% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31354 % Primary Name: SUNBEAM % Record Type: TAVG % Country: United States % State: VA % Latitude: 36.50000 +/- 0.00833 % Longitude: -77.00000 +/- 0.00833 % Elevation (m): 18.29 +/- 0.15 % # of Months: 71 % % Alternate Names: Missing Station ID - 448220 % % IDs: coop - 448220 % ghcnd - USC00448220 % ncdc - 12005790 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5fa8b42d9b350b804bd93e007e3cc3b0 % Raw Data Hash: 41dbbc467d3d355352ea6c2b94f0cd92 % Adj Data Hash: 125008932ed1a66fdfeda079f05f5038 % % 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 1893 12 NaN NaN NaN NaN NaN NaN 6.567 0.894 1894 1 NaN NaN NaN NaN NaN NaN 5.995 1.614 1894 2 NaN NaN NaN NaN NaN NaN 5.992 0.480 1894 3 NaN NaN NaN NaN NaN NaN 12.356 2.517 1894 4 NaN NaN NaN NaN NaN NaN 14.310 -0.884 1894 5 NaN NaN NaN NaN NaN NaN 20.564 0.864 1894 6 NaN NaN NaN NaN NaN NaN 23.857 0.303 1894 7 NaN NaN NaN NaN NaN NaN 25.313 -0.434 1894 8 NaN NaN NaN NaN NaN NaN 23.856 -1.405 1894 9 NaN NaN NaN NaN NaN NaN 23.020 1.021 1894 10 NaN NaN NaN NaN NaN NaN 15.369 -0.226 1894 11 NaN NaN NaN NaN NaN NaN 9.183 -1.326 1894 12 5.663 0.286 0 0 5.663 0.286 5.851 0.178 1895 1 4.122 0.037 0 0 4.122 0.037 3.631 -0.751 1895 2 -1.111 -6.327 0 0 -1.111 -6.327 -1.045 -6.557 1895 3 7.957 -1.586 0 0 7.957 -1.586 8.763 -1.076 1895 4 13.704 -1.193 0 0 13.704 -1.193 14.255 -0.939 1895 5 17.724 -1.678 0 0 17.724 -1.678 17.891 -1.808 1895 6 24.222 0.965 0 0 24.222 0.965 24.150 0.596 1895 7 24.176 -1.275 0 0 24.176 -1.275 24.277 -1.470 1895 8 25.072 0.108 0 0 25.072 0.108 25.209 -0.051 1895 9 23.685 1.983 0 0 23.685 1.983 24.297 2.298 1895 10 12.370 -2.928 0 0 12.370 -2.928 12.930 -2.666 1895 11 10.778 0.566 0 0 10.778 0.566 11.008 0.500 1895 12 6.000 0.623 0 0 6.000 0.623 5.740 0.066 1896 1 2.670 -1.414 0 0 2.670 -1.414 3.284 -1.097 1896 2 4.913 -0.303 0 0 4.913 -0.303 5.199 -0.314 1896 3 7.240 -2.303 0 0 7.240 -2.303 8.200 -1.639 1896 4 16.037 1.140 0 0 16.037 1.140 16.921 1.728 1896 5 22.384 2.981 0 0 22.384 2.981 22.317 2.618 1896 6 25.444 2.187 0 0 25.444 2.187 23.227 -0.327 1896 7 26.559 1.109 0 0 26.559 1.109 26.106 0.359 1896 8 25.269 0.305 0 0 25.269 0.305 25.757 0.497 1896 9 21.000 -0.702 0 0 21.000 -0.702 21.931 -0.067 1896 10 12.652 -2.646 0 0 12.652 -2.646 13.595 -2.001 1896 11 11.889 1.677 0 0 11.889 1.677 13.066 2.557 1896 12 2.401 -2.975 0 0 2.401 -2.975 3.740 -1.934 1897 1 1.254 -2.830 0 0 1.254 -2.830 2.273 -2.109 1897 2 4.938 -0.277 1 0 NaN NaN 6.208 0.695 1897 3 8.978 -0.564 0 0 8.978 -0.564 10.706 0.866 1897 4 11.519 -3.378 0 0 11.519 -3.378 14.620 -0.574 1897 5 15.842 -3.560 0 0 15.842 -3.560 18.207 -1.492 1897 6 23.296 0.039 0 0 23.296 0.039 23.688 0.134 1897 7 25.824 0.374 0 0 25.824 0.374 25.600 -0.147 1897 8 24.337 -0.627 0 0 24.337 -0.627 24.727 -0.533 1897 9 21.241 -0.461 0 0 21.241 -0.461 22.276 0.277 1897 10 15.896 0.597 0 0 15.896 0.597 16.548 0.953 1897 11 9.000 -1.212 0 0 9.000 -1.212 11.429 0.920 1897 12 5.204 -0.173 0 0 5.204 -0.173 6.080 0.407 1898 1 6.559 2.475 0 0 6.559 2.475 6.301 1.920 1898 2 4.325 -0.890 0 0 4.325 -0.890 3.661 -1.851 1898 3 12.348 2.805 0 0 12.348 2.805 12.206 2.367 1898 4 11.907 -2.989 0 0 11.907 -2.989 12.857 -2.337 1898 5 19.176 -0.227 0 0 19.176 -0.227 19.962 0.263 1898 6 23.259 0.002 0 0 23.259 0.002 23.746 0.192 1898 7 25.981 0.531 0 0 25.981 0.531 26.210 0.463 1898 8 26.147 1.183 0 0 26.147 1.183 25.943 0.683 1898 9 22.926 1.224 0 0 22.926 1.224 23.483 1.484 1898 10 17.151 1.852 0 0 17.151 1.852 16.045 0.450 1898 11 9.241 -0.971 0 0 9.241 -0.971 9.188 -1.321 1898 12 5.824 0.448 0 0 5.824 0.448 5.146 -0.528 1899 1 5.538 1.453 0 0 5.538 1.453 3.965 -0.416 1899 2 2.817 -2.398 0 0 2.817 -2.398 1.464 -4.048 1899 3 10.184 0.641 0 0 10.184 0.641 9.806 -0.034 1899 4 12.783 -2.113 0 0 12.783 -2.113 13.804 -1.390 1899 5 18.955 -0.448 0 0 18.955 -0.448 19.762 0.063 1899 6 24.190 0.933 0 0 24.190 0.933 24.549 0.995 1899 7 25.098 -0.352 0 0 25.098 -0.352 25.170 -0.578 1899 8 25.698 0.735 0 0 25.698 0.735 25.582 0.321 1899 9 20.382 -1.320 0 0 20.382 -1.320 21.587 -0.411 1899 10 16.734 1.435 0 0 16.734 1.435 15.984 0.389 1899 11 11.030 0.818 0 0 11.030 0.818 10.798 0.290 1899 12 5.658 0.281 0 0 5.658 0.281 4.724 -0.950 1900 1 5.002 0.917 0 0 5.002 0.917 4.439 0.057 1900 2 4.473 -0.743 0 0 4.473 -0.743 3.432 -2.081 1900 3 8.203 -1.340 0 0 8.203 -1.340 7.858 -1.982 1900 4 14.040 -0.857 0 0 14.040 -0.857 14.552 -0.642 1900 5 19.018 -0.385 0 0 19.018 -0.385 19.574 -0.125 1900 6 23.608 0.351 0 0 23.608 0.351 24.040 0.486 1900 7 26.435 0.985 0 0 26.435 0.985 27.080 1.333 1900 8 27.024 2.061 0 0 27.024 2.061 27.930 2.669 1900 9 23.597 1.895 0 0 23.597 1.895 24.409 2.410 1900 10 18.515 3.216 0 0 18.515 3.216 18.099 2.503 1900 11 NaN NaN NaN NaN NaN NaN 12.427 1.918 1900 12 NaN NaN NaN NaN NaN NaN 4.751 -0.922 1901 1 NaN NaN NaN NaN NaN NaN 4.261 -0.121 1901 2 NaN NaN NaN NaN NaN NaN 2.266 -3.247 1901 3 NaN NaN NaN NaN NaN NaN 10.517 0.677 1901 4 NaN NaN NaN NaN NaN NaN 12.052 -3.142 1901 5 NaN NaN NaN NaN NaN NaN 19.372 -0.327 1901 6 NaN NaN NaN NaN NaN NaN 23.692 0.138 1901 7 NaN NaN NaN NaN NaN NaN 26.833 1.086 1901 8 NaN NaN NaN NaN NaN NaN 25.606 0.345 1901 9 NaN NaN NaN NaN NaN NaN 22.144 0.145 1901 10 NaN NaN NaN NaN NaN NaN 15.239 -0.356