% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31654 % Primary Name: IVOR % Record Type: TAVG % Country: United States % State: VA % Latitude: 36.86670 +/- 0.00005 % Longitude: -76.91670 +/- 0.00005 % Elevation (m): 27.43 +/- 0.15 % # of Months: 98 % % Alternate Names: Missing Station ID - 444365 % % IDs: coop - 444365 % ghcnd - USC00444365 % ncdc - 12005750 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 59016acbaae3567fa5acd8d5f4fa2afa % Raw Data Hash: 47964ced65a08897537650dfdb6c2b20 % Adj Data Hash: 93f9d6077e5a9aaf064cf2f79e4da78e % % 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 1907 8 NaN NaN NaN NaN NaN NaN 24.265 -0.995 1907 9 NaN NaN NaN NaN NaN NaN 23.332 1.333 1907 10 NaN NaN NaN NaN NaN NaN 13.341 -2.255 1907 11 NaN NaN NaN NaN NaN NaN 9.676 -0.833 1907 12 NaN NaN NaN NaN NaN NaN 5.934 0.260 1908 1 NaN NaN NaN NaN NaN NaN 4.061 -0.320 1908 2 NaN NaN NaN NaN NaN NaN 3.215 -2.298 1908 3 NaN NaN NaN NaN NaN NaN 12.781 2.942 1908 4 NaN NaN NaN NaN NaN NaN 16.741 1.547 1908 5 NaN NaN NaN NaN NaN NaN 19.620 -0.079 1908 6 NaN NaN NaN NaN NaN NaN 22.594 -0.961 1908 7 NaN NaN NaN NaN NaN NaN 25.592 -0.155 1908 8 23.645 -1.420 0 0 23.645 -1.420 23.817 -1.444 1908 9 19.705 -2.098 0 0 19.705 -2.098 20.746 -1.253 1908 10 15.265 -0.135 0 0 15.265 -0.135 15.344 -0.252 1908 11 10.125 -0.188 0 0 10.125 -0.188 11.201 0.693 1908 12 6.515 1.037 0 0 6.515 1.037 6.667 0.994 1909 1 7.400 3.214 0 0 7.400 3.214 6.911 2.529 1909 2 9.541 4.224 0 0 9.541 4.224 8.727 3.214 1909 3 8.305 -1.339 0 0 8.305 -1.339 8.701 -1.139 1909 4 13.533 -1.465 1 0 NaN NaN 15.609 0.415 1909 5 19.006 -0.497 0 0 19.006 -0.497 18.719 -0.980 1909 6 23.612 0.253 0 0 23.612 0.253 24.246 0.691 1909 7 23.595 -1.957 0 0 23.595 -1.957 23.812 -1.935 1909 8 22.805 -2.260 0 0 22.805 -2.260 23.547 -1.714 1909 9 20.007 -1.797 0 0 20.007 -1.797 20.516 -1.483 1909 10 13.524 -1.876 0 0 13.524 -1.876 13.080 -2.516 1909 11 12.570 2.257 0 0 12.570 2.257 12.627 2.118 1909 12 1.787 -3.691 0 0 1.787 -3.691 2.821 -2.852 1910 1 4.111 -0.075 0 0 4.111 -0.075 4.517 0.136 1910 2 5.384 0.067 0 0 5.384 0.067 4.579 -0.934 1910 3 12.213 2.569 0 0 12.213 2.569 13.189 3.349 1910 4 15.313 0.315 0 0 15.313 0.315 15.884 0.691 1910 5 17.955 -1.549 0 0 17.955 -1.549 18.275 -1.424 1910 6 21.673 -1.685 0 0 21.673 -1.685 21.992 -1.562 1910 7 25.618 0.066 0 0 25.618 0.066 25.573 -0.174 1910 8 23.744 -1.321 0 0 23.744 -1.321 24.342 -0.918 1910 9 22.253 0.450 0 0 22.253 0.450 22.952 0.953 1910 10 15.094 -0.306 0 0 15.094 -0.306 16.679 1.084 1910 11 6.493 -3.820 0 0 6.493 -3.820 7.481 -3.027 1910 12 NaN NaN NaN NaN NaN NaN 2.221 -3.452 1911 1 NaN NaN NaN NaN NaN NaN 7.149 2.768 1911 2 NaN NaN NaN NaN NaN NaN 6.255 0.742 1911 3 11.580 1.936 1 0 NaN NaN 8.610 -1.229 1911 4 12.050 -2.948 0 0 12.050 -2.948 13.002 -2.191 1911 5 NaN NaN NaN NaN NaN NaN 20.718 1.019 1911 6 23.807 0.448 0 0 23.807 0.448 24.509 0.955 1911 7 25.674 0.122 0 0 25.674 0.122 25.894 0.146 1911 8 25.435 0.371 0 0 25.435 0.371 25.683 0.422 1911 9 23.097 1.293 0 0 23.097 1.293 24.093 2.094 1911 10 16.813 1.413 0 0 16.813 1.413 16.311 0.715 1911 11 9.115 -1.198 0 0 9.115 -1.198 9.553 -0.955 1911 12 NaN NaN NaN NaN NaN NaN 7.435 1.762 1912 1 6.939 2.753 0 0 6.939 2.753 0.351 -4.031 1912 2 12.766 7.448 0 0 12.766 7.448 2.303 -3.210 1912 3 9.802 0.158 0 0 9.802 0.158 8.936 -0.904 1912 4 NaN NaN NaN NaN NaN NaN 16.676 1.482 1912 5 17.429 -2.075 0 0 17.429 -2.075 20.000 0.301 1912 6 NaN NaN NaN NaN NaN NaN 22.632 -0.922 1912 7 25.166 -0.386 0 0 25.166 -0.386 25.226 -0.521 1912 8 24.389 -0.676 0 0 24.389 -0.676 24.923 -0.338 1912 9 23.087 1.283 0 0 23.087 1.283 23.924 1.925 1912 10 16.189 0.789 0 0 16.189 0.789 15.939 0.344 1912 11 9.682 -0.632 0 0 9.682 -0.632 10.124 -0.384 1912 12 6.259 0.781 0 0 6.259 0.781 7.015 1.342 1913 1 9.398 5.212 0 0 9.398 5.212 9.793 5.412 1913 2 4.513 -0.805 0 0 4.513 -0.805 5.451 -0.062 1913 3 11.699 2.055 0 0 11.699 2.055 12.533 2.694 1913 4 14.035 -0.963 0 0 14.035 -0.963 15.149 -0.045 1913 5 NaN NaN NaN NaN NaN NaN 19.758 0.059 1913 6 NaN NaN NaN NaN NaN NaN 22.785 -0.769 1913 7 25.957 0.405 0 0 25.957 0.405 26.122 0.375 1913 8 23.521 -1.544 0 0 23.521 -1.544 24.233 -1.027 1913 9 20.203 -1.601 0 0 20.203 -1.601 21.079 -0.920 1913 10 15.689 0.289 0 0 15.689 0.289 15.616 0.021 1913 11 NaN NaN NaN NaN NaN NaN 10.518 0.010 1913 12 5.624 0.146 0 0 5.624 0.146 6.369 0.695 1914 1 5.859 1.673 0 0 5.859 1.673 6.251 1.869 1914 2 3.509 -1.808 0 0 3.509 -1.808 2.766 -2.747 1914 3 NaN NaN NaN NaN NaN NaN 6.614 -3.226 1914 4 14.000 -0.998 0 0 14.000 -0.998 14.873 -0.320 1914 5 19.287 -0.217 0 0 19.287 -0.217 19.910 0.211 1914 6 25.038 1.680 0 0 25.038 1.680 24.674 1.120 1914 7 24.318 -1.234 0 0 24.318 -1.234 24.920 -0.827 1914 8 25.287 0.222 0 0 25.287 0.222 25.461 0.200 1914 9 NaN NaN NaN NaN NaN NaN 20.621 -1.377 1914 10 16.234 0.834 0 0 16.234 0.834 16.446 0.851 1914 11 NaN NaN NaN NaN NaN NaN 9.878 -0.631 1914 12 NaN NaN NaN NaN NaN NaN 3.789 -1.884 1915 1 NaN NaN NaN NaN NaN NaN 4.816 0.434 1915 2 NaN NaN NaN NaN NaN NaN 6.712 1.200 1915 3 NaN NaN NaN NaN NaN NaN 5.594 -4.246 1915 4 NaN NaN NaN NaN NaN NaN 15.755 0.561 1915 5 NaN NaN NaN NaN NaN NaN 19.831 0.132 1915 6 21.640 -1.719 0 0 21.640 -1.719 22.004 -1.550 1915 7 24.925 -0.626 0 0 24.925 -0.626 25.511 -0.236 1915 8 25.245 0.180 0 0 25.245 0.180 25.174 -0.086 1915 9 21.895 0.092 0 0 21.895 0.092 23.039 1.040 1915 10 13.918 -1.481 0 0 13.918 -1.481 16.630 1.034 1915 11 NaN NaN NaN NaN NaN NaN 11.151 0.643 1915 12 3.487 -1.991 0 0 3.487 -1.991 3.795 -1.878 1916 1 7.479 3.293 0 0 7.479 3.293 7.925 3.544 1916 2 4.634 -0.683 0 0 4.634 -0.683 4.987 -0.525 1916 3 8.517 -1.127 0 0 8.517 -1.127 8.354 -1.486 1916 4 15.108 0.110 0 0 15.108 0.110 14.329 -0.864 1916 5 23.218 3.714 0 0 23.218 3.714 21.125 1.426 1916 6 23.273 -0.085 0 0 23.273 -0.085 22.260 -1.294 1916 7 25.097 -0.455 0 0 25.097 -0.455 24.979 -0.768 1916 8 23.944 -1.121 0 0 23.944 -1.121 24.897 -0.363 1916 9 19.820 -1.983 0 0 19.820 -1.983 20.818 -1.181 1916 10 16.026 0.626 0 0 16.026 0.626 16.071 0.476 1916 11 9.509 -0.805 1 0 NaN NaN 10.932 0.424 1916 12 4.493 -0.985 0 0 4.493 -0.985 5.091 -0.582 1917 1 NaN NaN NaN NaN NaN NaN 5.882 1.501 1917 2 5.372 0.055 1 0 NaN NaN 4.523 -0.990 1917 3 9.072 -0.572 0 0 9.072 -0.572 9.025 -0.815 1917 4 13.903 -1.095 0 0 13.903 -1.095 15.249 0.055 1917 5 16.167 -3.337 0 0 16.167 -3.337 16.890 -2.810 1917 6 23.100 -0.259 0 0 23.100 -0.259 23.167 -0.387 1917 7 25.306 -0.245 0 0 25.306 -0.245 25.109 -0.638 1917 8 24.385 -0.679 0 0 24.385 -0.679 24.327 -0.934 1917 9 NaN NaN NaN NaN NaN NaN 19.805 -2.194 1917 10 NaN NaN NaN NaN NaN NaN 13.230 -2.365 1917 11 7.183 -3.130 0 0 7.183 -3.130 8.292 -2.216 1917 12 -0.210 -5.688 0 0 -0.210 -5.688 -0.055 -5.729 1918 1 -1.635 -5.821 0 0 -1.635 -5.821 -1.105 -5.486 1918 2 6.730 1.413 0 0 6.730 1.413 6.639 1.127 1918 3 10.937 1.293 0 0 10.937 1.293 12.087 2.248 1918 4 13.435 -1.563 0 0 13.435 -1.563 13.859 -1.335 1918 5 21.423 1.919 0 0 21.423 1.919 21.568 1.869 1918 6 21.577 -1.782 0 0 21.577 -1.782 22.275 -1.279 1918 7 22.953 -2.599 0 0 22.953 -2.599 23.317 -2.431 1918 8 25.227 0.162 0 0 25.227 0.162 25.765 0.504 1918 9 NaN NaN NaN NaN NaN NaN 19.426 -2.573 1918 10 NaN NaN NaN NaN NaN NaN 17.204 1.608 1918 11 NaN NaN NaN NaN NaN NaN 10.393 -0.116 1918 12 NaN NaN NaN NaN NaN NaN 7.492 1.819 1919 1 NaN NaN NaN NaN NaN NaN 5.535 1.153 1919 2 NaN NaN NaN NaN NaN NaN 4.590 -0.922 1919 3 NaN NaN NaN NaN NaN NaN 11.048 1.209 1919 4 NaN NaN NaN NaN NaN NaN 14.833 -0.361 1919 5 NaN NaN NaN NaN NaN NaN 19.766 0.067 1919 6 NaN NaN NaN NaN NaN NaN 22.495 -1.059 1919 7 NaN NaN NaN NaN NaN NaN 25.219 -0.528 1919 8 NaN NaN NaN NaN NaN NaN 24.462 -0.798