% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25991 % Primary Name: DATA BUOY 42361 % Record Type: TAVG % Country: United States % State: LA % Latitude: 27.55000 +/- 0.00050 % Longitude: -92.48300 +/- 0.00050 % Elevation (m): 37.00 +/- 0.05 % # of Months: 50 % % IDs: gsod - 997848-99999 % icao - EB034 % usaf - 997848 % % Sources: Global Summary of the Day % % Site Hash: 72d706a9d34d5abe3a55e875a6bf4d9e % Raw Data Hash: 3e4ef73468fb71eb784b3cdba8e1db69 % Adj Data Hash: 35b43c7fb7b95179b8399196622f0b2f % % 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 2007 7 NaN NaN NaN NaN NaN NaN 28.826 0.183 2007 8 NaN NaN NaN NaN NaN NaN 29.914 1.140 2007 9 NaN NaN NaN NaN NaN NaN 28.873 1.145 2007 10 NaN NaN NaN NaN NaN NaN 25.606 1.304 2007 11 NaN NaN NaN NaN NaN NaN 22.165 1.178 2007 12 NaN NaN NaN NaN NaN NaN 20.946 2.561 2008 1 NaN NaN NaN NaN NaN NaN 16.630 -0.182 2008 2 NaN NaN NaN NaN NaN NaN 18.904 1.823 2008 3 NaN NaN NaN NaN NaN NaN 19.547 0.507 2008 4 NaN NaN NaN NaN NaN NaN 22.330 0.599 2008 5 NaN NaN NaN NaN NaN NaN 25.468 0.841 2008 6 NaN NaN NaN NaN NaN NaN 28.656 1.219 2008 7 28.818 -0.449 1 0 NaN NaN 29.103 0.460 2008 8 28.894 -0.504 0 0 28.857 -0.542 28.744 -0.031 2008 9 27.068 -1.284 1 0 NaN NaN 27.757 0.029 2008 10 NaN NaN NaN NaN NaN NaN 24.156 -0.146 2008 11 NaN NaN NaN NaN NaN NaN 21.407 0.419 2008 12 NaN NaN NaN NaN NaN NaN 19.689 1.304 2009 1 NaN NaN NaN NaN NaN NaN 17.885 1.073 2009 2 19.378 1.673 1 0 NaN NaN 18.707 1.626 2009 3 21.330 1.666 0 0 21.293 1.629 20.348 1.309 2009 4 22.646 0.291 0 0 22.609 0.254 21.744 0.013 2009 5 25.217 -0.035 1 0 NaN NaN 25.285 0.657 2009 6 28.271 0.210 1 0 NaN NaN 28.546 1.109 2009 7 29.672 0.405 0 0 29.635 0.368 29.506 0.863 2009 8 29.887 0.488 0 0 29.850 0.451 29.496 0.722 2009 9 28.913 0.560 0 0 28.876 0.523 28.643 0.914 2009 10 26.324 1.398 0 0 26.287 1.361 25.451 1.149 2009 11 21.876 0.264 0 0 21.839 0.227 21.168 0.181 2009 12 19.057 0.047 0 0 19.020 0.010 17.611 -0.774 2010 1 16.333 -1.103 0 0 16.296 -1.140 14.291 -2.521 2010 2 15.518 -2.188 0 0 15.481 -2.225 13.265 -3.817 2010 3 17.964 -1.700 0 0 17.927 -1.737 16.611 -2.428 2010 4 21.381 -0.974 0 0 21.344 -1.011 21.558 -0.173 2010 5 28.049 2.797 1 0 NaN NaN 26.158 1.530 2010 6 30.489 2.427 1 0 NaN NaN 29.554 2.117 2010 7 NaN NaN NaN NaN NaN NaN 29.582 0.939 2010 8 NaN NaN NaN NaN NaN NaN 30.339 1.565 2010 9 NaN NaN NaN NaN NaN NaN 29.430 1.701 2010 10 27.222 2.296 1 0 NaN NaN 24.889 0.586 2010 11 23.245 1.633 1 0 NaN NaN 21.945 0.958 2010 12 NaN NaN NaN NaN NaN NaN 16.609 -1.777 2011 1 NaN NaN NaN NaN NaN NaN 15.177 -1.635 2011 2 NaN NaN NaN NaN NaN NaN 15.344 -1.737 2011 3 NaN NaN NaN NaN NaN NaN 20.702 1.663 2011 4 NaN NaN NaN NaN NaN NaN 23.485 1.755 2011 5 25.806 0.553 0 2 25.831 0.579 24.913 0.285 2011 6 28.431 0.370 0 0 28.457 0.396 28.946 1.509 2011 7 29.826 0.559 0 0 29.852 0.584 29.616 0.973 2011 8 31.022 1.623 0 0 31.047 1.648 30.881 2.107 2011 9 28.776 0.423 0 0 28.801 0.449 28.177 0.449 2011 10 26.651 1.725 1 0 NaN NaN 24.203 -0.099 2011 11 22.661 1.049 0 0 22.686 1.075 21.885 0.898 2011 12 20.450 1.440 0 0 20.475 1.465 19.295 0.909 2012 1 18.561 1.125 1 0 NaN NaN 18.897 2.085 2012 2 19.813 2.108 1 0 NaN NaN 18.276 1.195 2012 3 22.700 3.037 0 0 22.726 3.062 22.332 3.293 2012 4 23.931 1.575 0 0 23.956 1.601 23.516 1.786 2012 5 26.333 1.081 0 0 26.359 1.107 26.005 1.377 2012 6 28.724 0.663 1 0 NaN NaN 28.614 1.177 2012 7 29.651 0.383 0 0 29.676 0.409 29.500 0.857 2012 8 30.014 0.616 0 0 30.040 0.641 29.662 0.888 2012 9 28.088 -0.264 0 0 28.114 -0.239 28.453 0.725 2012 10 26.294 1.367 0 0 26.319 1.393 24.940 0.638 2012 11 22.885 1.273 0 0 22.911 1.299 21.352 0.365 2012 12 22.657 3.647 1 0 NaN NaN 20.159 1.773 2013 1 NaN NaN NaN NaN NaN NaN 18.090 1.279 2013 2 NaN NaN NaN NaN NaN NaN 18.353 1.272 2013 3 NaN NaN NaN NaN NaN NaN 17.730 -1.310 2013 4 22.361 0.006 1 0 NaN NaN 21.275 -0.456 2013 5 24.376 -0.876 0 0 24.402 -0.850 23.962 -0.666 2013 6 28.857 0.796 0 0 28.883 0.821 29.046 1.609 2013 7 29.139 -0.128 0 0 29.164 -0.103 28.971 0.328 2013 8 31.266 1.867 1 0 NaN NaN 29.307 0.533 2013 9 29.759 1.406 1 0 NaN NaN 29.146 1.417 2013 10 26.396 1.469 0 0 26.421 1.495 25.563 1.261 2013 11 23.290 1.678 1 0 NaN NaN NaN NaN