% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33055 % Primary Name: HOLCOMB % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.30000 +/- 0.00005 % Longitude: -80.43330 +/- 0.00005 % Elevation (m): 622.40 +/- 0.15 % # of Months: 98 % % Alternate Names: Missing Station ID - 464230 % % IDs: coop - 464230 % ghcnd - USC00464230 % ncdc - 12006077 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 13cdc96bafecba3617659088f875b0ce % Raw Data Hash: bb7db721b01b4c4388e74681410065fb % Adj Data Hash: 973ab911756715cceb4787a1b9fa3c94 % % 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 1911 5 NaN NaN NaN NaN NaN NaN 17.791 1.471 1911 6 NaN NaN NaN NaN NaN NaN 20.506 0.450 1911 7 NaN NaN NaN NaN NaN NaN 21.457 -0.700 1911 8 NaN NaN NaN NaN NaN NaN 22.440 0.725 1911 9 NaN NaN NaN NaN NaN NaN 20.649 2.253 1911 10 NaN NaN NaN NaN NaN NaN 13.260 1.371 1911 11 NaN NaN NaN NaN NaN NaN 4.451 -1.787 1911 12 NaN NaN NaN NaN NaN NaN 3.506 2.030 1912 1 NaN NaN NaN NaN NaN NaN -4.719 -4.282 1912 2 NaN NaN NaN NaN NaN NaN -3.024 -3.955 1912 3 NaN NaN NaN NaN NaN NaN 4.411 -1.350 1912 4 NaN NaN NaN NaN NaN NaN 12.695 1.285 1912 5 17.415 1.839 0 0 17.415 1.839 16.513 0.193 1912 6 18.365 -0.947 1 0 NaN NaN 18.772 -1.284 1912 7 21.106 -0.306 0 0 21.106 -0.306 21.789 -0.367 1912 8 19.336 -1.636 0 0 19.336 -1.636 20.280 -1.435 1912 9 19.982 2.331 0 0 19.982 2.331 19.781 1.385 1912 10 12.523 1.379 0 0 12.523 1.379 12.147 0.259 1912 11 4.667 -0.827 0 0 4.667 -0.827 5.236 -1.002 1912 12 1.662 0.930 0 0 1.662 0.930 1.501 0.024 1913 1 4.327 5.508 0 0 4.327 5.508 4.154 4.592 1913 2 NaN NaN NaN NaN NaN NaN 0.305 -0.627 1913 3 6.042 1.026 0 0 6.042 1.026 7.264 1.503 1913 4 9.348 -1.317 0 0 9.348 -1.317 10.936 -0.473 1913 5 14.474 -1.102 1 0 NaN NaN 15.974 -0.346 1913 6 19.102 -0.210 0 0 19.102 -0.210 19.903 -0.153 1913 7 21.665 0.252 0 0 21.665 0.252 22.880 0.724 1913 8 20.843 -0.128 0 0 20.843 -0.128 21.871 0.155 1913 9 16.033 -1.619 0 0 16.033 -1.619 17.481 -0.915 1913 10 10.933 -0.211 0 0 10.933 -0.211 11.734 -0.154 1913 11 4.958 -0.536 0 0 4.958 -0.536 7.220 0.982 1913 12 1.873 1.140 0 0 1.873 1.140 2.366 0.890 1914 1 0.618 1.799 0 0 0.618 1.799 1.373 1.811 1914 2 -1.404 -1.592 1 0 NaN NaN -1.689 -2.621 1914 3 1.092 -3.925 0 0 1.092 -3.925 2.878 -2.884 1914 4 10.260 -0.405 0 0 10.260 -0.405 11.390 -0.019 1914 5 15.755 0.179 0 0 15.755 0.179 16.139 -0.181 1914 6 21.287 1.975 0 0 21.287 1.975 22.038 1.982 1914 7 21.300 -0.112 0 0 21.300 -0.112 21.976 -0.181 1914 8 20.760 -0.211 0 0 20.760 -0.211 21.631 -0.085 1914 9 16.233 -1.418 0 0 16.233 -1.418 17.225 -1.171 1914 10 13.026 1.882 0 0 13.026 1.882 13.051 1.163 1914 11 3.830 -1.664 0 0 3.830 -1.664 5.552 -0.686 1914 12 -1.308 -2.040 0 0 -1.308 -2.040 -1.076 -2.552 1915 1 -0.998 0.183 0 0 -0.998 0.183 -0.878 -0.440 1915 2 2.068 1.880 0 0 2.068 1.880 2.541 1.609 1915 3 -0.376 -5.393 0 0 -0.376 -5.393 1.124 -4.637 1915 4 11.738 1.073 0 0 11.738 1.073 12.353 0.944 1915 5 15.826 0.250 0 0 15.826 0.250 16.318 -0.002 1915 6 19.538 0.226 0 0 19.538 0.226 19.100 -0.956 1915 7 20.687 -0.725 0 0 20.687 -0.725 21.330 -0.827 1915 8 19.927 -1.044 0 0 19.927 -1.044 20.362 -1.353 1915 9 18.990 1.339 0 0 18.990 1.339 19.513 1.117 1915 10 13.034 1.890 0 0 13.034 1.890 13.179 1.291 1915 11 6.249 0.755 0 0 6.249 0.755 7.522 1.284 1915 12 -0.110 -0.842 0 0 -0.110 -0.842 0.429 -1.048 1916 1 2.827 4.009 0 0 2.827 4.009 3.534 3.971 1916 2 -1.541 -1.729 0 0 -1.541 -1.729 -0.151 -1.082 1916 3 1.925 -3.092 0 0 1.925 -3.092 4.475 -1.286 1916 4 9.124 -1.541 0 0 9.124 -1.541 10.254 -1.156 1916 5 16.532 0.957 0 0 16.532 0.957 17.445 1.125 1916 6 17.313 -1.999 0 0 17.313 -1.999 18.382 -1.674 1916 7 22.942 1.530 1 0 NaN NaN 22.693 0.537 1916 8 21.235 0.264 0 0 21.235 0.264 22.040 0.324 1916 9 NaN NaN NaN NaN NaN NaN 17.061 -1.335 1916 10 11.423 0.279 0 0 11.423 0.279 11.757 -0.131 1916 11 5.702 0.208 0 0 5.702 0.208 6.599 0.361 1916 12 -0.129 -0.861 0 0 -0.129 -0.861 0.522 -0.954 1917 1 0.487 1.669 0 0 0.487 1.669 1.080 1.517 1917 2 -2.266 -2.453 0 0 -2.266 -2.453 -0.936 -1.867 1917 3 4.942 -0.075 0 0 4.942 -0.075 5.837 0.076 1917 4 9.871 -0.794 0 0 9.871 -0.794 11.453 0.044 1917 5 11.794 -3.782 0 0 11.794 -3.782 12.784 -3.536 1917 6 18.390 -0.922 0 0 18.390 -0.922 18.849 -1.207 1917 7 20.955 -0.457 0 0 20.955 -0.457 21.468 -0.689 1917 8 20.563 -0.408 0 0 20.563 -0.408 21.016 -0.700 1917 9 16.113 -1.538 0 0 16.113 -1.538 17.264 -1.131 1917 10 8.844 -2.300 0 0 8.844 -2.300 8.950 -2.938 1917 11 3.977 -1.517 0 0 3.977 -1.517 4.698 -1.540 1917 12 -4.711 -5.444 0 0 -4.711 -5.444 -4.432 -5.909 1918 1 -6.915 -5.734 0 0 -6.915 -5.734 -6.442 -6.005 1918 2 0.619 0.432 1 0 NaN NaN 1.976 1.044 1918 3 6.252 1.235 1 0 NaN NaN 8.573 2.812 1918 4 9.668 -0.997 0 0 9.668 -0.997 10.242 -1.167 1918 5 17.548 1.973 0 0 17.548 1.973 18.093 1.773 1918 6 18.345 -0.967 0 0 18.345 -0.967 19.475 -0.581 1918 7 18.702 -2.711 0 0 18.702 -2.711 20.032 -2.124 1918 8 22.121 1.150 0 0 22.121 1.150 23.087 1.371 1918 9 14.225 -3.426 0 0 14.225 -3.426 15.493 -2.902 1918 10 13.534 2.390 0 0 13.534 2.390 13.776 1.888 1918 11 5.497 0.003 0 0 5.497 0.003 6.047 -0.191 1918 12 4.327 3.595 0 0 4.327 3.595 4.452 2.976 1919 1 0.029 1.211 0 0 0.029 1.211 0.311 0.748 1919 2 0.079 -0.109 0 0 0.079 -0.109 0.640 -0.292 1919 3 6.266 1.249 0 0 6.266 1.249 6.882 1.121 1919 4 9.295 -1.370 0 0 9.295 -1.370 11.221 -0.188 1919 5 14.738 -0.838 0 0 14.738 -0.838 15.911 -0.409 1919 6 20.870 1.558 0 0 20.870 1.558 21.324 1.268 1919 7 NaN NaN NaN NaN NaN NaN 22.656 0.500 1919 8 NaN NaN NaN NaN NaN NaN 20.559 -1.157 1919 9 16.693 -0.958 0 0 16.693 -0.958 18.260 -0.136 1919 10 NaN NaN NaN NaN NaN NaN 16.559 4.671 1919 11 6.502 1.008 0 0 6.502 1.008 7.310 1.072 1919 12 -0.206 -0.939 0 0 -0.206 -0.939 0.088 -1.389 1920 1 -1.127 0.054 0 0 -1.127 0.054 -1.063 -0.626 1920 2 -0.858 -1.045 1 0 NaN NaN -1.283 -2.215 1920 3 5.011 -0.006 0 0 5.011 -0.006 5.351 -0.410 1920 4 9.100 -1.565 0 0 9.100 -1.565 9.999 -1.410 1920 5 13.889 -1.687 0 0 13.889 -1.687 14.168 -2.151 1920 6 17.750 -1.562 0 0 17.750 -1.562 18.874 -1.182 1920 7 19.482 -1.930 0 0 19.482 -1.930 20.450 -1.706 1920 8 20.248 -0.723 0 0 20.248 -0.723 20.706 -1.010 1920 9 18.038 0.387 0 0 18.038 0.387 18.894 0.498 1920 10 12.458 1.314 0 0 12.458 1.314 12.682 0.793 1920 11 3.955 -1.539 0 0 3.955 -1.539 5.182 -1.056 1920 12 NaN NaN NaN NaN NaN NaN 1.423 -0.054 1921 1 NaN NaN NaN NaN NaN NaN 0.683 1.121 1921 2 NaN NaN NaN NaN NaN NaN 2.133 1.201 1921 3 NaN NaN NaN NaN NaN NaN 11.397 5.636 1921 4 NaN NaN NaN NaN NaN NaN 12.467 1.057 1921 5 NaN NaN NaN NaN NaN NaN 15.325 -0.995 1921 6 NaN NaN NaN NaN NaN NaN 21.366 1.310 1921 7 NaN NaN NaN NaN NaN NaN 22.820 0.663 1921 8 NaN NaN NaN NaN NaN NaN 20.606 -1.109 1921 9 NaN NaN NaN NaN NaN NaN 21.415 3.020 1921 10 NaN NaN NaN NaN NaN NaN 11.246 -0.642 1921 11 NaN NaN NaN NaN NaN NaN 8.236 1.998