% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34691 % Primary Name: GREAT CACAPON % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.63330 +/- 0.00005 % Longitude: -78.63330 +/- 0.00005 % Elevation (m): 152.40 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 463670 % % IDs: coop - 463670 % ghcnd - USC00463670 % ncdc - 12010268 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 576ef762687f693ab74a3cdfe7a619b2 % Raw Data Hash: 28cb152bdca1056d7da0eb819d170eb4 % Adj Data Hash: 4c1dffe8723620ca7a5975db4f902261 % % 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 1943 3 NaN NaN NaN NaN NaN NaN 3.539 -0.482 1943 4 NaN NaN NaN NaN NaN NaN 7.358 -2.608 1943 5 NaN NaN NaN NaN NaN NaN 16.226 0.975 1943 6 NaN NaN NaN NaN NaN NaN 22.704 3.175 1943 7 NaN NaN NaN NaN NaN NaN 21.632 -0.051 1943 8 NaN NaN NaN NaN NaN NaN 21.307 0.232 1943 9 NaN NaN NaN NaN NaN NaN 16.105 -1.407 1943 10 NaN NaN NaN NaN NaN NaN 9.963 -1.024 1943 11 NaN NaN NaN NaN NaN NaN 4.606 -0.774 1943 12 NaN NaN NaN NaN NaN NaN -1.366 -1.332 1944 1 NaN NaN NaN NaN NaN NaN -0.945 1.163 1944 2 NaN NaN NaN NaN NaN NaN 0.133 1.063 1944 3 5.936 -0.131 0 0 5.936 -0.131 2.818 -1.203 1944 4 11.236 -0.776 0 0 11.236 -0.776 8.989 -0.977 1944 5 NaN NaN NaN NaN NaN NaN 18.628 3.377 1944 6 NaN NaN NaN NaN NaN NaN 20.745 1.216 1944 7 26.510 2.781 0 0 26.510 2.781 21.654 -0.029 1944 8 25.034 1.914 0 0 25.034 1.914 21.295 0.221 1944 9 20.947 1.389 0 0 20.947 1.389 17.641 0.129 1944 10 12.352 -0.681 0 0 12.352 -0.681 10.690 -0.297 1944 11 6.083 -1.343 0 0 6.083 -1.343 5.569 0.189 1944 12 -1.371 -3.383 0 0 -1.371 -3.383 -2.742 -2.708 1945 1 -3.294 -3.231 0 0 -3.294 -3.231 -4.467 -2.359 1945 2 1.204 0.088 0 0 1.204 0.088 -0.526 0.404 1945 3 11.718 5.651 0 0 11.718 5.651 10.245 6.224 1945 4 13.248 1.237 0 0 13.248 1.237 12.041 2.075 1945 5 16.008 -1.289 0 0 16.008 -1.289 13.435 -1.816 1945 6 21.705 0.130 0 0 21.705 0.130 19.226 -0.303 1945 7 24.344 0.615 0 0 24.344 0.615 21.339 -0.344 1945 8 23.115 -0.005 0 0 23.115 -0.005 20.474 -0.600 1945 9 19.893 0.336 0 0 19.893 0.336 19.212 1.700 1945 10 12.740 -0.293 0 0 12.740 -0.293 10.555 -0.432 1945 11 8.525 1.099 1 0 NaN NaN 6.454 1.074 1945 12 -2.519 -4.531 0 0 -2.519 -4.531 -3.365 -3.332 1946 1 0.895 0.957 0 0 0.895 0.957 -0.626 1.482 1946 2 2.589 1.474 0 0 2.589 1.474 -0.179 0.751 1946 3 9.864 3.798 0 0 9.864 3.798 8.821 4.800 1946 4 11.357 -0.655 0 0 11.357 -0.655 9.924 -0.042 1946 5 17.369 0.073 0 0 17.369 0.073 14.715 -0.536 1946 6 19.792 -1.783 0 0 19.792 -1.783 18.926 -0.603 1946 7 23.379 -0.350 0 0 23.379 -0.350 20.924 -0.759 1946 8 20.353 -2.767 0 0 20.353 -2.767 18.661 -2.413 1946 9 NaN NaN NaN NaN NaN NaN 17.695 0.183 1946 10 NaN NaN NaN NaN NaN NaN 12.628 1.640 1946 11 NaN NaN NaN NaN NaN NaN 8.015 2.636 1946 12 NaN NaN NaN NaN NaN NaN 1.986 2.020 1947 1 NaN NaN NaN NaN NaN NaN 1.898 4.006 1947 2 NaN NaN NaN NaN NaN NaN -5.148 -4.218 1947 3 NaN NaN NaN NaN NaN NaN 0.100 -3.921 1947 4 NaN NaN NaN NaN NaN NaN 11.717 1.751 1947 5 NaN NaN NaN NaN NaN NaN 14.541 -0.710 1947 6 NaN NaN NaN NaN NaN NaN 18.777 -0.752 1947 7 NaN NaN NaN NaN NaN NaN 20.074 -1.609 1947 8 NaN NaN NaN NaN NaN NaN 23.027 1.953