NaN 14.181 2.182 2012 1 16.808 2.625 0 0 16.808 2.625 15.433 2.460 2012 2 13.950 -0.329 0 0 13.950 -0.329 12.712 -0.356 2012 3 14.404 1.170 0 0 14.404 1.170 13.459 1.435 2012 4 11.768 0.461 1 0 NaN NaN 10.242 0.146 2012 5 9.847 -0.122 1 0 NaN NaN 9.542 0.783 2012 6 8.121 -0.110 0 0 8.121 -0.110 6.705 -0.316 2012 7 8.010 0.172 0 0 8.010 0.172 6.902 0.275 2012 8 NaN NaN NaN NaN NaN NaN 7.854 0.777 2012 9 NaN NaN NaN NaN NaN NaN 8.927 1.173 2012 10 NaN NaN NaN NaN NaN NaN 9.500 0.665 2012 11 NaN NaN NaN NaN NaN NaN 12.022 1.368 2012 12 NaN NaN NaN NaN NaN NaN 10.858 -1.141 2013 1 NaN NaN NaN NaN NaN NaN 15.733 2.760 2013 2 NaN NaN NaN NaN NaN NaN 13.408 0.340 2013 3 NaN NaN NaN NaN NaN NaN 12.074 0.050 2013 4 NaN NaN NaN NaN NaN NaN 11.794 1.698 2013 5 NaN NaN NaN NaN NaN NaN 10.144 1.386 2013 6 NaN NaN NaN NaN NaN NaN 9.247 2.226 2013 7 NaN NaN NaN NaN NaN NaN 7.122 0.494