% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5822 % Primary Name: ARARAQUARA % Record Type: TAVG % Country: Brazil % Latitude: -21.81700 +/- 0.00050 % Longitude: -48.13300 +/- 0.00050 % Elevation (m): 711.00 +/- 0.05 % # of Months: 66 % % IDs: gsod - 836725-99999 % icao - SBAQ % usaf - 836725 % % Sources: Global Summary of the Day % % Site Hash: 42e50c24e7167d1428ec23f0f2589bc0 % Raw Data Hash: 696d54d37af8cd106a8a713dc655f16e % Adj Data Hash: 86c8ac30d85956e4703c1e61cc715fc8 % % 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 7 NaN NaN NaN NaN NaN NaN 20.085 1.876 2006 8 NaN NaN NaN NaN NaN NaN 22.241 1.928 2006 9 NaN NaN NaN NaN NaN NaN 22.498 0.328 2006 10 NaN NaN NaN NaN NaN NaN 23.954 0.770 2006 11 NaN NaN NaN NaN NaN NaN 24.318 0.643 2006 12 NaN NaN NaN NaN NaN NaN 24.665 0.915 2007 1 NaN NaN NaN NaN NaN NaN 24.191 0.075 2007 2 NaN NaN NaN NaN NaN NaN 25.010 0.651 2007 3 NaN NaN NaN NaN NaN NaN 25.764 1.794 2007 4 NaN NaN NaN NaN NaN NaN 23.498 1.854 2007 5 NaN NaN NaN NaN NaN NaN 19.473 0.196 2007 6 NaN NaN NaN NaN NaN NaN 19.875 1.734 2007 7 15.265 -3.809 1 0 NaN NaN 18.547 0.338 2007 8 20.202 -0.976 1 0 NaN NaN 21.461 1.148 2007 9 23.822 0.788 1 0 NaN NaN 24.552 2.383 2007 10 25.366 1.317 0 0 25.366 1.317 25.793 2.609 2007 11 NaN NaN NaN NaN NaN NaN 23.966 0.291 2007 12 NaN NaN NaN NaN NaN NaN 24.902 1.152 2008 1 NaN NaN NaN NaN NaN NaN 23.774 -0.342 2008 2 NaN NaN NaN NaN NaN NaN 24.351 -0.009 2008 3 NaN NaN NaN NaN NaN NaN 24.094 0.124 2008 4 NaN NaN NaN NaN NaN NaN 22.316 0.672 2008 5 NaN NaN NaN NaN NaN NaN 18.876 -0.402 2008 6 NaN NaN NaN NaN NaN NaN 19.078 0.937 2008 7 NaN NaN NaN NaN NaN NaN 18.908 0.699 2008 8 NaN NaN NaN NaN NaN NaN 22.007 1.694 2008 9 NaN NaN NaN NaN NaN NaN 22.269 0.099 2008 10 24.129 0.080 1 0 NaN NaN 24.894 1.710 2008 11 23.524 -1.017 1 0 NaN NaN 24.346 0.670 2008 12 23.401 -1.214 1 0 NaN NaN 24.035 0.285 2009 1 23.820 -1.161 1 0 NaN NaN 24.096 -0.020 2009 2 23.500 -1.724 0 2 23.500 -1.724 24.984 0.625 2009 3 24.511 -0.324 1 0 NaN NaN 25.189 1.219 2009 4 21.362 -1.146 0 0 21.362 -1.146 22.140 0.496 2009 5 20.389 0.246 1 0 NaN NaN 20.420 1.142 2009 6 16.760 -2.246 0 0 16.760 -2.246 17.454 -0.687 2009 7 20.664 1.590 0 0 20.664 1.590 19.421 1.212 2009 8 22.278 1.100 1 0 NaN NaN 20.826 0.513 2009 9 23.505 0.470 0 0 23.505 0.470 23.344 1.174 2009 10 24.694 0.645 1 0 NaN NaN 23.927 0.743 2009 11 27.841 3.300 1 0 NaN NaN 26.085 2.410 2009 12 25.787 1.173 0 0 25.787 1.173 24.374 0.624 2010 1 26.172 1.191 1 0 NaN NaN 24.934 0.818 2010 2 27.998 2.774 1 0 NaN NaN 25.919 1.560 2010 3 26.220 1.385 1 0 NaN NaN 25.282 1.312 2010 4 23.130 0.621 0 0 23.130 0.621 22.354 0.710 2010 5 20.920 0.778 1 0 NaN NaN 19.643 0.366 2010 6 19.939 0.933 0 0 19.939 0.933 18.733 0.592 2010 7 22.430 3.356 1 0 NaN NaN 20.214 2.005 2010 8 23.517 2.339 1 0 NaN NaN 21.130 0.817 2010 9 25.053 2.018 0 0 25.053 2.018 23.860 1.690 2010 10 25.688 1.639 1 0 NaN NaN 23.386 0.202 2010 11 26.765 2.225 0 0 26.765 2.225 24.512 0.836 2010 12 26.855 2.240 0 0 26.855 2.240 25.344 1.595 2011 1 26.479 1.498 1 0 NaN NaN 25.111 0.994 2011 2 25.863 0.639 0 0 25.863 0.639 25.389 1.030 2011 3 23.954 -0.881 0 0 23.954 -0.881 23.632 -0.338 2011 4 23.640 1.131 0 0 23.640 1.131 22.711 1.067 2011 5 20.366 0.224 0 0 20.366 0.224 19.427 0.150 2011 6 18.683 -0.323 0 0 18.683 -0.323 17.928 -0.213 2011 7 21.829 2.755 1 0 NaN NaN 19.930 1.722 2011 8 23.045 1.867 0 0 23.045 1.867 22.015 1.702 2011 9 26.323 3.288 1 0 NaN NaN 23.401 1.231 2011 10 25.415 1.366 1 0 NaN NaN 23.739 0.554 2011 11 25.227 0.687 0 0 25.227 0.687 23.676 0.001 2011 12 26.553 1.938 1 0 NaN NaN 24.459 0.709 2012 1 24.836 -0.145 0 0 24.836 -0.145 23.262 -0.854 2012 2 27.198 1.974 0 0 27.198 1.974 25.817 1.457 2012 3 26.278 1.443 1 0 NaN NaN 24.874 0.903 2012 4 25.787 3.279 1 0 NaN NaN 23.057 1.413 2012 5 20.657 0.515 1 0 NaN NaN 19.217 -0.060 2012 6 21.134 2.128 1 0 NaN NaN 19.583 1.442 2012 7 19.864 0.790 0 0 19.864 0.790 18.917 0.708 2012 8 22.379 1.201 0 0 22.379 1.201 21.331 1.018 2012 9 25.033 1.998 1 0 NaN NaN 23.989 1.819 2012 10 27.826 3.777 1 0 NaN NaN 25.950 2.766 2012 11 26.894 2.354 0 0 26.894 2.354 24.818 1.142 2012 12 29.167 4.552 1 0 NaN NaN 26.041 2.291 2013 1 25.363 0.382 1 0 NaN NaN 23.698 -0.418 2013 2 25.753 0.529 0 0 25.753 0.529 24.727 0.368 2013 3 24.895 0.060 1 0 NaN NaN 24.091 0.121 2013 4 23.032 0.523 0 0 23.032 0.523 21.438 -0.206 2013 5 21.193 1.051 0 0 21.193 1.051 19.985 0.708 2013 6 21.426 2.420 1 0 NaN NaN 19.608 1.467 2013 7 18.884 -0.190 0 0 18.884 -0.190 18.066 -0.143 2013 8 21.253 0.074 0 0 21.253 0.074 20.418 0.105 2013 9 23.688 0.653 0 0 23.688 0.653 22.893 0.723 2013 10 24.560 0.511 0 0 24.560 0.511 23.423 0.239 2013 11 21.828 -2.712 1 0 NaN NaN NaN NaN