% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26165 % Primary Name: BRAZOS 451 % Record Type: TAVG % Country: United States % State: TX % Latitude: 28.50000 +/- 0.00050 % Longitude: -95.71700 +/- 0.00050 % Elevation (m): 0.00 +/- 0.05 % # of Months: 16 % % IDs: gsod - 720729-99999 % icao - KBQX % usaf - 720729 % % Sources: Global Summary of the Day % % Site Hash: 3774e02032cad78be65aa9c0ad66afc9 % Raw Data Hash: fa77e8d6ed7f597897f741a1fbc54c2b % Adj Data Hash: 4e36a90af00889d264ab1fa188700300 % % 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 24.995 0.912 2009 6 NaN NaN NaN NaN NaN NaN 27.962 1.111 2009 7 NaN NaN NaN NaN NaN NaN 29.153 1.158 2009 8 NaN NaN NaN NaN NaN NaN 29.365 1.200 2009 9 NaN NaN NaN NaN NaN NaN 27.399 0.266 2009 10 NaN NaN NaN NaN NaN NaN 24.882 0.934 2009 11 NaN NaN NaN NaN NaN NaN 20.705 0.465 2009 12 NaN NaN NaN NaN NaN NaN 15.347 -1.902 2010 1 NaN NaN NaN NaN NaN NaN 14.072 -1.396 2010 2 NaN NaN NaN NaN NaN NaN 12.572 -3.349 2010 3 NaN NaN NaN NaN NaN NaN 16.591 -1.531 2010 4 NaN NaN NaN NaN NaN NaN 20.840 -0.231 2010 5 26.260 2.386 1 0 NaN NaN 25.258 1.175 2010 6 28.670 2.028 0 0 28.670 2.028 28.478 1.627 2010 7 29.319 1.533 0 0 29.319 1.533 28.623 0.628 2010 8 30.216 2.260 1 0 NaN NaN 29.753 1.588 2010 9 26.273 -0.651 1 0 NaN NaN 28.309 1.176 2010 10 25.713 1.973 0 0 25.713 1.973 24.713 0.765 2010 11 20.257 0.225 0 0 20.257 0.225 21.047 0.806 2010 12 16.765 -0.275 0 0 16.765 -0.275 17.695 0.446 2011 1 13.529 -1.731 0 0 13.529 -1.731 14.949 -0.520 2011 2 13.583 -2.130 1 0 NaN NaN 14.813 -1.109 2011 3 15.815 -2.099 1 0 NaN NaN 19.706 1.584 2011 4 NaN NaN NaN NaN NaN NaN 23.147 2.076 2011 5 NaN NaN NaN NaN NaN NaN 24.616 0.533 2011 6 NaN NaN NaN NaN NaN NaN 28.299 1.448 2011 7 NaN NaN NaN NaN NaN NaN 29.113 1.118 2011 8 NaN NaN NaN NaN NaN NaN 30.191 2.026 2011 9 NaN NaN NaN NaN NaN NaN 28.424 1.291 2011 10 NaN NaN NaN NaN NaN NaN 24.468 0.520 2011 11 NaN NaN NaN NaN NaN NaN 21.478 1.237 2011 12 NaN NaN NaN NaN NaN NaN 18.037 0.788 2012 1 NaN NaN NaN NaN NaN NaN 18.172 2.703 2012 2 NaN NaN NaN NaN NaN NaN 17.589 1.668 2012 3 NaN NaN NaN NaN NaN NaN 21.137 3.015 2012 4 NaN NaN NaN NaN NaN NaN 23.105 2.033 2012 5 NaN NaN NaN NaN NaN NaN 25.284 1.201 2012 6 NaN NaN NaN NaN NaN NaN 28.003 1.152 2012 7 NaN NaN NaN NaN NaN NaN 28.248 0.253 2012 8 NaN NaN NaN NaN NaN NaN 29.174 1.010 2012 9 NaN NaN NaN NaN NaN NaN 27.836 0.703 2012 10 NaN NaN NaN NaN NaN NaN 24.662 0.714 2012 11 NaN NaN NaN NaN NaN NaN 21.673 1.433 2012 12 NaN NaN NaN NaN NaN NaN 19.987 2.738 2013 1 NaN NaN NaN NaN NaN NaN 16.619 1.151 2013 2 NaN NaN NaN NaN NaN NaN 17.777 1.855 2013 3 NaN NaN NaN NaN NaN NaN 17.586 -0.536 2013 4 NaN NaN NaN NaN NaN NaN 19.993 -1.078 2013 5 NaN NaN NaN NaN NaN NaN 23.501 -0.582 2013 6 NaN NaN NaN NaN NaN NaN 28.002 1.151 2013 7 28.896 1.109 1 0 NaN NaN 28.150 0.155 2013 8 29.319 1.362 1 0 NaN NaN 28.742 0.578 2013 9 28.956 2.032 1 0 NaN NaN 28.528 1.395 2013 10 25.380 1.641 1 0 NaN NaN 25.198 1.250 2013 11 23.872 3.840 1 0 NaN NaN NaN NaN