% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32833 % Primary Name: LEONARD % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.06670 +/- 0.00005 % Longitude: -80.40000 +/- 0.00005 % Elevation (m): 1292.96 +/- 0.15 % # of Months: 71 % % Alternate Names: Missing Station ID - 465045 % % IDs: coop - 465045 % ghcnd - USC00465045 % ncdc - 12006084 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: bb29cfc9e1aec9518aa4661bdfae8a99 % Raw Data Hash: f29de6f3cb0bef7220ad290d77a0a515 % Adj Data Hash: 2950b41c6d82ea1f0e71885a391fdf0e % % 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 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 NaN NaN NaN NaN NaN NaN -0.150 0.287 1901 2 NaN NaN NaN NaN NaN NaN -3.189 -4.121 1901 3 NaN NaN NaN NaN NaN NaN 5.610 -0.151 1901 4 NaN NaN NaN NaN NaN NaN 7.984 -3.425 1901 5 NaN NaN NaN NaN NaN NaN 15.524 -0.796 1901 6 NaN NaN NaN NaN NaN NaN 20.515 0.459 1901 7 NaN NaN NaN NaN NaN NaN 23.795 1.638 1901 8 NaN NaN NaN NaN NaN NaN 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 -0.386 -5.609 1 0 NaN NaN 2.751 -3.488 1901 12 -0.399 -0.860 0 0 -0.399 -0.860 -0.474 -1.951 1902 1 -2.057 -0.604 0 0 -2.057 -0.604 -1.762 -1.325 1902 2 -4.221 -4.137 0 0 -4.221 -4.137 -3.678 -4.610 1902 3 4.941 0.195 0 0 4.941 0.195 5.924 0.163 1902 4 6.775 -3.619 1 0 NaN NaN 9.609 -1.800 1902 5 17.482 2.178 0 0 17.482 2.178 18.035 1.716 1902 6 17.167 -1.873 0 0 17.167 -1.873 19.276 -0.780 1902 7 20.942 -0.199 0 0 20.942 -0.199 22.443 0.286 1902 8 19.582 -1.118 0 0 19.582 -1.118 20.990 -0.725 1902 9 16.563 -0.817 0 0 16.563 -0.817 17.501 -0.895 1902 10 12.757 1.884 1 0 NaN NaN 12.656 0.768 1902 11 NaN NaN NaN NaN NaN NaN 9.942 3.704 1902 12 -1.131 -1.592 0 0 -1.131 -1.592 1.136 -0.340 1903 1 -2.095 -0.642 0 0 -2.095 -0.642 -0.938 -0.500 1903 2 0.962 1.046 0 0 0.962 1.046 1.410 0.479 1903 3 8.902 4.156 0 0 8.902 4.156 10.260 4.499 1903 4 9.477 -0.917 0 0 9.477 -0.917 10.765 -0.644 1903 5 16.753 1.449 0 0 16.753 1.449 17.396 1.076 1903 6 15.780 -3.261 0 0 15.780 -3.261 17.574 -2.482 1903 7 20.936 -0.205 1 0 NaN NaN 21.756 -0.401 1903 8 20.548 -0.152 1 0 NaN NaN 21.687 -0.029 1903 9 16.877 -0.503 0 0 16.877 -0.503 17.779 -0.617 1903 10 11.663 0.791 1 0 NaN NaN 11.358 -0.530 1903 11 1.682 -3.541 0 0 1.682 -3.541 3.651 -2.587 1903 12 -5.065 -5.526 0 0 -5.065 -5.526 -3.135 -4.612 1904 1 -3.782 -2.330 0 0 -3.782 -2.330 -2.592 -2.155 1904 2 -2.632 -2.548 0 0 -2.632 -2.548 -1.583 -2.515 1904 3 3.351 -1.395 0 0 3.351 -1.395 6.245 0.484 1904 4 6.055 -4.339 0 0 6.055 -4.339 8.769 -2.641 1904 5 13.807 -1.497 0 0 13.807 -1.497 15.805 -0.515 1904 6 19.321 0.281 1 0 NaN NaN 19.713 -0.343 1904 7 21.478 0.337 0 0 21.478 0.337 20.777 -1.379 1904 8 22.315 1.615 0 0 22.315 1.615 20.645 -1.071 1904 9 19.488 2.107 1 0 NaN NaN 18.673 0.277 1904 10 12.025 1.153 1 0 NaN NaN 11.212 -0.676 1904 11 3.896 -1.326 0 0 3.896 -1.326 4.899 -1.339 1904 12 -1.430 -1.892 0 0 -1.430 -1.892 0.352 -1.125 1905 1 -4.905 -3.452 0 0 -4.905 -3.452 -3.751 -3.314 1905 2 -5.839 -5.755 0 0 -5.839 -5.755 -4.343 -5.275 1905 3 5.708 0.963 0 0 5.708 0.963 8.312 2.550 1905 4 8.939 -1.454 1 0 NaN NaN 11.373 -0.036 1905 5 18.013 2.709 0 0 18.013 2.709 17.363 1.043 1905 6 22.875 3.834 0 0 22.875 3.834 20.386 0.330 1905 7 21.666 0.525 0 0 21.666 0.525 21.959 -0.197 1905 8 19.407 -1.293 1 0 NaN NaN 20.758 -0.957 1905 9 17.360 -0.020 1 0 NaN NaN 18.671 0.276 1905 10 12.179 1.306 1 0 NaN NaN 11.571 -0.317 1905 11 3.942 -1.281 0 0 3.942 -1.281 5.689 -0.549 1905 12 2.178 1.717 1 0 NaN NaN 1.095 -0.382 1906 1 2.720 4.173 0 0 2.720 4.173 2.171 2.608 1906 2 -4.975 -4.891 1 0 NaN NaN -0.368 -1.300 1906 3 0.858 -3.887 0 0 0.858 -3.887 3.101 -2.660 1906 4 10.755 0.361 0 0 10.755 0.361 12.265 0.856 1906 5 15.446 0.142 0 0 15.446 0.142 15.967 -0.352 1906 6 NaN NaN NaN NaN NaN NaN 20.452 0.396 1906 7 19.327 -1.814 1 0 NaN NaN 21.333 -0.823 1906 8 21.534 0.834 1 0 NaN NaN 23.332 1.617 1906 9 NaN NaN NaN NaN NaN NaN 20.534 2.138 1906 10 10.938 0.065 0 0 10.938 0.065 11.358 -0.530 1906 11 NaN NaN NaN NaN NaN NaN 6.475 0.237 1906 12 0.728 0.267 1 0 NaN NaN 2.038 0.561 1907 1 NaN NaN NaN NaN NaN NaN 4.058 4.495 1907 2 1.531 1.615 1 0 NaN NaN -0.815 -1.747 1907 3 9.441 4.696 1 0 NaN NaN 9.693 3.932 1907 4 NaN NaN NaN NaN NaN NaN 7.208 -4.201 1907 5 13.753 -1.552 1 0 NaN NaN 14.601 -1.719 1907 6 17.312 -1.728 0 0 17.312 -1.728 17.642 -2.414 1907 7 20.210 -0.931 0 0 20.210 -0.931 22.037 -0.120 1907 8 19.617 -1.083 0 0 19.617 -1.083 20.457 -1.258 1907 9 17.206 -0.174 0 0 17.206 -0.174 18.771 0.376 1907 10 8.086 -2.787 0 0 8.086 -2.787 9.553 -2.335 1907 11 4.409 -0.813 1 0 NaN NaN 5.362 -0.877 1907 12 0.583 0.122 0 0 0.583 0.122 1.311 -0.166 1908 1 -2.724 -1.271 0 0 -2.724 -1.271 -1.712 -1.275 1908 2 -3.634 -3.550 0 0 -3.634 -3.550 -1.772 -2.704 1908 3 9.427 4.681 0 0 9.427 4.681 8.992 3.231 1908 4 NaN NaN NaN NaN NaN NaN 12.744 1.335 1908 5 NaN NaN NaN NaN NaN NaN 16.665 0.346 1908 6 NaN NaN NaN NaN NaN NaN 19.570 -0.486 1908 7 NaN NaN NaN NaN NaN NaN 22.210 0.054 1908 8 NaN NaN NaN NaN NaN NaN 20.911 -0.805 1908 9 NaN NaN NaN NaN NaN NaN 17.991 -0.405 1908 10 NaN NaN NaN NaN NaN NaN 11.664 -0.225 1908 11 NaN NaN NaN NaN NaN NaN 6.537 0.299 1908 12 NaN NaN NaN NaN NaN NaN 1.914 0.437 1909 1 NaN NaN NaN NaN NaN NaN 2.269 2.707 1909 2 NaN NaN NaN NaN NaN NaN 3.534 2.602 1909 3 NaN NaN NaN NaN NaN NaN 4.776 -0.985