% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26098 % Primary Name: MISSION ARANASAS RES % Record Type: TAVG % Country: United States % State: TX % Latitude: 28.13300 +/- 0.00050 % Longitude: -97.03300 +/- 0.00050 % Elevation (m): 5.00 +/- 0.05 % # of Months: 71 % % IDs: gsod - 998165-99999 % icao - MAXT2 % usaf - 998165 % % Sources: Global Summary of the Day % % Site Hash: 615670331ef81fd1042380c4cbcc4ee3 % Raw Data Hash: 2858385dc67b4ee983526fe58fbec4c9 % Adj Data Hash: 08e7cbd0534ead044f04c7e46860d7c8 % % 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 2006 12 NaN NaN NaN NaN NaN NaN 14.530 0.644 2007 1 NaN NaN NaN NaN NaN NaN 10.802 -1.599 2007 2 NaN NaN NaN NaN NaN NaN 13.996 -0.290 2007 3 NaN NaN NaN NaN NaN NaN 20.136 2.062 2007 4 NaN NaN NaN NaN NaN NaN 20.553 -1.375 2007 5 NaN NaN NaN NaN NaN NaN 25.261 0.121 2007 6 NaN NaN NaN NaN NaN NaN 28.320 0.407 2007 7 NaN NaN NaN NaN NaN NaN 27.983 -1.042 2007 8 NaN NaN NaN NaN NaN NaN 29.447 0.472 2007 9 NaN NaN NaN NaN NaN NaN 28.014 0.928 2007 10 NaN NaN NaN NaN NaN NaN 23.961 1.259 2007 11 NaN NaN NaN NaN NaN NaN 19.047 1.439 2007 12 16.208 2.779 0 0 16.208 2.779 16.306 2.421 2008 1 12.609 0.665 0 0 12.609 0.665 12.594 0.194 2008 2 17.148 3.318 0 0 17.148 3.318 17.119 2.834 2008 3 18.280 0.662 0 0 18.280 0.662 18.860 0.787 2008 4 21.919 0.447 0 0 21.919 0.447 22.609 0.681 2008 5 25.525 0.842 0 0 25.525 0.842 26.569 1.429 2008 6 28.135 0.678 0 0 28.135 0.678 29.481 1.568 2008 7 27.731 -0.838 0 0 27.731 -0.838 28.458 -0.566 2008 8 28.283 -0.236 0 0 28.283 -0.236 28.985 0.010 2008 9 26.537 -0.094 0 0 26.537 -0.094 26.954 -0.132 2008 10 23.262 1.015 0 0 23.262 1.015 22.586 -0.116 2008 11 19.587 2.435 0 0 19.587 2.435 19.039 1.431 2008 12 14.683 1.254 0 0 14.683 1.254 14.677 0.792 2009 1 14.285 2.340 0 0 14.285 2.340 13.903 1.502 2009 2 17.669 3.839 0 0 17.669 3.839 17.503 3.218 2009 3 18.199 0.581 0 0 18.199 0.581 18.764 0.690 2009 4 21.869 0.397 0 0 21.869 0.397 22.824 0.896 2009 5 25.430 0.747 0 0 25.430 0.747 26.512 1.372 2009 6 27.898 0.441 0 0 27.898 0.441 29.373 1.460 2009 7 28.733 0.164 0 0 28.733 0.164 30.519 1.494 2009 8 28.973 0.454 0 0 28.973 0.454 30.521 1.546 2009 9 26.581 -0.049 0 0 26.581 -0.049 27.393 0.306 2009 10 23.699 1.452 0 0 23.699 1.452 23.620 0.917 2009 11 18.850 1.698 0 0 18.850 1.698 18.149 0.541 2009 12 11.599 -1.830 1 0 NaN NaN 11.173 -2.712 2010 1 12.492 0.547 1 0 NaN NaN 11.351 -1.050 2010 2 11.224 -2.605 0 0 11.224 -2.605 11.037 -3.249 2010 3 16.627 -0.990 0 0 16.627 -0.990 16.787 -1.287 2010 4 21.293 -0.179 0 0 21.293 -0.179 21.922 -0.006 2010 5 25.636 0.953 0 0 25.636 0.953 26.349 1.210 2010 6 28.428 0.971 0 0 28.428 0.971 29.299 1.386 2010 7 28.898 0.329 0 0 28.898 0.329 29.262 0.238 2010 8 29.461 0.942 0 0 29.461 0.942 30.311 1.336 2010 9 27.433 0.802 0 0 27.433 0.802 27.713 0.627 2010 10 23.733 1.486 0 0 23.733 1.486 23.124 0.421 2010 11 19.205 2.052 0 0 19.205 2.052 18.344 0.735 2010 12 15.427 1.997 0 0 15.427 1.997 15.038 1.153 2011 1 12.441 0.496 0 0 12.441 0.496 12.193 -0.208 2011 2 13.413 -0.417 0 0 13.413 -0.417 13.602 -0.683 2011 3 19.489 1.872 0 0 19.489 1.872 20.065 1.991 2011 4 23.515 2.043 0 0 23.515 2.043 24.299 2.372 2011 5 24.615 -0.069 0 0 24.615 -0.069 25.635 0.496 2011 6 28.019 0.562 0 0 28.019 0.562 29.159 1.246 2011 7 28.828 0.259 0 0 28.828 0.259 30.043 1.018 2011 8 29.430 0.911 0 0 29.430 0.911 30.948 1.973 2011 9 27.917 1.286 0 0 27.917 1.286 28.821 1.735 2011 10 23.706 1.460 0 0 23.706 1.460 23.352 0.650 2011 11 19.598 2.446 0 0 19.598 2.446 18.944 1.336 2011 12 14.044 0.615 0 0 14.044 0.615 14.349 0.463 2012 1 15.781 3.837 0 0 15.781 3.837 15.244 2.843 2012 2 15.621 1.792 0 0 15.621 1.792 15.712 1.427 2012 3 20.231 2.614 0 0 20.231 2.614 20.821 2.748 2012 4 23.456 1.984 0 0 23.456 1.984 24.211 2.283 2012 5 25.364 0.680 0 0 25.364 0.680 26.249 1.110 2012 6 27.994 0.537 0 0 27.994 0.537 29.366 1.453 2012 7 28.333 -0.235 0 0 28.333 -0.235 29.283 0.258 2012 8 28.851 0.332 0 0 28.851 0.332 30.174 1.199 2012 9 26.592 -0.039 1 0 NaN NaN 27.762 0.675 2012 10 NaN NaN NaN NaN NaN NaN 23.544 0.841 2012 11 18.136 0.984 1 0 NaN NaN 19.463 1.855 2012 12 16.833 3.404 0 0 16.833 3.404 16.814 2.929 2013 1 13.792 1.847 0 0 13.792 1.847 13.594 1.193 2013 2 16.808 2.978 0 0 16.808 2.978 16.415 2.130 2013 3 17.643 0.026 0 0 17.643 0.026 18.040 -0.033 2013 4 19.696 -1.775 0 0 19.696 -1.775 20.820 -1.107 2013 5 23.670 -1.013 0 0 23.670 -1.013 24.694 -0.445 2013 6 27.881 0.424 0 0 27.881 0.424 29.184 1.271 2013 7 28.230 -0.339 0 0 28.230 -0.339 29.138 0.113 2013 8 28.414 -0.105 0 0 28.414 -0.105 29.562 0.587 2013 9 27.869 1.238 0 0 27.869 1.238 28.223 1.136 2013 10 24.344 2.098 0 0 24.344 2.098 23.919 1.216 2013 11 21.652 4.500 1 0 NaN NaN NaN NaN