% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27305 % Primary Name: US NAVY TOWER M2R6 % Record Type: TAVG % Country: United States % State: SC % Latitude: 31.53300 +/- 0.00050 % Longitude: -80.23300 +/- 0.00050 % Elevation (m): 50.00 +/- 0.05 % # of Months: 52 % % IDs: gsod - 997253-99999 % icao - SKMG1 % usaf - 997253 % % Sources: Global Summary of the Day % % Site Hash: 6caeecdd0b94a5d8798106ece17df5cf % Raw Data Hash: d988269078345e94f63dafb3b9f20140 % Adj Data Hash: ff47ff664051f05fada843705b3f818c % % 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 2003 11 NaN NaN NaN NaN NaN NaN 19.258 2.839 2003 12 NaN NaN NaN NaN NaN NaN 11.268 -1.395 2004 1 NaN NaN NaN NaN NaN NaN 10.652 -0.787 2004 2 NaN NaN NaN NaN NaN NaN 10.407 -1.709 2004 3 NaN NaN NaN NaN NaN NaN 16.510 1.249 2004 4 NaN NaN NaN NaN NaN NaN 18.595 -0.250 2004 5 NaN NaN NaN NaN NaN NaN 24.066 1.475 2004 6 NaN NaN NaN NaN NaN NaN 26.614 1.364 2004 7 NaN NaN NaN NaN NaN NaN 27.272 0.677 2004 8 NaN NaN NaN NaN NaN NaN 26.394 -0.228 2004 9 NaN NaN NaN NaN NaN NaN 26.179 0.857 2004 10 NaN NaN NaN NaN NaN NaN 22.567 1.726 2004 11 19.017 2.486 1 0 NaN NaN 18.662 2.243 2004 12 17.266 4.492 1 0 NaN NaN 12.526 -0.137 2005 1 NaN NaN NaN NaN NaN NaN 13.005 1.567 2005 2 14.755 2.528 1 0 NaN NaN 12.418 0.302 2005 3 14.541 -0.831 0 0 14.541 -0.831 14.442 -0.820 2005 4 17.982 -0.973 1 0 NaN NaN 17.410 -1.434 2005 5 21.275 -1.428 1 0 NaN NaN 21.608 -0.983 2005 6 24.827 -0.535 1 0 NaN NaN 25.599 0.349 2005 7 NaN NaN NaN NaN NaN NaN 27.917 1.322 2005 8 28.045 1.312 0 0 28.045 1.312 27.899 1.277 2005 9 26.589 1.155 1 0 NaN NaN 27.168 1.845 2005 10 22.444 1.492 0 0 22.444 1.492 21.553 0.712 2005 11 19.772 3.242 0 0 19.772 3.242 18.399 1.980 2005 12 13.844 1.070 0 0 13.844 1.070 11.663 -1.000 2006 1 14.325 2.775 1 0 NaN NaN 13.724 2.285 2006 2 12.642 0.414 0 0 12.642 0.414 11.264 -0.852 2006 3 15.022 -0.351 1 0 NaN NaN 15.465 0.204 2006 4 19.266 0.311 0 0 19.266 0.311 20.547 1.703 2006 5 21.799 -0.904 0 0 21.799 -0.904 22.923 0.332 2006 6 24.685 -0.678 1 0 NaN NaN 25.850 0.599 2006 7 27.911 1.204 1 0 NaN NaN 27.310 0.715 2006 8 27.525 0.792 0 0 27.525 0.792 28.181 1.559 2006 9 25.793 0.359 0 0 25.793 0.359 26.091 0.769 2006 10 22.080 1.128 0 0 22.080 1.128 20.599 -0.242 2006 11 NaN NaN NaN NaN NaN NaN 16.306 -0.113 2006 12 NaN NaN NaN NaN NaN NaN 15.652 2.989 2007 1 NaN NaN NaN NaN NaN NaN 13.476 2.038 2007 2 NaN NaN NaN NaN NaN NaN 11.404 -0.712 2007 3 17.736 2.363 0 0 17.736 2.363 16.910 1.649 2007 4 18.542 -0.413 0 0 18.542 -0.413 18.563 -0.281 2007 5 22.163 -0.540 0 0 22.163 -0.540 22.252 -0.339 2007 6 24.754 -0.609 0 0 24.754 -0.609 25.570 0.319 2007 7 26.677 -0.030 0 0 26.677 -0.030 27.144 0.549 2007 8 27.915 1.181 1 0 NaN NaN 28.476 1.854 2007 9 NaN NaN NaN NaN NaN NaN 26.609 1.287 2007 10 NaN NaN NaN NaN NaN NaN 23.384 2.543 2007 11 18.440 1.909 1 0 NaN NaN 16.735 0.316 2007 12 17.758 4.984 0 0 17.758 4.984 15.807 3.144 2008 1 13.330 1.779 0 0 13.330 1.779 11.563 0.124 2008 2 15.186 2.958 0 0 15.186 2.958 13.704 1.588 2008 3 16.407 1.034 0 0 16.407 1.034 15.881 0.619 2008 4 18.230 -0.725 0 0 18.230 -0.725 18.766 -0.078 2008 5 22.068 -0.634 0 0 22.068 -0.634 22.890 0.299 2008 6 25.593 0.231 0 0 25.593 0.231 26.735 1.485 2008 7 25.893 -0.814 0 0 25.893 -0.814 26.821 0.226 2008 8 25.851 -0.883 0 0 25.851 -0.883 26.968 0.346 2008 9 25.352 -0.082 0 0 25.352 -0.082 26.040 0.718 2008 10 21.106 0.153 0 0 21.106 0.153 20.312 -0.529 2008 11 16.067 -0.464 0 0 16.067 -0.464 15.125 -1.294 2008 12 16.161 3.387 0 0 16.161 3.387 15.210 2.547 2009 1 12.428 0.878 0 0 12.428 0.878 11.651 0.213 2009 2 11.660 -0.568 0 0 11.660 -0.568 10.768 -1.348 2009 3 15.155 -0.218 0 0 15.155 -0.218 15.888 0.627 2009 4 18.211 -0.744 0 0 18.211 -0.744 18.930 0.086 2009 5 22.054 -0.649 0 0 22.054 -0.649 23.352 0.761 2009 6 25.068 -0.294 1 0 NaN NaN 27.285 2.034 2009 7 26.171 -0.536 1 0 NaN NaN 26.925 0.329 2009 8 26.527 -0.207 0 0 26.527 -0.207 27.130 0.507 2009 9 25.050 -0.384 0 0 25.050 -0.384 26.155 0.832 2009 10 21.921 0.968 1 0 NaN NaN 22.027 1.186 2009 11 NaN NaN NaN NaN NaN NaN 17.620 1.201 2009 12 NaN NaN NaN NaN NaN NaN 13.432 0.769 2010 1 NaN NaN NaN NaN NaN NaN 8.978 -2.461 2010 2 NaN NaN NaN NaN NaN NaN 8.573 -3.543 2010 3 NaN NaN NaN NaN NaN NaN 13.510 -1.752 2010 4 NaN NaN NaN NaN NaN NaN 19.354 0.510 2010 5 NaN NaN NaN NaN NaN NaN 24.287 1.696 2010 6 NaN NaN NaN NaN NaN NaN 27.689 2.438 2010 7 NaN NaN NaN NaN NaN NaN 28.147 1.551 2010 8 NaN NaN NaN NaN NaN NaN 28.425 1.802 2010 9 NaN NaN NaN NaN NaN NaN 27.100 1.778 2010 10 NaN NaN NaN NaN NaN NaN 21.562 0.721