% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26503 % Primary Name: BOERNE STAGE FIELD % Record Type: TAVG % Country: United States % State: TX % Latitude: 29.72400 +/- 0.00050 % Longitude: -98.69500 +/- 0.00050 % Elevation (m): 422.00 +/- 0.05 % # of Months: 39 % % IDs: gsod - 720733-99999 % icao - K5C1 % usaf - 720733 % % Sources: Global Summary of the Day % % Site Hash: 0d1eb0c776ebe146661b30196f63d197 % Raw Data Hash: eaf1eec6a9f4b4e485026dabf1a5c595 % Adj Data Hash: 00aab40921bc1e02f8feac124849496e % % 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 5 NaN NaN NaN NaN NaN NaN 25.206 1.311 2009 6 NaN NaN NaN NaN NaN NaN 29.864 2.446 2009 7 NaN NaN NaN NaN NaN NaN 31.248 2.221 2009 8 NaN NaN NaN NaN NaN NaN 31.051 2.161 2009 9 NaN NaN NaN NaN NaN NaN 25.538 -0.512 2009 10 NaN NaN NaN NaN NaN NaN 20.400 -0.421 2009 11 NaN NaN NaN NaN NaN NaN 15.639 0.531 2009 12 NaN NaN NaN NaN NaN NaN 8.503 -2.796 2010 1 NaN NaN NaN NaN NaN NaN 8.809 -0.963 2010 2 NaN NaN NaN NaN NaN NaN 8.118 -3.837 2010 3 NaN NaN NaN NaN NaN NaN 14.524 -1.533 2010 4 NaN NaN NaN NaN NaN NaN 20.067 -0.233 2010 5 24.632 2.431 1 0 NaN NaN 25.077 1.182 2010 6 27.052 1.327 0 0 27.052 1.327 28.646 1.227 2010 7 27.534 0.201 0 0 27.534 0.201 28.703 -0.324 2010 8 29.787 2.590 0 0 29.787 2.590 30.623 1.733 2010 9 24.500 0.143 0 0 24.500 0.143 26.827 0.776 2010 10 19.615 0.487 0 0 19.615 0.487 20.812 -0.010 2010 11 15.081 1.667 0 0 15.081 1.667 16.213 1.105 2010 12 10.274 0.669 0 0 10.274 0.669 11.885 0.586 2011 1 8.738 0.660 0 0 8.738 0.660 9.138 -0.635 2011 2 10.942 0.682 0 0 10.942 0.682 11.938 -0.017 2011 3 16.970 2.606 0 0 16.970 2.606 18.473 2.416 2011 4 21.931 3.325 0 0 21.931 3.325 23.540 3.239 2011 5 23.420 1.219 0 0 23.420 1.219 25.153 1.258 2011 6 28.468 2.743 0 0 28.468 2.743 30.024 2.605 2011 7 29.090 1.757 0 0 29.090 1.757 30.927 1.900 2011 8 30.162 2.965 0 0 30.162 2.965 32.195 3.305 2011 9 25.370 1.013 0 0 25.370 1.013 28.099 2.049 2011 10 19.290 0.162 0 0 19.290 0.162 21.428 0.606 2011 11 15.054 1.639 0 0 15.054 1.639 16.708 1.600 2011 12 9.398 -0.207 0 0 9.398 -0.207 11.491 0.192 2012 1 11.102 3.023 0 0 11.102 3.023 12.308 2.536 2012 2 12.847 2.586 1 0 NaN NaN 13.378 1.423 2012 3 17.095 2.732 0 0 17.095 2.732 18.918 2.861 2012 4 21.111 2.504 0 0 21.111 2.504 22.586 2.286 2012 5 23.211 1.010 0 0 23.211 1.010 24.934 1.039 2012 6 27.143 1.418 0 0 27.143 1.418 28.943 1.524 2012 7 26.914 -0.419 0 0 26.914 -0.419 28.975 -0.052 2012 8 28.072 0.875 0 0 28.072 0.875 30.024 1.134 2012 9 23.852 -0.505 0 0 23.852 -0.505 26.298 0.248 2012 10 19.201 0.073 0 0 19.201 0.073 20.878 0.056 2012 11 15.006 1.591 0 0 15.006 1.591 16.799 1.690 2012 12 11.796 2.190 0 0 11.796 2.190 13.736 2.437 2013 1 9.821 1.742 0 0 9.821 1.742 11.291 1.519 2013 2 12.720 2.459 0 0 12.720 2.459 13.821 1.867 2013 3 14.760 0.397 0 0 14.760 0.397 15.957 -0.100 2013 4 17.476 -1.131 0 0 17.476 -1.131 19.206 -1.095 2013 5 21.444 -0.757 0 0 21.444 -0.757 23.368 -0.527 2013 6 25.893 0.168 0 0 25.893 0.168 28.795 1.376 2013 7 26.613 -0.720 0 0 26.613 -0.720 28.912 -0.115 2013 8 NaN NaN NaN NaN NaN NaN 30.097 1.207 2013 9 NaN NaN NaN NaN NaN NaN 27.412 1.361 2013 10 NaN NaN NaN NaN NaN NaN 21.577 0.756