% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26309 % Primary Name: TERREBONNE BAY % Record Type: TAVG % Country: United States % State: LA % Latitude: 29.16700 +/- 0.00050 % Longitude: -90.58300 +/- 0.00050 % Elevation (m): 14.00 +/- 0.05 % # of Months: 32 % % IDs: gsod - 994850-99999 % icao - TRBL1 % usaf - 994850 % % Sources: Global Summary of the Day % % Site Hash: 403e0f50cd472d44d26ba4918b897bb9 % Raw Data Hash: cdc493c06f3a002eb58fccb0cee4c191 % Adj Data Hash: ac0eef8cba7584271099dae649067810 % % 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 6 NaN NaN NaN NaN NaN NaN 27.762 0.788 2007 7 NaN NaN NaN NaN NaN NaN 27.886 -0.008 2007 8 NaN NaN NaN NaN NaN NaN 29.411 1.726 2007 9 NaN NaN NaN NaN NaN NaN 27.533 1.593 2007 10 NaN NaN NaN NaN NaN NaN 21.943 1.316 2007 11 NaN NaN NaN NaN NaN NaN 17.110 1.298 2007 12 NaN NaN NaN NaN NaN NaN 15.735 3.093 2008 1 NaN NaN NaN NaN NaN NaN 10.969 -0.561 2008 2 NaN NaN NaN NaN NaN NaN 14.541 1.558 2008 3 NaN NaN NaN NaN NaN NaN 16.903 0.308 2008 4 NaN NaN NaN NaN NaN NaN 21.016 0.483 2008 5 NaN NaN NaN NaN NaN NaN 24.756 0.675 2008 6 28.198 0.799 1 0 NaN NaN 28.209 1.236 2008 7 28.659 0.340 0 0 28.659 0.340 28.565 0.670 2008 8 27.651 -0.459 1 0 NaN NaN 27.759 0.074 2008 9 NaN NaN NaN NaN NaN NaN 26.110 0.170 2008 10 NaN NaN NaN NaN NaN NaN 20.364 -0.263 2008 11 NaN NaN NaN NaN NaN NaN 15.780 -0.032 2008 12 NaN NaN NaN NaN NaN NaN 14.512 1.871 2009 1 NaN NaN NaN NaN NaN NaN 12.499 0.969 2009 2 NaN NaN NaN NaN NaN NaN 14.357 1.374 2009 3 NaN NaN NaN NaN NaN NaN 18.363 1.768 2009 4 NaN NaN NaN NaN NaN NaN 20.614 0.081 2009 5 NaN NaN NaN NaN NaN NaN 25.001 0.920 2009 6 NaN NaN NaN NaN NaN NaN 28.568 1.594 2009 7 NaN NaN NaN NaN NaN NaN 28.674 0.780 2009 8 28.383 0.273 1 0 NaN NaN 27.969 0.283 2009 9 27.506 1.141 0 2 27.506 1.141 27.230 1.290 2009 10 23.206 2.155 0 0 23.206 2.155 21.725 1.098 2009 11 17.318 1.081 0 0 17.318 1.081 15.862 0.050 2009 12 12.273 -0.793 0 0 12.273 -0.793 11.716 -0.926 2010 1 10.878 -1.077 0 0 10.878 -1.077 8.609 -2.921 2010 2 9.561 -3.847 1 0 NaN NaN 8.360 -4.623 2010 3 12.744 -4.276 0 0 12.744 -4.276 14.164 -2.431 2010 4 21.290 0.332 0 0 21.290 0.332 21.084 0.550 2010 5 26.058 1.552 0 0 26.058 1.552 26.126 2.045 2010 6 29.061 1.663 0 0 29.061 1.663 29.236 2.263 2010 7 28.070 -0.249 0 0 28.070 -0.249 29.087 1.192 2010 8 29.209 1.099 0 0 29.209 1.099 29.327 1.642 2010 9 27.850 1.485 0 0 27.850 1.485 27.863 1.923 2010 10 22.467 1.416 0 0 22.467 1.416 21.188 0.561 2010 11 18.636 2.400 0 0 18.636 2.400 16.912 1.100 2010 12 11.197 -1.869 0 0 11.197 -1.869 10.408 -2.234 2011 1 10.128 -1.826 0 0 10.128 -1.826 9.679 -1.851 2011 2 11.122 -2.286 1 0 NaN NaN 12.239 -0.744 2011 3 16.418 -0.602 1 0 NaN NaN 18.920 2.325 2011 4 16.526 -4.432 1 0 NaN NaN 22.841 2.308 2011 5 20.672 -3.833 1 0 NaN NaN 24.416 0.335 2011 6 28.501 1.103 1 0 NaN NaN 29.250 2.276 2011 7 28.656 0.337 1 0 NaN NaN 28.689 0.795 2011 8 30.157 2.047 1 0 NaN NaN 30.010 2.324 2011 9 24.360 -2.005 1 0 NaN NaN 25.726 -0.214 2011 10 20.851 -0.201 0 0 20.851 -0.201 19.723 -0.904 2011 11 16.275 0.039 0 0 16.275 0.039 17.106 1.294 2011 12 17.045 3.979 1 0 NaN NaN 13.610 0.968 2012 1 NaN NaN NaN NaN NaN NaN 14.531 3.001 2012 2 NaN NaN NaN NaN NaN NaN 15.011 2.027 2012 3 NaN NaN NaN NaN NaN NaN 20.900 4.304 2012 4 NaN NaN NaN NaN NaN NaN 22.191 1.658 2012 5 NaN NaN NaN NaN NaN NaN 25.654 1.573 2012 6 NaN NaN NaN NaN NaN NaN 27.954 0.981 2012 7 NaN NaN NaN NaN NaN NaN 28.237 0.342 2012 8 NaN NaN NaN NaN NaN NaN 27.867 0.181 2012 9 NaN NaN NaN NaN NaN NaN 26.843 0.902 2012 10 NaN NaN NaN NaN NaN NaN 20.543 -0.084 2012 11 NaN NaN NaN NaN NaN NaN 15.419 -0.393 2012 12 NaN NaN NaN NaN NaN NaN 14.885 2.243