% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27953 % Primary Name: YUMA MCAS YUMA INTL % Record Type: TAVG % Country: United States % State: AZ % Latitude: 32.63525 +/- 0.01975 % Longitude: -114.60000 +/- 0.00500 % Elevation (m): 65.00 +/- 0.05 % # of Months: 86 % % Alternate Names: YUMA MCAS % % IDs: gsod - 722801-99999 % gsod - 740035-99999 % icao - KNYL % icao - KYUM % usaf - 722801 % usaf - 740035 % % Sources: Global Summary of the Day % % Site Hash: ebdfaa6c1029a7e9e29d1ed16d89cffe % Raw Data Hash: d2ab0b959232edbe2c510223ca93d8b2 % Adj Data Hash: 8f675365962f5ddbb905052f0a40be1d % % 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 2003 7 NaN NaN NaN NaN NaN NaN 35.086 1.459 2003 8 NaN NaN NaN NaN NaN NaN 33.388 0.568 2003 9 NaN NaN NaN NaN NaN NaN 31.907 2.082 2003 10 NaN NaN NaN NaN NaN NaN 27.459 4.127 2003 11 NaN NaN NaN NaN NaN NaN 15.332 -0.902 2003 12 NaN NaN NaN NaN NaN NaN 12.282 0.355 2004 1 NaN NaN NaN NaN NaN NaN 12.762 1.110 2004 2 NaN NaN NaN NaN NaN NaN 13.083 -1.090 2004 3 NaN NaN NaN NaN NaN NaN 21.597 4.920 2004 4 NaN NaN NaN NaN NaN NaN 21.797 1.453 2004 5 NaN NaN NaN NaN NaN NaN 26.710 1.783 2004 6 NaN NaN NaN NaN NaN NaN 30.458 0.509 2004 7 35.485 0.611 1 0 NaN NaN 34.254 0.628 2004 8 34.498 0.430 0 0 34.431 0.363 33.040 0.220 2004 9 31.272 0.200 0 0 31.205 0.133 30.214 0.390 2004 10 23.801 -0.778 0 0 23.734 -0.845 22.635 -0.696 2004 11 16.520 -0.962 0 0 16.453 -1.029 14.780 -1.454 2004 12 14.116 0.941 0 0 14.049 0.874 12.240 0.313 2005 1 15.159 2.259 0 0 15.092 2.192 13.276 1.624 2005 2 16.024 0.603 0 0 15.957 0.536 14.403 0.230 2005 3 19.057 1.133 0 0 18.990 1.066 16.733 0.057 2005 4 22.230 0.639 0 0 22.163 0.572 20.562 0.219 2005 5 27.423 1.248 0 0 27.356 1.181 26.197 1.270 2005 6 30.965 -0.232 0 0 30.898 -0.299 30.075 0.126 2005 7 35.378 0.504 0 0 35.311 0.436 35.117 1.490 2005 8 33.871 -0.197 0 0 33.804 -0.264 32.750 -0.070 2005 9 31.331 0.259 0 0 31.264 0.192 30.506 0.682 2005 10 25.265 0.686 0 0 25.198 0.619 24.179 0.847 2005 11 19.769 2.286 0 0 19.701 2.219 18.131 1.896 2005 12 14.602 1.427 0 0 14.535 1.360 12.756 0.829 2006 1 14.629 1.729 0 0 14.562 1.662 12.972 1.320 2006 2 16.855 1.434 0 0 16.788 1.367 15.544 1.371 2006 3 16.973 -0.951 0 0 16.906 -1.018 15.230 -1.447 2006 4 21.778 0.187 0 0 21.711 0.120 20.483 0.140 2006 5 28.385 2.210 0 0 28.318 2.143 27.166 2.239 2006 6 34.059 2.862 0 0 33.992 2.795 33.046 3.097 2006 7 36.009 1.134 0 0 35.942 1.067 35.680 2.054 2006 8 34.391 0.323 0 0 34.324 0.256 33.124 0.304 2006 9 30.972 -0.100 0 0 30.905 -0.167 29.773 -0.051 2006 10 24.452 -0.128 0 0 24.385 -0.195 23.252 -0.079 2006 11 20.048 2.566 0 0 19.981 2.499 18.358 2.123 2006 12 13.593 0.418 0 0 13.526 0.351 11.710 -0.218 2007 1 11.468 -1.432 1 0 NaN NaN 10.764 -0.888 2007 2 NaN NaN NaN NaN NaN NaN 15.089 0.916 2007 3 NaN NaN NaN NaN NaN NaN 19.088 2.411 2007 4 NaN NaN NaN NaN NaN NaN 21.511 1.168 2007 5 NaN NaN NaN NaN NaN NaN 26.351 1.424 2007 6 NaN NaN NaN NaN NaN NaN 30.919 0.970 2007 7 NaN NaN NaN NaN NaN NaN 34.421 0.794 2007 8 NaN NaN NaN NaN NaN NaN 34.132 1.312 2007 9 NaN NaN NaN NaN NaN NaN 30.417 0.592 2007 10 NaN NaN NaN NaN NaN NaN 23.895 0.563 2007 11 NaN NaN NaN NaN NaN NaN 19.225 2.991 2007 12 NaN NaN NaN NaN NaN NaN 10.727 -1.201 2008 1 NaN NaN NaN NaN NaN NaN 11.507 -0.146 2008 2 NaN NaN NaN NaN NaN NaN 14.365 0.192 2008 3 NaN NaN NaN NaN NaN NaN 18.016 1.339 2008 4 NaN NaN NaN NaN NaN NaN 21.676 1.332 2008 5 NaN NaN NaN NaN NaN NaN 24.365 -0.562 2008 6 NaN NaN NaN NaN NaN NaN 32.121 2.171 2008 7 NaN NaN NaN NaN NaN NaN 34.446 0.820 2008 8 NaN NaN NaN NaN NaN NaN 33.237 0.417 2008 9 NaN NaN NaN NaN NaN NaN 31.775 1.951 2008 10 NaN NaN NaN NaN NaN NaN 24.768 1.437 2008 11 NaN NaN NaN NaN NaN NaN 18.791 2.557 2008 12 NaN NaN NaN NaN NaN NaN 11.917 -0.010 2009 1 17.383 4.483 1 0 NaN NaN 14.094 2.441 2009 2 15.913 0.492 0 2 15.949 0.528 14.625 0.452 2009 3 19.256 1.332 0 0 19.292 1.368 17.637 0.960 2009 4 21.717 0.126 0 0 21.753 0.162 20.334 -0.009 2009 5 29.720 3.546 0 0 29.756 3.582 28.473 3.546 2009 6 29.772 -1.425 0 0 29.808 -1.389 29.067 -0.882 2009 7 36.075 1.201 0 0 36.111 1.237 35.902 2.275 2009 8 34.498 0.430 0 0 34.534 0.466 33.525 0.705 2009 9 32.381 1.309 0 0 32.418 1.345 31.961 2.136 2009 10 23.486 -1.094 0 0 23.522 -1.058 22.427 -0.905 2009 11 18.959 1.477 0 0 18.995 1.513 17.976 1.741 2009 12 13.048 -0.127 0 0 13.084 -0.091 11.140 -0.788 2010 1 14.815 1.915 0 0 14.851 1.951 13.186 1.534 2010 2 15.696 0.276 0 0 15.732 0.312 14.571 0.398 2010 3 18.305 0.380 0 0 18.341 0.416 16.190 -0.487 2010 4 20.561 -1.030 0 0 20.597 -0.994 19.311 -1.032 2010 5 24.885 -1.290 0 0 24.921 -1.254 23.703 -1.224 2010 6 31.231 0.035 0 0 31.268 0.071 30.329 0.380 2010 7 34.944 0.070 0 0 34.980 0.106 34.912 1.286 2010 8 34.663 0.595 0 0 34.699 0.631 33.370 0.550 2010 9 32.593 1.520 0 0 32.629 1.556 31.743 1.918 2010 10 24.524 -0.055 0 0 24.560 -0.019 23.928 0.597 2010 11 17.846 0.364 0 0 17.882 0.400 16.291 0.056 2010 12 15.276 2.101 0 0 15.312 2.137 13.961 2.034 2011 1 14.573 1.673 0 0 14.610 1.709 12.548 0.895 2011 2 13.688 -1.732 0 0 13.725 -1.696 12.295 -1.878 2011 3 19.996 2.072 0 0 20.032 2.108 18.122 1.446 2011 4 23.319 1.728 0 0 23.355 1.764 21.724 1.381 2011 5 24.785 -1.390 0 0 24.821 -1.354 23.609 -1.318 2011 6 31.367 0.170 0 0 31.403 0.206 30.246 0.297 2011 7 34.616 -0.258 0 0 34.653 -0.222 34.205 0.578 2011 8 36.022 1.954 0 0 36.058 1.990 35.050 2.230 2011 9 32.372 1.300 0 0 32.408 1.336 31.793 1.969 2011 10 25.761 1.181 0 0 25.797 1.217 25.026 1.695 2011 11 17.504 0.021 0 0 17.540 0.058 15.967 -0.268 2011 12 11.857 -1.319 0 0 11.893 -1.283 10.374 -1.553 2012 1 15.504 2.603 0 0 15.540 2.639 13.704 2.051 2012 2 15.874 0.453 0 0 15.910 0.489 14.667 0.494 2012 3 18.692 0.767 0 0 18.728 0.803 17.070 0.394 2012 4 23.352 1.761 0 0 23.388 1.797 22.022 1.678 2012 5 28.665 2.490 0 0 28.701 2.526 27.210 2.283 2012 6 32.691 1.494 0 0 32.727 1.530 31.715 1.766 2012 7 33.858 -1.016 0 0 33.894 -0.980 33.538 -0.089 2012 8 34.746 0.678 0 0 34.782 0.714 33.904 1.084 2012 9 32.322 1.250 0 0 32.358 1.286 31.510 1.686 2012 10 25.697 1.118 0 0 25.733 1.154 24.881 1.550 2012 11 19.783 2.301 0 0 19.819 2.337 18.481 2.247 2012 12 14.443 1.267 0 0 14.479 1.303 12.545 0.617 2013 1 12.848 -0.053 0 0 12.884 -0.017 10.918 -0.734 2013 2 14.915 -0.506 0 0 14.951 -0.470 13.125 -1.048 2013 3 21.269 3.345 0 0 21.305 3.381 19.613 2.937 2013 4 23.804 2.213 0 0 23.840 2.249 22.286 1.943 2013 5 27.961 1.786 0 0 27.997 1.822 26.535 1.608 2013 6 33.111 1.914 0 0 33.147 1.950 32.316 2.367 2013 7 34.663 -0.212 0 0 34.699 -0.176 34.587 0.960 2013 8 NaN NaN NaN NaN NaN NaN 32.876 0.056 2013 9 NaN NaN NaN NaN NaN NaN 30.308 0.483 2013 10 NaN NaN NaN NaN NaN NaN 22.081 -1.250