% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26801 % Primary Name: AUSTIN GREAT HILLS % Record Type: TAVG % Country: United States % State: TX % Latitude: 30.41440 +/- 0.00005 % Longitude: -97.76640 +/- 0.00005 % Elevation (m): 260.60 +/- 0.15 % # of Months: 70 % % Alternate Names: Missing Station ID - 410433 % % IDs: coop - 410433 % ghcnd - USC00410433 % ncdc - 30014175 % nws - AGHT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 70be7015761c9dd7e4cc6a439be1b15b % Raw Data Hash: e5b037ce6855671655705f7edb28e326 % Adj Data Hash: 060d2ce3ab47df5efae92bafb1db444d % % 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 2007 1 NaN NaN NaN NaN NaN NaN 7.896 -1.876 2007 2 NaN NaN NaN NaN NaN NaN 11.588 -0.367 2007 3 NaN NaN NaN NaN NaN NaN 18.302 2.245 2007 4 NaN NaN NaN NaN NaN NaN 18.156 -2.144 2007 5 NaN NaN NaN NaN NaN NaN 23.414 -0.481 2007 6 NaN NaN NaN NaN NaN NaN 27.035 -0.383 2007 7 NaN NaN NaN NaN NaN NaN 26.754 -2.273 2007 8 NaN NaN NaN NaN NaN NaN 28.664 -0.227 2007 9 NaN NaN NaN NaN NaN NaN 26.439 0.388 2007 10 NaN NaN NaN NaN NaN NaN 21.873 1.051 2007 11 NaN NaN NaN NaN NaN NaN 16.445 1.337 2007 12 NaN NaN NaN NaN NaN NaN 12.796 1.497 2008 1 8.778 -0.166 0 0 8.732 -0.212 9.546 -0.226 2008 2 13.278 2.151 0 0 13.232 2.106 14.351 2.396 2008 3 15.667 0.438 0 0 15.621 0.392 16.766 0.709 2008 4 19.611 0.139 0 0 19.565 0.093 20.517 0.217 2008 5 24.667 1.600 0 0 24.621 1.554 25.429 1.534 2008 6 29.667 3.076 0 0 29.621 3.031 30.047 2.629 2008 7 29.056 0.857 0 0 29.010 0.811 28.910 -0.117 2008 8 28.944 0.882 0 0 28.899 0.837 29.227 0.336 2008 9 25.389 0.167 0 0 25.343 0.121 25.909 -0.142 2008 10 20.278 0.284 0 0 20.232 0.238 20.869 0.047 2008 11 15.833 1.553 0 0 15.788 1.507 16.553 1.445 2008 12 10.056 -0.415 0 0 10.010 -0.461 11.686 0.387 2009 1 9.944 1.000 0 0 9.899 0.954 10.891 1.118 2009 2 14.611 3.485 0 0 14.565 3.439 15.547 3.592 2009 3 16.056 0.827 0 0 16.010 0.781 17.378 1.321 2009 4 19.056 -0.417 0 0 19.010 -0.462 20.367 0.067 2009 5 24.333 1.267 0 0 24.288 1.221 25.206 1.311 2009 6 29.000 2.410 0 0 28.954 2.364 29.864 2.446 2009 7 30.389 2.190 0 0 30.343 2.145 31.248 2.221 2009 8 30.111 2.049 0 0 30.065 2.003 31.051 2.161 2009 9 24.278 -0.945 0 0 24.232 -0.990 25.538 -0.512 2009 10 18.833 -1.160 0 0 18.788 -1.206 20.400 -0.421 2009 11 15.167 0.886 0 1 15.188 0.908 15.639 0.531 2009 12 7.111 -3.360 0 0 7.133 -3.338 8.503 -2.796 2010 1 8.111 -0.833 0 0 8.133 -0.812 8.809 -0.963 2010 2 7.056 -4.071 0 0 7.077 -4.049 8.118 -3.837 2010 3 13.556 -1.673 0 0 13.577 -1.652 14.524 -1.533 2010 4 19.000 -0.472 0 0 19.021 -0.451 20.067 -0.233 2010 5 24.833 1.767 0 0 24.855 1.788 25.077 1.182 2010 6 27.778 1.188 0 0 27.799 1.209 28.646 1.227 2010 7 28.056 -0.143 0 0 28.077 -0.121 28.703 -0.324 2010 8 30.167 2.105 0 0 30.188 2.126 30.623 1.733 2010 9 26.444 1.222 0 0 26.466 1.244 26.827 0.776 2010 10 20.778 0.784 0 0 20.799 0.806 20.812 -0.010 2010 11 15.611 1.331 0 0 15.633 1.352 16.213 1.105 2010 12 10.556 0.085 0 0 10.577 0.106 11.885 0.586 2011 1 8.333 -0.611 0 0 8.355 -0.589 9.138 -0.635 2011 2 11.111 -0.015 0 0 11.133 0.006 11.938 -0.017 2011 3 17.611 2.383 0 0 17.633 2.404 18.473 2.416 2011 4 22.500 3.028 0 0 22.521 3.049 23.540 3.239 2011 5 24.194 1.127 0 0 24.215 1.148 25.153 1.258 2011 6 29.500 2.910 0 0 29.521 2.931 30.024 2.605 2011 7 31.000 2.802 0 0 31.021 2.823 30.927 1.900 2011 8 31.944 3.882 0 0 31.966 3.904 32.195 3.305 2011 9 27.333 2.111 0 0 27.355 2.132 28.099 2.049 2011 10 20.611 0.618 0 0 20.633 0.639 21.428 0.606 2011 11 15.389 1.109 0 0 15.410 1.130 16.708 1.600 2011 12 9.589 -0.882 0 0 9.610 -0.861 11.491 0.192 2012 1 11.610 2.665 0 0 11.631 2.687 12.308 2.536 2012 2 12.647 1.520 0 0 12.668 1.542 13.378 1.423 2012 3 17.977 2.749 0 0 17.999 2.770 18.918 2.861 2012 4 22.277 2.804 0 0 22.298 2.826 22.586 2.286 2012 5 24.682 1.616 0 0 24.704 1.637 24.934 1.039 2012 6 28.845 2.255 0 0 28.866 2.276 28.943 1.524 2012 7 28.910 0.711 0 0 28.931 0.733 28.975 -0.052 2012 8 NaN NaN NaN NaN NaN NaN 30.024 1.134 2012 9 25.323 0.101 0 0 25.345 0.122 26.298 0.248 2012 10 19.345 -0.648 0 0 19.367 -0.627 20.878 0.056 2012 11 15.993 1.713 0 0 16.015 1.735 16.799 1.690 2012 12 12.239 1.768 0 0 12.260 1.789 13.736 2.437 2013 1 10.326 1.382 0 0 10.347 1.403 11.291 1.519 2013 2 12.948 1.822 0 0 12.970 1.843 13.821 1.867 2013 3 15.132 -0.096 0 0 15.154 -0.075 15.957 -0.100 2013 4 17.987 -1.486 0 0 18.008 -1.464 19.206 -1.095 2013 5 22.644 -0.423 0 0 22.665 -0.402 23.368 -0.527 2013 6 27.937 1.346 0 0 27.958 1.368 28.795 1.376 2013 7 27.879 -0.319 0 0 27.900 -0.298 28.912 -0.115 2013 8 28.992 0.930 0 0 29.013 0.951 30.097 1.207 2013 9 26.742 1.519 0 0 26.763 1.541 27.412 1.361 2013 10 20.294 0.300 0 0 20.315 0.321 21.577 0.756 2013 11 16.217 1.936 1 0 NaN NaN NaN NaN