% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31852 % Primary Name: DINWIDDIE % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.08330 +/- 0.00005 % Longitude: -77.60000 +/- 0.00005 % Elevation (m): 81.38 +/- 0.15 % # of Months: 57 % % Alternate Names: Missing Station ID - 442394 % % IDs: coop - 442394 % ghcnd - USC00442394 % ncdc - 12005732 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5b7de1da2d85457f0865e903bf9770fc % Raw Data Hash: 6d3aa755650d7464437ddcad4a1c9ce7 % Adj Data Hash: 463f9d22f9c176a462e052b250da745f % % 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 1903 10 NaN NaN NaN NaN NaN NaN 13.927 -0.471 1903 11 NaN NaN NaN NaN NaN NaN 6.813 -2.143 1903 12 NaN NaN NaN NaN NaN NaN 0.460 -3.273 1904 1 NaN NaN NaN NaN NaN NaN -0.994 -3.015 1904 2 NaN NaN NaN NaN NaN NaN -1.018 -4.347 1904 3 NaN NaN NaN NaN NaN NaN 7.549 -0.562 1904 4 NaN NaN NaN NaN NaN NaN 11.742 -2.060 1904 5 NaN NaN NaN NaN NaN NaN 18.537 -0.159 1904 6 NaN NaN NaN NaN NaN NaN 22.569 -0.359 1904 7 NaN NaN NaN NaN NaN NaN 24.323 -0.949 1904 8 NaN NaN NaN NaN NaN NaN 23.544 -1.119 1904 9 NaN NaN NaN NaN NaN NaN 20.929 -0.097 1904 10 12.921 -1.724 0 0 12.921 -1.724 12.773 -1.625 1904 11 7.130 -2.073 0 0 7.130 -2.073 7.119 -1.836 1904 12 0.791 -3.190 1 0 NaN NaN 0.342 -3.392 1905 1 1.308 -0.960 0 0 1.308 -0.960 -0.280 -2.301 1905 2 -1.008 -4.584 0 0 -1.008 -4.584 -2.450 -5.780 1905 3 9.611 1.253 0 0 9.611 1.253 8.919 0.808 1905 4 13.352 -0.697 0 0 13.352 -0.697 13.607 -0.195 1905 5 19.910 0.967 0 0 19.910 0.967 19.594 0.898 1905 6 22.963 -0.212 0 0 22.963 -0.212 22.795 -0.133 1905 7 25.108 -0.411 0 0 25.108 -0.411 25.162 -0.110 1905 8 23.704 -1.206 0 0 23.704 -1.206 23.752 -0.911 1905 9 20.630 -0.643 0 0 20.630 -0.643 21.182 0.156 1905 10 14.086 -0.559 0 0 14.086 -0.559 14.249 -0.149 1905 11 8.111 -1.092 0 0 8.111 -1.092 8.212 -0.744 1905 12 4.050 0.070 0 0 4.050 0.070 3.269 -0.464 1906 1 5.837 3.569 0 0 5.837 3.569 4.829 2.808 1906 2 3.556 -0.020 0 0 3.556 -0.020 2.148 -1.181 1906 3 5.584 -2.774 0 0 5.584 -2.774 4.951 -3.161 1906 4 13.750 -0.299 0 0 13.750 -0.299 14.157 0.356 1906 5 18.485 -0.458 0 0 18.485 -0.458 18.492 -0.204 1906 6 22.667 -0.508 0 0 22.667 -0.508 23.145 0.217 1906 7 23.924 -1.594 0 0 23.924 -1.594 24.281 -0.990 1906 8 25.624 0.715 0 0 25.624 0.715 25.448 0.785 1906 9 22.902 1.629 0 0 22.902 1.629 22.856 1.831 1906 10 14.516 -0.129 0 0 14.516 -0.129 13.726 -0.672 1906 11 8.672 -0.531 0 0 8.672 -0.531 9.122 0.166 1906 12 5.008 1.028 0 0 5.008 1.028 3.929 0.195 1907 1 7.012 4.744 0 0 7.012 4.744 4.649 2.628 1907 2 1.636 -1.940 0 0 1.636 -1.940 0.053 -3.276 1907 3 11.026 2.668 0 0 11.026 2.668 10.527 2.416 1907 4 9.724 -4.325 0 0 9.724 -4.325 9.977 -3.825 1907 5 16.240 -2.703 0 0 16.240 -2.703 16.355 -2.341 1907 6 19.105 -4.070 0 0 19.105 -4.070 19.250 -3.678 1907 7 24.550 -0.969 0 0 24.550 -0.969 24.941 -0.330 1907 8 23.143 -1.767 0 0 23.143 -1.767 23.317 -1.346 1907 9 21.875 0.602 0 0 21.875 0.602 21.990 0.965 1907 10 11.839 -2.807 0 0 11.839 -2.807 11.717 -2.681 1907 11 8.005 -1.197 1 0 NaN NaN 8.116 -0.839 1907 12 4.705 0.725 0 0 4.705 0.725 4.040 0.307 1908 1 2.465 0.197 0 0 2.465 0.197 1.934 -0.087 1908 2 2.611 -0.965 1 0 NaN NaN 0.530 -2.800 1908 3 11.315 2.956 0 0 11.315 2.956 10.451 2.340 1908 4 15.023 0.974 0 0 15.023 0.974 15.013 1.211 1908 5 19.237 0.294 0 0 19.237 0.294 18.864 0.168 1908 6 21.610 -1.565 0 0 21.610 -1.565 21.933 -0.995 1908 7 25.107 -0.411 0 0 25.107 -0.411 25.478 0.207 1908 8 22.674 -2.235 0 0 22.674 -2.235 23.149 -1.513 1908 9 19.130 -2.143 0 0 19.130 -2.143 19.869 -1.157 1908 10 13.902 -0.744 0 0 13.902 -0.744 14.631 0.233 1908 11 8.757 -0.446 0 0 8.757 -0.446 9.191 0.236 1908 12 4.916 0.936 0 0 4.916 0.936 4.029 0.295 1909 1 6.061 3.793 0 0 6.061 3.793 4.080 2.059 1909 2 8.370 4.794 1 0 NaN NaN 6.974 3.645 1909 3 7.221 -1.137 0 0 7.221 -1.137 7.004 -1.107 1909 4 13.785 -0.264 0 0 13.785 -0.264 13.835 0.033 1909 5 17.143 -1.800 0 0 17.143 -1.800 18.027 -0.669 1909 6 24.317 1.142 0 0 24.317 1.142 23.529 0.601 1909 7 NaN NaN NaN NaN NaN NaN 23.794 -1.477 1909 8 NaN NaN NaN NaN NaN NaN 23.032 -1.630 1909 9 NaN NaN NaN NaN NaN NaN 19.712 -1.313 1909 10 NaN NaN NaN NaN NaN NaN 11.912 -2.487 1909 11 NaN NaN NaN NaN NaN NaN 11.312 2.357 1909 12 NaN NaN NaN NaN NaN NaN 0.495 -3.239 1910 1 NaN NaN NaN NaN NaN NaN 2.180 0.159 1910 2 NaN NaN NaN NaN NaN NaN 2.313 -1.016 1910 3 NaN NaN NaN NaN NaN NaN 11.538 3.427 1910 4 NaN NaN NaN NaN NaN NaN 15.059 1.257 1910 5 NaN NaN NaN NaN NaN NaN 17.187 -1.509 1910 6 NaN NaN NaN NaN NaN NaN 20.957 -1.971