% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33374 % Primary Name: ARCOLA % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.58330 +/- 0.00005 % Longitude: -77.58330 +/- 0.00005 % Elevation (m): 83.82 +/- 0.15 % # of Months: 76 % % Alternate Names: Missing Station ID - 440280 % % IDs: coop - 440280 % ghcnd - USC00440280 % ncdc - 12005712 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e91b2250d8519221787aef5f8a88125c % Raw Data Hash: f12d471d0a46897fe77ba48ead20c889 % Adj Data Hash: 88f6e236076c08f08d9300e2ae1264c8 % % 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 1915 10 NaN NaN NaN NaN NaN NaN 15.311 0.913 1915 11 NaN NaN NaN NaN NaN NaN 9.307 0.351 1915 12 NaN NaN NaN NaN NaN NaN 1.961 -1.772 1916 1 NaN NaN NaN NaN NaN NaN 5.392 3.371 1916 2 NaN NaN NaN NaN NaN NaN 2.562 -0.767 1916 3 NaN NaN NaN NaN NaN NaN 5.578 -2.533 1916 4 NaN NaN NaN NaN NaN NaN 12.870 -0.932 1916 5 NaN NaN NaN NaN NaN NaN 19.791 1.095 1916 6 NaN NaN NaN NaN NaN NaN 21.150 -1.778 1916 7 NaN NaN NaN NaN NaN NaN 24.932 -0.340 1916 8 NaN NaN NaN NaN NaN NaN 24.276 -0.386 1916 9 NaN NaN NaN NaN NaN NaN 19.970 -1.055 1916 10 13.513 0.156 0 0 13.513 0.156 14.402 0.004 1916 11 7.886 -0.028 0 0 7.886 -0.028 9.056 0.101 1916 12 NaN NaN NaN NaN NaN NaN 2.733 -1.000 1917 1 1.189 0.209 0 0 1.189 0.209 3.027 1.006 1917 2 NaN NaN NaN NaN NaN NaN 1.989 -1.340 1917 3 NaN NaN NaN NaN NaN NaN 7.650 -0.461 1917 4 11.897 -0.864 0 0 11.897 -0.864 13.766 -0.036 1917 5 14.913 -2.742 0 0 14.913 -2.742 15.813 -2.883 1917 6 21.393 -0.494 0 0 21.393 -0.494 22.630 -0.298 1917 7 24.197 -0.034 0 0 24.197 -0.034 24.754 -0.518 1917 8 23.232 -0.389 0 0 23.232 -0.389 24.118 -0.545 1917 9 16.877 -3.108 0 0 16.877 -3.108 18.552 -2.474 1917 10 10.239 -3.119 0 0 10.239 -3.119 11.773 -2.625 1917 11 5.455 -2.460 0 0 5.455 -2.460 6.636 -2.320 1917 12 -3.042 -5.734 0 0 -3.042 -5.734 -1.830 -5.563 1918 1 NaN NaN NaN NaN NaN NaN -3.978 -5.999 1918 2 2.120 -0.169 0 0 2.120 -0.169 3.466 0.137 1918 3 8.881 1.810 0 0 8.881 1.810 10.210 2.099 1918 4 10.978 -1.783 0 0 10.978 -1.783 12.660 -1.141 1918 5 20.002 2.347 0 0 20.002 2.347 20.964 2.268 1918 6 20.833 -1.054 0 0 20.833 -1.054 21.375 -1.553 1918 7 22.595 -1.636 0 0 22.595 -1.636 23.101 -2.170 1918 8 24.697 1.075 0 0 24.697 1.075 25.251 0.589 1918 9 17.102 -2.883 0 0 17.102 -2.883 18.503 -2.523 1918 10 15.337 1.980 0 0 15.337 1.980 15.956 1.558 1918 11 6.632 -1.283 0 0 6.632 -1.283 8.652 -0.304 1918 12 4.532 1.840 0 0 4.532 1.840 5.410 1.677 1919 1 2.632 1.652 0 0 2.632 1.652 3.460 1.439 1919 2 2.489 0.201 0 0 2.489 0.201 2.876 -0.453 1919 3 7.885 0.815 0 0 7.885 0.815 9.423 1.312 1919 4 11.395 -1.366 0 0 11.395 -1.366 13.342 -0.460 1919 5 17.326 -0.329 0 0 17.326 -0.329 18.479 -0.218 1919 6 22.562 0.675 0 0 22.562 0.675 22.571 -0.357 1919 7 24.416 0.185 0 0 24.416 0.185 24.997 -0.275 1919 8 22.772 -0.850 0 0 22.772 -0.850 23.527 -1.135 1919 9 22.139 2.154 0 0 22.139 2.154 21.413 0.387 1919 10 18.761 5.404 0 0 18.761 5.404 18.647 4.248 1919 11 9.328 1.413 0 0 9.328 1.413 9.321 0.366 1919 12 -0.969 -3.661 0 0 -0.969 -3.661 1.087 -2.647 1920 1 -2.161 -3.141 0 0 -2.161 -3.141 0.199 -1.822 1920 2 NaN NaN NaN NaN NaN NaN 0.840 -2.489 1920 3 6.303 -0.767 0 0 6.303 -0.767 8.266 0.155 1920 4 10.243 -2.518 0 0 10.243 -2.518 12.994 -0.807 1920 5 14.661 -2.994 0 0 14.661 -2.994 15.633 -3.063 1920 6 21.368 -0.519 0 0 21.368 -0.519 22.019 -0.909 1920 7 23.335 -0.895 0 0 23.335 -0.895 23.700 -1.571 1920 8 23.645 0.023 0 0 23.645 0.023 23.847 -0.816 1920 9 20.041 0.057 0 0 20.041 0.057 21.245 0.219 1920 10 15.908 2.551 0 0 15.908 2.551 15.915 1.517 1920 11 7.188 -0.726 0 0 7.188 -0.726 8.464 -0.491 1920 12 3.563 0.871 0 0 3.563 0.871 4.204 0.471 1921 1 2.318 1.338 0 0 2.318 1.338 3.406 1.385 1921 2 NaN NaN NaN NaN NaN NaN 4.416 1.087 1921 3 12.935 5.865 0 0 12.935 5.865 14.123 6.012 1921 4 15.228 2.467 1 0 NaN NaN 16.158 2.356 1921 5 16.850 -0.805 0 0 16.850 -0.805 16.990 -1.706 1921 6 21.598 -0.289 1 0 NaN NaN 23.181 0.253 1921 7 26.015 1.784 0 0 26.015 1.784 26.280 1.009 1921 8 22.347 -1.275 0 0 22.347 -1.275 23.629 -1.034 1921 9 23.268 3.284 0 0 23.268 3.284 24.430 3.404 1921 10 NaN NaN NaN NaN NaN NaN 14.188 -0.210 1921 11 8.416 0.501 0 0 8.416 0.501 10.639 1.683 1921 12 2.847 0.154 0 0 2.847 0.154 4.083 0.350 1922 1 NaN NaN NaN NaN NaN NaN 0.625 -1.396 1922 2 NaN NaN NaN NaN NaN NaN 4.419 1.090 1922 3 7.034 -0.036 0 0 7.034 -0.036 9.029 0.918 1922 4 12.793 0.032 0 0 12.793 0.032 14.690 0.889 1922 5 18.580 0.925 0 0 18.580 0.925 19.162 0.466 1922 6 23.268 1.381 0 0 23.268 1.381 23.631 0.703 1922 7 25.769 1.539 0 0 25.769 1.539 24.796 -0.475 1922 8 24.118 0.497 1 0 NaN NaN 23.067 -1.596 1922 9 20.398 0.414 0 0 20.398 0.414 21.539 0.514 1922 10 14.503 1.146 0 0 14.503 1.146 15.383 0.984 1922 11 7.993 0.079 0 0 7.993 0.079 9.259 0.303 1922 12 2.679 -0.013 0 0 2.679 -0.013 4.521 0.788 1923 1 NaN NaN NaN NaN NaN NaN 3.335 1.314 1923 2 0.329 -1.960 0 0 0.329 -1.960 1.181 -2.148 1923 3 6.632 -0.438 0 0 6.632 -0.438 8.876 0.765 1923 4 11.300 -1.461 0 0 11.300 -1.461 13.068 -0.734 1923 5 16.918 -0.737 1 0 NaN NaN 17.334 -1.362 1923 6 23.730 1.843 0 0 23.730 1.843 24.043 1.115 1923 7 24.259 0.029 0 0 24.259 0.029 24.308 -0.963 1923 8 23.013 -0.609 0 0 23.013 -0.609 23.888 -0.774 1923 9 20.127 0.142 0 0 20.127 0.142 21.388 0.362 1923 10 13.068 -0.289 1 0 NaN NaN 13.263 -1.135 1923 11 NaN NaN NaN NaN NaN NaN 7.992 -0.964 1923 12 6.152 3.459 0 0 6.152 3.459 7.532 3.799 1924 1 NaN NaN NaN NaN NaN NaN 2.234 0.213 1924 2 NaN NaN NaN NaN NaN NaN 1.609 -1.720 1924 3 NaN NaN NaN NaN NaN NaN 7.035 -1.076 1924 4 NaN NaN NaN NaN NaN NaN 12.026 -1.776 1924 5 NaN NaN NaN NaN NaN NaN 16.598 -2.098 1924 6 NaN NaN NaN NaN NaN NaN 22.185 -0.743 1924 7 NaN NaN NaN NaN NaN NaN 23.604 -1.667 1924 8 NaN NaN NaN NaN NaN NaN 24.245 -0.417 1924 9 NaN NaN NaN NaN NaN NaN 18.773 -2.253 1924 10 NaN NaN NaN NaN NaN NaN 13.701 -0.698 1924 11 NaN NaN NaN NaN NaN NaN 9.077 0.121 1924 12 NaN NaN NaN NaN NaN NaN 3.580 -0.153