% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159270 % Primary Name: LOMAHASHA % Record Type: TAVG % Country: Swaziland % Latitude: -25.98300 +/- 0.00050 % Longitude: 31.98300 +/- 0.00050 % Elevation (m): 570.00 +/- 0.05 % # of Months: 27 % % IDs: gsod - 682980-99999 % icao - FDLM % usaf - 682980 % wmo - 68298 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: b6cff3e304506bbc4178fce5adb4dba6 % Raw Data Hash: caa9706c195b07a79a20b4805377fd24 % Adj Data Hash: d5f31fc462eea45ce418be2f32d6c3cb % % 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 2008 6 NaN NaN NaN NaN NaN NaN 17.294 0.114 2008 7 NaN NaN NaN NaN NaN NaN 18.253 1.158 2008 8 NaN NaN NaN NaN NaN NaN 20.228 1.453 2008 9 NaN NaN NaN NaN NaN NaN 21.029 0.343 2008 10 NaN NaN NaN NaN NaN NaN 22.351 0.271 2008 11 NaN NaN NaN NaN NaN NaN 23.981 0.520 2008 12 NaN NaN NaN NaN NaN NaN 25.145 0.448 2009 1 NaN NaN NaN NaN NaN NaN 25.835 0.428 2009 2 NaN NaN NaN NaN NaN NaN 25.313 0.043 2009 3 NaN NaN NaN NaN NaN NaN 24.332 -0.066 2009 4 NaN NaN NaN NaN NaN NaN 22.149 0.052 2009 5 NaN NaN NaN NaN NaN NaN 20.567 0.904 2009 6 18.148 1.832 1 0 NaN NaN 18.765 1.585 2009 7 18.254 2.024 1 0 NaN NaN 16.900 -0.194 2009 8 NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN 26.367 1.097 2010 3 NaN NaN NaN NaN NaN NaN 25.560 1.161 2010 4 NaN NaN NaN NaN 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 12.323 -5.588 1 0 NaN NaN 18.860 0.086 2010 9 15.144 -4.678 1 0 NaN NaN 22.498 1.812 2010 10 18.604 -2.612 1 0 NaN NaN 22.859 0.780 2010 11 NaN NaN NaN NaN NaN NaN 24.256 0.795 2010 12 22.704 -1.129 1 0 NaN NaN 24.655 -0.042 2011 1 22.369 -2.174 1 0 NaN NaN 25.234 -0.172 2011 2 23.497 -0.910 1 0 NaN NaN 25.416 0.145 2011 3 23.774 0.239 1 0 NaN NaN 26.680 2.281 2011 4 NaN NaN NaN NaN NaN NaN 22.112 0.015 2011 5 20.919 2.119 1 0 NaN NaN 20.913 1.249 2011 6 17.722 1.406 1 0 NaN NaN 17.766 0.586 2011 7 15.174 -1.057 1 0 NaN NaN 16.441 -0.653 2011 8 16.823 -1.088 1 0 NaN NaN 18.073 -0.701 2011 9 21.152 1.330 1 0 NaN NaN 21.999 1.312 2011 10 NaN NaN NaN NaN NaN NaN 22.597 0.517 2011 11 NaN NaN NaN NaN NaN NaN 24.242 0.781 2011 12 NaN NaN NaN NaN NaN NaN 24.624 -0.073 2012 1 NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN 18.718 1.624 2012 8 NaN NaN NaN NaN NaN NaN 20.217 1.442 2012 9 NaN NaN NaN NaN NaN NaN 20.395 -0.292 2012 10 22.659 1.443 1 0 NaN NaN 22.573 0.493 2012 11 22.040 -0.558 0 0 22.040 -0.558 23.055 -0.406 2012 12 22.394 -1.439 0 0 22.394 -1.439 25.065 0.368 2013 1 23.281 -1.261 0 0 23.281 -1.261 25.491 0.084 2013 2 24.069 -0.337 0 0 24.069 -0.337 25.642 0.371 2013 3 23.462 -0.073 0 0 23.462 -0.073 24.437 0.038 2013 4 22.239 1.006 0 0 22.239 1.006 21.260 -0.837 2013 5 22.376 3.576 1 0 NaN NaN 19.685 0.022 2013 6 22.039 5.723 1 0 NaN NaN 18.467 1.287 2013 7 20.594 4.363 1 0 NaN NaN 18.074 0.979 2013 8 21.006 3.095 0 0 21.006 3.095 19.589 0.815 2013 9 22.412 2.589 1 0 NaN NaN 22.071 1.385 2013 10 20.706 -0.510 1 0 NaN NaN 21.714 -0.366