% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27957 % Primary Name: MINDEN-WEBSTER AIRPO % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.64600 +/- 0.00050 % Longitude: -93.29800 +/- 0.00050 % Elevation (m): 85.00 +/- 0.05 % # of Months: 41 % % IDs: gsod - 720739-99999 % icao - KMNE % usaf - 720739 % % Sources: Global Summary of the Day % % Site Hash: a1a367342904b178348632490a05b328 % Raw Data Hash: 02af4d094de789ab7054ee13c79a3afe % Adj Data Hash: d36c7a0b5f929a35256bd1ac29e5c55f % % 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 2009 6 NaN NaN NaN NaN NaN NaN 27.549 1.600 2009 7 NaN NaN NaN NaN NaN NaN 27.769 -0.069 2009 8 NaN NaN NaN NaN NaN NaN 26.751 -0.652 2009 9 NaN NaN NaN NaN NaN NaN 24.240 0.001 2009 10 NaN NaN NaN NaN NaN NaN 16.459 -1.619 2009 11 NaN NaN NaN NaN NaN NaN 13.952 1.704 2009 12 NaN NaN NaN NaN NaN NaN 6.307 -1.894 2010 1 NaN NaN NaN NaN NaN NaN 4.885 -1.834 2010 2 NaN NaN NaN NaN NaN NaN 4.821 -4.085 2010 3 NaN NaN NaN NaN NaN NaN 11.674 -1.304 2010 4 NaN NaN NaN NaN NaN NaN 18.904 0.995 2010 5 NaN NaN NaN NaN NaN NaN 24.129 2.025 2010 6 30.211 3.807 1 0 NaN NaN 29.313 3.364 2010 7 28.229 -0.063 0 0 28.229 -0.063 28.931 1.093 2010 8 29.774 1.917 0 0 29.774 1.917 30.172 2.769 2010 9 26.652 1.959 0 0 26.652 1.959 26.565 2.326 2010 10 19.172 0.640 0 0 19.172 0.640 18.861 0.784 2010 11 13.654 0.952 0 0 13.654 0.952 13.251 1.003 2010 12 8.586 -0.070 0 0 8.586 -0.070 7.272 -0.929 2011 1 6.651 -0.523 0 0 6.651 -0.523 5.588 -1.131 2011 2 10.325 0.965 0 0 10.325 0.965 9.314 0.407 2011 3 15.541 2.109 0 0 15.541 2.109 14.328 1.349 2011 4 20.998 2.635 0 0 20.998 2.635 20.318 2.409 2011 5 22.362 -0.197 0 0 22.362 -0.197 22.119 0.014 2011 6 30.034 3.631 1 0 NaN NaN 29.600 3.651 2011 7 30.287 1.994 0 0 30.287 1.994 30.493 2.655 2011 8 31.704 3.847 0 0 31.704 3.847 31.174 3.771 2011 9 24.907 0.214 0 0 24.907 0.214 24.392 0.153 2011 10 18.783 0.251 0 0 18.783 0.251 17.873 -0.205 2011 11 14.694 1.992 0 0 14.694 1.992 14.143 1.895 2011 12 8.948 0.292 0 0 8.948 0.292 8.313 0.112 2012 1 10.996 3.823 0 0 10.996 3.823 9.692 2.973 2012 2 13.466 4.105 1 0 NaN NaN 10.728 1.822 2012 3 18.846 5.413 0 0 18.846 5.413 18.295 5.317 2012 4 19.583 1.220 0 0 19.583 1.220 19.746 1.837 2012 5 24.059 1.500 0 0 24.059 1.500 24.103 1.998 2012 6 27.224 0.821 1 0 NaN NaN 27.356 1.407 2012 7 27.948 -0.344 0 0 27.948 -0.344 28.994 1.156 2012 8 27.814 -0.044 0 0 27.814 -0.044 28.100 0.697 2012 9 24.710 0.017 0 0 24.710 0.017 25.033 0.794 2012 10 17.676 -0.856 0 0 17.676 -0.856 17.196 -0.881 2012 11 12.902 0.200 0 0 12.902 0.200 12.344 0.097 2012 12 11.792 3.137 0 0 11.792 3.137 10.878 2.677 2013 1 9.523 2.350 0 0 9.523 2.350 8.219 1.500 2013 2 10.200 0.840 0 0 10.200 0.840 9.166 0.260 2013 3 12.464 -0.969 0 0 12.464 -0.969 11.082 -1.896 2013 4 17.515 -0.848 0 0 17.515 -0.848 16.894 -1.015 2013 5 21.896 -0.663 0 0 21.896 -0.663 21.370 -0.734 2013 6 26.540 0.136 1 0 NaN NaN 26.900 0.950 2013 7 NaN NaN NaN NaN NaN NaN 26.973 -0.865 2013 8 29.367 1.510 1 0 NaN NaN 28.051 0.648 2013 9 26.737 2.044 0 0 26.737 2.044 26.623 2.385 2013 10 19.072 0.540 0 0 19.072 0.540 18.714 0.637 2013 11 15.370 2.668 1 0 NaN NaN NaN NaN