% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33773 % Primary Name: SANDYVILLE % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.91670 +/- 0.00005 % Longitude: -81.66670 +/- 0.00005 % Elevation (m): 180.44 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 467920 % % IDs: coop - 467920 % ghcnd - USC00467920 % ncdc - 12006116 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 87ab8b93ed1b4f80647549abe4a56b7a % Raw Data Hash: b0dcfbd77009e373bcafb64519ec9be7 % Adj Data Hash: a6b0ca0cc48398ba1d5b435d4b17e3db % % 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 1893 5 NaN NaN NaN NaN NaN NaN 15.129 -1.474 1893 6 NaN NaN NaN NaN NaN NaN 21.365 0.493 1893 7 NaN NaN NaN NaN NaN NaN 23.318 0.389 1893 8 NaN NaN NaN NaN NaN NaN 21.362 -1.028 1893 9 NaN NaN NaN NaN NaN NaN 18.769 -0.165 1893 10 NaN NaN NaN NaN NaN NaN 12.127 -0.004 1893 11 NaN NaN NaN NaN NaN NaN 5.211 -1.072 1893 12 NaN NaN NaN NaN NaN NaN 1.851 0.800 1894 1 NaN NaN NaN NaN NaN NaN 1.482 2.719 1894 2 NaN NaN NaN NaN NaN NaN -0.363 -0.512 1894 3 NaN NaN NaN NaN NaN NaN 8.009 2.581 1894 4 NaN NaN NaN NaN NaN NaN 10.608 -0.698 1894 5 16.792 -0.291 0 0 16.792 -0.291 16.147 -0.456 1894 6 21.593 0.241 0 0 21.593 0.241 21.263 0.391 1894 7 23.172 -0.237 0 0 23.172 -0.237 22.933 0.005 1894 8 22.168 -0.703 0 0 22.168 -0.703 21.967 -0.424 1894 9 20.370 0.956 0 0 20.370 0.956 20.454 1.520 1894 10 12.384 -0.228 0 0 12.384 -0.228 11.817 -0.315 1894 11 4.037 -2.725 0 0 4.037 -2.725 4.053 -2.229 1894 12 1.470 -0.062 0 0 1.470 -0.062 1.206 0.154 1895 1 -2.079 -1.322 0 0 -2.079 -1.322 -3.553 -2.316 1895 2 -5.992 -6.621 1 0 NaN NaN -6.763 -6.912 1895 3 3.950 -1.958 0 0 3.950 -1.958 3.439 -1.989 1895 4 11.833 0.048 0 0 11.833 0.048 11.481 0.176 1895 5 16.505 -0.578 0 0 16.505 -0.578 15.965 -0.638 1895 6 22.796 1.444 0 0 22.796 1.444 22.303 1.431 1895 7 22.186 -1.222 0 0 22.186 -1.222 21.224 -1.705 1895 8 22.722 -0.149 0 0 22.722 -0.149 22.821 0.430 1895 9 20.852 1.437 0 0 20.852 1.437 21.216 2.282 1895 10 7.688 -4.923 0 0 7.688 -4.923 8.345 -3.786 1895 11 6.722 -0.040 0 0 6.722 -0.040 6.554 0.272 1895 12 2.981 1.449 0 0 2.981 1.449 1.672 0.621 1896 1 0.385 1.142 0 0 0.385 1.142 -1.188 0.050 1896 2 0.719 0.090 1 0 NaN NaN -0.543 -0.692 1896 3 1.837 -4.071 0 0 1.837 -4.071 1.344 -4.083 1896 4 15.138 3.353 0 0 15.138 3.353 14.495 3.190 1896 5 20.494 3.410 0 0 20.494 3.410 19.918 3.315 1896 6 21.460 0.108 0 0 21.460 0.108 20.550 -0.321 1896 7 23.713 0.304 0 0 23.713 0.304 22.505 -0.423 1896 8 22.471 -0.400 0 0 22.471 -0.400 22.222 -0.169 1896 9 NaN NaN NaN NaN NaN NaN 18.345 -0.589 1896 10 NaN NaN NaN NaN NaN NaN 9.560 -2.571 1896 11 NaN NaN NaN NaN NaN NaN 8.562 2.280 1896 12 NaN NaN NaN NaN NaN NaN 1.060 0.009 1897 1 NaN NaN NaN NaN NaN NaN -3.199 -1.962 1897 2 NaN NaN NaN NaN NaN NaN 1.259 1.110 1897 3 NaN NaN NaN NaN NaN NaN 7.349 1.921 1897 4 NaN NaN NaN NaN NaN NaN 10.649 -0.657 1897 5 NaN NaN NaN NaN NaN NaN 13.815 -2.788 1897 6 NaN NaN NaN NaN NaN NaN 20.068 -0.804 1897 7 NaN NaN NaN NaN NaN NaN 23.602 0.674 1897 8 NaN NaN NaN NaN NaN NaN 21.132 -1.259