% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27348 % Primary Name: US NAVY TOWER R8 % Record Type: TAVG % Country: United States % State: GA % Latitude: 31.63300 +/- 0.00050 % Longitude: -79.91700 +/- 0.00050 % Elevation (m): 34.00 +/- 0.05 % # of Months: 35 % % IDs: gsod - 994860-99999 % icao - TYBG1 % usaf - 994860 % % Sources: Global Summary of the Day % % Site Hash: 38c2245e8e08349eb8dc8b66d3daf10b % Raw Data Hash: d94b5eed325630bce192f6f5a58ff7e3 % Adj Data Hash: b74c826c56065dac21a2db5ccdd382c0 % % 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 6 NaN NaN NaN NaN NaN NaN 25.902 0.739 2003 7 NaN NaN NaN NaN NaN NaN 27.043 0.320 2003 8 NaN NaN NaN NaN NaN NaN 27.275 0.366 2003 9 NaN NaN NaN NaN NaN NaN 26.033 0.060 2003 10 NaN NaN NaN NaN NaN NaN 23.256 0.583 2003 11 NaN NaN NaN NaN NaN NaN 22.036 2.749 2003 12 NaN NaN NaN NaN NaN NaN 14.879 -1.050 2004 1 NaN NaN NaN NaN NaN NaN 13.675 -0.803 2004 2 NaN NaN NaN NaN NaN NaN 13.624 -0.984 2004 3 NaN NaN NaN NaN NaN NaN 18.058 1.156 2004 4 NaN NaN NaN NaN NaN NaN 19.624 0.005 2004 5 NaN NaN NaN NaN NaN NaN 24.125 1.416 2004 6 26.383 2.719 1 0 NaN NaN 26.484 1.320 2004 7 27.227 2.004 0 0 27.227 2.004 27.597 0.874 2004 8 26.578 1.169 1 0 NaN NaN 26.701 -0.208 2004 9 26.123 1.649 0 0 26.123 1.649 26.780 0.807 2004 10 23.256 2.082 0 0 23.256 2.082 23.800 1.126 2004 11 20.228 2.440 0 0 20.228 2.440 21.145 1.857 2004 12 14.681 0.252 0 0 14.681 0.252 15.839 -0.090 2005 1 12.471 -0.507 1 0 NaN NaN 15.614 1.136 2005 2 14.987 1.879 0 0 14.987 1.879 14.991 0.383 2005 3 15.107 -0.295 0 0 15.107 -0.295 16.279 -0.623 2005 4 29.190 11.071 1 0 NaN NaN 18.818 -0.801 2005 5 23.800 2.591 1 0 NaN NaN 21.780 -0.929 2005 6 25.785 2.122 1 0 NaN NaN 25.589 0.425 2005 7 27.996 2.773 0 0 27.996 2.773 28.275 1.553 2005 8 26.616 1.207 1 0 NaN NaN 28.334 1.425 2005 9 25.503 1.030 1 0 NaN NaN 27.762 1.788 2005 10 20.971 -0.202 0 0 20.971 -0.202 23.492 0.818 2005 11 16.074 -1.713 1 0 NaN NaN 21.234 1.947 2005 12 12.104 -2.325 0 0 12.104 -2.325 15.352 -0.577 2006 1 12.482 -0.497 1 0 NaN NaN 16.704 2.226 2006 2 10.286 -2.822 0 0 10.286 -2.822 13.845 -0.763 2006 3 12.558 -2.844 1 0 NaN NaN 17.004 0.102 2006 4 15.409 -2.710 0 0 15.409 -2.710 21.025 1.406 2006 5 16.408 -4.801 1 0 NaN NaN 22.932 0.223 2006 6 18.613 -5.051 1 0 NaN NaN 25.775 0.612 2006 7 NaN NaN NaN NaN NaN NaN 27.488 0.766 2006 8 NaN NaN NaN NaN NaN NaN 28.230 1.322 2006 9 NaN NaN NaN NaN NaN NaN 26.587 0.614 2006 10 NaN NaN NaN NaN NaN NaN 22.743 0.069 2006 11 NaN NaN NaN NaN NaN NaN 19.454 0.166 2006 12 21.804 7.374 1 0 NaN NaN 18.906 2.977 2007 1 NaN NaN NaN NaN NaN NaN 16.690 2.212 2007 2 NaN NaN NaN NaN NaN NaN 14.015 -0.593 2007 3 20.715 5.312 1 0 NaN NaN 18.644 1.741 2007 4 19.125 1.006 1 0 NaN NaN 19.676 0.057 2007 5 22.861 1.652 0 2 22.861 1.652 22.583 -0.125 2007 6 24.694 1.031 1 0 NaN NaN 25.460 0.296 2007 7 NaN NaN NaN NaN NaN NaN 27.285 0.563 2007 8 NaN NaN NaN NaN NaN NaN 28.683 1.774 2007 9 NaN NaN NaN NaN NaN NaN 27.202 1.228 2007 10 22.391 1.217 1 0 NaN NaN 25.419 2.745 2007 11 18.558 0.770 0 0 18.558 0.770 19.787 0.500 2007 12 17.121 2.692 1 0 NaN NaN 19.028 3.099 2008 1 9.310 -3.669 1 0 NaN NaN 14.906 0.428 2008 2 11.387 -1.721 1 0 NaN NaN 16.595 1.987 2008 3 NaN NaN NaN NaN NaN NaN 17.876 0.974 2008 4 NaN NaN NaN NaN NaN NaN 19.870 0.251 2008 5 NaN NaN NaN NaN NaN NaN 23.024 0.315 2008 6 NaN NaN NaN NaN NaN NaN 26.530 1.367 2008 7 NaN NaN NaN NaN NaN NaN 26.948 0.226 2008 8 NaN NaN NaN NaN NaN NaN 27.326 0.417 2008 9 NaN NaN NaN NaN NaN NaN 26.691 0.717 2008 10 NaN NaN NaN NaN NaN NaN 22.232 -0.441 2008 11 NaN NaN NaN NaN NaN NaN 18.127 -1.160 2008 12 NaN NaN NaN NaN NaN NaN 18.096 2.167 2009 1 NaN NaN NaN NaN NaN NaN 14.425 -0.053 2009 2 NaN NaN NaN NaN NaN NaN 13.436 -1.172