% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32437 % Primary Name: MAIDENS % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.66920 +/- 0.00005 % Longitude: -77.88190 +/- 0.00005 % Elevation (m): 32.00 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 445190 % % IDs: coop - 445190 % ghcnd - USC00445190 % ncdc - 12005757 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 12a61bed771cf8767d89a40ebfcb93ad % Raw Data Hash: 533ae79bb593d37203020e49cc11c96b % Adj Data Hash: 09c7d47a1bc5180f6d3ca52f8ffe6ee4 % % 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 1895 1 NaN NaN NaN NaN NaN NaN 0.607 -1.414 1895 2 NaN NaN NaN NaN NaN NaN -2.982 -6.311 1895 3 NaN NaN NaN NaN NaN NaN 6.816 -1.295 1895 4 NaN NaN NaN NaN NaN NaN 13.308 -0.493 1895 5 NaN NaN NaN NaN NaN NaN 17.107 -1.590 1895 6 NaN NaN NaN NaN NaN NaN 23.825 0.897 1895 7 NaN NaN NaN NaN NaN NaN 23.355 -1.917 1895 8 NaN NaN NaN NaN NaN NaN 25.279 0.616 1895 9 NaN NaN NaN NaN NaN NaN 23.286 2.260 1895 10 NaN NaN NaN NaN NaN NaN 11.369 -3.029 1895 11 NaN NaN NaN NaN NaN NaN 9.247 0.292 1895 12 NaN NaN NaN NaN NaN NaN 3.785 0.052 1896 1 5.907 1.780 0 0 5.907 1.780 1.218 -0.803 1896 2 6.762 1.327 0 0 6.762 1.327 3.019 -0.310 1896 3 9.301 -0.917 0 0 9.301 -0.917 5.702 -2.409 1896 4 18.238 2.329 0 0 18.238 2.329 15.217 1.415 1896 5 24.194 3.391 0 0 24.194 3.391 21.223 2.527 1896 6 24.444 -0.590 0 0 24.444 -0.590 22.406 -0.521 1896 7 27.115 -0.264 1 0 NaN NaN 25.479 0.208 1896 8 28.130 1.360 0 0 28.130 1.360 25.004 0.341 1896 9 22.778 -0.355 0 0 22.778 -0.355 20.604 -0.422 1896 10 15.269 -1.236 0 0 15.269 -1.236 12.510 -1.888 1896 11 11.630 0.567 0 0 11.630 0.567 11.441 2.485 1896 12 3.082 -2.757 0 0 3.082 -2.757 2.377 -1.356 1897 1 0.218 -3.910 0 0 0.218 -3.910 0.165 -1.856 1897 2 4.683 -0.753 0 0 4.683 -0.753 3.464 0.135 1897 3 10.932 0.714 0 0 10.932 0.714 9.298 1.187 1897 4 NaN NaN NaN NaN NaN NaN 13.365 -0.437 1897 5 22.656 1.854 1 0 NaN NaN 17.396 -1.300 1897 6 26.746 1.711 0 0 26.746 1.711 22.154 -0.774 1897 7 29.253 1.875 0 0 29.253 1.875 25.312 0.040 1897 8 26.870 0.101 0 0 26.870 0.101 24.216 -0.447 1897 9 24.000 0.868 0 0 24.000 0.868 21.325 0.299 1897 10 15.893 -0.612 0 0 15.893 -0.612 14.997 0.599 1897 11 9.533 -1.529 0 0 9.533 -1.529 9.362 0.407 1897 12 5.721 -0.118 0 0 5.721 -0.118 4.139 0.406 1898 1 4.561 0.434 0 0 4.561 0.434 3.617 1.597 1898 2 3.212 -2.223 0 0 3.212 -2.223 2.026 -1.303 1898 3 10.684 0.466 0 0 10.684 0.466 10.374 2.263 1898 4 13.498 -2.410 0 0 13.498 -2.410 11.832 -1.970 1898 5 21.031 0.228 0 0 21.031 0.228 18.685 -0.011 1898 6 25.052 0.017 0 0 25.052 0.017 23.073 0.145 1898 7 27.898 0.520 0 0 27.898 0.520 25.772 0.500 1898 8 NaN NaN NaN NaN NaN NaN 25.723 1.060 1898 9 NaN NaN NaN NaN NaN NaN 22.387 1.362 1898 10 NaN NaN NaN NaN NaN NaN 14.943 0.545 1898 11 NaN NaN NaN NaN NaN NaN 7.759 -1.197 1898 12 NaN NaN NaN NaN NaN NaN 2.945 -0.789 1899 1 NaN NaN NaN NaN NaN NaN 1.582 -0.439 1899 2 NaN NaN NaN NaN NaN NaN -1.331 -4.660 1899 3 NaN NaN NaN NaN NaN NaN 7.517 -0.594 1899 4 NaN NaN NaN NaN NaN NaN 13.188 -0.614 1899 5 NaN NaN NaN NaN NaN NaN 18.782 0.086 1899 6 NaN NaN NaN NaN NaN NaN 23.914 0.986 1899 7 NaN NaN NaN NaN NaN NaN 25.240 -0.032