% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32763 % Primary Name: AVON % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.99970 +/- 0.00005 % Longitude: -78.82640 +/- 0.00005 % Elevation (m): 244.14 +/- 0.15 % # of Months: 37 % % Alternate Names: Missing Station ID - 440370 % % IDs: coop - 440370 % ghcnd - USC00440370 % ncdc - 12005713 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 365297d6a03d4d8df66e3ab3e966cf1f % Raw Data Hash: d8794bbd61f130d7468df687e0358b59 % Adj Data Hash: 5bfe8aa962ded11cf9bda6a46220a5ec % % 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 1892 1 NaN NaN NaN NaN NaN NaN -0.704 -1.389 1892 2 NaN NaN NaN NaN NaN NaN 2.593 0.577 1892 3 NaN NaN NaN NaN NaN NaN 4.048 -2.709 1892 4 NaN NaN NaN NaN NaN NaN 10.951 -1.429 1892 5 NaN NaN NaN NaN NaN NaN 16.918 -0.264 1892 6 NaN NaN NaN NaN NaN NaN 22.623 1.592 1892 7 NaN NaN NaN NaN NaN NaN 22.901 -0.340 1892 8 NaN NaN NaN NaN NaN NaN 23.175 0.458 1892 9 NaN NaN NaN NaN NaN NaN 17.926 -1.218 1892 10 NaN NaN NaN NaN NaN NaN 11.377 -1.346 1892 11 NaN NaN NaN NaN NaN NaN 5.384 -1.852 1892 12 NaN NaN NaN NaN NaN NaN 0.674 -1.575 1893 1 -3.118 -5.244 0 0 -3.118 -5.244 -4.876 -5.561 1893 2 4.008 0.551 0 0 4.008 0.551 2.090 0.074 1893 3 7.168 -1.030 0 0 7.168 -1.030 6.038 -0.719 1893 4 13.259 -0.562 0 0 13.259 -0.562 12.871 0.491 1893 5 17.706 -0.917 0 0 17.706 -0.917 16.205 -0.977 1893 6 22.093 -0.379 0 0 22.093 -0.379 21.080 0.049 1893 7 NaN NaN NaN NaN NaN NaN 23.928 0.688 1893 8 NaN NaN NaN NaN NaN NaN 21.984 -0.734 1893 9 19.315 -1.270 0 0 19.315 -1.270 18.554 -0.589 1893 10 13.620 -0.544 0 0 13.620 -0.544 12.186 -0.536 1893 11 7.759 -0.917 0 0 7.759 -0.917 6.128 -1.107 1893 12 5.525 1.834 0 0 5.525 1.834 3.228 0.978 1894 1 4.870 2.744 0 0 4.870 2.744 2.865 2.180 1894 2 3.393 -0.064 0 0 3.393 -0.064 1.824 -0.192 1894 3 9.677 1.479 0 0 9.677 1.479 9.102 2.345 1894 4 12.958 -0.863 0 0 12.958 -0.863 11.611 -0.769 1894 5 18.835 0.212 0 0 18.835 0.212 17.668 0.486 1894 6 23.093 0.621 0 0 23.093 0.621 21.352 0.321 1894 7 25.000 0.318 0 0 25.000 0.318 23.213 -0.028 1894 8 22.814 -1.345 0 0 22.814 -1.345 21.889 -0.828 1894 9 21.407 0.822 0 0 21.407 0.822 20.219 1.076 1894 10 14.462 0.299 0 0 14.462 0.299 12.674 -0.049 1894 11 6.647 -2.030 0 0 6.647 -2.030 5.742 -1.493 1894 12 4.140 0.449 0 0 4.140 0.449 2.636 0.386 1895 1 0.072 -2.054 0 0 0.072 -2.054 -1.504 -2.188 1895 2 -1.508 -4.965 0 0 -1.508 -4.965 -4.723 -6.739 1895 3 7.222 -0.976 0 0 7.222 -0.976 5.878 -0.879 1895 4 12.852 -0.970 0 0 12.852 -0.970 11.849 -0.531 1895 5 17.025 -1.598 0 0 17.025 -1.598 15.909 -1.273 1895 6 23.333 0.861 0 0 23.333 0.861 21.901 0.870 1895 7 23.423 -1.259 0 0 23.423 -1.259 21.535 -1.706 1895 8 NaN NaN NaN NaN NaN NaN 23.001 0.284 1895 9 23.041 2.456 1 0 NaN NaN 21.747 2.603 1895 10 11.756 -2.408 0 0 11.756 -2.408 9.734 -2.988 1895 11 9.241 0.564 0 0 9.241 0.564 7.741 0.506 1895 12 2.444 -1.246 0 0 2.444 -1.246 2.142 -0.108 1896 1 1.741 -0.385 0 0 1.741 -0.385 0.259 -0.426 1896 2 3.199 -0.258 0 0 3.199 -0.258 1.628 -0.388 1896 3 5.896 -2.303 0 0 5.896 -2.303 4.348 -2.409 1896 4 16.111 2.289 0 0 16.111 2.289 14.553 2.173 1896 5 NaN NaN NaN NaN NaN NaN 20.148 2.966 1896 6 NaN NaN NaN NaN NaN NaN 20.547 -0.484 1896 7 NaN NaN NaN NaN NaN NaN 23.178 -0.062 1896 8 NaN NaN NaN NaN NaN NaN 22.832 0.115 1896 9 NaN NaN NaN NaN NaN NaN 19.071 -0.073 1896 10 NaN NaN NaN NaN NaN NaN 11.248 -1.474 1896 11 NaN NaN NaN NaN NaN NaN 10.120 2.885 1896 12 NaN NaN NaN NaN NaN NaN 1.627 -0.623 1897 1 NaN NaN NaN NaN NaN NaN -1.130 -1.815 1897 2 NaN NaN NaN NaN NaN NaN 2.296 0.281 1897 3 NaN NaN NaN NaN NaN NaN 8.301 1.544 1897 4 NaN NaN NaN NaN NaN NaN 11.859 -0.522