% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159265 % Primary Name: BIG BEND % Record Type: TAVG % Country: Swaziland % Latitude: -26.85000 +/- 0.00050 % Longitude: 31.91700 +/- 0.00050 % Elevation (m): 94.00 +/- 0.05 % # of Months: 60 % % IDs: gsod - 683990-99999 % icao - FDBB % usaf - 683990 % wmo - 68399 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: aed854e49adba12c2b067309e09ec006 % Raw Data Hash: f8b5b75cd53ad3cc6227446893cac881 % Adj Data Hash: 978b031747770dbf0b06e45d52daa551 % % 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 23.756 -0.643 2006 4 NaN NaN NaN NaN NaN NaN 21.970 -0.126 2006 5 NaN NaN NaN NaN NaN NaN 18.740 -0.923 2006 6 NaN NaN NaN NaN NaN NaN 17.018 -0.162 2006 7 NaN NaN NaN NaN NaN NaN 18.439 1.345 2006 8 NaN NaN NaN NaN NaN NaN 18.269 -0.506 2006 9 NaN NaN NaN NaN NaN NaN 20.659 -0.027 2006 10 NaN NaN NaN NaN NaN NaN 23.356 1.276 2006 11 NaN NaN NaN NaN NaN NaN 24.147 0.685 2006 12 NaN NaN NaN NaN NaN NaN 26.166 1.469 2007 1 NaN NaN NaN NaN NaN NaN 26.306 0.899 2007 2 NaN NaN NaN NaN NaN NaN 26.684 1.413 2007 3 23.099 -0.451 1 0 NaN NaN 25.765 1.367 2007 4 18.226 -3.021 0 0 18.139 -3.108 22.440 0.343 2007 5 15.778 -3.036 0 0 15.691 -3.123 19.919 0.256 2007 6 13.286 -3.045 0 0 13.199 -3.132 17.598 0.417 2007 7 10.855 -5.390 1 0 NaN NaN 17.627 0.533 2007 8 6.793 -11.131 1 0 NaN NaN 19.815 1.040 2007 9 NaN NaN NaN NaN NaN NaN 22.534 1.848 2007 10 22.523 1.293 0 0 22.436 1.206 21.911 -0.169 2007 11 23.674 1.062 0 0 23.587 0.975 23.727 0.265 2007 12 24.448 0.600 0 0 24.361 0.513 24.045 -0.652 2008 1 25.656 1.099 0 0 25.569 1.012 25.025 -0.382 2008 2 26.297 1.876 0 0 26.210 1.789 25.736 0.465 2008 3 24.623 1.074 0 0 24.536 0.987 24.723 0.324 2008 4 20.754 -0.493 0 0 20.667 -0.580 21.270 -0.827 2008 5 19.063 0.249 0 0 18.976 0.162 20.408 0.745 2008 6 15.657 -0.673 0 0 15.570 -0.760 17.294 0.114 2008 7 15.846 -0.399 0 0 15.759 -0.486 18.253 1.158 2008 8 18.258 0.333 0 0 18.171 0.246 20.228 1.453 2008 9 19.126 -0.710 0 0 19.039 -0.798 21.029 0.343 2008 10 21.790 0.560 0 0 21.703 0.473 22.351 0.271 2008 11 24.630 2.018 0 0 24.543 1.931 23.981 0.520 2008 12 26.348 2.500 1 0 NaN NaN 25.145 0.448 2009 1 26.801 2.244 0 0 26.713 2.156 25.835 0.428 2009 2 25.370 0.949 0 0 25.283 0.861 25.313 0.043 2009 3 24.044 0.495 0 0 23.957 0.408 24.332 -0.066 2009 4 22.407 1.160 0 0 22.320 1.073 22.149 0.052 2009 5 20.559 1.746 1 0 NaN NaN 20.567 0.904 2009 6 17.214 0.884 1 0 NaN NaN 18.765 1.585 2009 7 16.063 -0.182 1 0 NaN NaN 16.900 -0.194 2009 8 18.167 0.242 1 0 NaN NaN 18.864 0.089 2009 9 NaN NaN NaN NaN NaN NaN 21.620 0.934 2009 10 NaN NaN NaN NaN NaN NaN 22.123 0.043 2009 11 NaN NaN NaN NaN NaN NaN 22.434 -1.027 2009 12 NaN NaN NaN NaN NaN NaN 25.633 0.936 2010 1 NaN NaN NaN NaN NaN NaN 25.461 0.054 2010 2 26.115 1.694 1 0 NaN NaN 26.367 1.097 2010 3 26.353 2.804 0 0 26.266 2.717 25.560 1.161 2010 4 21.754 0.507 1 0 NaN NaN 22.623 0.527 2010 5 NaN NaN NaN NaN NaN NaN 21.697 2.034 2010 6 NaN NaN NaN NaN NaN NaN 17.828 0.648 2010 7 NaN NaN NaN NaN NaN NaN 17.819 0.725 2010 8 22.123 4.198 1 0 NaN NaN 18.860 0.086 2010 9 22.216 2.379 1 0 NaN NaN 22.498 1.812 2010 10 NaN NaN NaN NaN NaN NaN 22.859 0.780 2010 11 NaN NaN NaN NaN NaN NaN 24.256 0.795 2010 12 NaN NaN NaN NaN NaN NaN 24.655 -0.042 2011 1 NaN NaN NaN NaN NaN NaN 25.234 -0.172 2011 2 NaN NaN NaN NaN NaN NaN 25.416 0.145 2011 3 NaN NaN NaN NaN NaN NaN 26.680 2.281 2011 4 21.528 0.281 0 2 21.640 0.394 22.112 0.015 2011 5 19.060 0.246 0 0 19.173 0.359 20.913 1.249 2011 6 15.133 -1.197 0 0 15.246 -1.085 17.766 0.586 2011 7 14.642 -1.603 0 0 14.754 -1.491 16.441 -0.653 2011 8 16.919 -1.006 0 0 17.031 -0.894 18.073 -0.701 2011 9 21.312 1.475 0 0 21.424 1.587 21.999 1.312 2011 10 23.403 2.172 0 0 23.515 2.285 22.597 0.517 2011 11 25.067 2.455 0 0 25.180 2.568 24.242 0.781 2011 12 24.802 0.954 0 0 24.915 1.067 24.624 -0.073 2012 1 26.813 2.256 1 0 NaN NaN 25.796 0.390 2012 2 NaN NaN NaN NaN NaN NaN 26.246 0.976 2012 3 NaN NaN NaN NaN NaN NaN 24.887 0.488 2012 4 NaN NaN NaN NaN NaN NaN 21.365 -0.731 2012 5 NaN NaN NaN NaN NaN NaN 21.340 1.676 2012 6 NaN NaN NaN NaN NaN NaN 18.696 1.516 2012 7 17.175 0.930 1 0 NaN NaN 18.718 1.624 2012 8 17.831 -0.093 0 0 17.944 0.019 20.217 1.442 2012 9 19.190 -0.647 0 0 19.302 -0.535 20.395 -0.292 2012 10 21.648 0.418 0 0 21.761 0.530 22.573 0.493 2012 11 23.148 0.536 1 0 NaN NaN 23.055 -0.406 2012 12 25.724 1.876 0 0 25.837 1.989 25.065 0.368 2013 1 26.233 1.676 0 0 26.346 1.789 25.491 0.084 2013 2 26.605 2.184 0 0 26.718 2.297 25.642 0.371 2013 3 23.113 -0.436 0 0 23.226 -0.324 24.437 0.038 2013 4 17.898 -3.349 1 0 NaN NaN 21.260 -0.837 2013 5 15.448 -3.366 0 0 15.561 -3.253 19.685 0.022 2013 6 14.116 -2.214 1 0 NaN NaN 18.467 1.287 2013 7 NaN NaN NaN NaN NaN NaN 18.074 0.979 2013 8 18.836 0.911 1 0 NaN NaN 19.589 0.815 2013 9 15.940 -3.897 1 0 NaN NaN 22.071 1.385 2013 10 14.487 -6.744 1 0 NaN NaN 21.714 -0.366 2013 11 14.437 -8.175 1 0 NaN NaN NaN NaN