% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32747 % Primary Name: NEW CHURCH % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.98330 +/- 0.00005 % Longitude: -75.53330 +/- 0.00005 % Elevation (m): 30.48 +/- 0.15 % # of Months: 54 % % Alternate Names: Missing Station ID - 446018 % % IDs: coop - 446018 % ghcnd - USC00446018 % ncdc - 12005766 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 07178ec384ea5b89e1ae2f52f5c812e2 % Raw Data Hash: c572138a2d51d8ff8789082543d41b08 % Adj Data Hash: 491ebba769dcd55cbf47a50d8d0333ff % % 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 1940 5 NaN NaN NaN NaN NaN NaN 16.341 -0.716 1940 6 NaN NaN NaN NaN NaN NaN 22.378 0.707 1940 7 NaN NaN NaN NaN NaN NaN 24.004 -0.376 1940 8 NaN NaN NaN NaN NaN NaN 23.374 -0.889 1940 9 NaN NaN NaN NaN NaN NaN 20.161 -1.260 1940 10 NaN NaN NaN NaN NaN NaN 13.608 -2.054 1940 11 NaN NaN NaN NaN NaN NaN 10.758 0.178 1940 12 NaN NaN NaN NaN NaN NaN 7.627 2.022 1941 1 NaN NaN NaN NaN NaN NaN 3.273 -0.248 1941 2 NaN NaN NaN NaN NaN NaN 1.654 -2.296 1941 3 NaN NaN NaN NaN NaN NaN 4.444 -2.943 1941 4 NaN NaN NaN NaN NaN NaN 13.487 1.329 1941 5 22.818 5.929 1 0 NaN NaN 18.114 1.057 1941 6 23.265 1.763 1 0 NaN NaN 21.420 -0.251 1941 7 24.278 0.067 0 0 24.616 0.405 24.346 -0.034 1941 8 23.227 -0.867 0 0 23.565 -0.529 23.917 -0.346 1941 9 21.973 0.721 0 0 22.311 1.059 22.828 1.407 1941 10 17.780 2.287 0 0 18.118 2.625 18.770 3.108 1941 11 9.509 -0.903 1 0 NaN NaN 11.973 1.394 1941 12 5.040 -0.396 0 0 5.378 -0.058 6.939 1.333 1942 1 1.355 -1.998 0 0 1.693 -1.660 2.683 -0.838 1942 2 1.677 -2.106 0 0 2.015 -1.768 1.983 -1.967 1942 3 7.462 0.244 0 0 7.800 0.582 8.359 0.972 1942 4 12.386 0.397 0 0 12.724 0.735 13.139 0.981 1942 5 19.261 2.373 0 0 19.599 2.711 19.023 1.966 1942 6 23.395 1.893 0 0 23.733 2.231 22.848 1.178 1942 7 25.352 1.140 0 0 25.690 1.478 25.506 1.127 1942 8 23.310 -0.785 0 0 23.648 -0.447 23.816 -0.447 1942 9 21.578 0.326 0 0 21.916 0.664 22.440 1.019 1942 10 15.281 -0.212 0 0 15.619 0.126 16.408 0.747 1942 11 9.755 -0.656 1 0 NaN NaN 11.713 1.133 1942 12 2.490 -2.947 1 0 NaN NaN 3.788 -1.817 1943 1 NaN NaN NaN NaN NaN NaN 4.622 1.101 1943 2 NaN NaN NaN NaN NaN NaN 4.536 0.585 1943 3 NaN NaN NaN NaN NaN NaN 7.469 0.082 1943 4 NaN NaN NaN NaN NaN NaN 10.479 -1.678 1943 5 19.231 2.342 0 0 19.569 2.680 18.150 1.093 1943 6 25.485 3.983 0 0 25.823 4.321 24.560 2.890 1943 7 25.370 1.159 0 0 25.708 1.497 24.557 0.177 1943 8 24.879 0.785 0 0 25.217 1.123 24.505 0.243 1943 9 19.660 -1.592 0 0 19.998 -1.254 20.500 -0.920 1943 10 13.261 -2.232 0 0 13.599 -1.894 14.371 -1.290 1943 11 7.972 -2.439 0 0 8.310 -2.102 9.907 -0.673 1943 12 3.097 -2.340 0 4 2.821 -2.615 4.085 -1.520 1944 1 3.628 0.275 0 0 3.353 0.000 4.066 0.545 1944 2 3.912 0.130 0 0 3.637 -0.146 4.008 0.057 1944 3 6.706 -0.512 0 0 6.431 -0.788 6.644 -0.743 1944 4 12.523 0.533 0 0 12.247 0.258 11.890 -0.268 1944 5 20.555 3.666 0 0 20.279 3.391 19.565 2.508 1944 6 23.038 1.536 0 0 22.763 1.260 22.486 0.815 1944 7 24.885 0.674 0 0 24.610 0.399 24.375 -0.005 1944 8 24.426 0.332 0 0 24.150 0.056 23.925 -0.337 1944 9 21.895 0.642 0 0 21.619 0.367 22.198 0.777 1944 10 14.443 -1.050 0 0 14.168 -1.326 15.036 -0.626 1944 11 8.703 -1.708 0 0 8.428 -1.983 10.094 -0.486 1944 12 3.111 -2.325 0 0 2.836 -2.601 3.360 -2.246 1945 1 1.397 -1.956 0 0 1.121 -2.231 1.531 -1.990 1945 2 4.686 0.903 0 0 4.410 0.628 4.070 0.119 1945 3 12.898 5.680 0 0 12.623 5.404 12.568 5.180 1945 4 14.988 2.999 0 0 14.713 2.724 14.354 2.196 1945 5 17.019 0.131 0 0 16.744 -0.144 16.169 -0.888 1945 6 23.518 2.016 0 0 23.243 1.741 22.539 0.868 1945 7 24.881 0.669 0 0 24.605 0.394 24.160 -0.220 1945 8 24.037 -0.057 0 0 23.762 -0.333 23.400 -0.862 1945 9 23.645 2.393 0 0 23.370 2.117 23.516 2.095 1945 10 15.410 -0.084 0 0 15.134 -0.359 15.282 -0.380 1945 11 11.124 0.713 0 0 10.849 0.438 12.125 1.545 1945 12 1.221 -4.216 0 0 0.946 -4.491 2.377 -3.229 1946 1 4.347 0.994 0 0 4.071 0.719 4.445 0.924 1946 2 5.234 1.452 0 0 4.959 1.176 4.973 1.023 1946 3 NaN NaN NaN NaN NaN NaN 11.257 3.870 1946 4 NaN NaN NaN NaN NaN NaN 12.179 0.022 1946 5 NaN NaN NaN NaN NaN NaN 17.281 0.225 1946 6 NaN NaN NaN NaN NaN NaN 20.713 -0.958 1946 7 NaN NaN NaN NaN NaN NaN 23.111 -1.268 1946 8 NaN NaN NaN NaN NaN NaN 22.357 -1.906 1946 9 NaN NaN NaN NaN NaN NaN 21.642 0.222 1946 10 NaN NaN NaN NaN NaN NaN 16.800 1.138 1946 11 NaN NaN NaN NaN NaN NaN 13.097 2.518 1946 12 NaN NaN NaN NaN NaN NaN 7.444 1.839 1947 1 NaN NaN NaN NaN NaN NaN 7.522 4.001 1947 2 NaN NaN NaN NaN NaN NaN 1.076 -2.875