% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26032 % Primary Name: BRUTUS GREEN CANYON % Record Type: TAVG % Country: United States % State: LA % Latitude: 27.80000 +/- 0.00050 % Longitude: -90.66700 +/- 0.00050 % Elevation (m): 37.00 +/- 0.05 % # of Months: 53 % % IDs: gsod - 997810-99999 % icao - 46362 % usaf - 997810 % % Sources: Global Summary of the Day % % Site Hash: 5b6d4963a2a9a51dc235f9ef45b65cba % Raw Data Hash: ea30c97b60e70e6c1f6d2633bd6c3483 % Adj Data Hash: 50132652f5dc1db34c5d0b07d5524740 % % 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 4 NaN NaN NaN NaN NaN NaN 23.915 1.981 2006 5 NaN NaN NaN NaN NaN NaN 25.516 0.692 2006 6 NaN NaN NaN NaN NaN NaN 28.835 1.355 2006 7 NaN NaN NaN NaN NaN NaN 29.111 0.500 2006 8 NaN NaN NaN NaN NaN NaN 29.607 0.748 2006 9 NaN NaN NaN NaN NaN NaN 28.869 0.920 2006 10 NaN NaN NaN NaN NaN NaN 25.663 1.201 2006 11 NaN NaN NaN NaN NaN NaN 21.042 -0.079 2006 12 NaN NaN NaN NaN NaN NaN 19.063 0.372 2007 1 NaN NaN NaN NaN NaN NaN 17.786 0.433 2007 2 NaN NaN NaN NaN NaN NaN 16.701 -0.892 2007 3 NaN NaN NaN NaN NaN NaN 20.901 1.515 2007 4 24.272 2.310 1 0 NaN NaN 21.659 -0.275 2007 5 25.455 0.602 0 0 25.455 0.602 25.167 0.343 2007 6 27.931 0.424 0 0 27.931 0.424 28.268 0.789 2007 7 28.805 0.166 0 0 28.805 0.166 29.066 0.456 2007 8 29.355 0.467 0 0 29.355 0.467 29.979 1.120 2007 9 28.598 0.621 0 0 28.598 0.621 29.287 1.338 2007 10 25.719 1.228 0 0 25.719 1.228 25.730 1.268 2007 11 22.672 1.523 0 0 22.672 1.523 22.242 1.121 2007 12 23.463 4.744 1 0 NaN NaN 21.543 2.852 2008 1 NaN NaN NaN NaN NaN NaN 17.236 -0.117 2008 2 22.869 5.248 1 0 NaN NaN 19.369 1.775 2008 3 26.482 7.067 1 0 NaN NaN 19.793 0.406 2008 4 24.156 2.194 1 0 NaN NaN 22.586 0.652 2008 5 25.954 1.101 0 0 25.954 1.101 25.628 0.804 2008 6 28.847 1.339 1 0 NaN NaN 28.675 1.195 2008 7 29.053 0.414 1 0 NaN NaN 29.144 0.534 2008 8 28.241 -0.647 0 0 28.241 -0.647 28.780 -0.079 2008 9 29.000 1.023 1 0 NaN NaN 28.106 0.157 2008 10 NaN NaN NaN NaN NaN NaN 24.359 -0.103 2008 11 NaN NaN NaN NaN NaN NaN 21.229 0.108 2008 12 NaN NaN NaN NaN NaN NaN 20.398 1.707 2009 1 NaN NaN NaN NaN NaN NaN 18.489 1.136 2009 2 NaN NaN NaN NaN NaN NaN 18.889 1.296 2009 3 21.731 2.315 1 0 NaN NaN 20.926 1.539 2009 4 21.787 -0.175 0 0 21.787 -0.175 21.961 0.028 2009 5 NaN NaN NaN NaN NaN NaN 25.613 0.789 2009 6 NaN NaN NaN NaN NaN NaN 28.689 1.209 2009 7 30.000 1.361 1 0 NaN NaN 29.501 0.891 2009 8 29.305 0.417 0 0 29.305 0.417 29.587 0.728 2009 9 28.147 0.170 0 0 28.147 0.170 29.146 1.197 2009 10 NaN NaN NaN NaN NaN NaN 25.763 1.301 2009 11 NaN NaN NaN NaN NaN NaN 21.086 -0.035 2009 12 NaN NaN NaN NaN NaN NaN 18.189 -0.502 2010 1 NaN NaN NaN NaN NaN NaN 14.384 -2.969 2010 2 NaN NaN NaN NaN NaN NaN 13.559 -4.034 2010 3 NaN NaN NaN NaN NaN NaN 16.893 -2.494 2010 4 23.457 1.494 1 0 NaN NaN 21.907 -0.026 2010 5 26.496 1.644 0 0 26.496 1.644 26.357 1.533 2010 6 29.006 1.498 0 0 29.006 1.498 29.708 2.229 2010 7 29.144 0.505 0 0 29.144 0.505 29.682 1.071 2010 8 29.444 0.557 0 0 29.444 0.557 30.233 1.374 2010 9 28.857 0.880 0 0 28.857 0.880 29.719 1.770 2010 10 25.335 0.844 0 0 25.335 0.844 24.918 0.456 2010 11 22.861 1.711 1 0 NaN NaN 22.029 0.908 2010 12 17.093 -1.626 0 0 17.093 -1.626 16.332 -2.359 2011 1 16.783 -0.598 0 0 16.783 -0.598 15.746 -1.607 2011 2 18.092 0.470 0 0 18.092 0.470 16.665 -0.929 2011 3 21.645 2.230 0 0 21.645 2.230 21.421 2.034 2011 4 24.726 2.764 1 0 NaN NaN 23.875 1.942 2011 5 25.617 0.765 0 0 25.617 0.765 25.388 0.564 2011 6 28.322 0.814 0 0 28.322 0.814 29.184 1.704 2011 7 29.004 0.365 0 0 29.004 0.365 29.574 0.963 2011 8 30.153 1.265 1 0 NaN NaN 31.194 2.335 2011 9 28.075 0.097 0 0 28.075 0.097 28.220 0.271 2011 10 25.156 0.666 0 0 25.156 0.666 24.136 -0.326 2011 11 23.629 2.479 1 0 NaN NaN 21.956 0.835 2011 12 20.708 1.988 0 0 20.708 1.988 19.688 0.998 2012 1 20.891 3.509 0 0 20.891 3.509 19.406 2.053 2012 2 23.113 5.491 1 0 NaN NaN 18.849 1.256 2012 3 NaN NaN NaN NaN NaN NaN 22.639 3.252 2012 4 21.317 -0.645 1 0 NaN NaN 23.429 1.496 2012 5 NaN NaN NaN NaN NaN NaN 26.276 1.452 2012 6 NaN NaN NaN NaN NaN NaN 28.270 0.791 2012 7 NaN NaN NaN NaN NaN NaN 29.350 0.740 2012 8 29.261 0.373 1 0 NaN NaN 29.630 0.771 2012 9 29.389 1.412 1 0 NaN NaN 28.542 0.593 2012 10 24.908 0.417 1 0 NaN NaN 24.800 0.338 2012 11 21.913 0.763 0 0 21.913 0.763 21.019 -0.102 2012 12 24.389 5.670 1 0 NaN NaN 20.199 1.508 2013 1 NaN NaN NaN NaN NaN NaN 18.885 1.532 2013 2 NaN NaN NaN NaN NaN NaN 18.757 1.164 2013 3 NaN NaN NaN NaN NaN NaN 18.010 -1.377 2013 4 NaN NaN NaN NaN NaN NaN 21.791 -0.143 2013 5 NaN NaN NaN NaN NaN NaN 24.096 -0.728 2013 6 NaN NaN NaN NaN NaN NaN 29.060 1.581 2013 7 NaN NaN NaN NaN NaN NaN 28.896 0.285 2013 8 28.428 -0.459 1 0 NaN NaN 29.240 0.380 2013 9 28.885 0.908 0 0 28.885 0.908 29.316 1.367 2013 10 NaN NaN NaN NaN NaN NaN 25.639 1.177