% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29349 % Primary Name: CHADBOURN % Record Type: TAVG % Country: United States % State: NC % Latitude: 34.33330 +/- 0.00005 % Longitude: -78.83330 +/- 0.00005 % Elevation (m): 32.31 +/- 0.15 % # of Months: 68 % % Alternate Names: Missing Station ID - 311647 % % IDs: coop - 311647 % ghcnd - USC00311647 % ncdc - 12003876 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 420552f675ff455637120f2904e0d5b4 % Raw Data Hash: f843e72c99564b788012cd99f562d219 % Adj Data Hash: c4e5d6594d4de09e7fc2d993f04d7d56 % % 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 1922 3 NaN NaN NaN NaN NaN NaN 12.634 0.960 1922 4 NaN NaN NaN NaN NaN NaN 17.712 0.898 1922 5 NaN NaN NaN NaN NaN NaN 21.299 0.015 1922 6 NaN NaN NaN NaN NaN NaN 25.178 0.444 1922 7 NaN NaN NaN NaN NaN NaN 26.341 -0.226 1922 8 NaN NaN NaN NaN NaN NaN 24.318 -1.769 1922 9 NaN NaN NaN NaN NaN NaN 23.803 0.764 1922 10 NaN NaN NaN NaN NaN NaN 17.121 0.436 1922 11 NaN NaN NaN NaN NaN NaN 12.051 0.500 1922 12 NaN NaN NaN NaN NaN NaN 9.274 2.218 1923 1 NaN NaN NaN NaN NaN NaN 8.241 2.258 1923 2 NaN NaN NaN NaN NaN NaN 5.934 -1.423 1923 3 15.182 2.993 1 0 NaN NaN 12.965 1.292 1923 4 NaN NaN NaN NaN NaN NaN 15.953 -0.861 1923 5 20.227 -1.572 1 0 NaN NaN 19.856 -1.427 1923 6 25.007 -0.243 1 0 NaN NaN 24.952 0.217 1923 7 26.105 -0.977 1 0 NaN NaN 26.139 -0.427 1923 8 NaN NaN NaN NaN NaN NaN 26.133 0.045 1923 9 NaN NaN NaN NaN NaN NaN 24.024 0.985 1923 10 NaN NaN NaN NaN NaN NaN 15.933 -0.752 1923 11 NaN NaN NaN NaN NaN NaN 10.512 -1.039 1923 12 11.276 3.705 0 0 11.276 3.705 10.423 3.367 1924 1 8.188 1.689 1 0 NaN NaN 5.417 -0.566 1924 2 NaN NaN NaN NaN NaN NaN 5.186 -2.171 1924 3 NaN NaN NaN NaN NaN NaN 9.899 -1.775 1924 4 NaN NaN NaN NaN NaN NaN 16.030 -0.784 1924 5 NaN NaN NaN NaN NaN NaN 19.931 -1.353 1924 6 NaN NaN NaN NaN NaN NaN 25.285 0.550 1924 7 NaN NaN NaN NaN NaN NaN 25.465 -1.101 1924 8 NaN NaN NaN NaN NaN NaN 26.342 0.255 1924 9 NaN NaN NaN NaN NaN NaN 21.285 -1.754 1924 10 NaN NaN NaN NaN NaN NaN 15.678 -1.007 1924 11 NaN NaN NaN NaN NaN NaN 12.021 0.470 1924 12 NaN NaN NaN NaN NaN NaN 7.795 0.739 1925 1 NaN NaN NaN NaN NaN NaN 5.583 -0.400 1925 2 12.166 4.294 1 0 NaN NaN 10.209 2.852 1925 3 14.318 2.129 0 2 14.318 2.129 13.002 1.328 1925 4 18.265 0.936 0 0 18.265 0.936 18.276 1.462 1925 5 19.329 -2.469 0 0 19.329 -2.469 19.508 -1.775 1925 6 25.672 0.422 0 0 25.672 0.422 26.058 1.323 1925 7 27.945 0.863 0 0 27.945 0.863 27.236 0.669 1925 8 26.271 -0.331 0 0 26.271 -0.331 26.089 0.002 1925 9 26.568 3.014 0 0 26.568 3.014 27.108 4.069 1925 10 18.060 0.860 0 0 18.060 0.860 16.879 0.194 1925 11 10.975 -1.091 0 0 10.975 -1.091 10.233 -1.318 1925 12 6.529 -1.042 0 0 6.529 -1.042 5.887 -1.169 1926 1 10.004 3.506 1 0 NaN NaN 5.577 -0.406 1926 2 NaN NaN NaN NaN NaN NaN 8.249 0.891 1926 3 NaN NaN NaN NaN NaN NaN 8.323 -3.351 1926 4 NaN NaN NaN NaN NaN NaN 15.611 -1.203 1926 5 21.037 -0.762 0 0 21.037 -0.762 21.030 -0.253 1926 6 25.168 -0.081 0 0 25.168 -0.081 24.617 -0.117 1926 7 27.166 0.084 0 0 27.166 0.084 26.896 0.329 1926 8 27.406 0.804 0 0 27.406 0.804 27.170 1.082 1926 9 24.787 1.233 0 0 24.787 1.233 25.162 2.123 1926 10 18.129 0.929 0 0 18.129 0.929 17.606 0.921 1926 11 10.783 -1.282 0 0 10.783 -1.282 10.156 -1.395 1926 12 9.719 2.148 0 0 9.719 2.148 8.255 1.200 1927 1 8.395 1.897 0 0 8.395 1.897 6.408 0.425 1927 2 13.188 5.316 0 0 13.188 5.316 12.156 4.799 1927 3 12.752 0.563 0 0 12.752 0.563 12.337 0.663 1927 4 16.410 -0.919 0 0 16.410 -0.919 17.091 0.277 1927 5 21.929 0.131 0 0 21.929 0.131 21.702 0.418 1927 6 24.764 -0.486 0 0 24.764 -0.486 23.537 -1.198 1927 7 25.745 -1.337 0 0 25.745 -1.337 25.653 -0.914 1927 8 24.778 -1.825 0 0 24.778 -1.825 24.091 -1.996 1927 9 23.587 0.033 0 0 23.587 0.033 24.004 0.965 1927 10 18.247 1.046 0 0 18.247 1.046 17.639 0.954 1927 11 14.843 2.777 0 0 14.843 2.777 13.740 2.189 1927 12 8.652 1.081 0 0 8.652 1.081 7.278 0.222 1928 1 7.495 0.997 0 0 7.495 0.997 5.782 -0.201 1928 2 8.277 0.405 1 0 NaN NaN 6.450 -0.908 1928 3 12.263 0.074 0 0 12.263 0.074 11.374 -0.300 1928 4 16.014 -1.315 0 0 16.014 -1.315 15.404 -1.410 1928 5 19.463 -2.335 0 0 19.463 -2.335 19.512 -1.771 1928 6 25.480 0.230 0 0 25.480 0.230 24.585 -0.149 1928 7 26.463 -0.619 0 0 26.463 -0.619 26.525 -0.042 1928 8 26.916 0.314 0 0 26.916 0.314 26.570 0.483 1928 9 22.514 -1.041 0 0 22.514 -1.041 21.975 -1.064 1928 10 19.305 2.105 0 0 19.305 2.105 18.357 1.671 1928 11 11.432 -0.634 0 0 11.432 -0.634 11.678 0.127 1928 12 7.824 0.254 0 0 7.824 0.254 7.297 0.241 1929 1 9.210 2.712 0 0 9.210 2.712 7.355 1.372 1929 2 7.602 -0.270 0 0 7.602 -0.270 5.944 -1.413 1929 3 14.950 2.761 0 0 14.950 2.761 14.102 2.428 1929 4 18.047 0.718 0 0 18.047 0.718 17.900 1.087 1929 5 21.050 -0.748 0 0 21.050 -0.748 20.628 -0.655 1929 6 23.674 -1.576 0 0 23.674 -1.576 23.515 -1.219 1929 7 25.379 -1.703 0 0 25.379 -1.703 25.410 -1.156 1929 8 25.769 -0.833 0 0 25.769 -0.833 25.445 -0.642 1929 9 22.548 -1.006 0 0 22.548 -1.006 22.840 -0.199 1929 10 16.701 -0.499 0 0 16.701 -0.499 15.703 -0.982 1929 11 12.575 0.509 0 0 12.575 0.509 12.601 1.050 1929 12 7.613 0.042 0 0 7.613 0.042 7.070 0.015 1930 1 NaN NaN NaN NaN NaN NaN 7.262 1.279 1930 2 NaN NaN NaN NaN NaN NaN 9.654 2.296 1930 3 24.155 11.966 1 0 NaN NaN 10.184 -1.490 1930 4 NaN NaN NaN NaN NaN NaN 17.214 0.400 1930 5 NaN NaN NaN NaN NaN NaN 22.208 0.925 1930 6 NaN NaN NaN NaN NaN NaN 23.943 -0.792 1930 7 NaN NaN NaN NaN NaN NaN 27.639 1.073 1930 8 NaN NaN NaN NaN NaN NaN 24.801 -1.286 1930 9 25.640 2.086 0 0 25.640 2.086 25.608 2.569 1930 10 14.869 -2.331 0 0 14.869 -2.331 14.811 -1.874 1930 11 10.509 -1.557 0 0 10.509 -1.557 10.485 -1.066 1930 12 NaN NaN NaN NaN NaN NaN 4.765 -2.291 1931 1 6.979 0.481 0 0 6.979 0.481 5.797 -0.186 1931 2 8.270 0.398 0 0 8.270 0.398 7.353 -0.005 1931 3 NaN NaN NaN NaN NaN NaN 8.844 -2.830 1931 4 NaN NaN NaN NaN NaN NaN 15.635 -1.179 1931 5 NaN NaN NaN NaN NaN NaN 20.151 -1.132 1931 6 NaN NaN NaN NaN NaN NaN 25.148 0.414 1931 7 NaN NaN NaN NaN NaN NaN 28.101 1.534 1931 8 NaN NaN NaN NaN NaN NaN 25.832 -0.255 1931 9 NaN NaN NaN NaN NaN NaN 25.374 2.335 1931 10 NaN NaN NaN NaN NaN NaN 18.015 1.330 1931 11 NaN NaN NaN NaN NaN NaN 14.800 3.249 1931 12 NaN NaN NaN NaN NaN NaN 11.193 4.137 1932 1 NaN NaN NaN NaN NaN NaN 11.643 5.660 1932 2 NaN NaN NaN NaN NaN NaN 10.932 3.574