% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26759 % Primary Name: JACKSON WHITEHOUSE NOLF % Record Type: TAVG % Country: United States % State: FL % Latitude: 30.35030 +/- 0.00005 % Longitude: -81.88310 +/- 0.00005 % Elevation (m): 30.20 +/- 0.50 % # of Months: 75 % % IDs: faa - NEN % ghcnd - USW00063890 % icao - KNEN % ncdc - 30003151 % wban - 63890 % % Sources: Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 90e1532bf5bf5461176dba540fad2ec9 % Raw Data Hash: f2915e70d0b8f54d8e633f3efcbab284 % Adj Data Hash: 5a978daf36b44f0796699dedc135013e % % 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 2006 6 NaN NaN NaN NaN NaN NaN 26.611 0.608 2006 7 NaN NaN NaN NaN NaN NaN 27.758 0.656 2006 8 NaN NaN NaN NaN NaN NaN 28.242 1.089 2006 9 NaN NaN NaN NaN NaN NaN 27.126 0.780 2006 10 NaN NaN NaN NaN NaN NaN 22.727 0.111 2006 11 NaN NaN NaN NaN NaN NaN 18.348 -0.320 2006 12 NaN NaN NaN NaN NaN NaN 18.415 3.093 2007 1 NaN NaN NaN NaN NaN NaN 16.336 2.024 2007 2 NaN NaN NaN NaN NaN NaN 14.082 -0.744 2007 3 NaN NaN NaN NaN NaN NaN 18.873 1.111 2007 4 NaN NaN NaN NaN NaN NaN 20.285 -0.316 2007 5 NaN NaN NaN NaN NaN NaN 23.430 -0.282 2007 6 25.720 1.320 0 0 25.720 1.320 26.419 0.416 2007 7 27.647 2.149 0 0 27.647 2.149 27.953 0.851 2007 8 28.433 2.884 0 0 28.433 2.884 28.887 1.734 2007 9 25.970 1.228 0 0 25.970 1.228 27.655 1.309 2007 10 23.023 2.010 0 0 23.023 2.010 25.294 2.678 2007 11 15.080 -1.984 1 0 NaN NaN 19.124 0.456 2007 12 15.426 1.708 0 0 15.426 1.708 18.393 3.071 2008 1 14.083 1.375 0 0 14.083 1.375 14.869 0.557 2008 2 14.491 1.268 0 0 14.491 1.268 16.583 1.757 2008 3 15.700 -0.459 0 0 15.700 -0.459 18.333 0.571 2008 4 19.220 0.223 1 0 NaN NaN 20.669 0.068 2008 5 23.152 1.043 0 0 23.152 1.043 24.426 0.714 2008 6 26.582 2.182 0 0 26.582 2.182 26.882 0.879 2008 7 27.209 1.712 0 0 27.209 1.712 27.242 0.140 2008 8 27.097 1.548 0 0 27.097 1.548 27.404 0.251 2008 9 25.410 0.668 0 0 25.410 0.668 27.244 0.898 2008 10 19.406 -1.606 0 0 19.406 -1.606 22.406 -0.211 2008 11 13.968 -3.096 0 0 13.968 -3.096 17.224 -1.445 2008 12 14.626 0.908 0 0 14.626 0.908 17.368 2.046 2009 1 11.458 -1.250 0 0 11.458 -1.250 14.097 -0.215 2009 2 11.602 -1.620 1 0 NaN NaN 13.464 -1.362 2009 3 16.597 0.438 0 0 16.597 0.438 18.670 0.908 2009 4 19.023 0.026 0 0 19.023 0.026 20.940 0.339 2009 5 23.908 1.800 0 0 23.908 1.800 24.529 0.817 2009 6 27.552 3.152 0 0 27.552 3.152 27.738 1.734 2009 7 27.071 1.573 0 0 27.071 1.573 27.631 0.529 2009 8 27.173 1.624 0 0 27.173 1.624 27.923 0.771 2009 9 25.623 0.881 0 0 25.623 0.881 27.594 1.248 2009 10 22.573 1.560 0 0 22.573 1.560 24.695 2.079 2009 11 16.380 -0.684 0 0 16.380 -0.684 20.061 1.393 2009 12 13.128 -0.591 0 0 13.128 -0.591 16.575 1.253 2010 1 8.657 -4.052 0 0 8.657 -4.052 11.317 -2.995 2010 2 9.046 -4.176 0 0 9.046 -4.176 10.863 -3.963 2010 3 13.355 -2.804 0 0 13.355 -2.804 15.487 -2.275 2010 4 19.306 0.310 0 0 19.306 0.310 20.908 0.308 2010 5 24.864 2.756 0 0 24.864 2.756 25.533 1.821 2010 6 27.702 3.302 0 0 27.702 3.302 28.191 2.187 2010 7 28.337 2.839 0 0 28.337 2.839 28.748 1.646 2010 8 28.739 3.190 1 0 NaN NaN 28.784 1.631 2010 9 26.543 1.800 0 0 26.543 1.800 27.864 1.518 2010 10 NaN NaN NaN NaN NaN NaN 22.894 0.277 2010 11 16.153 -0.912 1 0 NaN NaN 19.297 0.629 2010 12 7.762 -5.956 0 0 7.762 -5.956 10.557 -4.765 2011 1 11.209 -1.499 0 0 11.209 -1.499 12.505 -1.807 2011 2 14.723 1.501 0 0 14.723 1.501 15.762 0.935 2011 3 17.450 1.291 0 0 17.450 1.291 19.130 1.367 2011 4 21.100 2.103 0 0 21.100 2.103 22.582 1.981 2011 5 23.176 1.067 0 0 23.176 1.067 24.349 0.637 2011 6 27.492 3.092 0 0 27.492 3.092 27.364 1.360 2011 7 27.900 2.402 1 0 NaN NaN 27.963 0.861 2011 8 28.782 3.232 0 0 28.782 3.232 28.805 1.652 2011 9 25.753 1.011 0 0 25.753 1.011 27.412 1.066 2011 10 19.256 -1.756 0 0 19.256 -1.756 21.860 -0.756 2011 11 16.383 -0.681 0 0 16.383 -0.681 19.977 1.309 2011 12 14.682 0.964 0 0 14.682 0.964 17.899 2.577 2012 1 12.934 0.225 0 0 12.934 0.225 15.202 0.890 2012 2 15.198 1.975 0 0 15.198 1.975 17.079 2.253 2012 3 19.426 3.267 0 0 19.426 3.267 21.322 3.559 2012 4 20.469 1.472 0 0 20.469 1.472 22.051 1.451 2012 5 23.172 1.064 0 0 23.172 1.064 24.840 1.128 2012 6 24.912 0.512 0 0 24.912 0.512 26.127 0.124 2012 7 27.606 2.108 0 0 27.606 2.108 28.178 1.076 2012 8 26.277 0.728 1 0 NaN NaN 27.254 0.101 2012 9 24.633 -0.109 1 0 NaN NaN 27.075 0.729 2012 10 25.316 4.304 1 0 NaN NaN 23.496 0.879 2012 11 12.617 -4.447 1 0 NaN NaN 17.406 -1.262 2012 12 9.450 -4.268 1 0 NaN NaN 17.128 1.806 2013 1 NaN NaN NaN NaN NaN NaN 17.812 3.500 2013 2 13.762 0.539 1 0 NaN NaN 16.089 1.262 2013 3 12.361 -3.797 0 0 12.361 -3.797 15.047 -2.716 2013 4 19.420 0.423 0 0 19.420 0.423 21.434 0.833 2013 5 21.598 -0.510 0 0 21.598 -0.510 23.096 -0.616 2013 6 26.942 2.542 0 0 26.942 2.542 27.160 1.156 2013 7 27.057 1.559 0 0 27.057 1.559 27.029 -0.073 2013 8 NaN NaN NaN NaN NaN NaN 27.927 0.774 2013 9 25.792 1.049 1 0 NaN NaN 27.247 0.901 2013 10 21.169 0.157 0 0 21.169 0.157 23.393 0.777 2013 11 18.000 0.936 1 0 NaN NaN NaN NaN