% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22652 % Primary Name: KING SHAKA INTL ARPT % Record Type: TAVG % Country: South Africa % Latitude: -29.62500 +/- 0.00850 % Longitude: 31.12500 +/- 0.00850 % Elevation (m): 127.00 +/- 0.05 % # of Months: 44 % % IDs: gsod - 681715-99999 % gsod - 685920-99999 % icao - FALE % usaf - 681715 % usaf - 685920 % % Sources: Global Summary of the Day % % Site Hash: d7ad9697134b14244ea80c63d91673d0 % Raw Data Hash: 43fb7f1a6778daa91178ace99f8ed9e5 % Adj Data Hash: 9712867405c8ab7dad87b49ecab782ef % % 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 2009 4 NaN NaN NaN NaN NaN NaN 21.292 0.033 2009 5 NaN NaN NaN NaN NaN NaN 20.580 0.827 2009 6 NaN NaN NaN NaN NaN NaN 19.086 1.032 2009 7 NaN NaN NaN NaN NaN NaN 17.041 -0.811 2009 8 NaN NaN NaN NaN NaN NaN 18.380 0.125 2009 9 NaN NaN NaN NaN NaN NaN 19.187 0.216 2009 10 NaN NaN NaN NaN NaN NaN 19.918 0.446 2009 11 NaN NaN NaN NaN NaN NaN 20.449 -0.131 2009 12 NaN NaN NaN NaN NaN NaN 22.034 0.142 2010 1 NaN NaN NaN NaN NaN NaN 23.364 0.502 2010 2 NaN NaN NaN NaN NaN NaN 24.931 1.663 2010 3 NaN NaN NaN NaN NaN NaN 24.163 1.172 2010 4 19.000 -1.211 1 0 NaN NaN 22.494 1.236 2010 5 20.109 1.404 1 0 NaN NaN 21.829 2.076 2010 6 16.972 -0.034 0 0 16.972 -0.034 18.382 0.328 2010 7 17.605 0.801 0 0 17.605 0.801 18.860 1.008 2010 8 17.851 0.644 0 0 17.851 0.644 19.004 0.750 2010 9 19.880 1.957 0 0 19.880 1.957 20.780 1.809 2010 10 20.159 1.736 0 0 20.159 1.736 20.321 0.850 2010 11 21.741 2.209 0 0 21.741 2.209 21.656 1.077 2010 12 22.378 1.533 0 0 22.378 1.533 22.257 0.364 2011 1 23.649 1.835 0 0 23.649 1.835 23.331 0.470 2011 2 23.984 1.764 0 0 23.984 1.764 23.977 0.710 2011 3 24.203 2.260 0 0 24.203 2.260 25.078 2.087 2011 4 20.487 0.276 0 0 20.487 0.276 20.994 -0.265 2011 5 18.430 -0.275 0 0 18.430 -0.275 20.197 0.444 2011 6 15.389 -1.617 0 0 15.389 -1.617 17.467 -0.587 2011 7 14.382 -2.422 0 0 14.382 -2.422 16.486 -1.366 2011 8 15.964 -1.243 0 0 15.964 -1.243 17.672 -0.583 2011 9 18.774 0.851 0 0 18.774 0.851 20.030 1.060 2011 10 19.351 0.928 0 0 19.351 0.928 20.279 0.807 2011 11 20.343 0.811 0 0 20.343 0.811 20.667 0.087 2011 12 22.367 1.523 0 0 22.367 1.523 22.449 0.556 2012 1 24.142 2.328 0 0 24.142 2.328 24.338 1.477 2012 2 24.059 1.840 0 0 24.059 1.840 24.724 1.456 2012 3 22.790 0.848 0 0 22.790 0.848 23.898 0.908 2012 4 19.239 -0.972 0 0 19.239 -0.972 20.565 -0.694 2012 5 18.654 -0.051 0 0 18.654 -0.051 20.987 1.234 2012 6 15.889 -1.117 0 0 15.889 -1.117 18.483 0.428 2012 7 15.353 -1.451 0 0 15.353 -1.451 18.051 0.199 2012 8 17.308 0.102 0 0 17.308 0.102 19.358 1.104 2012 9 17.698 -0.225 0 0 17.698 -0.225 18.818 -0.153 2012 10 19.448 1.024 0 0 19.448 1.024 19.965 0.493 2012 11 20.206 0.674 0 0 20.206 0.674 20.711 0.132 2012 12 23.036 2.191 0 0 23.036 2.191 23.064 1.172 2013 1 23.478 1.665 0 0 23.478 1.665 23.419 0.558 2013 2 23.413 1.193 0 0 23.413 1.193 23.743 0.475 2013 3 22.147 0.204 0 0 22.147 0.204 23.167 0.177 2013 4 19.631 -0.580 0 0 19.631 -0.580 20.699 -0.560 2013 5 17.910 -0.795 0 0 17.910 -0.795 19.624 -0.129 2013 6 16.204 -0.803 0 0 16.204 -0.803 18.023 -0.031 2013 7 16.199 -0.605 0 0 16.199 -0.605 18.431 0.579 2013 8 16.851 -0.355 0 0 16.851 -0.355 18.807 0.552 2013 9 18.126 0.203 0 0 18.126 0.203 19.133 0.162 2013 10 18.824 0.401 0 0 18.824 0.401 19.583 0.112 2013 11 21.387 1.856 1 0 NaN NaN NaN NaN