% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33296 % Primary Name: CAMDEN % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.51670 +/- 0.00005 % Longitude: -80.63330 +/- 0.00005 % Elevation (m): 618.44 +/- 0.15 % # of Months: 25 % % Alternate Names: Missing Station ID - 461358 % % IDs: coop - 461358 % ghcnd - USC00461358 % ncdc - 12006052 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e702fafc9f45dc7a680d4d8589e744b0 % Raw Data Hash: cc239dff766c630df395818e7775cc0c % Adj Data Hash: c65c298a973281062261cdb2026c3a9c % % 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 1900 1 NaN NaN NaN NaN NaN NaN -0.052 0.385 1900 2 NaN NaN NaN NaN NaN NaN -1.721 -2.653 1900 3 NaN NaN NaN NaN NaN NaN 3.906 -1.855 1900 4 NaN NaN NaN NaN NaN NaN 10.999 -0.411 1900 5 NaN NaN NaN NaN NaN NaN 15.962 -0.358 1900 6 NaN NaN NaN NaN NaN NaN 20.796 0.740 1900 7 NaN NaN NaN NaN NaN NaN 22.550 0.393 1900 8 NaN NaN NaN NaN NaN NaN 23.448 1.733 1900 9 NaN NaN NaN NaN NaN NaN 20.891 2.496 1900 10 NaN NaN NaN NaN NaN NaN 14.871 2.983 1900 11 NaN NaN NaN NaN NaN NaN 7.174 0.936 1900 12 NaN NaN NaN NaN NaN NaN 1.464 -0.013 1901 1 -3.056 -3.859 1 0 NaN NaN -0.150 0.287 1901 2 -1.558 -3.731 1 0 NaN NaN -3.189 -4.121 1901 3 6.709 -0.293 0 0 6.709 -0.293 5.610 -0.151 1901 4 9.718 -2.932 0 0 9.718 -2.932 7.984 -3.425 1901 5 17.853 0.292 1 0 NaN NaN 15.524 -0.796 1901 6 NaN NaN NaN NaN NaN NaN 20.515 0.459 1901 7 26.231 2.833 0 0 26.231 2.833 23.795 1.638 1901 8 22.431 -0.525 0 0 22.431 -0.525 21.412 -0.304 1901 9 NaN NaN NaN NaN NaN NaN 17.509 -0.887 1901 10 NaN NaN NaN NaN NaN NaN 11.370 -0.518 1901 11 2.212 -5.266 1 0 NaN NaN 2.751 -3.488 1901 12 NaN NaN NaN NaN NaN NaN -0.474 -1.951 1902 1 NaN NaN NaN NaN NaN NaN -1.762 -1.325 1902 2 -3.050 -5.222 1 0 NaN NaN -3.678 -4.610 1902 3 6.188 -0.814 0 0 6.188 -0.814 5.924 0.163 1902 4 9.297 -3.354 0 0 9.297 -3.354 9.609 -1.800 1902 5 18.650 1.089 0 0 18.650 1.089 18.035 1.716 1902 6 20.377 -0.920 0 0 20.377 -0.920 19.276 -0.780 1902 7 24.147 0.749 0 0 24.147 0.749 22.443 0.286 1902 8 22.279 -0.677 0 0 22.279 -0.677 20.990 -0.725 1902 9 18.203 -1.434 0 0 18.203 -1.434 17.501 -0.895 1902 10 13.719 0.590 0 0 13.719 0.590 12.656 0.768 1902 11 11.540 4.061 1 0 NaN NaN 9.942 3.704 1902 12 1.028 -1.689 0 0 1.028 -1.689 1.136 -0.340 1903 1 0.364 -0.440 0 0 0.364 -0.440 -0.938 -0.500 1903 2 1.510 -0.662 0 0 1.510 -0.662 1.410 0.479 1903 3 11.074 4.072 0 0 11.074 4.072 10.260 4.499 1903 4 10.665 -1.985 0 0 10.665 -1.985 10.765 -0.644 1903 5 NaN NaN NaN NaN NaN NaN 17.396 1.076 1903 6 NaN NaN NaN NaN NaN NaN 17.574 -2.482 1903 7 NaN NaN NaN NaN NaN NaN 21.756 -0.401 1903 8 NaN NaN NaN NaN NaN NaN 21.687 -0.029 1903 9 NaN NaN NaN NaN NaN NaN 17.779 -0.617 1903 10 16.566 3.437 0 0 16.566 3.437 11.358 -0.530 1903 11 7.300 -0.179 0 0 7.300 -0.179 3.651 -2.587 1903 12 NaN NaN NaN NaN NaN NaN -3.135 -4.612 1904 1 NaN NaN NaN NaN NaN NaN -2.592 -2.155 1904 2 NaN NaN NaN NaN NaN NaN -1.583 -2.515 1904 3 NaN NaN NaN NaN NaN NaN 6.245 0.484 1904 4 NaN NaN NaN NaN NaN NaN 8.769 -2.641 1904 5 NaN NaN NaN NaN NaN NaN 15.805 -0.515 1904 6 NaN NaN NaN NaN NaN NaN 19.713 -0.343 1904 7 NaN NaN NaN NaN NaN NaN 20.777 -1.379 1904 8 NaN NaN NaN NaN NaN NaN 20.645 -1.071 1904 9 NaN NaN NaN NaN NaN NaN 18.673 0.277 1904 10 NaN NaN NaN NaN NaN NaN 11.212 -0.676 1904 11 NaN NaN NaN NaN NaN NaN 4.899 -1.339