% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22701 % Primary Name: STANDERTON % Record Type: TAVG % Country: South Africa % Latitude: -26.93300 +/- 0.00050 % Longitude: 29.21700 +/- 0.00050 % Elevation (m): 1581.00 +/- 0.05 % # of Months: 44 % % IDs: gsod - 685121-99999 % icao - FASR % usaf - 685121 % % Sources: Global Summary of the Day % % Site Hash: a2f6dd2519033434f798de677f15ef2d % Raw Data Hash: 9d2bcb473f7d868767b2470e9aeb55f0 % Adj Data Hash: 7dad5b1ed7114c789d1ff9e320b08aa6 % % 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 1 NaN NaN NaN NaN NaN NaN 19.949 0.162 2004 2 NaN NaN NaN NaN NaN NaN 19.232 -0.273 2004 3 NaN NaN NaN NaN NaN NaN 17.997 -0.298 2004 4 NaN NaN NaN NaN NaN NaN 15.409 0.444 2004 5 NaN NaN NaN NaN NaN NaN 12.258 0.731 2004 6 NaN NaN NaN NaN NaN NaN 8.084 -0.166 2004 7 NaN NaN NaN NaN NaN NaN 7.589 -0.926 2004 8 NaN NaN NaN NaN NaN NaN 12.688 1.335 2004 9 NaN NaN NaN NaN NaN NaN 14.155 -1.078 2004 10 NaN NaN NaN NaN NaN NaN 17.912 0.525 2004 11 NaN NaN NaN NaN NaN NaN 20.568 2.233 2004 12 NaN NaN NaN NaN NaN NaN 19.578 0.334 2005 1 18.416 0.694 0 0 19.188 1.466 20.261 0.474 2005 2 17.804 0.364 0 0 18.576 1.136 20.154 0.649 2005 3 15.423 -0.807 0 0 16.195 -0.035 18.129 -0.167 2005 4 12.485 -0.415 0 0 13.257 0.357 14.868 -0.097 2005 5 9.572 0.111 0 0 10.344 0.883 12.703 1.177 2005 6 7.607 1.423 0 0 8.379 2.195 10.584 2.335 2005 7 6.346 -0.103 0 0 7.118 0.669 9.719 1.204 2005 8 10.812 1.524 0 0 11.584 2.296 13.597 2.244 2005 9 14.454 1.286 0 0 15.226 2.059 17.721 2.488 2005 10 15.475 0.153 0 0 16.247 0.926 19.004 1.617 2005 11 15.990 -0.279 0 0 16.762 0.493 19.126 0.791 2005 12 16.559 -0.620 0 0 17.331 0.152 19.287 0.043 2006 1 16.817 -0.904 0 0 17.589 -0.132 19.629 -0.158 2006 2 16.712 -0.727 0 0 17.484 0.045 19.474 -0.031 2006 3 13.824 -2.406 0 0 14.596 -1.634 17.157 -1.139 2006 4 12.721 -0.179 1 0 NaN NaN 14.668 -0.298 2006 5 6.487 -2.974 1 0 NaN NaN 10.062 -1.464 2006 6 5.519 -0.666 0 0 6.291 0.106 8.298 0.049 2006 7 7.265 0.816 0 0 8.037 1.588 10.464 1.949 2006 8 7.176 -2.112 0 0 7.948 -1.340 10.108 -1.245 2006 9 11.791 -1.377 0 0 12.563 -0.604 15.061 -0.171 2006 10 15.817 0.496 0 0 16.589 1.268 18.809 1.422 2006 11 15.844 -0.425 0 0 16.617 0.347 18.445 0.110 2006 12 17.986 0.807 0 0 18.758 1.579 20.575 1.330 2007 1 17.765 0.044 0 0 18.537 0.816 20.580 0.793 2007 2 20.790 3.351 1 0 NaN NaN 21.304 1.800 2007 3 16.983 0.753 1 0 NaN NaN 19.989 1.693 2007 4 14.699 1.799 0 4 13.515 0.615 15.736 0.771 2007 5 10.486 1.025 0 0 9.302 -0.159 11.857 0.331 2007 6 8.397 2.212 1 0 NaN NaN 8.732 0.482 2007 7 7.561 1.112 0 0 6.377 -0.072 8.668 0.153 2007 8 10.833 1.546 0 0 9.649 0.362 11.743 0.390 2007 9 16.926 3.759 0 0 15.742 2.575 18.167 2.935 2007 10 15.248 -0.073 0 0 14.064 -1.257 16.057 -1.330 2007 11 17.756 1.486 0 0 16.572 0.302 18.641 0.306 2007 12 18.299 1.120 0 0 17.115 -0.064 18.889 -0.356 2008 1 19.464 1.743 0 0 18.280 0.559 19.085 -0.702 2008 2 18.921 1.481 0 0 17.737 0.298 19.765 0.260 2008 3 16.747 0.517 0 0 15.563 -0.667 17.781 -0.515 2008 4 13.394 0.494 0 0 12.211 -0.689 14.035 -0.931 2008 5 11.633 2.172 0 0 10.449 0.988 12.286 0.759 2008 6 8.622 2.438 0 0 7.438 1.254 9.029 0.779 2008 7 8.033 1.584 0 0 6.849 0.400 9.079 0.564 2008 8 10.904 1.616 1 0 NaN NaN 12.826 1.473 2008 9 NaN NaN NaN NaN NaN NaN 15.885 0.652 2008 10 NaN NaN NaN NaN NaN NaN 19.138 1.751 2008 11 NaN NaN NaN NaN NaN NaN 19.355 1.020 2008 12 NaN NaN NaN NaN NaN NaN 20.506 1.262 2009 1 NaN NaN NaN NaN NaN NaN 20.158 0.371 2009 2 NaN NaN NaN NaN NaN NaN 19.115 -0.390 2009 3 NaN NaN NaN NaN NaN NaN 18.149 -0.147 2009 4 NaN NaN NaN NaN NaN NaN 15.309 0.344 2009 5 NaN NaN NaN NaN NaN NaN 11.682 0.156 2009 6 NaN NaN NaN NaN NaN NaN 9.265 1.016 2009 7 NaN NaN NaN NaN NaN NaN 7.408 -1.107 2009 8 NaN NaN NaN NaN NaN NaN 10.879 -0.474