% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26746 % Primary Name: MOSS BLUFF 2 NNW % Record Type: TAVG % Country: United States % State: LA % Latitude: 30.33920 +/- 0.00005 % Longitude: -93.21500 +/- 0.00005 % Elevation (m): 7.62 +/- 0.15 % # of Months: 71 % % Alternate Names: Missing Station ID - 166434 % % IDs: coop - 166434 % ghcnd - USC00166434 % ncdc - 30014181 % nws - MBLL1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 09f57644d5695ab724cf8f0ab9dff80f % Raw Data Hash: e6ed343494e2a71085f14d3e7e7f0117 % Adj Data Hash: b2150c742897d11e73178d371507f361 % % 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 1 NaN NaN NaN NaN NaN NaN 11.660 0.025 2007 2 NaN NaN NaN NaN NaN NaN 11.711 -1.163 2007 3 NaN NaN NaN NaN NaN NaN 18.375 2.155 2007 4 NaN NaN NaN NaN NaN NaN 19.149 -1.027 2007 5 NaN NaN NaN NaN NaN NaN 24.065 0.346 2007 6 NaN NaN NaN NaN NaN NaN 27.448 0.812 2007 7 NaN NaN NaN NaN NaN NaN 27.341 -0.225 2007 8 NaN NaN NaN NaN NaN NaN 28.952 1.519 2007 9 NaN NaN NaN NaN NaN NaN 27.172 1.337 2007 10 NaN NaN NaN NaN NaN NaN 22.344 1.394 2007 11 NaN NaN NaN NaN NaN NaN 17.670 1.359 2007 12 NaN NaN NaN NaN NaN NaN 15.865 2.783 2008 1 9.889 -0.946 0 0 9.889 -0.946 11.092 -0.543 2008 2 14.333 2.259 0 0 14.333 2.259 14.799 1.925 2008 3 16.278 0.858 0 0 16.278 0.858 16.890 0.670 2008 4 19.667 0.290 0 0 19.667 0.290 20.626 0.450 2008 5 24.111 1.192 0 0 24.111 1.192 24.359 0.640 2008 6 27.500 1.665 0 0 27.500 1.665 28.002 1.367 2008 7 27.889 1.123 0 0 27.889 1.123 28.174 0.608 2008 8 27.611 0.978 0 0 27.611 0.978 27.687 0.254 2008 9 24.389 -0.646 0 0 24.389 -0.646 25.822 -0.013 2008 10 18.833 -1.316 0 0 18.833 -1.316 20.548 -0.402 2008 11 14.722 -0.788 0 0 14.722 -0.788 16.545 0.235 2008 12 12.556 0.274 0 0 12.556 0.274 14.476 1.394 2009 1 11.389 0.554 0 0 11.389 0.554 12.548 0.912 2009 2 14.000 1.925 0 0 14.000 1.925 14.563 1.688 2009 3 16.222 0.802 0 0 16.222 0.802 17.410 1.189 2009 4 19.278 -0.099 0 0 19.278 -0.099 20.079 -0.098 2009 5 23.833 0.914 0 0 23.833 0.914 24.521 0.801 2009 6 27.556 1.720 0 0 27.556 1.720 28.178 1.543 2009 7 28.278 1.512 0 0 28.278 1.512 28.548 0.982 2009 8 27.833 1.200 0 0 27.833 1.200 28.101 0.667 2009 9 25.111 0.076 0 0 25.111 0.076 26.699 0.864 2009 10 20.722 0.573 0 0 20.722 0.573 21.804 0.854 2009 11 14.667 -0.843 0 0 14.667 -0.843 16.735 0.424 2009 12 9.333 -2.948 0 0 9.333 -2.948 11.638 -1.444 2010 1 8.222 -2.613 0 0 8.222 -2.613 9.255 -2.380 2010 2 7.833 -4.241 0 0 7.833 -4.241 8.506 -4.369 2010 3 13.056 -2.365 0 0 13.056 -2.365 13.874 -2.346 2010 4 20.167 0.790 0 0 20.167 0.790 20.747 0.571 2010 5 25.333 2.414 0 0 25.333 2.414 25.868 2.148 2010 6 28.111 2.276 0 0 28.111 2.276 29.015 2.380 2010 7 28.389 1.623 0 0 28.389 1.623 28.643 1.077 2010 8 29.444 2.811 0 0 29.444 2.811 29.286 1.853 2010 9 27.000 1.965 0 0 27.000 1.965 27.752 1.917 2010 10 20.722 0.573 0 0 20.722 0.573 21.570 0.620 2010 11 15.056 -0.455 0 0 15.056 -0.455 17.152 0.842 2010 12 10.556 -1.726 0 0 10.556 -1.726 11.439 -1.643 2011 1 9.167 -1.668 0 0 9.167 -1.668 9.817 -1.818 2011 2 11.667 -0.408 0 0 11.667 -0.408 11.821 -1.054 2011 3 17.167 1.747 0 0 17.167 1.747 18.334 2.113 2011 4 21.722 2.346 0 0 21.722 2.346 22.342 2.166 2011 5 23.778 0.859 0 0 23.778 0.859 23.973 0.254 2011 6 28.611 2.776 0 0 28.611 2.776 28.984 2.349 2011 7 28.722 1.957 0 0 28.722 1.957 28.554 0.988 2011 8 29.833 3.200 0 0 29.833 3.200 29.963 2.530 2011 9 24.778 -0.258 0 0 24.778 -0.258 25.813 -0.023 2011 10 19.111 -1.039 0 0 19.111 -1.039 20.268 -0.682 2011 11 15.833 0.323 0 0 15.833 0.323 17.235 0.925 2011 12 11.511 -0.770 0 0 11.511 -0.770 13.447 0.366 2012 1 13.960 3.125 0 0 13.960 3.125 14.644 3.009 2012 2 14.098 2.024 0 0 14.098 2.024 14.569 1.694 2012 3 20.108 4.688 0 0 20.108 4.688 20.407 4.187 2012 4 21.355 1.978 0 0 21.355 1.978 22.016 1.839 2012 5 24.619 1.700 0 0 24.619 1.700 25.244 1.525 2012 6 26.982 1.146 0 0 26.982 1.146 27.838 1.203 2012 7 27.476 0.710 0 0 27.476 0.710 27.933 0.367 2012 8 28.126 1.492 0 0 28.126 1.492 28.090 0.656 2012 9 24.984 -0.052 1 0 NaN NaN 26.677 0.841 2012 10 19.676 -0.474 0 0 19.676 -0.474 20.941 -0.009 2012 11 14.643 -0.867 0 0 14.643 -0.867 16.324 0.013 2012 12 13.666 1.385 0 0 13.666 1.385 15.222 2.141 2013 1 12.155 1.320 0 0 12.155 1.320 12.950 1.315 2013 2 13.598 1.524 0 0 13.598 1.524 14.085 1.210 2013 3 14.277 -1.143 0 0 14.277 -1.143 14.579 -1.642 2013 4 18.622 -0.755 0 0 18.622 -0.755 19.277 -0.899 2013 5 22.781 -0.139 0 0 22.781 -0.139 22.783 -0.936 2013 6 27.680 1.845 0 0 27.680 1.845 28.203 1.568 2013 7 27.695 0.930 0 0 27.695 0.930 27.665 0.100 2013 8 28.132 1.499 0 0 28.132 1.499 28.005 0.572 2013 9 27.012 1.976 0 0 27.012 1.976 27.832 1.997 2013 10 20.639 0.489 0 0 20.639 0.489 22.189 1.239 2013 11 16.680 1.170 1 0 NaN NaN NaN NaN