% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 18441 % Primary Name: ONDANGWA % Record Type: TAVG % Country: Namibia % Latitude: -17.88300 +/- 0.00050 % Longitude: 15.95000 +/- 0.00050 % Elevation (m): 1097.00 +/- 0.05 % # of Months: 88 % % IDs: gsod - 680130-99999 % icao - FYOA % usaf - 680130 % % Sources: Global Summary of the Day % % Site Hash: 009181405ff265c94087ecfd21b0ba56 % Raw Data Hash: a935cd37568c32dd12239ea7be729d74 % Adj Data Hash: 4b5334efa666912dac9234a1ee9866fb % % 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 25.130 0.159 2004 2 NaN NaN NaN NaN NaN NaN 26.158 1.867 2004 3 NaN NaN NaN NaN NaN NaN 26.492 2.317 2004 4 NaN NaN NaN NaN NaN NaN 24.793 1.915 2004 5 NaN NaN NaN NaN NaN NaN 21.883 1.637 2004 6 NaN NaN NaN NaN NaN NaN 18.937 1.201 2004 7 NaN NaN NaN NaN NaN NaN 18.189 0.451 2004 8 NaN NaN NaN NaN NaN NaN 22.148 1.870 2004 9 NaN NaN NaN NaN NaN NaN 24.466 0.526 2004 10 NaN NaN NaN NaN NaN NaN 26.718 0.925 2004 11 NaN NaN NaN NaN NaN NaN 26.845 0.926 2004 12 NaN NaN NaN NaN NaN NaN 26.956 1.382 2005 1 26.014 0.034 0 0 25.534 -0.447 24.965 -0.005 2005 2 26.210 0.909 0 0 25.729 0.428 24.970 0.679 2005 3 26.433 1.248 1 0 NaN NaN 24.988 0.813 2005 4 25.816 1.928 0 0 25.336 1.448 24.075 1.198 2005 5 23.462 2.207 0 0 22.982 1.726 21.445 1.199 2005 6 19.867 1.120 0 0 19.387 0.640 18.556 0.820 2005 7 20.163 1.414 1 0 NaN NaN 19.828 2.090 2005 8 22.473 1.185 0 0 21.993 0.705 20.710 0.432 2005 9 25.531 0.582 0 0 25.051 0.101 24.206 0.266 2005 10 29.462 2.659 0 0 28.982 2.179 27.427 1.634 2005 11 29.424 2.496 0 0 28.944 2.015 27.328 1.410 2005 12 29.304 2.719 1 0 NaN NaN 26.952 1.378 2006 1 25.162 -0.819 1 0 NaN NaN 23.707 -1.263 2006 2 24.557 -0.744 1 0 NaN NaN 23.109 -1.181 2006 3 25.408 0.223 1 0 NaN NaN 22.951 -1.224 2006 4 24.637 0.749 1 0 NaN NaN 22.226 -0.652 2006 5 20.857 -0.399 1 0 NaN NaN 18.891 -1.354 2006 6 19.083 0.337 1 0 NaN NaN 18.191 0.455 2006 7 19.071 0.322 1 0 NaN NaN 18.598 0.860 2006 8 18.833 -2.455 1 0 NaN NaN 19.540 -0.738 2006 9 NaN NaN NaN NaN NaN NaN 24.482 0.542 2006 10 26.074 -0.730 1 0 NaN NaN 25.286 -0.507 2006 11 28.379 1.451 0 0 27.899 0.971 26.348 0.430 2006 12 29.027 2.442 1 0 NaN NaN 25.941 0.366 2007 1 NaN NaN NaN NaN NaN NaN 25.251 0.280 2007 2 NaN NaN NaN NaN NaN NaN 26.050 1.759 2007 3 NaN NaN NaN NaN NaN NaN 26.304 2.129 2007 4 NaN NaN NaN NaN NaN NaN 23.716 0.838 2007 5 NaN NaN NaN NaN NaN NaN 21.121 0.876 2007 6 NaN NaN NaN NaN NaN NaN 17.970 0.233 2007 7 NaN NaN NaN NaN NaN NaN 18.236 0.497 2007 8 NaN NaN NaN NaN NaN NaN 20.367 0.089 2007 9 NaN NaN NaN NaN NaN NaN 25.101 1.161 2007 10 NaN NaN NaN NaN NaN NaN 26.352 0.559 2007 11 NaN NaN NaN NaN NaN NaN 26.591 0.672 2007 12 NaN NaN NaN NaN NaN NaN 26.268 0.694 2008 1 NaN NaN NaN NaN NaN NaN 25.407 0.436 2008 2 23.351 -1.949 1 0 NaN NaN 23.518 -0.773 2008 3 23.067 -2.118 1 0 NaN NaN 23.450 -0.725 2008 4 NaN NaN NaN NaN NaN NaN 22.345 -0.533 2008 5 NaN NaN NaN NaN NaN NaN 21.678 1.432 2008 6 16.701 -2.045 1 0 NaN NaN 19.060 1.323 2008 7 17.049 -1.699 1 0 NaN NaN 19.069 1.331 2008 8 21.313 0.024 1 0 NaN NaN 22.365 2.087 2008 9 29.531 4.581 1 0 NaN NaN 25.918 1.978 2008 10 28.341 1.537 1 0 NaN NaN 27.759 1.966 2008 11 NaN NaN NaN NaN NaN NaN 26.904 0.986 2008 12 23.354 -3.230 1 0 NaN NaN 25.554 -0.020 2009 1 NaN NaN NaN NaN NaN NaN 25.235 0.265 2009 2 NaN NaN NaN NaN NaN NaN 23.488 -0.803 2009 3 25.560 0.375 1 0 NaN NaN 24.340 0.165 2009 4 25.177 1.289 0 2 25.270 1.382 23.633 0.755 2009 5 25.228 3.972 1 0 NaN NaN 21.067 0.821 2009 6 20.923 2.176 1 0 NaN NaN 18.553 0.817 2009 7 18.189 -0.560 0 0 18.281 -0.467 18.163 0.424 2009 8 22.113 0.825 0 0 22.205 0.917 20.637 0.359 2009 9 26.123 1.173 0 0 26.215 1.265 25.100 1.161 2009 10 27.363 0.560 0 0 27.455 0.652 26.545 0.752 2009 11 27.256 0.328 0 0 27.348 0.420 26.345 0.427 2009 12 29.123 2.539 0 0 29.215 2.631 27.661 2.087 2010 1 25.776 -0.205 0 0 25.868 -0.112 24.916 -0.054 2010 2 27.060 1.759 0 0 27.152 1.851 25.793 1.502 2010 3 24.859 -0.326 0 0 24.952 -0.233 24.725 0.550 2010 4 23.594 -0.293 0 0 23.687 -0.201 23.109 0.231 2010 5 22.246 0.991 0 0 22.339 1.083 21.222 0.976 2010 6 19.539 0.792 0 0 19.631 0.885 18.555 0.818 2010 7 20.265 1.517 0 0 20.358 1.609 19.047 1.308 2010 8 22.814 1.525 0 0 22.906 1.618 21.817 1.539 2010 9 26.098 1.148 0 0 26.191 1.241 25.308 1.368 2010 10 28.751 1.948 0 0 28.843 2.040 27.317 1.524 2010 11 25.757 -1.171 0 0 25.850 -1.079 25.540 -0.378 2010 12 25.680 -0.905 0 0 25.772 -0.812 25.630 0.056 2011 1 23.300 -2.681 0 0 23.392 -2.588 23.327 -1.644 2011 2 24.381 -0.920 0 0 24.473 -0.827 24.212 -0.079 2011 3 23.109 -2.076 0 0 23.202 -1.983 23.304 -0.871 2011 4 23.833 -0.055 0 0 23.926 0.038 22.844 -0.034 2011 5 23.329 2.073 0 0 23.421 2.166 20.276 0.030 2011 6 18.215 -0.532 0 0 18.307 -0.439 16.722 -1.015 2011 7 18.308 -0.441 0 0 18.400 -0.349 18.047 0.309 2011 8 19.972 -1.316 0 0 20.065 -1.224 19.495 -0.783 2011 9 25.984 1.034 0 0 26.077 1.127 24.838 0.898 2011 10 27.167 0.364 0 0 27.259 0.456 25.529 -0.264 2011 11 27.083 0.155 0 0 27.176 0.247 25.965 0.047 2011 12 25.383 -1.201 1 0 NaN NaN 26.837 1.263 2012 1 25.421 -0.559 0 0 25.514 -0.467 24.458 -0.513 2012 2 24.430 -0.871 0 0 24.522 -0.778 23.296 -0.994 2012 3 24.196 -0.989 0 0 24.289 -0.896 24.338 0.163 2012 4 24.167 0.279 0 0 24.259 0.371 23.024 0.146 2012 5 20.647 -0.609 0 0 20.739 -0.516 19.774 -0.471 2012 6 17.193 -1.554 0 0 17.285 -1.462 16.660 -1.076 2012 7 18.860 0.112 0 0 18.953 0.204 17.999 0.260 2012 8 22.952 1.663 0 0 23.044 1.756 21.444 1.166 2012 9 24.307 -0.643 0 0 24.399 -0.551 24.321 0.381 2012 10 28.319 1.515 0 0 28.411 1.608 27.422 1.629 2012 11 26.619 -0.310 0 0 26.711 -0.217 26.292 0.374 2012 12 25.680 -0.904 0 0 25.772 -0.812 25.512 -0.063 2013 1 27.022 1.041 0 0 27.114 1.133 26.510 1.539 2013 2 27.949 2.648 0 0 28.041 2.740 26.774 2.484 2013 3 27.466 2.281 0 0 27.558 2.373 26.421 2.246 2013 4 25.028 1.140 0 0 25.120 1.232 23.979 1.101 2013 5 23.419 2.163 0 0 23.512 2.256 21.950 1.704 2013 6 21.268 2.521 0 0 21.360 2.614 19.526 1.790 2013 7 20.506 1.757 0 0 20.598 1.850 19.100 1.362 2013 8 21.885 0.597 0 0 21.978 0.690 20.677 0.398 2013 9 24.768 -0.182 0 0 24.861 -0.089 24.497 0.557 2013 10 28.794 1.991 0 0 28.886 2.083 27.742 1.949 2013 11 27.191 0.263 1 0 NaN NaN NaN NaN