% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171078 % Primary Name: NAVAL LIVE OAKS FLORIDA % Record Type: TAVG % Country: United States % State: FL % Latitude: 30.36640 +/- 0.00005 % Longitude: -87.13750 +/- 0.00005 % Elevation (m): 4.60 +/- 0.50 % # of Months: 82 % % IDs: ghcnd - USR0000FNAV % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 81d571120dca68ec1b4b0dde7fc680b3 % Raw Data Hash: 6ccb1d2184b9c70c0f1f3bb17397972a % Adj Data Hash: 021f53a7101a94b2f87cb164f2665a5b % % 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 2 NaN NaN NaN NaN NaN NaN 13.290 -1.224 2002 3 NaN NaN NaN NaN NaN NaN 16.954 0.089 2002 4 NaN NaN NaN NaN NaN NaN 22.358 2.316 2002 5 NaN NaN NaN NaN NaN NaN 24.160 0.642 2002 6 NaN NaN NaN NaN NaN NaN 26.698 0.497 2002 7 NaN NaN NaN NaN NaN NaN 27.775 0.624 2002 8 NaN NaN NaN NaN NaN NaN 27.638 0.279 2002 9 NaN NaN NaN NaN NaN NaN 28.243 1.691 2002 10 NaN NaN NaN NaN NaN NaN 25.175 2.646 2002 11 NaN NaN NaN NaN NaN NaN 17.970 -0.526 2002 12 NaN NaN NaN NaN NaN NaN 15.135 -0.468 2003 1 NaN NaN NaN NaN NaN NaN 11.650 -2.490 2003 2 14.233 1.006 1 0 NaN NaN 14.517 0.003 2003 3 16.989 1.410 0 0 17.117 1.539 18.926 2.062 2003 4 19.500 0.745 0 0 19.628 0.873 20.321 0.279 2003 5 25.355 3.123 0 0 25.483 3.251 25.208 1.690 2003 6 26.922 2.008 0 0 27.050 2.136 26.881 0.681 2003 7 27.008 1.143 0 0 27.136 1.272 26.883 -0.268 2003 8 27.839 1.766 0 0 27.967 1.894 27.642 0.283 2003 9 25.825 0.559 0 0 25.953 0.687 26.873 0.321 2003 10 20.777 -0.465 0 0 20.906 -0.337 22.968 0.439 2003 11 17.917 0.706 0 0 18.045 0.835 20.870 2.374 2003 12 10.650 -3.666 0 0 10.778 -3.538 14.405 -1.198 2004 1 10.513 -2.341 0 0 10.641 -2.213 13.685 -0.456 2004 2 11.186 -2.042 0 0 11.314 -1.913 13.103 -1.411 2004 3 16.513 0.935 0 0 16.641 1.063 18.433 1.568 2004 4 18.360 -0.395 0 0 18.488 -0.267 19.339 -0.703 2004 5 24.216 1.984 0 0 24.344 2.113 24.059 0.541 2004 6 26.877 1.963 0 0 27.005 2.091 27.189 0.989 2004 7 28.210 2.345 0 0 28.338 2.473 28.002 0.851 2004 8 27.134 1.061 0 0 27.262 1.190 27.427 0.068 2004 9 26.255 0.989 0 0 26.383 1.117 27.353 0.801 2004 10 23.876 2.633 0 0 24.004 2.762 25.117 2.589 2004 11 18.400 1.190 0 0 18.528 1.318 21.137 2.641 2004 12 11.637 -2.679 0 0 11.765 -2.551 15.344 -0.258 2005 1 13.150 0.296 0 0 13.278 0.424 15.949 1.808 2005 2 13.891 0.663 0 0 14.019 0.792 15.846 1.332 2005 3 15.002 -0.577 0 0 15.130 -0.448 16.803 -0.061 2005 4 18.333 -0.422 0 0 18.462 -0.294 19.280 -0.762 2005 5 19.825 -2.407 1 0 NaN NaN 23.284 -0.234 2005 6 NaN NaN NaN NaN NaN NaN 26.877 0.676 2005 7 NaN NaN NaN NaN NaN NaN 28.086 0.935 2005 8 NaN NaN NaN NaN NaN NaN 28.207 0.848 2005 9 NaN NaN NaN NaN NaN NaN 28.679 2.126 2005 10 NaN NaN NaN NaN NaN NaN 22.933 0.405 2005 11 NaN NaN NaN NaN NaN NaN 20.150 1.654 2005 12 NaN NaN NaN NaN NaN NaN 14.910 -0.693 2006 1 NaN NaN NaN NaN NaN NaN 16.672 2.531 2006 2 NaN NaN NaN NaN NaN NaN 14.184 -0.330 2006 3 NaN NaN NaN NaN NaN NaN 18.002 1.137 2006 4 NaN NaN NaN NaN NaN NaN 22.297 2.256 2006 5 NaN NaN NaN NaN NaN NaN 23.990 0.472 2006 6 NaN NaN NaN NaN NaN NaN 27.502 1.301 2006 7 NaN NaN NaN NaN NaN NaN 28.251 1.100 2006 8 NaN NaN NaN NaN NaN NaN 28.763 1.404 2006 9 NaN NaN NaN NaN NaN NaN 27.040 0.488 2006 10 NaN NaN NaN NaN NaN NaN 22.956 0.428 2006 11 NaN NaN NaN NaN NaN NaN 18.125 -0.371 2006 12 NaN NaN NaN NaN NaN NaN 17.061 1.458 2007 1 NaN NaN NaN NaN NaN NaN 14.865 0.725 2007 2 NaN NaN NaN NaN NaN NaN 13.219 -1.295 2007 3 NaN NaN NaN NaN NaN NaN 18.271 1.406 2007 4 NaN NaN NaN NaN NaN NaN 19.420 -0.622 2007 5 NaN NaN NaN NaN NaN NaN 23.671 0.153 2007 6 NaN NaN NaN NaN NaN NaN 27.113 0.912 2007 7 NaN NaN NaN NaN NaN NaN 27.841 0.690 2007 8 NaN NaN NaN NaN NaN NaN 29.154 1.795 2007 9 NaN NaN NaN NaN NaN NaN 28.067 1.514 2007 10 NaN NaN NaN NaN NaN NaN 24.140 1.611 2007 11 15.693 -1.517 0 2 15.626 -1.584 18.911 0.415 2007 12 15.019 0.703 0 0 14.953 0.637 18.298 2.696 2008 1 10.468 -2.387 0 0 10.401 -2.453 13.484 -0.656 2008 2 13.312 0.084 0 0 13.245 0.018 15.360 0.846 2008 3 14.869 -0.709 0 0 14.803 -0.776 16.738 -0.127 2008 4 19.155 0.400 0 0 19.088 0.333 20.202 0.160 2008 5 23.842 1.610 0 0 23.775 1.543 23.945 0.427 2008 6 27.978 3.064 0 0 27.912 2.998 27.511 1.310 2008 7 28.531 2.666 0 0 28.464 2.599 27.746 0.595 2008 8 27.973 1.900 0 0 27.906 1.833 27.495 0.136 2008 9 26.618 1.352 0 0 26.552 1.285 27.384 0.831 2008 10 20.063 -1.180 0 0 19.996 -1.246 22.012 -0.517 2008 11 15.015 -2.195 0 0 14.948 -2.262 17.817 -0.680 2008 12 14.135 -0.180 0 0 14.069 -0.247 17.708 2.106 2009 1 11.955 -0.899 0 0 11.888 -0.966 14.835 0.694 2009 2 12.589 -0.638 0 0 12.523 -0.705 14.261 -0.253 2009 3 16.868 1.289 0 0 16.801 1.223 18.140 1.275 2009 4 19.410 0.655 0 0 19.343 0.588 19.946 -0.096 2009 5 25.348 3.117 0 0 25.282 3.050 24.454 0.935 2009 6 29.018 4.104 0 0 28.952 4.038 28.192 1.992 2009 7 28.306 2.442 0 0 28.240 2.375 27.704 0.553 2009 8 28.024 1.952 0 0 27.957 1.885 27.464 0.105 2009 9 26.980 1.714 0 0 26.913 1.647 27.835 1.282 2009 10 22.303 1.061 0 0 22.237 0.994 23.924 1.395 2009 11 15.813 -1.397 0 0 15.747 -1.464 18.549 0.052 2009 12 11.597 -2.719 0 0 11.530 -2.786 15.146 -0.457 2010 1 8.239 -4.616 0 0 8.172 -4.682 11.342 -2.799 2010 2 8.575 -4.653 0 0 8.508 -4.719 10.401 -4.113 2010 3 13.477 -2.101 0 0 13.411 -2.168 14.949 -1.915 2010 4 19.870 1.115 0 0 19.803 1.048 20.418 0.376 2010 5 25.327 3.096 0 0 25.261 3.029 25.201 1.683 2010 6 28.865 3.951 0 0 28.798 3.884 28.572 2.371 2010 7 29.577 3.713 0 0 29.511 3.646 28.749 1.598 2010 8 29.352 3.279 0 0 29.285 3.212 28.991 1.632 2010 9 27.197 1.930 0 0 27.130 1.864 28.299 1.747 2010 10 21.515 0.272 0 0 21.448 0.205 23.019 0.491 2010 11 16.903 -0.307 0 0 16.837 -0.374 19.498 1.001 2010 12 8.789 -5.527 0 0 8.722 -5.594 12.292 -3.311 2011 1 9.247 -3.607 0 0 9.180 -3.674 12.035 -2.106 2011 2 12.200 -1.028 0 0 12.133 -1.094 14.309 -0.205 2011 3 17.084 1.506 0 0 17.017 1.439 18.831 1.966 2011 4 21.253 2.498 0 0 21.187 2.431 21.916 1.874 2011 5 23.318 1.086 0 0 23.251 1.019 23.624 0.106 2011 6 29.180 4.266 0 0 29.113 4.199 28.726 2.526 2011 7 28.740 2.876 0 0 28.674 2.809 28.466 1.315 2011 8 29.808 3.735 0 0 29.741 3.669 29.482 2.123 2011 9 25.298 0.032 0 0 25.232 -0.035 26.693 0.140 2011 10 19.587 -1.655 0 0 19.520 -1.722 21.509 -1.020 2011 11 16.835 -0.375 0 0 16.768 -0.442 19.479 0.983 2011 12 15.248 0.932 1 0 NaN NaN 17.372 1.770 2012 1 16.250 3.396 0 0 16.183 3.329 16.557 2.416 2012 2 13.879 0.651 1 0 NaN NaN 16.424 1.910 2012 3 23.600 8.022 1 0 NaN NaN 21.095 4.231 2012 4 24.886 6.130 1 0 NaN NaN 21.518 1.476 2012 5 NaN NaN NaN NaN NaN NaN 25.334 1.816 2012 6 NaN NaN NaN NaN NaN NaN 26.677 0.476 2012 7 NaN NaN NaN NaN NaN NaN 27.851 0.700 2012 8 NaN NaN NaN NaN NaN NaN 27.628 0.269 2012 9 NaN NaN NaN NaN NaN NaN 27.113 0.560 2012 10 NaN NaN NaN NaN NaN NaN 22.708 0.179 2012 11 NaN NaN NaN NaN NaN NaN 17.917 -0.579 2012 12 NaN NaN NaN NaN NaN NaN 17.427 1.825 2013 1 NaN NaN NaN NaN NaN NaN 16.943 2.802 2013 2 NaN NaN NaN NaN NaN NaN 15.490 0.976 2013 3 NaN NaN NaN NaN NaN NaN 14.938 -1.927 2013 4 NaN NaN NaN NaN NaN NaN 20.401 0.359