% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33119 % Primary Name: SOUTH CHARLESTON LOCK 6 % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.36670 +/- 0.00005 % Longitude: -81.70000 +/- 0.00005 % Elevation (m): 182.27 +/- 0.15 % # of Months: 24 % % Alternate Names: Missing Station ID - 468345 % S CHARLESTON LOCK 6 % % IDs: coop - 468345 % ghcnd - USC00468345 % ncdc - 12006122 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 18cd3e399d8b90b41cb755c169ecd783 % Raw Data Hash: 0237940d7d3027583bae93174c0e91af % Adj Data Hash: 64b5615824c22c2fdd2dcb6a156eaed6 % % 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 1933 3 NaN NaN NaN NaN NaN NaN 5.171 -0.590 1933 4 NaN NaN NaN NaN NaN NaN 11.263 -0.146 1933 5 NaN NaN NaN NaN NaN NaN 18.086 1.767 1933 6 NaN NaN NaN NaN NaN NaN 20.927 0.871 1933 7 NaN NaN NaN NaN NaN NaN 21.802 -0.355 1933 8 NaN NaN NaN NaN NaN NaN 21.301 -0.415 1933 9 NaN NaN NaN NaN NaN NaN 21.338 2.942 1933 10 NaN NaN NaN NaN NaN NaN 11.488 -0.401 1933 11 NaN NaN NaN NaN NaN NaN 5.470 -0.768 1933 12 NaN NaN NaN NaN NaN NaN 4.411 2.934 1934 1 NaN NaN NaN NaN NaN NaN 2.030 2.467 1934 2 NaN NaN NaN NaN NaN NaN -4.068 -5.000 1934 3 6.241 -1.692 0 0 6.241 -1.692 4.284 -1.477 1934 4 13.057 -0.524 1 0 NaN NaN 11.621 0.212 1934 5 19.286 0.794 0 0 19.286 0.794 16.984 0.664 1934 6 25.243 3.014 0 0 25.243 3.014 22.213 2.157 1934 7 27.496 3.168 0 0 27.496 3.168 24.423 2.266 1934 8 23.903 0.015 1 0 NaN NaN 21.638 -0.078 1934 9 NaN NaN NaN NaN NaN NaN 19.489 1.093 1934 10 14.054 -0.007 0 0 14.054 -0.007 11.864 -0.024 1934 11 9.727 1.317 0 0 9.727 1.317 7.781 1.543 1934 12 3.174 -0.474 0 0 3.174 -0.474 0.672 -0.805 1935 1 4.021 2.286 0 0 4.021 2.286 0.497 0.934 1935 2 NaN NaN NaN NaN NaN NaN 1.381 0.449 1935 3 10.959 3.026 0 0 10.959 3.026 9.209 3.447 1935 4 NaN NaN NaN NaN NaN NaN 10.137 -1.272 1935 5 15.853 -2.638 0 0 15.853 -2.638 15.036 -1.284 1935 6 21.337 -0.891 0 0 21.337 -0.891 19.312 -0.744 1935 7 25.234 0.905 0 0 25.234 0.905 22.952 0.796 1935 8 24.652 0.764 0 0 24.652 0.764 22.286 0.570 1935 9 19.718 -0.849 0 0 19.718 -0.849 18.441 0.045 1935 10 14.847 0.787 0 0 14.847 0.787 12.380 0.492 1935 11 NaN NaN NaN NaN NaN NaN 7.861 1.623 1935 12 -0.971 -4.619 1 0 NaN NaN -2.976 -4.452 1936 1 0.081 -1.654 1 0 NaN NaN -3.154 -2.717 1936 2 NaN NaN NaN NaN NaN NaN -1.860 -2.792 1936 3 7.754 -0.179 0 0 7.754 -0.179 7.513 1.752 1936 4 11.610 -1.971 1 0 NaN NaN 9.975 -1.434 1936 5 19.776 1.284 0 0 19.776 1.284 17.516 1.196 1936 6 22.902 0.674 0 0 22.902 0.674 20.868 0.812 1936 7 26.645 2.317 0 0 26.645 2.317 23.420 1.263 1936 8 NaN NaN NaN NaN NaN NaN 23.279 1.564 1936 9 NaN NaN NaN NaN NaN NaN 20.288 1.893 1936 10 NaN NaN NaN NaN NaN NaN 13.217 1.329 1936 11 NaN NaN NaN NaN NaN NaN 5.272 -0.966 1936 12 NaN NaN NaN NaN NaN NaN 2.499 1.023 1937 1 NaN NaN NaN NaN NaN NaN 5.723 6.160 1937 2 NaN NaN NaN NaN NaN NaN 0.505 -0.427 1937 3 NaN NaN NaN NaN NaN NaN 3.866 -1.895 1937 4 NaN NaN NaN NaN NaN NaN 10.984 -0.426 1937 5 NaN NaN NaN NaN NaN NaN 15.819 -0.501 1937 6 NaN NaN NaN NaN NaN NaN 20.750 0.693 1937 7 NaN NaN NaN NaN NaN NaN 21.381 -0.776