% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28094 % Primary Name: CAPERS NEARSHORE % Record Type: TAVG % Country: United States % State: FL % Latitude: 32.80000 +/- 0.00050 % Longitude: -79.63300 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 84 % % IDs: gsod - 997388-99999 % icao - DB810 % usaf - 997388 % % Sources: Global Summary of the Day % % Site Hash: b17e930b2da24bb648a9d9246d02fea2 % Raw Data Hash: 5ec3e411df125ffeb932309d178d35cf % Adj Data Hash: e4bc30f9943da588e935fc62512ab438 % % 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 5 NaN NaN NaN NaN NaN NaN 24.193 2.026 2004 6 NaN NaN NaN NaN NaN NaN 26.576 1.467 2004 7 NaN NaN NaN NaN NaN NaN 27.685 0.903 2004 8 NaN NaN NaN NaN NaN NaN 26.271 -0.451 2004 9 NaN NaN NaN NaN NaN NaN 25.463 0.719 2004 10 NaN NaN NaN NaN NaN NaN 21.074 1.343 2004 11 NaN NaN NaN NaN NaN NaN 17.164 1.846 2004 12 NaN NaN NaN NaN NaN NaN 11.212 -0.144 2005 1 NaN NaN NaN NaN NaN NaN 11.278 1.198 2005 2 NaN NaN NaN NaN NaN NaN 11.023 0.237 2005 3 NaN NaN NaN NaN NaN NaN 13.403 -0.744 2005 4 NaN NaN NaN NaN NaN NaN 17.401 -0.684 2005 5 21.845 -0.449 1 0 NaN NaN 20.972 -1.196 2005 6 25.548 0.312 1 0 NaN NaN 25.595 0.486 2005 7 28.353 1.443 0 0 28.449 1.539 28.473 1.691 2005 8 28.016 1.167 0 0 28.112 1.263 28.107 1.385 2005 9 25.975 1.104 1 0 NaN NaN 27.018 2.274 2005 10 NaN NaN NaN NaN NaN NaN 20.786 1.056 2005 11 14.323 -1.122 1 0 NaN NaN 17.214 1.896 2005 12 11.136 -0.347 0 0 11.232 -0.251 10.814 -0.542 2006 1 12.396 2.188 0 0 12.492 2.285 12.939 2.858 2006 2 10.730 -0.184 0 0 10.826 -0.088 10.134 -0.653 2006 3 13.267 -1.008 0 0 13.363 -0.911 14.250 0.103 2006 4 18.629 0.417 0 0 18.725 0.514 19.888 1.803 2006 5 22.329 0.034 0 0 22.425 0.131 22.029 -0.139 2006 6 26.529 1.292 0 0 26.625 1.389 25.538 0.429 2006 7 28.168 1.259 0 0 28.265 1.355 27.684 0.902 2006 8 29.720 2.872 1 0 NaN NaN 28.259 1.538 2006 9 NaN NaN NaN NaN NaN NaN 24.958 0.215 2006 10 18.980 -0.878 1 0 NaN NaN 19.375 -0.355 2006 11 14.952 -0.493 0 0 15.048 -0.397 15.833 0.515 2006 12 13.719 2.235 0 0 13.815 2.332 14.437 3.081 2007 1 13.138 2.930 0 0 13.234 3.026 12.487 2.407 2007 2 10.944 0.030 0 0 11.041 0.127 9.810 -0.977 2007 3 16.707 2.433 0 0 16.804 2.529 16.328 2.180 2007 4 18.204 -0.008 0 0 18.300 0.088 17.992 -0.093 2007 5 21.679 -0.615 0 0 21.776 -0.519 21.902 -0.265 2007 6 25.506 0.269 0 0 25.602 0.365 25.581 0.472 2007 7 27.131 0.221 0 0 27.227 0.317 27.006 0.224 2007 8 28.498 1.649 0 0 28.594 1.746 28.969 2.247 2007 9 26.041 1.170 0 0 26.137 1.266 26.193 1.450 2007 10 24.216 4.358 0 0 24.312 4.454 22.826 3.095 2007 11 15.493 0.048 0 0 15.589 0.144 15.767 0.449 2007 12 14.546 3.063 0 0 14.643 3.159 14.717 3.361 2008 1 10.566 0.358 0 0 10.663 0.455 10.228 0.147 2008 2 13.115 2.201 0 0 13.211 2.297 13.010 2.223 2008 3 15.045 0.770 0 0 15.141 0.866 15.112 0.965 2008 4 18.122 -0.089 0 0 18.219 0.007 18.534 0.449 2008 5 22.289 -0.006 0 0 22.385 0.090 22.036 -0.132 2008 6 26.806 1.569 0 0 26.902 1.665 26.931 1.822 2008 7 27.298 0.388 0 0 27.394 0.484 27.073 0.290 2008 8 27.130 0.282 0 0 27.227 0.378 27.226 0.504 2008 9 25.441 0.570 0 0 25.537 0.666 25.508 0.765 2008 10 20.127 0.270 0 0 20.224 0.366 18.945 -0.786 2008 11 14.054 -1.392 0 0 14.150 -1.295 14.244 -1.074 2008 12 12.447 0.964 1 0 NaN NaN 14.348 2.992 2009 1 NaN NaN NaN NaN NaN NaN 10.050 -0.031 2009 2 10.785 -0.129 1 0 NaN NaN 9.968 -0.819 2009 3 13.421 -0.853 0 0 13.517 -0.757 14.328 0.180 2009 4 18.178 -0.034 0 0 18.274 0.062 18.321 0.236 2009 5 22.332 0.037 0 0 22.428 0.133 23.001 0.834 2009 6 26.745 1.509 0 0 26.842 1.605 26.765 1.656 2009 7 27.041 0.131 0 0 27.137 0.227 26.897 0.115 2009 8 27.409 0.560 0 0 27.506 0.657 27.599 0.877 2009 9 24.973 0.102 0 0 25.069 0.199 25.307 0.563 2009 10 20.853 0.995 0 0 20.949 1.092 20.008 0.278 2009 11 16.804 1.359 0 0 16.900 1.455 16.726 1.408 2009 12 14.106 2.623 1 0 NaN NaN 11.821 0.465 2010 1 NaN NaN NaN NaN NaN NaN 7.923 -2.158 2010 2 NaN NaN NaN NaN NaN NaN 7.618 -3.169 2010 3 12.100 -2.175 1 0 NaN NaN 13.314 -0.834 2010 4 NaN NaN NaN NaN NaN NaN 19.134 1.050 2010 5 NaN NaN NaN NaN NaN NaN 23.865 1.698 2010 6 NaN NaN NaN NaN NaN NaN 28.109 3.000 2010 7 NaN NaN NaN NaN NaN NaN 28.072 1.289 2010 8 NaN NaN NaN NaN NaN NaN 28.394 1.672 2010 9 NaN NaN NaN NaN NaN NaN 26.706 1.962 2010 10 NaN NaN NaN NaN NaN NaN 20.656 0.926 2010 11 18.619 3.174 1 0 NaN NaN 15.849 0.531 2010 12 8.319 -3.164 0 2 8.107 -3.376 6.912 -4.444 2011 1 13.251 3.043 1 0 NaN NaN 7.839 -2.242 2011 2 15.431 4.517 1 0 NaN NaN 12.242 1.455 2011 3 15.465 1.190 0 0 15.253 0.978 15.460 1.313 2011 4 13.889 -4.323 1 0 NaN NaN 20.093 2.008 2011 5 NaN NaN NaN NaN NaN NaN 23.161 0.994 2011 6 27.382 2.145 0 0 27.170 1.933 27.611 2.502 2011 7 27.798 0.888 1 0 NaN NaN 28.338 1.556 2011 8 28.202 1.353 0 0 27.990 1.141 28.310 1.589 2011 9 25.872 1.001 0 0 25.660 0.789 25.625 0.881 2011 10 20.886 1.028 1 0 NaN NaN 18.934 -0.796 2011 11 NaN NaN NaN NaN NaN NaN 16.666 1.348 2011 12 13.521 2.038 1 0 NaN NaN 14.043 2.687 2012 1 NaN NaN NaN NaN NaN NaN 12.273 2.192 2012 2 NaN NaN NaN NaN NaN NaN 12.849 2.063 2012 3 NaN NaN NaN NaN NaN NaN 18.810 4.662 2012 4 19.244 1.032 0 0 19.032 0.821 19.699 1.615 2012 5 23.294 0.999 0 0 23.082 0.788 23.810 1.643 2012 6 24.961 -0.275 0 0 24.749 -0.487 24.471 -0.639 2012 7 28.152 1.242 0 0 27.940 1.031 28.521 1.738 2012 8 27.447 0.598 1 0 NaN NaN 26.806 0.084 2012 9 25.660 0.790 0 0 25.449 0.578 25.510 0.767 2012 10 21.210 1.352 0 0 20.998 1.140 20.326 0.595 2012 11 13.326 -2.119 0 0 13.114 -2.331 13.505 -1.813 2012 12 13.978 2.495 0 0 13.767 2.283 14.014 2.657 2013 1 11.508 1.300 0 0 11.296 1.089 13.172 3.092 2013 2 10.509 -0.405 1 0 NaN NaN 10.806 0.019 2013 3 NaN NaN NaN NaN NaN NaN 11.596 -2.551 2013 4 17.513 -0.698 0 0 17.302 -0.910 18.414 0.330 2013 5 22.254 -0.041 0 0 22.042 -0.252 21.709 -0.459 2013 6 27.781 2.545 0 0 27.570 2.333 26.160 1.051 2013 7 29.559 2.649 0 0 29.347 2.438 27.017 0.234 2013 8 29.371 2.522 0 0 29.159 2.311 26.918 0.196 2013 9 NaN NaN NaN NaN NaN NaN 25.299 0.556 2013 10 21.978 2.121 0 0 21.767 1.909 20.299 0.569 2013 11 19.859 4.414 1 0 NaN NaN NaN NaN