% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22749 % Primary Name: KRUGER MPUMALANGA I % Record Type: TAVG % Country: South Africa % Latitude: -25.43300 +/- 0.00050 % Longitude: 31.10000 +/- 0.00050 % Elevation (m): 862.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 682904-99999 % icao - FAKN % usaf - 682904 % % Sources: Global Summary of the Day % % Site Hash: fe296c46c2f2f01545f5d821efe27aad % Raw Data Hash: 0aff41251891a3ea030f0ab2699c84ee % Adj Data Hash: 368ade936963feb28a3291325531f3b7 % % 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 2005 9 NaN NaN NaN NaN NaN NaN 23.076 1.862 2005 10 NaN NaN NaN NaN NaN NaN 24.597 1.449 2005 11 NaN NaN NaN NaN NaN NaN 25.453 0.912 2005 12 NaN NaN NaN NaN NaN NaN 24.801 -0.792 2006 1 NaN NaN NaN NaN NaN NaN 26.551 0.272 2006 2 NaN NaN NaN NaN NaN NaN 26.955 0.821 2006 3 NaN NaN NaN NaN NaN NaN 24.277 -0.834 2006 4 NaN NaN NaN NaN NaN NaN 22.387 -0.145 2006 5 NaN NaN NaN NaN NaN NaN 18.471 -0.939 2006 6 NaN NaN NaN NaN NaN NaN 16.557 0.149 2006 7 NaN NaN NaN NaN NaN NaN 17.572 1.267 2006 8 NaN NaN NaN NaN NaN NaN 18.296 -0.250 2006 9 23.726 6.114 1 0 NaN NaN 21.074 -0.140 2006 10 NaN NaN NaN NaN NaN NaN 24.457 1.309 2006 11 NaN NaN NaN NaN NaN NaN 24.931 0.391 2006 12 26.032 4.040 1 0 NaN NaN 27.116 1.522 2007 1 NaN NaN NaN NaN NaN NaN 26.784 0.505 2007 2 NaN NaN NaN NaN NaN NaN 27.338 1.204 2007 3 NaN NaN NaN NaN NaN NaN 26.344 1.233 2007 4 NaN NaN NaN NaN NaN NaN 22.853 0.322 2007 5 NaN NaN NaN NaN NaN NaN 19.418 0.007 2007 6 NaN NaN NaN NaN NaN NaN 16.987 0.580 2007 7 NaN NaN NaN NaN NaN NaN 16.377 0.071 2007 8 NaN NaN NaN NaN NaN NaN 19.201 0.655 2007 9 NaN NaN NaN NaN NaN NaN 22.957 1.743 2007 10 NaN NaN NaN NaN NaN NaN 22.544 -0.604 2007 11 NaN NaN NaN NaN NaN NaN 24.660 0.119 2007 12 NaN NaN NaN NaN NaN NaN 24.494 -1.099 2008 1 NaN NaN NaN NaN NaN NaN 25.454 -0.826 2008 2 22.651 0.119 1 0 NaN NaN 26.419 0.285 2008 3 20.762 -0.747 0 0 20.762 -0.747 25.417 0.306 2008 4 17.989 -0.941 0 0 17.989 -0.941 21.657 -0.875 2008 5 17.125 1.317 0 0 17.125 1.317 20.277 0.866 2008 6 15.076 2.270 0 0 15.076 2.270 17.123 0.716 2008 7 15.577 2.873 0 0 15.577 2.873 17.797 1.492 2008 8 17.145 2.201 0 0 17.145 2.201 20.159 1.613 2008 9 18.520 0.909 0 0 18.520 0.909 21.809 0.596 2008 10 19.710 0.164 0 0 19.710 0.164 23.627 0.479 2008 11 20.396 -0.543 0 0 20.396 -0.543 24.736 0.195 2008 12 21.498 -0.493 0 0 21.498 -0.493 25.873 0.279 2009 1 22.283 -0.394 0 0 22.283 -0.394 26.728 0.449 2009 2 21.565 -0.966 0 0 21.565 -0.966 26.262 0.128 2009 3 20.129 -1.380 0 0 20.129 -1.380 24.768 -0.343 2009 4 18.533 -0.397 0 0 18.533 -0.397 22.437 -0.095 2009 5 16.993 1.184 0 0 16.993 1.184 20.321 0.910 2009 6 15.635 2.830 0 0 15.635 2.830 18.137 1.729 2009 7 13.599 0.895 0 0 13.599 0.895 16.266 -0.040 2009 8 15.900 0.956 0 0 15.900 0.956 18.933 0.387 2009 9 19.578 1.966 0 0 19.578 1.966 22.309 1.095 2009 10 19.659 0.114 0 0 19.659 0.114 23.379 0.231 2009 11 19.567 -1.372 0 0 19.567 -1.372 23.727 -0.814 2009 12 22.493 0.501 0 0 22.493 0.501 26.557 0.964 2010 1 22.204 -0.473 0 0 22.204 -0.473 26.442 0.163 2010 2 23.028 0.496 0 0 23.028 0.496 27.288 1.154 2010 3 21.823 0.313 0 0 21.823 0.313 26.318 1.207 2010 4 19.413 0.483 0 0 19.413 0.483 23.052 0.521 2010 5 17.846 2.037 0 0 17.846 2.037 21.257 1.846 2010 6 14.880 2.074 0 0 14.880 2.074 16.974 0.567 2010 7 14.699 1.995 0 0 14.699 1.995 16.977 0.671 2010 8 16.330 1.386 0 0 16.330 1.386 18.731 0.185 2010 9 19.743 2.131 0 0 19.743 2.131 22.814 1.600 2010 10 20.242 0.696 0 0 20.242 0.696 24.479 1.331 2010 11 20.839 -0.100 0 0 20.839 -0.100 25.172 0.631 2010 12 21.453 -0.538 0 0 21.453 -0.538 25.625 0.031 2011 1 21.778 -0.899 0 0 21.778 -0.899 26.071 -0.208 2011 2 21.075 -1.457 0 0 21.075 -1.457 26.081 -0.053 2011 3 22.235 0.726 0 0 22.235 0.726 27.021 1.910 2011 4 18.433 -0.497 0 0 18.433 -0.497 22.320 -0.212 2011 5 17.591 1.783 0 0 17.591 1.783 20.502 1.092 2011 6 14.885 2.080 0 0 14.885 2.080 17.074 0.666 2011 7 13.228 0.524 0 0 13.228 0.524 15.547 -0.759 2011 8 15.339 0.395 0 0 15.339 0.395 17.895 -0.651 2011 9 19.600 1.988 0 0 19.600 1.988 22.407 1.193 2011 10 19.444 -0.101 0 0 19.444 -0.101 23.357 0.210 2011 11 21.043 0.104 0 0 21.043 0.104 25.259 0.718 2011 12 20.860 -1.131 0 0 20.860 -1.131 25.466 -0.127 2012 1 21.351 -1.326 0 0 21.351 -1.326 26.218 -0.061 2012 2 22.370 -0.162 0 0 22.370 -0.162 27.067 0.933 2012 3 21.082 -0.427 0 0 21.082 -0.427 25.853 0.742 2012 4 17.811 -1.119 0 0 17.811 -1.119 21.720 -0.812 2012 5 17.690 1.881 0 0 17.690 1.881 20.936 1.525 2012 6 15.015 2.209 0 0 15.015 2.209 17.764 1.356 2012 7 15.322 2.618 0 0 15.322 2.618 17.740 1.435 2012 8 17.668 2.724 0 0 17.668 2.724 20.139 1.593 2012 9 17.189 -0.423 0 0 17.189 -0.423 21.042 -0.172 2012 10 19.011 -0.535 0 0 19.011 -0.535 23.489 0.341 2012 11 19.470 -1.469 0 0 19.470 -1.469 24.245 -0.296 2012 12 21.023 -0.968 0 0 21.023 -0.968 25.745 0.151 2013 1 21.928 -0.749 0 0 21.928 -0.749 26.086 -0.193 2013 2 21.518 -1.014 0 0 21.518 -1.014 26.315 0.181 2013 3 20.332 -1.178 0 0 20.332 -1.178 24.897 -0.214 2013 4 18.291 -0.639 0 0 18.291 -0.639 21.844 -0.687 2013 5 17.281 1.473 0 0 17.281 1.473 19.492 0.081 2013 6 16.672 3.867 0 0 16.672 3.867 18.021 1.614 2013 7 15.387 2.683 0 0 15.387 2.683 17.667 1.362 2013 8 16.611 1.667 0 0 16.611 1.667 19.649 1.103 2013 9 19.731 2.120 0 0 19.731 2.120 22.740 1.526 2013 10 18.274 -1.271 0 0 18.274 -1.271 22.604 -0.543 2013 11 21.168 0.229 1 0 NaN NaN NaN NaN