% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26990 % Primary Name: ELDORADO 10W % Record Type: TAVG % Country: United States % State: TX % Latitude: 30.81920 +/- 0.00005 % Longitude: -100.75720 +/- 0.00005 % Elevation (m): 743.71 +/- 0.15 % # of Months: 93 % % Alternate Names: ELDORADO 10 W % Missing Station ID - 412816 % % IDs: coop - 412816 % ghcnd - USC00412816 % ncdc - 30001447 % nws - ELQT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a5cdb866bdcb9a9f181533bce16a6a57 % Raw Data Hash: 93a35855d6dc8c0b077f6cc351dcc9b9 % Adj Data Hash: efda274e6eb4f5c12e471701dd7ec997 % % 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 2002 3 NaN NaN NaN NaN NaN NaN 12.491 -1.238 2002 4 NaN NaN NaN NaN NaN NaN 21.084 2.333 2002 5 NaN NaN NaN NaN NaN NaN 23.712 1.105 2002 6 NaN NaN NaN NaN NaN NaN 27.107 0.655 2002 7 NaN NaN NaN NaN NaN NaN 26.608 -1.501 2002 8 NaN NaN NaN NaN NaN NaN 28.601 0.997 2002 9 NaN NaN NaN NaN NaN NaN 24.363 0.129 2002 10 NaN NaN NaN NaN NaN NaN 17.880 -0.732 2002 11 NaN NaN NaN NaN NaN NaN 10.842 -1.384 2002 12 NaN NaN NaN NaN NaN NaN 8.640 0.329 2003 1 NaN NaN NaN NaN NaN NaN 7.170 0.223 2003 2 NaN NaN NaN NaN NaN NaN 8.296 -1.057 2003 3 13.889 1.171 0 0 13.902 1.184 14.128 0.398 2003 4 18.333 0.593 0 0 18.346 0.606 19.907 1.155 2003 5 24.222 2.626 0 0 24.235 2.639 24.779 2.172 2003 6 24.833 -0.608 0 0 24.846 -0.595 25.858 -0.595 2003 7 25.444 -1.654 0 0 25.457 -1.641 27.994 -0.115 2003 8 26.833 0.241 0 0 26.846 0.254 28.586 0.982 2003 9 21.833 -1.390 0 0 21.846 -1.377 23.297 -0.937 2003 10 18.056 0.455 0 0 18.068 0.468 19.399 0.788 2003 11 12.778 1.563 0 0 12.791 1.576 13.596 1.369 2003 12 9.444 2.144 0 0 9.457 2.157 9.661 1.350 2004 1 7.000 1.063 0 0 7.013 1.076 9.212 2.265 2004 2 7.444 -0.898 0 0 7.457 -0.885 7.957 -1.397 2004 3 15.556 2.837 0 0 15.568 2.850 16.426 2.697 2004 4 16.338 -1.403 1 0 NaN NaN 18.120 -0.631 2004 5 20.024 -1.573 1 0 NaN NaN 22.904 0.296 2004 6 25.389 -0.053 0 0 25.402 -0.040 26.348 -0.104 2004 7 NaN NaN NaN NaN NaN NaN 27.152 -0.957 2004 8 24.930 -1.663 1 0 NaN NaN 26.232 -1.371 2004 9 22.667 -0.556 0 0 22.680 -0.544 23.853 -0.381 2004 10 19.167 1.566 1 0 NaN NaN 20.897 2.285 2004 11 12.833 1.618 0 0 12.846 1.631 12.774 0.548 2004 12 7.667 0.366 0 0 7.680 0.379 8.425 0.114 2005 1 9.444 3.508 0 0 9.457 3.521 9.950 3.002 2005 2 8.889 0.546 0 0 8.902 0.559 10.022 0.669 2005 3 12.556 -0.163 0 0 12.568 -0.150 13.259 -0.470 2005 4 NaN NaN NaN NaN NaN NaN 18.355 -0.397 2005 5 22.400 0.803 1 0 NaN NaN 21.790 -0.818 2005 6 24.722 -0.719 0 0 24.735 -0.706 26.804 0.351 2005 7 NaN NaN NaN NaN NaN NaN 28.152 0.043 2005 8 NaN NaN NaN NaN NaN NaN 26.906 -0.697 2005 9 25.222 1.999 0 0 25.235 2.012 26.480 2.246 2005 10 18.222 0.622 0 0 18.235 0.635 18.836 0.225 2005 11 13.667 2.452 0 0 13.680 2.464 14.348 2.122 2005 12 7.389 0.089 0 0 7.402 0.101 8.153 -0.158 2006 1 10.222 4.286 0 0 10.235 4.298 11.003 4.055 2006 2 8.579 0.237 1 0 NaN NaN 9.595 0.241 2006 3 15.500 2.782 0 0 15.513 2.795 16.070 2.341 2006 4 20.389 2.649 0 0 20.402 2.661 21.779 3.028 2006 5 NaN NaN NaN NaN NaN NaN 24.251 1.644 2006 6 NaN NaN NaN NaN NaN NaN 27.503 1.051 2006 7 NaN NaN NaN NaN NaN NaN 28.791 0.681 2006 8 NaN NaN NaN NaN NaN NaN 29.684 2.081 2006 9 NaN NaN NaN NaN NaN NaN 23.507 -0.727 2006 10 18.500 0.899 0 0 18.513 0.912 19.483 0.872 2006 11 14.569 3.354 1 0 NaN NaN 14.334 2.108 2006 12 7.111 -0.189 0 0 7.124 -0.176 9.014 0.702 2007 1 2.853 -3.084 1 0 NaN NaN 4.548 -2.399 2007 2 6.438 -1.904 1 0 NaN NaN 8.968 -0.385 2007 3 15.222 2.504 0 0 15.235 2.517 16.159 2.430 2007 4 14.944 -2.796 0 0 14.957 -2.783 16.799 -1.952 2007 5 21.111 -0.485 0 0 21.124 -0.473 21.345 -1.263 2007 6 24.056 -1.386 0 0 24.068 -1.373 25.500 -0.953 2007 7 24.278 -2.820 0 0 24.291 -2.808 25.503 -2.606 2007 8 25.556 -1.037 0 0 25.568 -1.024 27.272 -0.332 2007 9 23.444 0.221 0 0 23.457 0.234 24.955 0.721 2007 10 19.167 1.566 0 0 19.180 1.579 20.394 1.782 2007 11 12.944 1.729 0 0 12.957 1.742 13.846 1.620 2007 12 8.111 0.811 0 1 8.099 0.798 9.150 0.839 2008 1 6.000 0.063 0 0 5.987 0.051 6.872 -0.076 2008 2 10.000 1.657 0 0 9.987 1.645 11.076 1.722 2008 3 12.778 0.060 0 0 12.765 0.047 14.091 0.362 2008 4 17.167 -0.574 0 0 17.154 -0.586 18.872 0.121 2008 5 23.000 1.403 0 0 22.987 1.391 23.831 1.224 2008 6 27.500 2.059 0 0 27.487 2.046 29.038 2.586 2008 7 26.222 -0.876 0 0 26.210 -0.889 28.002 -0.107 2008 8 26.000 -0.593 0 0 25.987 -0.605 27.347 -0.256 2008 9 21.667 -1.556 0 0 21.654 -1.569 23.054 -1.180 2008 10 17.944 0.344 0 0 17.932 0.331 18.614 0.003 2008 11 11.778 0.563 0 0 11.765 0.550 13.192 0.966 2008 12 7.611 0.311 0 0 7.599 0.298 8.826 0.515 2009 1 7.389 1.452 0 0 7.376 1.440 7.994 1.047 2009 2 11.611 3.268 0 0 11.599 3.256 12.511 3.158 2009 3 13.722 1.004 0 0 13.710 0.991 15.383 1.654 2009 4 16.944 -0.796 0 0 16.932 -0.808 18.460 -0.291 2009 5 22.111 0.515 0 0 22.099 0.502 22.848 0.240 2009 6 27.167 1.725 0 0 27.154 1.713 28.494 2.042 2009 7 27.167 0.068 0 0 27.154 0.056 28.660 0.551 2009 8 27.264 0.671 1 0 NaN NaN 28.849 1.245 2009 9 22.000 -1.223 0 0 21.987 -1.236 23.152 -1.082 2009 10 18.167 0.566 0 0 18.154 0.554 17.562 -1.050 2009 11 13.364 2.149 1 0 NaN NaN 13.351 1.125 2009 12 4.611 -2.689 0 0 4.599 -2.702 5.908 -2.403 2010 1 5.833 -0.103 0 0 5.821 -0.116 6.568 -0.380 2010 2 6.000 -2.343 0 0 5.987 -2.355 6.001 -3.353 2010 3 11.278 -1.440 0 0 11.265 -1.453 12.280 -1.449 2010 4 16.667 -1.074 0 0 16.654 -1.086 18.423 -0.328 2010 5 22.111 0.515 0 0 22.099 0.502 23.099 0.492 2010 6 27.556 2.114 0 0 27.543 2.102 28.461 2.008 2010 7 25.944 -1.154 0 0 25.932 -1.166 27.519 -0.590 2010 8 28.333 1.741 0 0 28.321 1.728 29.775 2.171 2010 9 24.944 1.721 0 0 24.932 1.709 25.340 1.106 2010 10 18.833 1.233 0 0 18.821 1.220 19.430 0.818 2010 11 13.278 2.063 0 0 13.265 2.050 13.492 1.266 2010 12 8.725 1.425 1 0 NaN NaN 9.246 0.935 2011 1 6.833 0.897 0 0 6.821 0.884 6.327 -0.621 2011 2 8.278 -0.065 0 0 8.265 -0.077 8.794 -0.559 2011 3 17.389 4.671 0 0 17.376 4.658 16.530 2.801 2011 4 21.667 3.926 0 0 21.654 3.914 22.467 3.716 2011 5 23.389 1.792 0 0 23.376 1.780 23.746 1.138 2011 6 29.056 3.614 0 0 29.043 3.602 30.334 3.882 2011 7 29.690 2.592 1 0 NaN NaN 31.092 2.983 2011 8 29.794 3.201 1 0 NaN NaN 31.510 3.906 2011 9 NaN NaN NaN NaN NaN NaN 25.794 1.560 2011 10 NaN NaN NaN NaN NaN NaN 19.298 0.686 2011 11 NaN NaN NaN NaN NaN NaN 13.230 1.004 2011 12 NaN NaN NaN NaN NaN NaN 7.540 -0.771 2012 1 NaN NaN NaN NaN NaN NaN 9.044 2.096 2012 2 NaN NaN NaN NaN NaN NaN 10.334 0.981 2012 3 NaN NaN NaN NaN NaN NaN 16.283 2.553 2012 4 NaN NaN NaN NaN NaN NaN 21.778 3.027 2012 5 NaN NaN NaN NaN NaN NaN 24.020 1.413 2012 6 NaN NaN NaN NaN NaN NaN 28.274 1.821 2012 7 NaN NaN NaN NaN NaN NaN 28.767 0.658 2012 8 NaN NaN NaN NaN NaN NaN 29.167 1.564