% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5755 % Primary Name: MINISTRO VICTOR KON % Record Type: TAVG % Country: Brazil % Latitude: -26.86700 +/- 0.00050 % Longitude: -48.65000 +/- 0.00050 % Elevation (m): 5.00 +/- 0.05 % # of Months: 79 % % IDs: gsod - 825991-99999 % icao - SBNF % usaf - 825991 % % Sources: Global Summary of the Day % % Site Hash: b8abf40829a9e775926dbf56e81a49bd % Raw Data Hash: 88d13f6441342463ff15a77b1936e40b % Adj Data Hash: 14ad905d58be1230a28fcc2e9c5f6cce % % 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 5 NaN NaN NaN NaN NaN NaN 19.745 -0.673 2004 6 NaN NaN NaN NaN NaN NaN 20.064 0.843 2004 7 NaN NaN NaN NaN NaN NaN 18.697 0.124 2004 8 NaN NaN NaN NaN NaN NaN 19.228 0.685 2004 9 NaN NaN NaN NaN NaN NaN 21.189 2.484 2004 10 NaN NaN NaN NaN NaN NaN 19.565 0.175 2004 11 NaN NaN NaN NaN NaN NaN 21.187 0.380 2004 12 NaN NaN NaN NaN NaN NaN 22.309 -0.091 2005 1 NaN NaN NaN NaN NaN NaN 24.264 0.409 2005 2 NaN NaN NaN NaN NaN NaN 24.202 -0.134 2005 3 NaN NaN NaN NaN NaN NaN 24.674 0.740 2005 4 NaN NaN NaN NaN NaN NaN 23.674 1.859 2005 5 21.393 0.775 1 0 NaN NaN 22.372 1.953 2005 6 NaN NaN NaN NaN NaN NaN 22.402 3.181 2005 7 NaN NaN NaN NaN NaN NaN 19.370 0.797 2005 8 NaN NaN NaN NaN NaN NaN 20.745 2.202 2005 9 NaN NaN NaN NaN NaN NaN 18.438 -0.267 2005 10 NaN NaN NaN NaN NaN NaN 20.712 1.322 2005 11 NaN NaN NaN NaN NaN NaN 21.396 0.589 2005 12 NaN NaN NaN NaN NaN NaN 22.339 -0.061 2006 1 NaN NaN NaN NaN NaN NaN 25.263 1.408 2006 2 NaN NaN NaN NaN NaN NaN 24.925 0.589 2006 3 NaN NaN NaN NaN NaN NaN 25.313 1.379 2006 4 NaN NaN NaN NaN NaN NaN 22.057 0.242 2006 5 NaN NaN NaN NaN NaN NaN 19.505 -0.913 2006 6 NaN NaN NaN NaN NaN NaN 20.497 1.276 2006 7 NaN NaN NaN NaN NaN NaN 20.651 2.078 2006 8 NaN NaN NaN NaN NaN NaN 19.865 1.322 2006 9 NaN NaN NaN NaN NaN NaN 18.849 0.144 2006 10 NaN NaN NaN NaN NaN NaN 20.708 1.318 2006 11 NaN NaN NaN NaN NaN NaN 21.201 0.394 2006 12 NaN NaN NaN NaN NaN NaN 23.930 1.530 2007 1 NaN NaN NaN NaN NaN NaN 24.471 0.616 2007 2 NaN NaN NaN NaN NaN NaN 24.951 0.615 2007 3 NaN NaN NaN NaN NaN NaN 26.141 2.206 2007 4 NaN NaN NaN NaN NaN NaN 23.719 1.904 2007 5 NaN NaN NaN NaN NaN NaN 19.965 -0.453 2007 6 14.565 -4.855 1 0 NaN NaN 20.487 1.266 2007 7 15.252 -3.520 0 0 15.626 -3.146 17.706 -0.867 2007 8 16.206 -2.537 1 0 NaN NaN 18.979 0.436 2007 9 20.007 1.103 0 0 20.381 1.477 20.902 2.198 2007 10 21.900 2.311 0 0 22.273 2.684 21.507 2.117 2007 11 22.122 1.116 0 0 22.496 1.490 21.139 0.332 2007 12 24.380 1.781 0 0 24.754 2.155 23.456 1.057 2008 1 25.125 1.072 0 0 25.499 1.445 23.673 -0.181 2008 2 25.193 0.658 0 0 25.567 1.032 24.389 0.053 2008 3 24.919 0.786 0 0 25.293 1.159 24.483 0.549 2008 4 22.043 0.028 0 0 22.416 0.402 22.182 0.367 2008 5 19.394 -1.223 0 0 19.768 -0.850 20.487 0.069 2008 6 16.470 -2.950 0 0 16.844 -2.576 18.924 -0.297 2008 7 18.387 -0.385 0 0 18.761 -0.011 20.075 1.503 2008 8 18.410 -0.332 0 0 18.784 0.042 19.949 1.406 2008 9 18.343 -0.561 0 0 18.716 -0.188 18.532 -0.173 2008 10 20.789 1.199 0 0 21.162 1.573 20.441 1.052 2008 11 21.937 0.931 0 0 22.311 1.305 20.793 -0.013 2008 12 23.491 0.892 0 0 23.865 1.266 22.289 -0.110 2009 1 24.602 0.548 0 0 24.976 0.922 23.560 -0.295 2009 2 25.698 1.163 0 0 26.072 1.537 24.845 0.509 2009 3 25.642 1.508 0 0 26.015 1.882 25.235 1.301 2009 4 23.156 1.141 0 0 23.529 1.515 22.739 0.924 2009 5 20.319 -0.299 0 0 20.693 0.075 21.541 1.123 2009 6 16.789 -2.632 0 0 17.163 -2.258 18.376 -0.845 2009 7 16.073 -2.699 0 0 16.447 -2.325 17.988 -0.585 2009 8 17.887 -0.855 0 0 18.261 -0.482 19.470 0.927 2009 9 19.330 0.426 0 0 19.703 0.799 19.748 1.043 2009 10 20.423 0.834 0 0 20.797 1.208 19.913 0.523 2009 11 24.900 3.894 0 0 25.274 4.268 24.266 3.459 2009 12 25.414 2.815 0 0 25.788 3.189 23.938 1.538 2010 1 25.839 1.785 0 0 26.213 2.159 24.859 1.004 2010 2 26.671 2.135 0 0 27.044 2.509 26.221 1.885 2010 3 25.034 0.900 0 0 25.408 1.274 24.751 0.817 2010 4 22.054 0.039 0 0 22.428 0.413 22.093 0.277 2010 5 19.882 -0.736 0 0 20.256 -0.362 21.004 0.585 2010 6 18.337 -1.083 0 0 18.711 -0.710 19.943 0.722 2010 7 18.332 -0.440 0 4 18.004 -0.768 19.673 1.101 2010 8 17.172 -1.570 0 0 16.845 -1.898 18.244 -0.299 2010 9 20.019 1.115 0 0 19.691 0.787 19.776 1.071 2010 10 20.962 1.373 0 0 20.635 1.046 19.385 -0.005 2010 11 23.480 2.474 0 0 23.153 2.147 21.461 0.654 2010 12 24.690 2.091 0 0 24.363 1.764 22.835 0.435 2011 1 27.439 3.385 0 0 27.112 3.058 25.454 1.599 2011 2 26.772 2.237 0 0 26.445 1.909 25.350 1.015 2011 3 25.102 0.968 0 0 24.775 0.641 23.713 -0.221 2011 4 23.541 1.526 0 0 23.214 1.199 22.922 1.107 2011 5 20.609 -0.008 0 0 20.282 -0.335 20.800 0.381 2011 6 17.617 -1.804 0 0 17.290 -2.131 18.833 -0.388 2011 7 17.041 -1.731 0 0 16.714 -2.058 18.858 0.285 2011 8 17.823 -0.920 0 0 17.496 -1.247 18.855 0.312 2011 9 18.850 -0.054 0 0 18.523 -0.381 18.577 -0.128 2011 10 21.254 1.665 0 0 20.927 1.338 20.427 1.037 2011 11 22.769 1.763 0 0 22.441 1.435 20.600 -0.206 2011 12 24.581 1.981 0 0 24.254 1.654 22.518 0.118 2012 1 25.738 1.684 0 0 25.411 1.357 23.634 -0.221 2012 2 27.034 2.499 0 0 26.707 2.172 25.750 1.414 2012 3 25.441 1.307 0 0 25.114 0.980 24.533 0.599 2012 4 23.467 1.452 0 0 23.140 1.125 22.619 0.804 2012 5 21.290 0.673 0 0 20.963 0.346 21.174 0.756 2012 6 18.581 -0.839 0 0 18.254 -1.166 19.848 0.627 2012 7 17.194 -1.578 0 0 16.866 -1.906 18.599 0.026 2012 8 19.919 1.177 0 0 19.592 0.850 20.655 2.112 2012 9 20.846 1.942 0 0 20.519 1.615 20.371 1.666 2012 10 22.729 3.140 0 0 22.402 2.813 21.648 2.259 2012 11 24.081 3.076 0 0 23.754 2.748 22.031 1.224 2012 12 26.106 3.507 0 0 25.779 3.179 24.937 2.537 2013 1 25.747 1.693 0 0 25.420 1.366 23.619 -0.236 2013 2 26.722 2.187 0 0 26.395 1.860 24.994 0.659 2013 3 25.122 0.988 0 0 24.795 0.661 23.906 -0.028 2013 4 23.298 1.284 0 0 22.971 0.957 22.218 0.402 2013 5 20.629 0.011 0 0 20.302 -0.316 21.087 0.669 2013 6 19.348 -0.072 0 0 19.021 -0.399 20.475 1.254 2013 7 16.642 -2.130 0 0 16.314 -2.458 18.039 -0.534 2013 8 17.333 -1.409 0 0 17.006 -1.736 18.291 -0.252 2013 9 19.394 0.490 0 0 19.067 0.163 19.482 0.778 2013 10 22.116 2.527 0 0 21.789 2.200 20.483 1.094 2013 11 22.059 1.053 1 0 NaN NaN NaN NaN