% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30338 % Primary Name: BRYSON CITY 4 % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.44640 +/- 0.00005 % Longitude: -83.43390 +/- 0.00005 % Elevation (m): 591.31 +/- 0.15 % # of Months: 40 % % Alternate Names: Missing Station ID - 311165 % % IDs: coop - 311165 % ghcnd - USC00311165 % ncdc - 30015442 % nws - BRCN7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 24d83d89069e41b88ac2bb38e1d05640 % Raw Data Hash: 8220b1db45b53d5fd6a9cb1e57861b8d % Adj Data Hash: b4d2fa81ea356d85747927f3b39c03cc % % 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 2009 8 NaN NaN NaN NaN NaN NaN 23.267 0.040 2009 9 NaN NaN NaN NaN NaN NaN 21.003 0.879 2009 10 NaN NaN NaN NaN NaN NaN 12.887 -0.483 2009 11 NaN NaN NaN NaN NaN NaN 9.856 2.266 2009 12 NaN NaN NaN NaN NaN NaN 2.743 -0.443 2010 1 NaN NaN NaN NaN NaN NaN -0.533 -2.213 2010 2 NaN NaN NaN NaN NaN NaN -0.470 -3.783 2010 3 NaN NaN NaN NaN NaN NaN 7.174 -0.681 2010 4 NaN NaN NaN NaN NaN NaN 15.416 2.197 2010 5 NaN NaN NaN NaN NaN NaN 19.690 1.911 2010 6 NaN NaN NaN NaN NaN NaN 24.544 2.888 2010 7 NaN NaN NaN NaN NaN NaN 25.540 1.949 2010 8 24.222 1.621 0 0 24.222 1.621 25.556 2.328 2010 9 19.778 0.280 0 0 19.778 0.280 21.485 1.361 2010 10 12.389 -0.355 0 0 12.389 -0.355 13.650 0.281 2010 11 8.833 1.870 0 0 8.833 1.870 9.220 1.630 2010 12 -0.375 -2.935 1 0 NaN NaN -1.354 -4.540 2011 1 0.333 -0.721 0 0 0.333 -0.721 -0.060 -1.740 2011 2 5.444 2.757 0 0 5.444 2.757 5.020 1.707 2011 3 10.000 2.771 0 0 10.000 2.771 9.597 1.742 2011 4 14.278 1.685 0 0 14.278 1.685 15.510 2.291 2011 5 17.278 0.125 0 0 17.278 0.125 18.164 0.386 2011 6 22.333 1.303 0 0 22.333 1.303 23.380 1.725 2011 7 23.611 0.646 0 0 23.611 0.646 25.507 1.916 2011 8 22.833 0.232 0 0 22.833 0.232 24.388 1.161 2011 9 19.333 -0.164 0 0 19.333 -0.164 20.280 0.157 2011 10 12.222 -0.522 0 0 12.222 -0.522 12.781 -0.589 2011 11 9.111 2.147 0 0 9.111 2.147 9.796 2.206 2011 12 6.435 3.875 1 0 NaN NaN 6.003 2.817 2012 1 4.313 3.259 0 0 4.313 3.259 4.183 2.503 2012 2 5.714 3.026 0 0 5.714 3.026 5.464 2.151 2012 3 13.863 6.634 0 0 13.863 6.634 14.075 6.220 2012 4 14.703 2.110 0 0 14.703 2.110 14.881 1.662 2012 5 19.059 1.906 0 0 19.059 1.906 20.178 2.399 2012 6 20.460 -0.570 0 0 20.460 -0.570 22.176 0.520 2012 7 24.306 1.342 0 0 24.306 1.342 25.661 2.070 2012 8 22.159 -0.442 0 0 22.159 -0.442 23.095 -0.132 2012 9 19.103 -0.394 0 0 19.103 -0.394 20.271 0.147 2012 10 13.118 0.374 0 0 13.118 0.374 12.927 -0.443 2012 11 6.937 -0.027 0 0 6.937 -0.027 7.016 -0.574 2012 12 6.135 3.575 0 0 6.135 3.575 6.486 3.300 2013 1 5.752 4.697 0 0 5.752 4.697 4.195 2.515 2013 2 3.745 1.057 0 0 3.745 1.057 3.231 -0.083 2013 3 4.337 -2.892 0 0 4.337 -2.892 4.592 -3.262 2013 4 12.678 0.085 0 0 12.678 0.085 13.456 0.237 2013 5 16.335 -0.817 0 0 16.335 -0.817 17.423 -0.355 2013 6 20.962 -0.068 0 0 20.962 -0.068 22.466 0.810 2013 7 22.202 -0.763 0 0 22.202 -0.763 23.228 -0.362 2013 8 21.883 -0.719 1 0 NaN NaN 22.940 -0.287 2013 9 19.523 0.026 0 0 19.523 0.026 20.803 0.679 2013 10 14.552 1.808 0 0 14.552 1.808 14.407 1.037 2013 11 11.242 4.278 1 0 NaN NaN NaN NaN