% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26796 % Primary Name: MAYPORT % Record Type: TAVG % Country: United States % State: FL % Latitude: 30.40000 +/- 0.00050 % Longitude: -81.43300 +/- 0.00050 % Elevation (m): 2.00 +/- 0.05 % # of Months: 69 % % IDs: gsod - 997358-99999 % icao - MYPF1 % usaf - 997358 % % Sources: Global Summary of the Day % % Site Hash: c0190122342a7e0c513bc2d9102cb53b % Raw Data Hash: b71baa6a872946c3ef17042476a92b3b % Adj Data Hash: a1cfb8b579905839bf2534783fb02380 % % 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 2004 3 NaN NaN NaN NaN NaN NaN 18.763 1.001 2004 4 NaN NaN NaN NaN NaN NaN 19.867 -0.733 2004 5 NaN NaN NaN NaN NaN NaN 24.448 0.736 2004 6 NaN NaN NaN NaN NaN NaN 27.262 1.258 2004 7 NaN NaN NaN NaN NaN NaN 27.684 0.583 2004 8 NaN NaN NaN NaN NaN NaN 27.286 0.133 2004 9 NaN NaN NaN NaN NaN NaN 27.447 1.101 2004 10 NaN NaN NaN NaN NaN NaN 23.871 1.255 2004 11 NaN NaN NaN NaN NaN NaN 20.724 2.056 2004 12 NaN NaN NaN NaN NaN NaN 14.764 -0.558 2005 1 NaN NaN NaN NaN NaN NaN 15.560 1.248 2005 2 NaN NaN NaN NaN NaN NaN 15.123 0.297 2005 3 20.039 3.287 1 0 NaN NaN 16.871 -0.891 2005 4 18.409 -1.181 0 0 18.330 -1.261 19.197 -1.404 2005 5 22.393 -0.309 0 0 22.314 -0.388 22.841 -0.871 2005 6 26.406 1.413 0 0 26.327 1.334 26.430 0.426 2005 7 28.267 2.176 0 0 28.188 2.096 28.400 1.298 2005 8 28.552 2.409 0 0 28.473 2.330 28.648 1.495 2005 9 27.829 2.494 1 0 NaN NaN 27.629 1.283 2005 10 25.159 3.553 1 0 NaN NaN 23.175 0.559 2005 11 18.085 0.428 1 0 NaN NaN 20.314 1.646 2005 12 13.065 -1.247 0 0 12.985 -1.326 14.270 -1.052 2006 1 14.903 1.601 0 0 14.824 1.522 15.909 1.596 2006 2 15.623 1.807 1 0 NaN NaN 13.895 -0.932 2006 3 16.918 0.165 1 0 NaN NaN 17.940 0.178 2006 4 21.409 1.819 0 0 21.330 1.739 22.415 1.815 2006 5 23.624 0.922 0 0 23.544 0.843 24.444 0.732 2006 6 26.144 1.151 0 0 26.065 1.072 26.611 0.608 2006 7 27.342 1.251 0 0 27.263 1.172 27.758 0.656 2006 8 27.787 1.644 0 0 27.708 1.565 28.242 1.089 2006 9 26.415 1.079 0 0 26.336 1.000 27.126 0.780 2006 10 22.213 0.607 0 0 22.134 0.528 22.727 0.111 2006 11 16.680 -0.978 0 0 16.600 -1.057 18.348 -0.320 2006 12 16.170 1.858 0 0 16.091 1.779 18.415 3.093 2007 1 14.627 1.325 0 0 14.548 1.246 16.336 2.024 2007 2 13.419 -0.397 0 0 13.339 -0.477 14.082 -0.744 2007 3 17.378 0.626 0 0 17.299 0.547 18.873 1.111 2007 4 19.320 -0.270 0 0 19.241 -0.349 20.285 -0.316 2007 5 22.649 -0.053 0 0 22.570 -0.132 23.430 -0.282 2007 6 25.783 0.790 0 0 25.704 0.711 26.419 0.416 2007 7 27.321 1.229 0 0 27.242 1.150 27.953 0.851 2007 8 28.505 2.363 0 0 28.426 2.284 28.887 1.734 2007 9 26.894 1.559 0 0 26.815 1.479 27.655 1.309 2007 10 24.360 2.754 1 0 NaN NaN 25.294 2.678 2007 11 17.465 -0.193 0 0 17.386 -0.272 19.124 0.456 2007 12 16.314 2.002 0 0 16.235 1.923 18.393 3.071 2008 1 12.686 -0.615 0 0 12.607 -0.695 14.869 0.557 2008 2 15.284 1.468 0 0 15.204 1.388 16.583 1.757 2008 3 17.215 0.463 0 0 17.136 0.384 18.333 0.571 2008 4 19.082 -0.508 0 0 19.003 -0.587 20.669 0.068 2008 5 NaN NaN NaN NaN NaN NaN 24.426 0.714 2008 6 NaN NaN NaN NaN NaN NaN 26.882 0.879 2008 7 NaN NaN NaN NaN NaN NaN 27.242 0.140 2008 8 NaN NaN NaN NaN NaN NaN 27.404 0.251 2008 9 NaN NaN NaN NaN NaN NaN 27.244 0.898 2008 10 NaN NaN NaN NaN NaN NaN 22.406 -0.211 2008 11 NaN NaN NaN NaN NaN NaN 17.224 -1.445 2008 12 NaN NaN NaN NaN NaN NaN 17.368 2.046 2009 1 NaN NaN NaN NaN NaN NaN 14.097 -0.215 2009 2 NaN NaN NaN NaN NaN NaN 13.464 -1.362 2009 3 NaN NaN NaN NaN NaN NaN 18.670 0.908 2009 4 NaN NaN NaN NaN NaN NaN 20.940 0.339 2009 5 NaN NaN NaN NaN NaN NaN 24.529 0.817 2009 6 NaN NaN NaN NaN NaN NaN 27.738 1.734 2009 7 NaN NaN NaN NaN NaN NaN 27.631 0.529 2009 8 NaN NaN NaN NaN NaN NaN 27.923 0.771 2009 9 NaN NaN NaN NaN NaN NaN 27.594 1.248 2009 10 NaN NaN NaN NaN NaN NaN 24.695 2.079 2009 11 NaN NaN NaN NaN NaN NaN 20.061 1.393 2009 12 NaN NaN NaN NaN NaN NaN 16.575 1.253 2010 1 NaN NaN NaN NaN NaN NaN 11.317 -2.995 2010 2 NaN NaN NaN NaN NaN NaN 10.863 -3.963 2010 3 NaN NaN NaN NaN NaN NaN 15.487 -2.275 2010 4 NaN NaN NaN NaN NaN NaN 20.908 0.308 2010 5 NaN NaN NaN NaN NaN NaN 25.533 1.821 2010 6 NaN NaN NaN NaN NaN NaN 28.191 2.187 2010 7 NaN NaN NaN NaN NaN NaN 28.748 1.646 2010 8 NaN NaN NaN NaN NaN NaN 28.784 1.631 2010 9 NaN NaN NaN NaN NaN NaN 27.864 1.518 2010 10 NaN NaN NaN NaN NaN NaN 22.894 0.277 2010 11 NaN NaN NaN NaN NaN NaN 19.297 0.629 2010 12 NaN NaN NaN NaN NaN NaN 10.557 -4.765 2011 1 NaN NaN NaN NaN NaN NaN 12.505 -1.807 2011 2 NaN NaN NaN NaN NaN NaN 15.762 0.935 2011 3 NaN NaN NaN NaN NaN NaN 19.130 1.367 2011 4 NaN NaN NaN NaN NaN NaN 22.582 1.981 2011 5 24.063 1.361 1 0 NaN NaN 24.349 0.637 2011 6 26.615 1.622 0 2 26.699 1.706 27.364 1.360 2011 7 27.204 1.113 0 0 27.289 1.197 27.963 0.861 2011 8 28.287 2.144 0 0 28.371 2.229 28.805 1.652 2011 9 26.280 0.944 0 0 26.364 1.029 27.412 1.066 2011 10 21.570 -0.036 0 0 21.655 0.048 21.860 -0.756 2011 11 18.343 0.685 0 0 18.427 0.769 19.977 1.309 2011 12 16.181 1.869 0 0 16.266 1.954 17.899 2.577 2012 1 14.366 1.064 0 0 14.450 1.148 15.202 0.890 2012 2 15.881 2.065 0 0 15.966 2.150 17.079 2.253 2012 3 20.065 3.312 0 0 20.149 3.397 21.322 3.559 2012 4 21.230 1.639 0 0 21.314 1.724 22.051 1.451 2012 5 23.937 1.235 0 0 24.022 1.320 24.840 1.128 2012 6 25.663 0.670 0 0 25.748 0.754 26.127 0.124 2012 7 27.703 1.611 0 0 27.787 1.696 28.178 1.076 2012 8 25.928 -0.214 0 0 26.013 -0.130 27.254 0.101 2012 9 26.089 0.753 0 0 26.174 0.838 27.075 0.729 2012 10 22.636 1.030 0 0 22.721 1.115 23.496 0.879 2012 11 15.707 -1.950 0 0 15.792 -1.866 17.406 -1.262 2012 12 15.036 0.724 0 0 15.120 0.809 17.128 1.806 2013 1 15.772 2.471 0 0 15.857 2.555 17.812 3.500 2013 2 15.020 1.204 0 0 15.104 1.288 16.089 1.262 2013 3 13.851 -2.901 0 0 13.936 -2.816 15.047 -2.716 2013 4 19.769 0.178 0 0 19.853 0.263 21.434 0.833 2013 5 22.452 -0.250 0 0 22.536 -0.166 23.096 -0.616 2013 6 26.433 1.440 0 0 26.518 1.525 27.160 1.156 2013 7 26.104 0.012 0 0 26.189 0.097 27.029 -0.073 2013 8 27.215 1.072 0 0 27.300 1.157 27.927 0.774 2013 9 26.209 0.873 0 0 26.294 0.958 27.247 0.901 2013 10 22.457 0.851 0 0 22.542 0.936 23.393 0.777 2013 11 20.630 2.973 1 0 NaN NaN NaN NaN