% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26517 % Primary Name: CALCASIEU PASS % Record Type: TAVG % Country: United States % State: LA % Latitude: 29.76700 +/- 0.00050 % Longitude: -93.35000 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 79 % % IDs: gsod - 997337-99999 % icao - CAPL1 % usaf - 997337 % % Sources: Global Summary of the Day % % Site Hash: 87100cd94c7099e0a87586a22e7aa147 % Raw Data Hash: fb5d93ae6317dc67fc94c216705e1912 % Adj Data Hash: 808eabe214c9b94b028d204ecb814f7e % % 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 2004 5 NaN NaN NaN NaN NaN NaN 24.114 0.373 2004 6 NaN NaN NaN NaN NaN NaN 27.269 0.523 2004 7 NaN NaN NaN NaN NaN NaN 28.251 0.348 2004 8 NaN NaN NaN NaN NaN NaN 27.569 -0.224 2004 9 NaN NaN NaN NaN NaN NaN 27.169 1.162 2004 10 NaN NaN NaN NaN NaN NaN 24.837 3.567 2004 11 NaN NaN NaN NaN NaN NaN 18.015 1.623 2004 12 NaN NaN NaN NaN NaN NaN 12.451 -0.463 2005 1 NaN NaN NaN NaN NaN NaN 13.433 2.018 2005 2 NaN NaN NaN NaN NaN NaN 13.967 1.202 2005 3 NaN NaN NaN NaN NaN NaN 15.897 -0.275 2005 4 NaN NaN NaN NaN NaN NaN 19.711 -0.416 2005 5 27.163 3.585 1 0 NaN NaN 23.460 -0.281 2005 6 28.745 2.162 1 0 NaN NaN 28.052 1.305 2005 7 29.421 1.682 1 0 NaN NaN 28.471 0.569 2005 8 29.481 1.852 0 0 29.481 1.852 28.834 1.041 2005 9 29.668 3.825 1 0 NaN NaN 28.662 2.655 2005 10 NaN NaN NaN NaN NaN NaN 21.698 0.428 2005 11 NaN NaN NaN NaN NaN NaN 18.355 1.962 2005 12 NaN NaN NaN NaN NaN NaN 12.423 -0.491 2006 1 NaN NaN NaN NaN NaN NaN 14.606 3.191 2006 2 NaN NaN NaN NaN NaN NaN 12.413 -0.352 2006 3 NaN NaN NaN NaN NaN NaN 18.305 2.133 2006 4 NaN NaN NaN NaN NaN NaN 22.538 2.412 2006 5 NaN NaN NaN NaN NaN NaN 24.238 0.497 2006 6 NaN NaN NaN NaN NaN NaN 27.178 0.432 2006 7 NaN NaN NaN NaN NaN NaN 27.851 -0.052 2006 8 NaN NaN NaN NaN NaN NaN 28.792 0.999 2006 9 NaN NaN NaN NaN NaN NaN 26.223 0.216 2006 10 NaN NaN NaN NaN NaN NaN 22.317 1.047 2006 11 NaN NaN NaN NaN NaN NaN 17.131 0.739 2006 12 NaN NaN NaN NaN NaN NaN 13.240 0.327 2007 1 7.567 -3.685 1 0 NaN NaN 10.666 -0.749 2007 2 11.671 -0.930 0 2 11.671 -0.930 11.672 -1.092 2007 3 18.794 2.785 0 0 18.794 2.785 18.437 2.265 2007 4 19.341 -0.622 0 0 19.341 -0.622 18.968 -1.159 2007 5 24.778 1.201 0 0 24.778 1.201 24.127 0.386 2007 6 27.904 1.321 0 0 27.904 1.321 27.525 0.778 2007 7 28.204 0.466 0 0 28.204 0.466 27.367 -0.536 2007 8 29.586 1.957 0 0 29.586 1.957 29.023 1.231 2007 9 26.607 0.764 0 0 26.607 0.764 27.224 1.217 2007 10 22.127 1.021 0 0 22.127 1.021 22.558 1.288 2007 11 16.519 0.291 0 0 16.519 0.291 17.746 1.353 2007 12 NaN NaN NaN NaN NaN NaN 15.361 2.447 2008 1 NaN NaN NaN NaN NaN NaN 11.026 -0.389 2008 2 NaN NaN NaN NaN NaN NaN 14.652 1.888 2008 3 NaN NaN NaN NaN NaN NaN 16.976 0.803 2008 4 NaN NaN NaN NaN NaN NaN 20.656 0.530 2008 5 NaN NaN NaN NaN NaN NaN 24.569 0.828 2008 6 NaN NaN NaN NaN NaN NaN 28.195 1.449 2008 7 NaN NaN NaN NaN NaN NaN 28.309 0.406 2008 8 NaN NaN NaN NaN NaN NaN 28.002 0.209 2008 9 25.343 -0.500 1 0 NaN NaN 25.844 -0.163 2008 10 19.981 -1.125 1 0 NaN NaN 20.934 -0.336 2008 11 16.791 0.562 0 0 16.791 0.562 17.254 0.862 2008 12 12.753 0.003 0 0 12.753 0.003 13.687 0.773 2009 1 12.229 0.978 0 0 12.229 0.978 12.210 0.795 2009 2 14.881 2.280 0 0 14.881 2.280 15.135 2.371 2009 3 16.556 0.547 0 0 16.556 0.547 16.743 0.571 2009 4 19.878 -0.085 0 0 19.878 -0.085 19.908 -0.218 2009 5 24.579 1.002 0 0 24.579 1.002 24.655 0.914 2009 6 27.587 1.004 0 0 27.587 1.004 28.122 1.376 2009 7 28.785 1.046 0 0 28.785 1.046 29.111 1.209 2009 8 28.995 1.366 0 0 28.995 1.366 28.830 1.038 2009 9 25.722 -0.121 0 0 25.722 -0.121 26.164 0.157 2009 10 21.934 0.827 0 0 21.934 0.827 21.890 0.620 2009 11 16.981 0.752 0 0 16.981 0.752 17.113 0.720 2009 12 10.139 -2.611 0 0 10.139 -2.611 10.870 -2.044 2010 1 8.962 -2.289 0 0 8.962 -2.289 9.446 -1.969 2010 2 8.688 -3.912 0 0 8.688 -3.912 8.624 -4.141 2010 3 13.948 -2.060 0 0 13.948 -2.060 14.109 -2.063 2010 4 20.107 0.144 0 0 20.107 0.144 20.246 0.120 2010 5 25.480 1.903 0 0 25.480 1.903 25.501 1.760 2010 6 28.817 2.234 0 0 28.817 2.234 28.833 2.087 2010 7 28.713 0.975 0 0 28.713 0.975 28.571 0.668 2010 8 29.659 2.030 0 0 29.659 2.030 29.723 1.931 2010 9 27.256 1.413 1 0 NaN NaN 27.779 1.772 2010 10 22.527 1.421 0 0 22.527 1.421 22.209 0.938 2010 11 16.733 0.505 0 0 16.733 0.505 17.063 0.670 2010 12 11.584 -1.166 0 0 11.584 -1.166 12.659 -0.254 2011 1 9.585 -1.666 0 0 9.585 -1.666 10.084 -1.332 2011 2 10.907 -1.694 0 0 10.907 -1.694 11.594 -1.170 2011 3 18.041 2.033 0 0 18.041 2.033 18.151 1.979 2011 4 22.356 2.393 0 0 22.356 2.393 22.384 2.258 2011 5 23.747 0.170 0 0 23.747 0.170 24.150 0.409 2011 6 28.520 1.938 0 0 28.520 1.938 29.023 2.276 2011 7 28.998 1.259 0 0 28.998 1.259 29.268 1.366 2011 8 30.111 2.482 0 0 30.111 2.482 30.456 2.663 2011 9 25.924 0.081 0 0 25.924 0.081 26.696 0.689 2011 10 21.482 0.376 0 0 21.482 0.376 21.351 0.081 2011 11 16.861 0.632 0 0 16.861 0.632 17.478 1.086 2011 12 12.203 -0.547 0 0 12.203 -0.547 13.063 0.150 2012 1 14.711 3.460 0 0 14.711 3.460 14.492 3.077 2012 2 14.073 1.472 0 0 14.073 1.472 14.223 1.459 2012 3 20.145 4.137 0 0 20.145 4.137 20.055 3.883 2012 4 22.350 2.387 0 0 22.350 2.387 22.212 2.085 2012 5 25.333 1.756 0 0 25.333 1.756 25.037 1.296 2012 6 27.917 1.334 0 0 27.917 1.334 28.041 1.294 2012 7 28.156 0.417 0 0 28.156 0.417 27.929 0.027 2012 8 28.701 1.072 0 0 28.701 1.072 28.765 0.973 2012 9 26.406 0.562 0 0 26.406 0.562 26.683 0.676 2012 10 21.841 0.734 0 0 21.841 0.734 21.493 0.223 2012 11 16.300 0.071 0 0 16.300 0.071 17.144 0.752 2012 12 14.615 1.865 0 0 14.615 1.865 15.427 2.514 2013 1 12.305 1.053 0 0 12.305 1.053 12.418 1.003 2013 2 14.623 2.022 0 0 14.623 2.022 14.379 1.614 2013 3 15.018 -0.991 0 0 15.018 -0.991 15.125 -1.047 2013 4 18.657 -1.305 0 0 18.657 -1.305 18.859 -1.268 2013 5 22.867 -0.710 0 0 22.867 -0.710 23.009 -0.732 2013 6 28.128 1.545 0 0 28.128 1.545 28.205 1.458 2013 7 27.869 0.130 0 0 27.869 0.130 28.035 0.133 2013 8 28.027 0.398 0 0 28.027 0.398 28.574 0.781 2013 9 27.326 1.483 0 0 27.326 1.483 27.953 1.946 2013 10 22.661 1.555 0 0 22.661 1.555 22.355 1.085 2013 11 18.888 2.660 1 0 NaN NaN NaN NaN