% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26015 % Primary Name: C-CUT ST PETERSBURG % Record Type: TAVG % Country: United States % State: FL % Latitude: 27.66700 +/- 0.00050 % Longitude: -82.61700 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 33 % % IDs: gsod - 998228-99999 % icao - CCUF1 % usaf - 998228 % % Sources: Global Summary of the Day % % Site Hash: 1ee21b0876c981437731dd53e89937ac % Raw Data Hash: 326bb3146da1d3e888dd4c90360b4060 % Adj Data Hash: d5a8a5c97e7e5fe4e087519eda94bfdf % % 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 2007 11 NaN NaN NaN NaN NaN NaN 20.167 0.414 2007 12 NaN NaN NaN NaN NaN NaN 19.770 3.128 2008 1 NaN NaN NaN NaN NaN NaN 16.065 0.432 2008 2 NaN NaN NaN NaN NaN NaN 17.568 1.668 2008 3 NaN NaN NaN NaN NaN NaN 19.181 0.581 2008 4 NaN NaN NaN NaN NaN NaN 21.547 0.256 2008 5 NaN NaN NaN NaN NaN NaN 25.204 0.777 2008 6 NaN NaN NaN NaN NaN NaN 27.427 0.873 2008 7 NaN NaN NaN NaN NaN NaN 27.442 0.093 2008 8 NaN NaN NaN NaN NaN NaN 27.827 0.286 2008 9 NaN NaN NaN NaN NaN NaN 27.862 0.901 2008 10 NaN NaN NaN NaN NaN NaN 23.284 -0.199 2008 11 16.425 -3.100 1 0 NaN NaN 18.027 -1.727 2008 12 18.042 1.628 0 0 18.042 1.628 18.256 1.614 2009 1 15.674 0.269 0 0 15.674 0.269 15.198 -0.435 2009 2 15.262 -0.410 0 0 15.262 -0.410 14.525 -1.375 2009 3 18.932 0.560 0 0 18.932 0.560 19.451 0.851 2009 4 21.706 0.643 0 0 21.706 0.643 21.858 0.567 2009 5 25.144 0.946 1 0 NaN NaN 25.057 0.631 2009 6 27.519 1.193 0 0 27.519 1.193 27.992 1.439 2009 7 27.922 0.802 0 0 27.922 0.802 28.168 0.820 2009 8 27.885 0.572 0 0 27.885 0.572 28.306 0.766 2009 9 27.281 0.550 0 0 27.281 0.550 28.178 1.217 2009 10 25.073 1.819 0 0 25.073 1.819 25.226 1.743 2009 11 20.706 1.181 0 0 20.706 1.181 20.574 0.820 2009 12 18.791 2.377 1 0 NaN NaN 17.476 0.834 2010 1 14.371 -1.033 1 0 NaN NaN 12.483 -3.150 2010 2 12.542 -3.130 0 0 12.542 -3.130 11.714 -4.186 2010 3 15.568 -2.803 0 0 15.568 -2.803 15.846 -2.754 2010 4 21.307 0.245 0 0 21.307 0.245 21.595 0.304 2010 5 25.806 1.608 0 0 25.806 1.608 26.392 1.966 2010 6 28.196 1.871 0 0 28.196 1.871 28.880 2.326 2010 7 28.038 0.917 0 0 28.038 0.917 28.681 1.332 2010 8 28.346 1.034 0 0 28.346 1.034 28.747 1.207 2010 9 27.377 0.645 0 0 27.377 0.645 28.354 1.393 2010 10 24.061 0.806 0 0 24.061 0.806 23.818 0.335 2010 11 20.133 0.608 0 0 20.133 0.608 20.372 0.618 2010 12 13.210 -3.204 1 0 NaN NaN 11.752 -4.890 2011 1 14.310 -1.094 0 0 14.310 -1.094 14.157 -1.476 2011 2 16.777 1.105 1 0 NaN NaN 16.780 0.879 2011 3 NaN NaN NaN NaN NaN NaN 20.053 1.453 2011 4 NaN NaN NaN NaN NaN NaN 23.524 2.233 2011 5 NaN NaN NaN NaN NaN NaN 25.275 0.848 2011 6 NaN NaN NaN NaN NaN NaN 27.982 1.429 2011 7 NaN NaN NaN NaN NaN NaN 28.388 1.039 2011 8 NaN NaN NaN NaN NaN NaN 29.101 1.560 2011 9 28.049 1.317 1 0 NaN NaN 27.835 0.875 2011 10 22.654 -0.601 0 0 22.654 -0.601 22.660 -0.823 2011 11 20.230 0.705 0 0 20.230 0.705 20.816 1.062 2011 12 18.410 1.997 0 0 18.410 1.997 18.928 2.286 2012 1 14.940 -0.465 1 0 NaN NaN 16.345 0.712 2012 2 NaN NaN NaN NaN NaN NaN 18.434 2.534 2012 3 NaN NaN NaN NaN NaN NaN 22.224 3.625 2012 4 NaN NaN NaN NaN NaN NaN 22.479 1.188 2012 5 NaN NaN NaN NaN NaN NaN 25.948 1.521 2012 6 NaN NaN NaN NaN NaN NaN 26.639 0.086 2012 7 NaN NaN NaN NaN NaN NaN 27.902 0.553 2012 8 NaN NaN NaN NaN NaN NaN 28.002 0.461 2012 9 NaN NaN NaN NaN NaN NaN 27.601 0.640 2012 10 NaN NaN NaN NaN NaN NaN 24.226 0.743 2012 11 NaN NaN NaN NaN NaN NaN 18.682 -1.072 2012 12 NaN NaN NaN NaN NaN NaN 18.365 1.723 2013 1 NaN NaN NaN NaN NaN NaN 18.864 3.231