% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27930 % Primary Name: KAUFMAN 13 ENE % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.61390 +/- 0.00005 % Longitude: -96.13940 +/- 0.00005 % Elevation (m): 153.01 +/- 0.15 % # of Months: 60 % % Alternate Names: KAUFMAN 13ENE % Missing Station ID - 414708 % % IDs: coop - 414708 % ghcnd - USC00414708 % ncdc - 30001358 % nws - KFNT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d38bf3b3911c2ecc0c8b9a8f5d3f1b2c % Raw Data Hash: a71bddc9ef8c2fd4f5bc58e92c0ea1d4 % Adj Data Hash: 02140c1d8002a47b5c784be13f308c9d % % 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 2001 9 NaN NaN NaN NaN NaN NaN 23.724 -1.518 2001 10 NaN NaN NaN NaN NaN NaN 18.172 -1.050 2001 11 NaN NaN NaN NaN NaN NaN 15.049 2.410 2001 12 NaN NaN NaN NaN NaN NaN 9.751 1.504 2002 1 NaN NaN NaN NaN NaN NaN 7.700 1.434 2002 2 NaN NaN NaN NaN NaN NaN 7.400 -1.439 2002 3 NaN NaN NaN NaN NaN NaN 11.327 -1.761 2002 4 NaN NaN NaN NaN NaN NaN 19.993 1.773 2002 5 NaN NaN NaN NaN NaN NaN 22.173 -0.330 2002 6 NaN NaN NaN NaN NaN NaN 26.879 -0.061 2002 7 NaN NaN NaN NaN NaN NaN 28.559 -0.795 2002 8 NaN NaN NaN NaN NaN NaN 29.218 0.201 2002 9 25.556 0.173 0 0 25.279 -0.103 26.035 0.794 2002 10 18.278 -1.085 0 0 18.002 -1.361 18.049 -1.173 2002 11 12.389 -0.391 0 0 12.113 -0.667 11.784 -0.855 2002 12 10.222 1.835 0 0 9.946 1.559 8.824 0.578 2003 1 7.889 1.482 0 0 7.613 1.206 5.840 -0.426 2003 2 7.778 -1.202 0 0 7.502 -1.479 7.285 -1.554 2003 3 13.611 0.382 0 0 13.335 0.106 12.546 -0.542 2003 4 19.222 0.861 0 0 18.946 0.585 18.956 0.736 2003 5 24.500 1.856 0 0 24.224 1.579 23.778 1.274 2003 6 25.833 -1.248 0 0 25.557 -1.524 26.062 -0.878 2003 7 28.778 -0.717 0 0 28.502 -0.993 29.713 0.359 2003 8 29.556 0.398 0 0 29.279 0.122 29.927 0.910 2003 9 23.833 -1.549 0 0 23.557 -1.826 23.560 -1.682 2003 10 20.278 0.915 0 0 20.002 0.639 20.338 1.116 2003 11 15.944 3.165 0 0 15.668 2.888 14.724 2.085 2003 12 9.833 1.446 0 0 9.557 1.170 9.443 1.197 2004 1 9.667 3.260 0 0 9.390 2.983 8.174 1.908 2004 2 7.611 -1.369 0 0 7.335 -1.645 6.839 -2.000 2004 3 16.556 3.327 0 0 16.279 3.050 15.766 2.678 2004 4 19.111 0.750 0 0 18.835 0.474 18.633 0.413 2004 5 23.111 0.467 0 0 22.835 0.191 23.100 0.596 2004 6 25.722 -1.359 0 0 25.446 -1.635 26.104 -0.837 2004 7 27.778 -1.717 0 0 27.502 -1.993 27.961 -1.393 2004 8 27.000 -2.158 0 0 26.724 -2.434 26.986 -2.031 2004 9 24.889 -0.494 0 0 24.613 -0.770 25.253 0.011 2004 10 22.111 2.748 0 0 21.835 2.472 21.759 2.537 2004 11 14.833 2.053 0 0 14.557 1.777 13.565 0.926 2004 12 NaN NaN NaN NaN NaN NaN 8.680 0.433 2005 1 NaN NaN NaN NaN NaN NaN 8.730 2.464 2005 2 NaN NaN NaN NaN NaN NaN 10.404 1.565 2005 3 NaN NaN NaN NaN NaN NaN 12.658 -0.430 2005 4 15.425 -2.936 1 0 NaN NaN 17.880 -0.340 2005 5 17.913 -4.732 1 0 NaN NaN 21.976 -0.527 2005 6 NaN NaN NaN NaN NaN NaN 28.313 1.373 2005 7 27.833 -1.662 0 1 28.366 -1.129 28.761 -0.593 2005 8 28.833 -0.325 0 0 29.366 0.208 29.532 0.515 2005 9 27.611 2.228 0 0 28.144 2.761 28.071 2.829 2005 10 20.800 1.437 1 0 NaN NaN 19.713 0.492 2005 11 14.278 1.498 0 0 14.810 2.031 15.192 2.553 2005 12 6.889 -1.499 0 0 7.422 -0.966 8.038 -0.208 2006 1 11.000 4.593 0 0 11.533 5.126 11.327 5.061 2006 2 8.354 -0.626 0 0 8.887 -0.094 8.536 -0.303 2006 3 18.600 5.371 1 0 NaN NaN 15.433 2.345 2006 4 NaN NaN NaN NaN NaN NaN 21.560 3.340 2006 5 NaN NaN NaN NaN NaN NaN 24.001 1.498 2006 6 NaN NaN NaN NaN NaN NaN 28.117 1.176 2006 7 NaN NaN NaN NaN NaN NaN 30.535 1.181 2006 8 30.838 1.680 1 0 NaN NaN 31.588 2.572 2006 9 NaN NaN NaN NaN NaN NaN 24.639 -0.603 2006 10 NaN NaN NaN NaN NaN NaN 19.499 0.277 2006 11 NaN NaN NaN NaN NaN NaN 13.687 1.049 2006 12 NaN NaN NaN NaN NaN NaN 9.502 1.255 2007 1 NaN NaN NaN NaN NaN NaN 4.657 -1.609 2007 2 9.224 0.244 0 0 9.757 0.776 8.289 -0.550 2007 3 15.500 2.271 1 0 NaN NaN 16.667 3.579 2007 4 15.472 -2.889 1 0 NaN NaN 16.098 -2.123 2007 5 22.310 -0.334 0 0 22.843 0.199 22.563 0.060 2007 6 25.514 -1.567 1 0 NaN NaN 26.328 -0.612 2007 7 26.140 -3.355 1 0 NaN NaN 27.187 -2.167 2007 8 28.320 -0.838 0 0 28.853 -0.305 29.492 0.475 2007 9 25.354 -0.029 1 0 NaN NaN 26.037 0.795 2007 10 20.215 0.852 0 0 20.747 1.384 20.578 1.356 2007 11 13.084 0.304 1 0 NaN NaN 14.665 2.026 2007 12 8.300 -0.088 0 0 8.833 0.445 8.671 0.425 2008 1 7.092 0.685 0 0 7.625 1.218 6.053 -0.213 2008 2 11.116 2.135 1 0 NaN NaN 10.062 1.223 2008 3 13.006 -0.223 1 0 NaN NaN 13.633 0.545 2008 4 18.067 -0.294 1 0 NaN NaN 17.756 -0.464 2008 5 22.575 -0.069 0 0 23.108 0.463 22.834 0.331 2008 6 27.083 0.002 1 0 NaN NaN 28.569 1.629 2008 7 28.562 -0.932 1 0 NaN NaN 29.945 0.591 2008 8 26.975 -2.183 1 0 NaN NaN 28.731 -0.286 2008 9 20.845 -4.538 1 0 NaN NaN 23.817 -1.425 2008 10 18.112 -1.251 1 0 NaN NaN 19.002 -0.220 2008 11 NaN NaN NaN NaN NaN NaN 13.652 1.013 2008 12 NaN NaN NaN NaN NaN NaN 8.119 -0.127 2009 1 NaN NaN NaN NaN NaN NaN 6.944 0.678 2009 2 NaN NaN NaN NaN NaN NaN 12.246 3.407 2009 3 NaN NaN NaN NaN NaN NaN 13.971 0.884 2009 4 NaN NaN NaN NaN NaN NaN 17.448 -0.772 2009 5 NaN NaN NaN NaN NaN NaN 22.092 -0.411 2009 6 NaN NaN NaN NaN NaN NaN 28.481 1.540 2009 7 NaN NaN NaN NaN NaN NaN 29.661 0.307 2009 8 NaN NaN NaN NaN NaN NaN 29.019 0.002 2009 9 NaN NaN NaN NaN NaN NaN 24.003 -1.239 2009 10 NaN NaN NaN NaN NaN NaN 16.790 -2.432