% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27812 % Primary Name: SHREVEPORT WFO % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.45140 +/- 0.00005 % Longitude: -93.84170 +/- 0.00005 % Elevation (m): 83.52 +/- 0.15 % # of Months: 87 % % Alternate Names: Missing Station ID - 168448 % % IDs: coop - 168448 % ghcnd - USC00168448 % ncdc - 30002880 % nws - WFOL1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e266f882334a062074d5043bb045273d % Raw Data Hash: 62bc4626c2db095d151ae6e3b2e67f6a % Adj Data Hash: 567cbd56baa78fb398d567fc7a621ed6 % % 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 2005 9 NaN NaN NaN NaN NaN NaN 27.557 3.055 2005 10 NaN NaN NaN NaN NaN NaN 18.760 0.243 2005 11 NaN NaN NaN NaN NaN NaN 15.158 2.749 2005 12 NaN NaN NaN NaN NaN NaN 7.792 -0.441 2006 1 NaN NaN NaN NaN NaN NaN 10.781 4.247 2006 2 NaN NaN NaN NaN NaN NaN 7.705 -1.172 2006 3 NaN NaN NaN NaN NaN NaN 14.817 1.833 2006 4 NaN NaN NaN NaN NaN NaN 21.047 3.069 2006 5 NaN NaN NaN NaN NaN NaN 23.254 1.030 2006 6 NaN NaN NaN NaN NaN NaN 26.553 0.367 2006 7 NaN NaN NaN NaN NaN NaN 29.265 0.943 2006 8 NaN NaN NaN NaN NaN NaN 30.067 2.126 2006 9 24.556 -0.700 0 0 25.029 -0.226 23.799 -0.703 2006 10 18.778 -0.493 0 0 19.218 -0.053 18.430 -0.087 2006 11 13.556 0.392 0 0 13.809 0.646 13.309 0.900 2006 12 9.778 0.791 0 0 9.987 1.000 9.382 1.150 2007 1 7.278 -0.010 0 0 7.641 0.353 5.538 -0.996 2007 2 8.611 -1.020 0 0 9.068 -0.563 7.957 -0.920 2007 3 17.444 3.707 0 0 17.812 4.074 16.493 3.509 2007 4 16.500 -2.231 0 0 16.756 -1.975 15.939 -2.038 2007 5 23.167 0.188 0 0 23.390 0.412 22.576 0.352 2007 6 26.556 -0.384 0 0 26.749 -0.191 26.415 0.229 2007 7 26.611 -2.465 0 0 26.795 -2.281 26.477 -1.845 2007 8 29.389 0.694 0 1 29.344 0.649 29.062 1.121 2007 9 26.333 1.078 0 0 26.264 1.008 25.632 1.131 2007 10 20.611 1.340 0 0 20.547 1.276 20.076 1.559 2007 11 14.556 1.392 0 0 14.518 1.355 14.257 1.847 2007 12 10.833 1.847 0 0 10.803 1.816 9.781 1.549 2008 1 7.222 -0.065 0 0 7.169 -0.119 6.032 -0.501 2008 2 11.778 2.147 0 0 11.711 2.080 10.045 1.168 2008 3 15.667 1.929 0 0 15.613 1.875 13.897 0.913 2008 4 18.278 -0.454 0 0 18.240 -0.491 17.642 -0.335 2008 5 23.000 0.022 0 0 22.967 -0.011 22.168 -0.056 2008 6 27.278 0.338 0 0 27.249 0.309 27.422 1.236 2008 7 29.222 0.146 0 0 29.195 0.119 28.780 0.458 2008 8 27.833 -0.862 0 0 27.788 -0.907 27.679 -0.262 2008 9 23.389 -1.867 0 0 23.319 -1.936 23.173 -1.328 2008 10 18.667 -0.604 0 0 18.602 -0.669 17.865 -0.651 2008 11 13.111 -0.052 0 0 13.074 -0.089 12.599 0.190 2008 12 9.000 0.014 0 0 8.969 -0.017 8.250 0.018 2009 1 9.111 1.823 0 0 9.058 1.770 6.783 0.250 2009 2 12.556 2.925 0 0 12.489 2.858 11.560 2.683 2009 3 14.556 0.818 0 0 14.502 0.764 13.443 0.459 2009 4 17.667 -1.065 0 0 17.629 -1.102 17.009 -0.969 2009 5 22.722 -0.256 0 0 22.689 -0.289 21.837 -0.387 2009 6 27.389 0.449 0 0 27.360 0.420 27.693 1.507 2009 7 28.611 -0.465 0 0 28.584 -0.492 28.470 0.147 2009 8 27.444 -1.250 0 0 27.399 -1.296 27.284 -0.657 2009 9 24.333 -0.922 0 0 24.264 -0.992 23.714 -0.788 2009 10 17.278 -1.993 0 0 17.213 -2.058 16.607 -1.910 2009 11 14.556 1.392 0 0 14.518 1.355 14.522 2.113 2009 12 7.167 -1.820 0 0 7.136 -1.850 5.912 -2.320 2010 1 6.889 -0.399 0 0 6.836 -0.452 5.129 -1.405 2010 2 6.222 -3.408 0 0 6.155 -3.475 4.830 -4.047 2010 3 12.667 -1.071 0 0 12.613 -1.125 11.494 -1.490 2010 4 19.500 0.769 0 0 19.462 0.731 18.715 0.738 2010 5 25.000 2.022 0 0 24.967 1.989 24.156 1.932 2010 6 29.167 2.227 0 0 29.138 2.198 28.899 2.713 2010 7 28.722 -0.354 0 0 28.695 -0.381 28.863 0.541 2010 8 31.000 2.305 0 0 30.955 2.260 30.668 2.727 2010 9 27.722 2.467 0 0 27.653 2.397 26.212 1.710 2010 10 20.500 1.229 0 0 20.435 1.165 18.720 0.203 2010 11 14.056 0.892 0 0 14.018 0.855 13.592 1.183 2010 12 8.833 -0.153 0 0 8.803 -0.184 7.979 -0.254 2011 1 6.944 -0.343 0 0 6.891 -0.396 5.335 -1.198 2011 2 10.500 0.869 0 0 10.433 0.802 8.851 -0.025 2011 3 15.778 2.040 0 0 15.724 1.986 14.627 1.643 2011 4 21.444 2.713 0 0 21.407 2.675 20.294 2.316 2011 5 23.111 0.133 0 0 23.078 0.100 22.095 -0.130 2011 6 29.833 2.893 0 0 29.805 2.865 29.828 3.642 2011 7 31.278 2.202 0 0 31.251 2.175 31.656 3.334 2011 8 32.944 4.250 0 0 32.899 4.204 32.684 4.743 2011 9 25.778 0.522 0 0 25.708 0.453 25.392 0.890 2011 10 19.944 0.674 0 0 19.880 0.609 18.991 0.475 2011 11 15.000 1.837 0 0 14.963 1.800 13.995 1.586 2011 12 9.352 0.365 0 0 9.321 0.335 8.404 0.171 2012 1 11.934 4.646 0 0 11.881 4.593 9.323 2.790 2012 2 12.674 3.043 0 0 12.607 2.977 10.487 1.611 2012 3 19.366 5.628 0 0 19.312 5.574 17.805 4.821 2012 4 20.683 1.952 0 0 20.646 1.914 20.114 2.136 2012 5 24.700 1.722 0 0 24.667 1.689 24.268 2.043 2012 6 27.897 0.957 0 0 27.868 0.928 27.554 1.368 2012 7 28.906 -0.170 0 0 28.879 -0.197 29.135 0.813 2012 8 28.648 -0.047 0 0 28.603 -0.092 28.493 0.552 2012 9 25.335 0.080 0 0 25.266 0.010 25.443 0.942 2012 10 18.582 -0.688 0 0 18.518 -0.753 18.027 -0.490 2012 11 13.883 0.720 0 0 13.846 0.683 13.325 0.916 2012 12 11.677 2.691 0 0 11.647 2.660 10.455 2.223 2013 1 9.797 2.509 0 0 9.744 2.456 8.252 1.719 2013 2 10.932 1.301 0 0 10.865 1.235 9.412 0.535 2013 3 12.902 -0.836 0 0 12.848 -0.890 11.474 -1.510 2013 4 17.475 -1.256 0 0 17.437 -1.294 16.921 -1.056 2013 5 22.242 -0.736 0 0 22.209 -0.769 21.630 -0.594 2013 6 27.133 0.193 0 0 27.105 0.165 27.287 1.101 2013 7 27.689 -1.387 0 0 27.662 -1.414 27.515 -0.807 2013 8 29.182 0.487 0 0 29.137 0.442 29.092 1.151 2013 9 27.535 2.280 0 0 27.466 2.210 26.950 2.448 2013 10 20.040 0.770 0 0 19.976 0.705 19.027 0.510 2013 11 15.450 2.287 1 0 NaN NaN NaN NaN