% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159271 % Primary Name: PIGGS PEAK % Record Type: TAVG % Country: Swaziland % Latitude: -25.96700 +/- 0.00050 % Longitude: 31.25000 +/- 0.00050 % Elevation (m): 1099.00 +/- 0.05 % # of Months: 58 % % IDs: gsod - 682990-99999 % icao - FDPP % usaf - 682990 % wmo - 68299 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 6739e83760dc7ef847f8778f9ab23dcb % Raw Data Hash: a1e6ec0a5d9b32601c5ef9a97b5019c4 % Adj Data Hash: c980d149c145ca5ed849137716a3e439 % % 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 3 NaN NaN NaN NaN NaN NaN 17.827 -0.859 2006 4 NaN NaN NaN NaN NaN NaN 15.912 -0.116 2006 5 NaN NaN NaN NaN NaN NaN 11.928 -1.280 2006 6 NaN NaN NaN NaN NaN NaN 10.054 -0.286 2006 7 NaN NaN NaN NaN NaN NaN 12.394 1.857 2006 8 NaN NaN NaN NaN NaN NaN 12.099 -0.836 2006 9 NaN NaN NaN NaN NaN NaN 15.825 0.029 2006 10 NaN NaN NaN NaN NaN NaN 18.722 1.347 2006 11 NaN NaN NaN NaN NaN NaN 18.766 0.446 2006 12 NaN NaN NaN NaN NaN NaN 20.652 1.363 2007 1 NaN NaN NaN NaN NaN NaN 20.596 0.799 2007 2 NaN NaN NaN NaN NaN NaN 21.157 1.564 2007 3 20.495 1.220 1 0 NaN NaN 20.166 1.480 2007 4 18.430 1.813 0 0 17.606 0.989 16.455 0.427 2007 5 19.028 5.232 1 0 NaN NaN 13.559 0.351 2007 6 14.615 3.687 0 0 13.791 2.863 10.834 0.495 2007 7 14.707 3.582 0 0 13.884 2.759 11.034 0.497 2007 8 16.846 3.324 0 0 16.022 2.500 13.854 0.920 2007 9 19.350 2.965 0 0 18.526 2.142 18.406 2.610 2007 10 17.108 -0.856 0 0 16.284 -1.680 16.517 -0.858 2007 11 19.513 0.604 0 0 18.689 -0.220 18.584 0.263 2007 12 19.168 -0.709 0 0 18.345 -1.533 18.703 -0.586 2008 1 19.891 -0.495 0 0 19.067 -1.319 19.186 -0.611 2008 2 20.454 0.272 0 0 19.630 -0.552 19.872 0.278 2008 3 19.345 0.070 0 0 18.521 -0.754 18.571 -0.115 2008 4 17.130 0.513 0 0 16.306 -0.311 15.095 -0.933 2008 5 16.218 2.422 1 0 NaN NaN 13.963 0.755 2008 6 NaN NaN NaN NaN NaN NaN 10.939 0.600 2008 7 NaN NaN NaN NaN NaN NaN 11.550 1.013 2008 8 17.247 3.724 0 0 16.423 2.900 14.503 1.569 2008 9 17.360 0.976 0 0 16.536 0.152 16.365 0.569 2008 10 18.287 0.323 0 0 17.463 -0.500 18.399 1.024 2008 11 19.130 0.220 0 0 18.306 -0.603 19.135 0.815 2008 12 20.192 0.315 0 0 19.369 -0.509 20.019 0.730 2009 1 21.190 0.805 1 0 NaN NaN 20.307 0.510 2009 2 19.989 -0.193 0 0 19.166 -1.017 19.394 -0.199 2009 3 NaN NaN NaN NaN NaN NaN 18.536 -0.150 2009 4 NaN NaN NaN NaN NaN NaN 16.112 0.084 2009 5 17.213 3.417 1 0 NaN NaN 13.820 0.612 2009 6 15.730 4.802 0 0 14.906 3.978 11.680 1.340 2009 7 14.092 2.967 1 0 NaN NaN 9.777 -0.760 2009 8 NaN NaN NaN NaN NaN NaN 12.755 -0.180 2009 9 NaN NaN NaN NaN NaN NaN 17.046 1.249 2009 10 NaN NaN NaN NaN NaN NaN 17.617 0.242 2009 11 NaN NaN NaN NaN NaN NaN 17.425 -0.895 2009 12 NaN NaN NaN NaN NaN NaN 20.300 1.011 2010 1 NaN NaN NaN NaN NaN NaN 19.654 -0.143 2010 2 NaN NaN NaN NaN NaN NaN 20.487 0.893 2010 3 NaN NaN NaN NaN NaN NaN 19.908 1.221 2010 4 NaN NaN NaN NaN NaN NaN 16.687 0.658 2010 5 NaN NaN NaN NaN NaN NaN 15.098 1.890 2010 6 NaN NaN NaN NaN NaN NaN 10.821 0.481 2010 7 NaN NaN NaN NaN NaN NaN 11.334 0.797 2010 8 20.018 6.495 1 0 NaN NaN 13.195 0.261 2010 9 18.667 2.282 0 2 19.378 2.994 17.652 1.856 2010 10 18.739 0.776 0 0 19.450 1.487 18.266 0.891 2010 11 23.106 4.196 1 0 NaN NaN 18.933 0.612 2010 12 23.621 3.743 1 0 NaN NaN 19.382 0.093 2011 1 NaN NaN NaN NaN NaN NaN 19.249 -0.548 2011 2 NaN NaN NaN NaN NaN NaN 19.692 0.098 2011 3 NaN NaN NaN NaN NaN NaN 20.695 2.008 2011 4 16.757 0.140 1 0 NaN NaN 15.814 -0.214 2011 5 17.261 3.465 0 0 17.973 4.177 14.228 1.020 2011 6 14.369 3.440 0 0 15.080 4.152 10.821 0.481 2011 7 11.152 0.027 0 0 11.864 0.739 9.599 -0.938 2011 8 12.024 -1.499 0 0 12.736 -0.787 12.185 -0.749 2011 9 14.748 -1.636 0 0 15.460 -0.925 17.171 1.375 2011 10 16.182 -1.781 0 0 16.894 -1.070 18.208 0.834 2011 11 17.218 -1.691 0 0 17.930 -0.980 19.524 1.203 2011 12 14.924 -4.954 1 0 NaN NaN 19.535 0.246 2012 1 18.102 -2.284 0 0 18.813 -1.572 20.121 0.324 2012 2 20.177 -0.005 0 0 20.888 0.706 20.953 1.359 2012 3 19.045 -0.230 0 0 19.756 0.481 19.372 0.686 2012 4 14.873 -1.744 1 0 NaN NaN 15.406 -0.623 2012 5 15.505 1.709 0 0 16.217 2.421 15.024 1.816 2012 6 13.593 2.664 0 0 14.304 3.376 11.373 1.034 2012 7 14.014 2.889 0 0 14.725 3.600 12.183 1.646 2012 8 15.780 2.257 0 0 16.491 2.969 14.584 1.650 2012 9 14.700 -1.684 0 0 15.412 -0.973 15.350 -0.446 2012 10 16.844 -1.119 0 0 17.556 -0.407 17.854 0.479 2012 11 16.627 -2.282 0 0 17.339 -1.571 18.387 0.066 2012 12 8.207 -11.671 1 0 NaN NaN 19.521 0.232 2013 1 NaN NaN NaN NaN NaN NaN 19.913 0.116 2013 2 NaN NaN NaN NaN NaN NaN 20.341 0.747 2013 3 NaN NaN NaN NaN NaN NaN 19.048 0.362 2013 4 NaN NaN NaN NaN NaN NaN 15.436 -0.593 2013 5 17.109 3.313 1 0 NaN NaN 13.652 0.445 2013 6 14.453 3.524 1 0 NaN NaN 11.882 1.543 2013 7 11.306 0.181 0 0 12.017 0.892 11.856 1.319 2013 8 11.209 -2.314 0 0 11.920 -1.602 13.242 0.308 2013 9 14.317 -2.067 0 0 15.029 -1.356 17.384 1.588 2013 10 12.389 -5.574 1 0 NaN NaN 16.872 -0.502 2013 11 17.882 -1.028 1 0 NaN NaN NaN NaN