% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 152873 % Primary Name: ARACATUBA % Record Type: TAVG % Country: Brazil % Latitude: -21.20000 +/- 0.00050 % Longitude: -50.43300 +/- 0.00050 % Elevation (m): 397.00 +/- 0.05 % # of Months: 62 % % IDs: gsod - 836720-99999 % usaf - 836720 % wmo - 83672 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 8f11431411eda81f727d02332150acd0 % Raw Data Hash: b3c80d3a378ef1c75bda130735bcf5f1 % Adj Data Hash: 122a6128798d539d35e98e8f149b6c9f % % 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 21.912 1.995 2006 8 NaN NaN NaN NaN NaN NaN 23.819 2.020 2006 9 NaN NaN NaN NaN NaN NaN 23.235 -0.169 2006 10 NaN NaN NaN NaN NaN NaN 25.691 1.214 2006 11 NaN NaN NaN NaN NaN NaN 26.259 0.893 2006 12 NaN NaN NaN NaN NaN NaN 26.375 0.741 2007 1 NaN NaN NaN NaN NaN NaN 25.818 0.016 2007 2 NaN NaN NaN NaN NaN NaN 26.453 0.474 2007 3 NaN NaN NaN NaN NaN NaN 27.150 1.448 2007 4 NaN NaN NaN NaN NaN NaN 25.220 1.828 2007 5 NaN NaN NaN NaN NaN NaN 21.295 0.218 2007 6 NaN NaN NaN NaN NaN NaN 22.174 2.155 2007 7 14.536 -2.712 1 0 NaN NaN 20.077 0.159 2007 8 19.319 0.189 1 0 NaN NaN 22.798 0.999 2007 9 22.702 1.968 1 0 NaN NaN 26.739 3.335 2007 10 23.295 1.488 0 0 23.295 1.488 27.014 2.538 2007 11 22.739 0.042 1 0 NaN NaN 25.510 0.144 2007 12 24.407 1.443 1 0 NaN NaN 26.513 0.880 2008 1 22.951 -0.181 1 0 NaN NaN 25.325 -0.477 2008 2 23.729 0.419 1 0 NaN NaN 25.681 -0.298 2008 3 22.463 -0.570 1 0 NaN NaN 25.921 0.219 2008 4 21.764 1.041 1 0 NaN NaN 23.917 0.525 2008 5 17.728 -0.679 1 0 NaN NaN 20.906 -0.171 2008 6 16.840 -0.510 1 0 NaN NaN 20.949 0.930 2008 7 18.837 1.589 1 0 NaN NaN 22.020 2.102 2008 8 20.823 1.693 1 0 NaN NaN 23.877 2.078 2008 9 19.506 -1.228 1 0 NaN NaN 23.177 -0.227 2008 10 23.011 1.203 1 0 NaN NaN 26.094 1.617 2008 11 24.123 1.426 1 0 NaN NaN 25.968 0.602 2008 12 25.025 2.061 0 2 25.025 2.061 26.578 0.944 2009 1 23.823 0.690 1 0 NaN NaN 25.365 -0.437 2009 2 24.511 1.201 1 0 NaN NaN 26.421 0.442 2009 3 23.914 0.881 0 0 23.914 0.881 26.994 1.291 2009 4 21.692 0.969 1 0 NaN NaN 24.713 1.321 2009 5 20.359 1.951 1 0 NaN NaN 22.109 1.033 2009 6 15.348 -2.001 0 0 15.348 -2.001 19.335 -0.684 2009 7 18.986 1.738 1 0 NaN NaN 20.309 0.392 2009 8 18.707 -0.423 1 0 NaN NaN 22.173 0.374 2009 9 21.934 1.200 1 0 NaN NaN 24.212 0.809 2009 10 22.425 0.617 1 0 NaN NaN 24.894 0.417 2009 11 25.400 2.702 1 0 NaN NaN 27.390 2.023 2009 12 23.878 0.914 1 0 NaN NaN 25.964 0.330 2010 1 24.528 1.395 1 0 NaN NaN 25.991 0.189 2010 2 25.313 2.003 0 0 25.313 2.003 27.086 1.107 2010 3 23.751 0.718 1 0 NaN NaN 26.396 0.693 2010 4 21.494 0.771 1 0 NaN NaN 23.962 0.570 2010 5 17.820 -0.588 1 0 NaN NaN 20.616 -0.460 2010 6 16.888 -0.461 1 0 NaN NaN 21.322 1.304 2010 7 18.733 1.485 1 0 NaN NaN 21.623 1.705 2010 8 18.219 -0.911 1 0 NaN NaN 22.549 0.749 2010 9 22.094 1.360 1 0 NaN NaN 25.047 1.644 2010 10 21.960 0.152 1 0 NaN NaN 24.221 -0.256 2010 11 24.387 1.690 1 0 NaN NaN 25.533 0.167 2010 12 24.812 1.848 1 0 NaN NaN 26.039 0.405 2011 1 24.995 1.862 1 0 NaN NaN 26.322 0.520 2011 2 24.294 0.985 0 0 24.294 0.985 26.199 0.220 2011 3 22.831 -0.202 1 0 NaN NaN 25.143 -0.560 2011 4 22.094 1.371 1 0 NaN NaN 24.316 0.923 2011 5 17.921 -0.486 1 0 NaN NaN 21.329 0.253 2011 6 15.708 -1.641 1 0 NaN NaN 20.069 0.050 2011 7 18.395 1.147 1 0 NaN NaN 21.939 2.022 2011 8 18.279 -0.851 1 0 NaN NaN 23.069 1.270 2011 9 21.852 1.117 1 0 NaN NaN 25.045 1.642 2011 10 22.244 0.436 1 0 NaN NaN 25.098 0.622 2011 11 23.320 0.623 1 0 NaN NaN 25.504 0.138 2011 12 24.628 1.664 1 0 NaN NaN 26.669 1.035 2012 1 23.401 0.269 1 0 NaN NaN 25.244 -0.558 2012 2 24.792 1.483 1 0 NaN NaN 27.245 1.266 2012 3 23.697 0.664 1 0 NaN NaN 26.429 0.727 2012 4 22.150 1.427 1 0 NaN NaN 24.457 1.065 2012 5 18.556 0.149 1 0 NaN NaN 21.382 0.306 2012 6 19.052 1.703 1 0 NaN NaN 21.170 1.151 2012 7 17.225 -0.023 1 0 NaN NaN 20.868 0.951 2012 8 20.148 1.018 1 0 NaN NaN 23.925 2.126 2012 9 NaN NaN NaN NaN NaN NaN 25.708 2.305 2012 10 NaN NaN NaN NaN NaN NaN 27.316 2.839 2012 11 NaN NaN NaN NaN NaN NaN 26.438 1.072 2012 12 NaN NaN NaN NaN NaN NaN 27.715 2.082 2013 1 NaN NaN NaN NaN NaN NaN 25.756 -0.046 2013 2 NaN NaN NaN NaN NaN NaN 26.011 0.032 2013 3 NaN NaN NaN NaN NaN NaN 25.802 0.099 2013 4 NaN NaN NaN NaN NaN NaN 23.269 -0.124 2013 5 NaN NaN NaN NaN NaN NaN 22.249 1.172 2013 6 NaN NaN NaN NaN NaN NaN 21.617 1.598 2013 7 NaN NaN NaN NaN NaN NaN 19.986 0.068 2013 8 NaN NaN NaN NaN NaN NaN 21.740 -0.059