% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29927 % Primary Name: FAYETTEVILLE 6W % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.02670 +/- 0.00005 % Longitude: -78.97420 +/- 0.00005 % Elevation (m): 73.15 +/- 0.15 % # of Months: 34 % % Alternate Names: Missing Station ID - 313016 % % IDs: coop - 313016 % ghcnd - USC00313016 % ncdc - 30002366 % nws - FANN7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7b1b6d35602cd2ddeec108cc5a7b585e % Raw Data Hash: b1cdce75606ecbb68e8f5a2e499d25d9 % Adj Data Hash: c2b1eec54c0b25b77f5579f939ea97cc % % 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 6 NaN NaN NaN NaN NaN NaN 26.025 1.290 2004 7 NaN NaN NaN NaN NaN NaN 27.254 0.688 2004 8 NaN NaN NaN NaN NaN NaN 25.307 -0.780 2004 9 NaN NaN NaN NaN NaN NaN 23.593 0.554 2004 10 NaN NaN NaN NaN NaN NaN 18.390 1.704 2004 11 NaN NaN NaN NaN NaN NaN 13.911 2.360 2004 12 NaN NaN NaN NaN NaN NaN 6.898 -0.158 2005 1 NaN NaN NaN NaN NaN NaN 7.762 1.779 2005 2 NaN NaN NaN NaN NaN NaN 8.085 0.728 2005 3 NaN NaN NaN NaN NaN NaN 10.978 -0.696 2005 4 NaN NaN NaN NaN NaN NaN 16.569 -0.245 2005 5 NaN NaN NaN NaN NaN NaN 19.775 -1.509 2005 6 25.333 0.703 0 0 25.333 0.703 25.004 0.269 2005 7 28.389 1.927 0 0 28.389 1.927 28.111 1.545 2005 8 NaN NaN NaN NaN NaN NaN 27.466 1.379 2005 9 25.889 2.954 0 0 25.889 2.954 25.929 2.890 2005 10 18.056 1.475 0 0 18.056 1.475 17.915 1.230 2005 11 12.778 1.331 0 0 12.778 1.331 13.399 1.848 2005 12 6.444 -0.507 0 0 6.444 -0.507 6.289 -0.767 2006 1 10.056 4.177 0 0 10.056 4.177 9.634 3.651 2006 2 8.294 1.041 1 0 NaN NaN 6.833 -0.524 2006 3 10.556 -1.014 0 0 10.556 -1.014 12.054 0.380 2006 4 17.989 1.280 0 0 17.989 1.280 19.115 2.301 2006 5 19.778 -1.401 0 0 19.778 -1.401 20.330 -0.954 2006 6 24.778 0.148 0 0 24.778 0.148 24.704 -0.031 2006 7 27.556 1.093 0 0 27.556 1.093 27.246 0.679 2006 8 27.456 1.473 1 0 NaN NaN 27.614 1.527 2006 9 22.333 -0.601 0 0 22.333 -0.601 22.874 -0.165 2006 10 15.444 -1.136 0 0 15.444 -1.136 15.901 -0.785 2006 11 12.278 0.831 0 0 12.278 0.831 12.863 1.313 2006 12 10.444 3.493 0 0 10.444 3.493 10.150 3.095 2007 1 7.333 1.455 0 0 7.333 1.455 8.523 2.540 2007 2 6.500 -0.753 0 0 6.500 -0.753 5.866 -1.491 2007 3 14.278 2.708 0 0 14.278 2.708 14.405 2.731 2007 4 15.500 -1.209 0 0 15.500 -1.209 16.578 -0.235 2007 5 21.000 -0.179 0 0 21.000 -0.179 20.961 -0.322 2007 6 26.222 1.592 0 0 26.222 1.592 25.306 0.572 2007 7 26.278 -0.184 0 0 26.278 -0.184 26.341 -0.226 2007 8 29.500 3.517 0 0 29.500 3.517 29.421 3.334 2007 9 NaN NaN NaN NaN NaN NaN 24.923 1.884 2007 10 19.692 3.111 1 0 NaN NaN 20.113 3.428 2007 11 11.611 0.165 0 0 11.611 0.165 12.060 0.509 2007 12 9.981 3.030 1 0 NaN NaN 10.598 3.542 2008 1 5.833 -0.045 0 0 5.833 -0.045 5.962 -0.021 2008 2 9.889 2.636 0 0 9.889 2.636 9.308 1.951 2008 3 13.444 1.875 0 0 13.444 1.875 12.606 0.932 2008 4 17.278 0.569 0 0 17.278 0.569 17.044 0.230 2008 5 20.667 -0.512 0 0 20.667 -0.512 20.673 -0.611 2008 6 NaN NaN NaN NaN NaN NaN 27.094 2.359 2008 7 NaN NaN NaN NaN NaN NaN 26.593 0.027 2008 8 NaN NaN NaN NaN NaN NaN 26.025 -0.063 2008 9 NaN NaN NaN NaN NaN NaN 23.570 0.531 2008 10 NaN NaN NaN NaN NaN NaN 15.764 -0.922 2008 11 NaN NaN NaN NaN NaN NaN 10.360 -1.190 2008 12 NaN NaN NaN NaN NaN NaN 10.138 3.082 2009 1 NaN NaN NaN NaN NaN NaN 5.738 -0.245 2009 2 NaN NaN NaN NaN NaN NaN 7.285 -0.072 2009 3 NaN NaN NaN NaN NaN NaN 11.716 0.042 2009 4 NaN NaN NaN NaN NaN NaN 17.377 0.563 2009 5 NaN NaN NaN NaN NaN NaN 21.983 0.700