% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34052 % Primary Name: JANE LEW % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.11670 +/- 0.00005 % Longitude: -80.41670 +/- 0.00005 % Elevation (m): 307.80 +/- 0.05 % # of Months: 167 % % Alternate Names: JANE LEW 1 W % % IDs: coop - 464559 % ghcnd - USC00464559 % ncdc - 20021577 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: dd23c975dd8207128e82e3d46eb4045f % Raw Data Hash: 783e795433cf53f86a20cddd666dc59b % Adj Data Hash: 38d820888905a43239dd5deeb4b784b2 % % 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 1922 8 NaN NaN NaN NaN NaN NaN 20.802 -1.589 1922 9 NaN NaN NaN NaN NaN NaN 20.211 1.277 1922 10 NaN NaN NaN NaN NaN NaN 12.847 0.715 1922 11 NaN NaN NaN NaN NaN NaN 6.951 0.669 1922 12 NaN NaN NaN NaN NaN NaN 1.767 0.716 1923 1 NaN NaN NaN NaN NaN NaN 0.976 2.214 1923 2 NaN NaN NaN NaN NaN NaN -2.060 -2.209 1923 3 NaN NaN NaN NaN NaN NaN 5.359 -0.069 1923 4 NaN NaN NaN NaN NaN NaN 10.113 -1.192 1923 5 NaN NaN NaN NaN NaN NaN 15.331 -1.272 1923 6 NaN NaN NaN NaN NaN NaN 21.297 0.425 1923 7 NaN NaN NaN NaN NaN NaN 22.149 -0.780 1923 8 21.743 -1.550 0 0 21.743 -1.550 21.497 -0.894 1923 9 NaN NaN NaN NaN NaN NaN 19.366 0.432 1923 10 11.071 -1.963 0 0 11.071 -1.963 10.718 -1.413 1923 11 7.502 0.317 0 0 7.502 0.317 5.880 -0.402 1923 12 6.916 4.962 0 0 6.916 4.962 5.857 4.805 1924 1 1.237 1.572 0 0 1.237 1.572 -2.383 -1.146 1924 2 0.210 -0.841 0 0 0.210 -0.841 -1.303 -1.452 1924 3 4.874 -1.456 0 0 4.874 -1.456 3.769 -1.659 1924 4 10.972 -1.236 0 0 10.972 -1.236 10.669 -0.637 1924 5 14.132 -3.373 0 0 14.132 -3.373 12.749 -3.854 1924 6 21.650 -0.124 0 0 21.650 -0.124 20.290 -0.582 1924 7 22.641 -1.190 0 0 22.641 -1.190 21.151 -1.777 1924 8 23.331 0.038 0 0 23.331 0.038 22.147 -0.244 1924 9 17.223 -2.614 1 0 NaN NaN 16.531 -2.403 1924 10 13.115 0.081 0 0 13.115 0.081 12.361 0.229 1924 11 6.400 -0.785 0 0 6.400 -0.785 6.301 0.019 1924 12 2.238 0.284 0 0 2.238 0.284 -0.085 -1.136 1925 1 0.900 1.235 0 0 0.900 1.235 -1.244 -0.007 1925 2 5.807 4.756 0 0 5.807 4.756 3.065 2.916 1925 3 7.467 1.137 0 0 7.467 1.137 6.597 1.169 1925 4 13.800 1.592 0 0 13.800 1.592 13.041 1.736 1925 5 14.379 -3.127 0 0 14.379 -3.127 13.568 -3.035 1925 6 22.252 0.478 0 0 22.252 0.478 22.381 1.509 1925 7 22.561 -1.270 0 0 22.561 -1.270 22.034 -0.894 1925 8 22.045 -1.248 0 0 22.045 -1.248 21.802 -0.588 1925 9 21.873 2.037 0 0 21.873 2.037 22.050 3.116 1925 10 10.969 -2.064 0 0 10.969 -2.064 9.014 -3.117 1925 11 5.283 -1.901 0 0 5.283 -1.901 5.107 -1.175 1925 12 0.713 -1.241 0 0 0.713 -1.241 -0.299 -1.350 1926 1 0.037 0.372 0 0 0.037 0.372 -2.544 -1.307 1926 2 2.643 1.592 0 0 2.643 1.592 0.524 0.375 1926 3 3.560 -2.770 0 0 3.560 -2.770 2.280 -3.148 1926 4 9.228 -2.980 0 0 9.228 -2.980 8.187 -3.118 1926 5 16.334 -1.172 0 0 16.334 -1.172 16.025 -0.578 1926 6 19.225 -2.549 0 0 19.225 -2.549 18.808 -2.063 1926 7 22.689 -1.142 0 0 22.689 -1.142 22.516 -0.413 1926 8 23.626 0.333 0 0 23.626 0.333 23.252 0.861 1926 9 20.903 1.067 0 0 20.903 1.067 20.521 1.587 1926 10 13.269 0.236 0 0 13.269 0.236 12.326 0.194 1926 11 5.922 -1.263 0 0 5.922 -1.263 5.521 -0.761 1926 12 1.469 -0.484 0 0 1.469 -0.484 0.440 -0.611 1927 1 0.994 1.328 0 0 0.994 1.328 -0.956 0.281 1927 2 5.596 4.545 0 0 5.596 4.545 3.385 3.236 1927 3 7.981 1.651 0 0 7.981 1.651 7.263 1.836 1927 4 11.925 -0.283 0 0 11.925 -0.283 11.134 -0.172 1927 5 17.208 -0.298 0 0 17.208 -0.298 16.217 -0.386 1927 6 19.453 -2.321 0 0 19.453 -2.321 18.248 -2.624 1927 7 22.952 -0.879 0 0 22.952 -0.879 22.184 -0.744 1927 8 19.969 -3.324 0 0 19.969 -3.324 19.176 -3.214 1927 9 19.213 -0.623 0 0 19.213 -0.623 19.947 1.013 1927 10 14.329 1.295 0 0 14.329 1.295 13.763 1.632 1927 11 9.608 2.424 0 0 9.608 2.424 9.108 2.825 1927 12 1.745 -0.208 0 0 1.745 -0.208 0.818 -0.234 1928 1 0.692 1.027 0 0 0.692 1.027 -1.074 0.163 1928 2 2.595 1.544 0 0 2.595 1.544 0.307 0.158 1928 3 5.977 -0.353 0 0 5.977 -0.353 4.807 -0.620 1928 4 10.047 -2.161 0 0 10.047 -2.161 9.094 -2.211 1928 5 15.044 -2.462 0 0 15.044 -2.462 14.675 -1.928 1928 6 19.742 -2.032 0 0 19.742 -2.032 18.836 -2.035 1928 7 23.281 -0.550 0 0 23.281 -0.550 22.830 -0.099 1928 8 23.984 0.691 0 0 23.984 0.691 23.197 0.806 1928 9 16.780 -3.057 0 0 16.780 -3.057 16.422 -2.512 1928 10 14.724 1.690 0 0 14.724 1.690 13.672 1.541 1928 11 6.985 -0.200 0 0 6.985 -0.200 6.796 0.514 1928 12 2.271 0.317 0 0 2.271 0.317 1.535 0.484 1929 1 0.576 0.911 0 0 0.576 0.911 -1.711 -0.473 1929 2 -0.571 -1.623 0 0 -0.571 -1.623 -2.760 -2.908 1929 3 9.250 2.920 0 0 9.250 2.920 8.128 2.700 1929 4 14.393 2.185 0 0 14.393 2.185 13.045 1.739 1929 5 16.847 -0.659 0 0 16.847 -0.659 15.506 -1.097 1929 6 20.313 -1.461 0 0 20.313 -1.461 19.825 -1.047 1929 7 23.005 -0.826 0 0 23.005 -0.826 22.283 -0.646 1929 8 20.631 -2.662 0 0 20.631 -2.662 19.999 -2.392 1929 9 19.498 -0.338 0 0 19.498 -0.338 19.393 0.459 1929 10 12.232 -0.801 0 0 12.232 -0.801 11.196 -0.935 1929 11 6.750 -0.435 0 0 6.750 -0.435 5.899 -0.383 1929 12 3.961 2.008 0 0 3.961 2.008 1.961 0.910 1930 1 2.390 2.725 0 0 2.390 2.725 -0.139 1.098 1930 2 5.137 4.086 0 0 5.137 4.086 3.497 3.348 1930 3 5.344 -0.986 0 0 5.344 -0.986 4.688 -0.740 1930 4 12.718 0.510 0 0 12.718 0.510 12.240 0.934 1930 5 17.826 0.320 0 0 17.826 0.320 17.148 0.545 1930 6 21.092 -0.682 0 0 21.092 -0.682 20.576 -0.295 1930 7 24.077 0.247 0 0 24.077 0.247 23.747 0.819 1930 8 21.647 -1.646 0 0 21.647 -1.646 21.684 -0.707 1930 9 21.520 1.683 0 0 21.520 1.683 20.819 1.885 1930 10 10.558 -2.476 0 0 10.558 -2.476 10.238 -1.894 1930 11 6.258 -0.927 0 0 6.258 -0.927 6.165 -0.117 1930 12 0.197 -1.757 0 0 0.197 -1.757 -0.423 -1.474 1931 1 2.111 2.446 0 0 2.111 2.446 0.242 1.480 1931 2 2.889 1.838 0 0 2.889 1.838 1.262 1.113 1931 3 4.000 -2.330 0 0 4.000 -2.330 3.184 -2.244 1931 4 10.556 -1.652 0 0 10.556 -1.652 10.505 -0.801 1931 5 16.667 -0.839 0 0 16.667 -0.839 15.555 -1.048 1931 6 21.944 0.171 0 0 21.944 0.171 21.115 0.243 1931 7 25.444 1.614 0 0 25.444 1.614 24.905 1.977 1931 8 22.556 -0.738 0 0 22.556 -0.738 22.159 -0.232 1931 9 21.778 1.941 0 0 21.778 1.941 21.636 2.702 1931 10 14.722 1.689 0 0 14.722 1.689 13.727 1.596 1931 11 11.333 4.149 0 0 11.333 4.149 11.126 4.844 1931 12 6.222 4.269 0 0 6.222 4.269 5.210 4.159 1932 1 7.611 7.946 0 0 7.611 7.946 5.333 6.571 1932 2 6.167 5.115 0 0 6.167 5.115 4.059 3.910 1932 3 3.333 -2.997 0 0 3.333 -2.997 2.422 -3.006 1932 4 11.111 -1.097 0 0 11.111 -1.097 10.424 -0.882 1932 5 17.333 -0.172 0 0 17.333 -0.172 16.575 -0.028 1932 6 21.556 -0.218 0 0 21.556 -0.218 21.465 0.594 1932 7 23.389 -0.442 0 0 23.389 -0.442 22.711 -0.218 1932 8 22.389 -0.904 0 0 22.389 -0.904 22.218 -0.173 1932 9 19.167 -0.670 0 0 19.167 -0.670 19.780 0.846 1932 10 13.278 0.244 0 0 13.278 0.244 12.628 0.497 1932 11 5.222 -1.962 0 0 5.222 -1.962 5.269 -1.013 1932 12 2.833 0.880 0 0 2.833 0.880 1.410 0.358 1933 1 4.778 5.113 0 0 4.778 5.113 3.399 4.636 1933 2 2.556 1.504 0 0 2.556 1.504 0.144 -0.005 1933 3 5.333 -0.997 0 0 5.333 -0.997 4.709 -0.719 1933 4 12.167 -0.041 0 0 12.167 -0.041 11.693 0.388 1933 5 18.944 1.439 0 0 18.944 1.439 18.018 1.415 1933 6 22.722 0.948 0 0 22.722 0.948 22.368 1.496 1933 7 23.111 -0.720 0 0 23.111 -0.720 22.790 -0.139 1933 8 22.444 -0.849 0 0 22.444 -0.849 22.054 -0.337 1933 9 21.889 2.052 0 0 21.889 2.052 21.497 2.563 1933 10 12.333 -0.700 0 0 12.333 -0.700 11.620 -0.511 1933 11 5.722 -1.462 0 0 5.722 -1.462 5.253 -1.030 1933 12 4.000 2.046 0 0 4.000 2.046 2.876 1.824 1934 1 3.667 4.002 0 0 3.667 4.002 1.607 2.844 1934 2 -4.222 -5.274 0 0 -4.222 -5.274 -6.019 -6.168 1934 3 4.111 -2.219 0 0 4.111 -2.219 3.289 -2.139 1934 4 11.889 -0.319 0 0 11.889 -0.319 11.284 -0.021 1934 5 17.222 -0.283 0 0 17.222 -0.283 17.257 0.654 1934 6 23.667 1.893 0 0 23.667 1.893 23.704 2.833 1934 7 25.389 1.558 0 0 25.389 1.558 25.160 2.231 1934 8 22.333 -0.960 0 0 22.333 -0.960 21.933 -0.458 1934 9 20.222 0.386 0 0 20.222 0.386 20.244 1.310 1934 10 12.389 -0.645 0 0 12.389 -0.645 11.998 -0.133 1934 11 8.111 0.927 0 0 8.111 0.927 8.224 1.942 1934 12 1.444 -0.509 0 0 1.444 -0.509 0.180 -0.872 1935 1 1.556 1.890 0 0 1.556 1.890 -0.383 0.854 1935 2 2.278 1.226 0 0 2.278 1.226 0.336 0.187 1935 3 10.167 3.837 0 0 10.167 3.837 9.303 3.875 1935 4 10.056 -2.152 0 0 10.056 -2.152 9.743 -1.563 1935 5 15.556 -1.950 0 0 15.556 -1.950 14.335 -2.268 1935 6 20.722 -1.052 0 0 20.722 -1.052 19.913 -0.958 1935 7 24.556 0.725 0 0 24.556 0.725 24.184 1.256 1935 8 23.111 -0.182 0 0 23.111 -0.182 22.741 0.350 1935 9 18.833 -1.003 0 0 18.833 -1.003 18.354 -0.580 1935 10 12.556 -0.478 0 0 12.556 -0.478 12.115 -0.016 1935 11 8.111 0.927 0 0 8.111 0.927 7.555 1.273 1935 12 -2.278 -4.231 0 0 -2.278 -4.231 -3.135 -4.187 1936 1 -2.556 -2.221 0 0 -2.556 -2.221 -4.607 -3.370 1936 2 -1.333 -2.385 0 0 -1.333 -2.385 -3.802 -3.951 1936 3 8.111 1.781 0 0 8.111 1.781 7.212 1.784 1936 4 10.111 -2.097 0 0 10.111 -2.097 9.052 -2.254 1936 5 18.111 0.605 0 0 18.111 0.605 17.573 0.970 1936 6 21.778 0.004 0 0 21.778 0.004 21.433 0.562 1936 7 23.778 -0.053 0 0 23.778 -0.053 23.867 0.939 1936 8 24.333 1.040 0 0 24.333 1.040 24.032 1.641 1936 9 21.222 1.386 0 0 21.222 1.386 21.158 2.224 1936 10 13.889 0.855 0 0 13.889 0.855 12.841 0.709 1936 11 5.778 -1.407 0 0 5.778 -1.407 4.695 -1.588 1936 12 3.889 1.935 0 0 3.889 1.935 2.597 1.546 1937 1 7.333 7.668 0 0 7.333 7.668 4.508 5.745 1937 2 2.278 1.226 0 0 2.278 1.226 0.266 0.117 1937 3 4.167 -2.163 0 0 4.167 -2.163 3.203 -2.225 1937 4 11.111 -1.097 0 0 11.111 -1.097 10.789 -0.517 1937 5 16.444 -1.061 0 0 16.444 -1.061 15.887 -0.717 1937 6 22.000 0.226 0 0 22.000 0.226 21.392 0.521 1937 7 23.203 -0.628 1 0 NaN NaN 22.361 -0.567 1937 8 NaN NaN NaN NaN NaN NaN 23.641 1.250 1937 9 NaN NaN NaN NaN NaN NaN 17.670 -1.264 1937 10 NaN NaN NaN NaN NaN NaN 10.748 -1.383 1937 11 NaN NaN NaN NaN NaN NaN 4.766 -1.516 1937 12 NaN NaN NaN NaN NaN NaN -0.723 -1.774 1938 1 NaN NaN NaN NaN NaN NaN -0.429 0.808 1938 2 NaN NaN NaN NaN NaN NaN 3.789 3.640 1938 3 NaN NaN NaN NaN NaN NaN 9.016 3.588 1938 4 NaN NaN NaN NaN NaN NaN 12.793 1.487 1938 5 NaN NaN NaN NaN NaN NaN 16.019 -0.584 1938 6 NaN NaN NaN NaN NaN NaN 19.804 -1.068 1938 7 NaN NaN NaN NaN NaN NaN 23.037 0.108