% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27867 % Primary Name: WATERS BLUFF % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.52500 +/- 0.00005 % Longitude: -95.13060 +/- 0.00005 % Elevation (m): 153.62 +/- 0.15 % # of Months: 75 % % Alternate Names: Missing Station ID - 419503 % % IDs: coop - 419503 % ghcnd - USC00419503 % ncdc - 30001214 % nws - WTRT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 98e761b28b46c5350c361c15c0219b68 % Raw Data Hash: 163d1cdfa173c71c0cdd3362c71e90b4 % Adj Data Hash: 59b0af89ee78c436af933762dc85771d % % 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 2000 11 NaN NaN NaN NaN NaN NaN 10.520 -1.889 2000 12 NaN NaN NaN NaN NaN NaN 3.886 -4.346 2001 1 NaN NaN NaN NaN NaN NaN 4.725 -1.808 2001 2 NaN NaN NaN NaN NaN NaN 10.031 1.154 2001 3 NaN NaN NaN NaN NaN NaN 10.751 -2.233 2001 4 NaN NaN NaN NaN NaN NaN 19.997 2.020 2001 5 NaN NaN NaN NaN NaN NaN 23.124 0.900 2001 6 NaN NaN NaN NaN NaN NaN 25.921 -0.265 2001 7 NaN NaN NaN NaN NaN NaN 29.285 0.963 2001 8 NaN NaN NaN NaN NaN NaN 28.579 0.638 2001 9 NaN NaN NaN NaN NaN NaN 23.391 -1.110 2001 10 NaN NaN NaN NaN NaN NaN 17.214 -1.303 2001 11 15.722 2.954 0 0 15.722 2.954 15.042 2.633 2001 12 10.333 1.742 0 0 10.333 1.742 10.080 1.848 2002 1 8.833 1.940 0 0 8.833 1.940 7.842 1.308 2002 2 8.167 -1.069 0 0 8.167 -1.069 7.266 -1.611 2002 3 12.333 -1.010 0 0 12.333 -1.010 11.226 -1.758 2002 4 15.150 -3.187 1 0 NaN NaN 19.953 1.976 2002 5 20.550 -2.034 1 0 NaN NaN 22.140 -0.084 2002 6 26.425 -0.120 1 0 NaN NaN 26.367 0.181 2002 7 27.897 -0.784 1 0 NaN NaN 28.372 0.050 2002 8 28.444 0.144 0 0 28.444 0.144 28.543 0.602 2002 9 25.611 0.750 0 0 25.611 0.750 25.936 1.434 2002 10 18.222 -0.654 0 0 18.222 -0.654 18.176 -0.340 2002 11 11.778 -0.991 0 0 11.778 -0.991 11.409 -1.000 2002 12 9.611 1.019 0 0 9.611 1.019 8.722 0.490 2003 1 6.889 -0.004 0 0 6.889 -0.004 5.968 -0.566 2003 2 8.000 -1.236 0 0 8.000 -1.236 7.506 -1.371 2003 3 13.611 0.268 0 0 13.611 0.268 12.775 -0.208 2003 4 19.611 1.274 0 0 19.611 1.274 18.451 0.473 2003 5 24.333 1.750 0 0 24.333 1.750 23.514 1.290 2003 6 25.222 -1.323 0 0 25.222 -1.323 25.545 -0.641 2003 7 28.333 -0.348 0 0 28.333 -0.348 28.420 0.098 2003 8 28.944 0.644 0 0 28.944 0.644 28.845 0.904 2003 9 23.556 -1.305 0 0 23.556 -1.305 23.697 -0.804 2003 10 20.889 2.013 0 0 20.889 2.013 19.736 1.219 2003 11 16.389 3.620 0 0 16.389 3.620 15.061 2.652 2003 12 9.667 1.075 0 0 9.667 1.075 8.540 0.308 2004 1 8.833 1.940 0 0 8.833 1.940 7.788 1.254 2004 2 7.556 -1.680 0 0 7.556 -1.680 6.644 -2.232 2004 3 16.444 3.101 0 0 16.444 3.101 15.898 2.914 2004 4 19.167 0.830 0 0 19.167 0.830 18.102 0.125 2004 5 23.389 0.805 0 0 23.389 0.805 22.998 0.773 2004 6 24.700 -1.845 1 0 NaN NaN 25.870 -0.316 2004 7 NaN NaN NaN NaN NaN NaN 27.421 -0.902 2004 8 NaN NaN NaN NaN NaN NaN 26.480 -1.461 2004 9 24.162 -0.698 1 0 NaN NaN 24.943 0.441 2004 10 21.739 2.863 1 0 NaN NaN 22.004 3.488 2004 11 15.167 2.398 0 0 15.167 2.398 14.263 1.854 2004 12 8.035 -0.557 1 0 NaN NaN 8.409 0.177 2005 1 12.083 5.190 1 0 NaN NaN 9.214 2.680 2005 2 7.575 -1.661 1 0 NaN NaN 10.495 1.618 2005 3 14.337 0.993 1 0 NaN NaN 12.743 -0.241 2005 4 NaN NaN NaN NaN NaN NaN 17.664 -0.314 2005 5 22.263 -0.321 0 0 22.263 -0.321 21.900 -0.325 2005 6 27.162 0.617 1 0 NaN NaN 27.682 1.496 2005 7 NaN NaN NaN NaN NaN NaN 28.443 0.121 2005 8 29.533 1.233 1 0 NaN NaN 29.505 1.564 2005 9 27.576 2.715 0 0 27.576 2.715 27.557 3.055 2005 10 16.945 -1.931 1 0 NaN NaN 18.760 0.243 2005 11 14.608 1.840 0 0 14.608 1.840 15.158 2.749 2005 12 7.500 -1.092 0 0 7.500 -1.092 7.792 -0.441 2006 1 NaN NaN NaN NaN NaN NaN 10.781 4.247 2006 2 8.056 -1.180 0 0 8.056 -1.180 7.705 -1.172 2006 3 14.944 1.601 0 0 14.944 1.601 14.817 1.833 2006 4 20.944 2.608 0 0 20.944 2.608 21.047 3.069 2006 5 23.167 0.583 0 0 23.167 0.583 23.254 1.030 2006 6 26.444 -0.101 0 0 26.444 -0.101 26.553 0.367 2006 7 28.667 -0.015 0 0 28.667 -0.015 29.265 0.943 2006 8 30.222 1.922 0 0 30.222 1.922 30.067 2.126 2006 9 24.222 -0.639 0 0 24.222 -0.639 23.799 -0.703 2006 10 19.167 0.291 0 0 19.167 0.291 18.430 -0.087 2006 11 13.444 0.676 0 0 13.444 0.676 13.309 0.900 2006 12 9.667 1.075 0 0 9.667 1.075 9.382 1.150 2007 1 6.222 -0.671 1 0 NaN NaN 5.538 -0.996 2007 2 9.056 -0.180 0 0 9.056 -0.180 7.957 -0.920 2007 3 17.611 4.268 0 0 17.611 4.268 16.493 3.509 2007 4 16.500 -1.837 0 0 16.500 -1.837 15.939 -2.038 2007 5 22.222 -0.361 0 0 22.222 -0.361 22.576 0.352 2007 6 25.722 -0.823 0 0 25.722 -0.823 26.415 0.229 2007 7 25.833 -2.848 0 0 25.833 -2.848 26.477 -1.845 2007 8 28.333 0.033 0 0 28.333 0.033 29.062 1.121 2007 9 25.556 0.695 0 0 25.556 0.695 25.632 1.131 2007 10 20.444 1.568 0 0 20.444 1.568 20.076 1.559 2007 11 12.217 -0.552 1 0 NaN NaN 14.257 1.847 2007 12 9.611 1.019 0 0 9.611 1.019 9.781 1.549 2008 1 6.556 -0.337 1 0 NaN NaN 6.032 -0.501 2008 2 10.500 1.264 0 0 10.500 1.264 10.045 1.168 2008 3 14.889 1.546 0 0 14.889 1.546 13.897 0.913 2008 4 19.293 0.956 1 0 NaN NaN 17.642 -0.335 2008 5 22.444 -0.139 0 0 22.444 -0.139 22.168 -0.056 2008 6 27.331 0.785 1 0 NaN NaN 27.422 1.236 2008 7 NaN NaN NaN NaN NaN NaN 28.780 0.458 2008 8 NaN NaN NaN NaN NaN NaN 27.679 -0.262 2008 9 NaN NaN NaN NaN NaN NaN 23.173 -1.328 2008 10 NaN NaN NaN NaN NaN NaN 17.865 -0.651 2008 11 NaN NaN NaN NaN NaN NaN 12.599 0.190 2008 12 NaN NaN NaN NaN NaN NaN 8.250 0.018 2009 1 NaN NaN NaN NaN NaN NaN 6.783 0.250 2009 2 NaN NaN NaN NaN NaN NaN 11.560 2.683 2009 3 NaN NaN NaN NaN NaN NaN 13.443 0.459 2009 4 NaN NaN NaN NaN NaN NaN 17.009 -0.969 2009 5 NaN NaN NaN NaN NaN NaN 21.837 -0.387 2009 6 NaN NaN NaN NaN NaN NaN 27.693 1.507