% This file contains a station summary listing for a temperature 
% station in the Berkeley Earth database.  This station is identified as: 
% 
%    Berkeley ID#:  27823
%    Primary Name:  GIRARD
%    Record Type:   TAVG
%    Country:       United States
%    State:         LA
%    Latitude:        32.46670 +/- 0.00005
%    Longitude:      -91.80000 +/- 0.00005
%    Elevation (m): 24.08 +/- 0.15
%    # of Months:   18
%
%    Alternate Names: Missing Station ID - 163630
%
%    IDs: coop - 163630
%         ghcnd - USC00163630
%         ncdc - 20009015
%
%    Sources: US Cooperative Summary of the Day
%             Global Historical Climatology Network - Daily
%             Multi-network Metadata System
% 
%    Site Hash:     179fc9cf6ef5f9158858ed2e27812cd2
%    Raw Data Hash: 88e390189ea1d2fcc6c287effa5370e3
%    Adj Data Hash: 290e8b01d39b5a2b87682fb0683e1efe
% 
% 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
 
  1892     5         NaN       NaN     NaN       NaN           NaN       NaN      21.944    -0.601
  1892     6         NaN       NaN     NaN       NaN           NaN       NaN      25.980    -0.321
  1892     7         NaN       NaN     NaN       NaN           NaN       NaN      26.605    -1.219
  1892     8         NaN       NaN     NaN       NaN           NaN       NaN      26.165    -1.102
  1892     9         NaN       NaN     NaN       NaN           NaN       NaN      22.408    -1.943
  1892    10         NaN       NaN     NaN       NaN           NaN       NaN      18.377     0.274
  1892    11         NaN       NaN     NaN       NaN           NaN       NaN      12.293    -0.123
  1892    12         NaN       NaN     NaN       NaN           NaN       NaN       7.596    -0.719
  1893     1         NaN       NaN     NaN       NaN           NaN       NaN       5.149    -1.561
  1893     2         NaN       NaN     NaN       NaN           NaN       NaN       9.786     0.955
  1893     3         NaN       NaN     NaN       NaN           NaN       NaN      11.763    -1.339
  1893     4         NaN       NaN     NaN       NaN           NaN       NaN      20.088     1.898
  1893     5      19.438    -2.190       0         0        19.438    -2.190      21.796    -0.749
  1893     6      22.935    -2.449       0         0        22.935    -2.449      26.038    -0.262
  1893     7      28.571     1.663       0         0        28.571     1.663      27.775    -0.049
  1893     8      27.218     0.867       0         0        27.218     0.867      26.123    -1.144
  1893     9      22.708    -0.726       0         0        22.708    -0.726      23.779    -0.572
  1893    10      15.552    -1.635       0         0        15.552    -1.635      16.259    -1.844
  1893    11       9.605    -1.894       0         0         9.605    -1.894      11.387    -1.028
  1893    12     -17.778   -25.176       1         0           NaN       NaN       9.348     1.033
  1894     1     -17.778   -23.570       1         0           NaN       NaN       8.697     1.988
  1894     2     -17.778   -25.692       1         0           NaN       NaN       6.758    -2.073
  1894     3      14.673     2.488       0         0        14.673     2.488      14.362     1.260
  1894     4      18.517     1.245       0         0        18.517     1.245      18.820     0.631
  1894     5     -17.778   -39.406       1         0           NaN       NaN      22.269    -0.275
  1894     6       3.333   -22.051       1         0           NaN       NaN      25.117    -1.184
  1894     7      24.621    -2.287       0         0        24.621    -2.287      25.965    -1.859
  1894     8      -0.376   -26.727       1         0           NaN       NaN      25.768    -1.498
  1894     9      22.338    -1.096       0         0        22.338    -1.096      23.954    -0.397
  1894    10         NaN       NaN     NaN       NaN           NaN       NaN      17.413    -0.690
  1894    11         NaN       NaN     NaN       NaN           NaN       NaN      11.101    -1.314
  1894    12         NaN       NaN     NaN       NaN           NaN       NaN       8.716     0.402
  1895     1       6.481     0.689       1         0           NaN       NaN       5.249    -1.460
  1895     2         NaN       NaN     NaN       NaN           NaN       NaN       2.437    -6.394
  1895     3         NaN       NaN     NaN       NaN           NaN       NaN      12.857    -0.245
  1895     4         NaN       NaN     NaN       NaN           NaN       NaN      18.322     0.133
  1895     5         NaN       NaN     NaN       NaN           NaN       NaN      21.187    -1.358
  1895     6         NaN       NaN     NaN       NaN           NaN       NaN      26.093    -0.208
  1895     7         NaN       NaN     NaN       NaN           NaN       NaN      27.065    -0.759
  1895     8         NaN       NaN     NaN       NaN           NaN       NaN      26.700    -0.567
  1895     9         NaN       NaN     NaN       NaN           NaN       NaN      26.322     1.971
  1895    10         NaN       NaN     NaN       NaN           NaN       NaN      14.842    -3.261
  1895    11         NaN       NaN     NaN       NaN           NaN       NaN      11.748    -0.667
  1895    12         NaN       NaN     NaN       NaN           NaN       NaN       8.060    -0.255
  1896     1         NaN       NaN     NaN       NaN           NaN       NaN       5.796    -0.913