% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33335 % Primary Name: LESAGE GREENBOTTOM % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.55000 +/- 0.00005 % Longitude: -82.28330 +/- 0.00005 % Elevation (m): 167.60 +/- 0.05 % # of Months: 119 % % IDs: coop - 465055 % ghcnd - USC00465055 % ncdc - 20021470 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: bd2da929aa4f305bb75464cd255e5d60 % Raw Data Hash: 5983c7933813c97e3466297ad18425d5 % Adj Data Hash: 78006b8ce7044738fe7c79aff25deb27 % % 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 1936 9 NaN NaN NaN NaN NaN NaN 20.288 1.893 1936 10 NaN NaN NaN NaN NaN NaN 13.217 1.329 1936 11 NaN NaN NaN NaN NaN NaN 5.272 -0.966 1936 12 NaN NaN NaN NaN NaN NaN 2.499 1.023 1937 1 NaN NaN NaN NaN NaN NaN 5.723 6.160 1937 2 NaN NaN NaN NaN NaN NaN 0.505 -0.427 1937 3 NaN NaN NaN NaN NaN NaN 3.866 -1.895 1937 4 NaN NaN NaN NaN NaN NaN 10.984 -0.426 1937 5 NaN NaN NaN NaN NaN NaN 15.819 -0.501 1937 6 NaN NaN NaN NaN NaN NaN 20.750 0.693 1937 7 NaN NaN NaN NaN NaN NaN 21.381 -0.776 1937 8 NaN NaN NaN NaN NaN NaN 22.598 0.882 1937 9 16.056 -3.801 0 0 16.486 -3.370 17.102 -1.294 1937 10 12.389 -0.960 0 0 12.732 -0.617 9.849 -2.039 1937 11 5.778 -1.921 0 0 6.082 -1.617 4.774 -1.464 1937 12 1.167 -1.771 0 0 1.471 -1.466 0.214 -1.263 1938 1 1.889 0.865 0 0 2.156 1.133 0.282 0.719 1938 2 5.389 2.996 0 0 5.591 3.198 4.366 3.435 1938 3 9.611 2.389 0 0 9.796 2.574 9.318 3.556 1938 4 13.444 0.574 0 0 13.670 0.800 12.706 1.297 1938 5 17.222 -0.558 0 0 17.497 -0.284 15.925 -0.395 1938 6 21.111 -0.406 0 0 21.443 -0.074 19.102 -0.954 1938 7 23.833 0.216 0 0 24.250 0.633 22.103 -0.053 1938 8 23.889 0.713 0 0 24.360 1.184 22.409 0.693 1938 9 20.444 0.588 0 0 20.875 1.018 18.874 0.478 1938 10 13.778 0.429 0 0 14.121 0.772 12.339 0.451 1938 11 7.333 -0.365 0 0 7.638 -0.061 7.509 1.271 1938 12 1.667 -1.271 0 0 1.971 -0.966 1.195 -0.281 1939 1 2.778 1.754 0 0 3.045 2.022 1.747 2.184 1939 2 3.889 1.496 0 0 4.091 1.698 3.597 2.665 1939 3 7.556 0.334 0 0 7.741 0.519 7.477 1.716 1939 4 10.611 -2.259 0 0 10.837 -2.033 10.352 -1.057 1939 5 18.833 1.053 0 0 19.108 1.328 16.814 0.494 1939 6 23.667 2.150 0 0 23.999 2.482 22.072 2.016 1939 7 23.278 -0.340 0 0 23.695 0.077 21.795 -0.362 1939 8 23.556 0.379 0 0 24.027 0.851 21.757 0.042 1939 9 22.000 2.143 0 0 22.430 2.574 20.296 1.900 1939 10 14.500 1.151 0 0 14.843 1.494 13.161 1.273 1939 11 5.778 -1.921 0 0 6.082 -1.617 4.723 -1.515 1939 12 3.167 0.229 0 0 3.471 0.534 2.061 0.584 1940 1 -5.278 -6.301 0 0 -5.010 -6.034 -6.767 -6.330 1940 2 0.889 -1.504 0 0 1.091 -1.302 0.138 -0.793 1940 3 5.111 -2.111 0 0 5.296 -1.926 3.915 -1.846 1940 4 10.222 -2.648 0 0 10.448 -2.422 10.135 -1.274 1940 5 16.444 -1.336 0 0 16.719 -1.061 15.024 -1.296 1940 6 22.278 0.761 0 0 22.610 1.093 20.363 0.307 1940 7 23.444 -0.173 0 0 23.861 0.244 21.629 -0.528 1940 8 23.833 0.657 0 4 23.614 0.438 21.263 -0.453 1940 9 18.778 -1.079 0 0 18.584 -1.273 16.665 -1.731 1940 10 14.333 0.984 0 0 14.194 0.845 12.058 0.170 1940 11 7.000 -0.699 0 0 6.885 -0.814 6.486 0.248 1940 12 5.556 2.618 0 0 5.440 2.503 4.494 3.017 1941 1 1.333 0.310 0 0 1.241 0.218 -0.186 0.251 1941 2 0.333 -2.059 0 0 0.282 -2.111 -2.343 -3.275 1941 3 3.333 -3.889 0 0 3.292 -3.929 1.934 -3.827 1941 4 15.333 2.463 0 0 15.267 2.397 13.480 2.071 1941 5 19.111 1.331 0 0 19.014 1.234 16.653 0.334 1941 6 23.444 1.927 0 0 23.312 1.795 20.695 0.639 1941 7 25.556 1.938 0 0 25.370 1.753 23.121 0.965 1941 8 23.889 0.713 0 0 23.669 0.493 22.001 0.286 1941 9 22.000 2.143 0 0 21.806 1.950 20.195 1.800 1941 10 17.222 3.873 0 0 17.083 3.734 15.145 3.256 1941 11 7.667 -0.032 0 0 7.551 -0.147 6.915 0.677 1941 12 5.278 2.340 0 0 5.162 2.225 4.071 2.594 1942 1 0.000 -1.023 0 0 -0.092 -1.116 -1.166 -0.728 1942 2 0.000 -2.392 0 0 -0.052 -2.444 -1.870 -2.802 1942 3 8.667 1.445 0 0 8.626 1.404 6.880 1.119 1942 4 14.111 1.241 0 0 14.045 1.175 12.832 1.423 1942 5 18.556 0.775 0 0 18.459 0.678 16.917 0.597 1942 6 23.389 1.872 0 0 23.256 1.739 21.285 1.229 1942 7 25.167 1.549 0 0 24.981 1.364 22.748 0.591 1942 8 23.667 0.490 0 0 23.447 0.271 21.517 -0.199 1942 9 19.889 0.032 0 0 19.695 -0.162 18.408 0.012 1942 10 14.556 1.207 0 0 14.416 1.067 12.904 1.016 1942 11 8.222 0.523 0 0 8.107 0.408 7.670 1.432 1942 12 NaN NaN NaN NaN NaN NaN 0.285 -1.192 1943 1 NaN NaN NaN NaN NaN NaN 1.957 2.394 1943 2 3.111 0.719 0 0 3.060 0.667 1.235 0.303 1943 3 5.111 -2.111 0 0 5.070 -2.152 4.695 -1.066 1943 4 NaN NaN NaN NaN NaN NaN 9.470 -1.939 1943 5 18.222 0.442 0 0 18.125 0.345 17.113 0.793 1943 6 NaN NaN NaN NaN NaN NaN 23.028 2.972 1943 7 NaN NaN NaN NaN NaN NaN 22.372 0.215 1943 8 NaN NaN NaN NaN NaN NaN 22.426 0.711 1943 9 17.722 -2.134 0 0 17.528 -2.328 16.945 -1.451 1943 10 13.333 -0.016 0 0 13.194 -0.155 11.269 -0.619 1943 11 6.667 -1.032 0 0 6.551 -1.147 5.577 -0.661 1943 12 2.167 -0.771 0 0 2.051 -0.886 0.397 -1.080 1944 1 NaN NaN NaN NaN NaN NaN 0.553 0.990 1944 2 4.778 2.385 0 0 4.726 2.334 2.735 1.803 1944 3 4.944 -2.277 0 0 4.903 -2.318 5.105 -0.656 1944 4 11.833 -1.037 0 0 11.767 -1.103 10.684 -0.726 1944 5 21.111 3.331 0 0 21.014 3.234 18.913 2.594 1944 6 24.111 2.594 0 0 23.978 2.461 21.410 1.353 1944 7 24.611 0.994 0 0 24.426 0.808 21.732 -0.425 1944 8 24.222 1.046 0 0 24.003 0.827 21.580 -0.136 1944 9 19.944 0.088 0 0 19.751 -0.106 18.586 0.191 1944 10 13.722 0.373 0 0 13.583 0.234 11.717 -0.171 1944 11 6.889 -0.810 0 0 6.774 -0.925 5.887 -0.351 1944 12 -0.333 -3.271 0 0 -0.449 -3.386 -1.379 -2.856 1945 1 -1.389 -2.412 0 0 -1.481 -2.505 -1.515 -1.078 1945 2 2.667 0.274 0 0 2.615 0.223 1.824 0.893 1945 3 11.778 4.556 0 0 11.737 4.515 11.375 5.614 1945 4 14.111 1.241 0 0 14.045 1.175 13.044 1.634 1945 5 15.444 -2.336 0 0 15.348 -2.433 13.907 -2.413 1945 6 21.222 -0.295 0 0 21.089 -0.427 19.485 -0.571 1945 7 23.556 -0.062 0 0 23.370 -0.247 21.730 -0.426 1945 8 23.556 0.379 0 0 23.336 0.160 21.352 -0.363 1945 9 21.389 1.532 0 0 21.195 1.338 20.243 1.847 1945 10 12.944 -0.405 0 0 12.805 -0.544 11.343 -0.546 1945 11 8.222 0.523 0 0 8.107 0.408 7.431 1.193 1945 12 NaN NaN NaN NaN NaN NaN -1.727 -3.203 1946 1 NaN NaN NaN NaN NaN NaN 0.897 1.334 1946 2 2.944 0.552 0 0 2.893 0.500 2.015 1.084 1946 3 12.333 5.111 0 0 12.292 5.071 10.323 4.562 1946 4 13.444 0.574 0 0 13.378 0.508 12.741 1.332 1946 5 16.944 -0.836 0 0 16.848 -0.933 15.600 -0.720 1946 6 22.000 0.483 0 0 21.867 0.350 19.822 -0.235 1946 7 23.556 -0.062 0 0 23.370 -0.247 21.945 -0.211 1946 8 21.056 -2.121 0 0 20.836 -2.340 19.138 -2.578 1946 9 20.333 0.477 0 0 20.139 0.283 18.371 -0.024 1946 10 15.556 2.207 0 0 15.416 2.067 13.185 1.297 1946 11 10.333 2.635 0 0 10.218 2.519 9.561 3.323 1946 12 NaN NaN NaN NaN NaN NaN 3.358 1.881 1947 1 NaN NaN NaN NaN NaN NaN 3.340 3.777 1947 2 NaN NaN NaN NaN NaN NaN -4.463 -5.395 1947 3 NaN NaN NaN NaN NaN NaN 0.805 -4.956 1947 4 NaN NaN NaN NaN NaN NaN 13.466 2.057 1947 5 16.444 -1.336 0 0 16.348 -1.433 15.419 -0.901 1947 6 20.667 -0.850 0 0 20.534 -0.983 19.496 -0.561 1947 7 NaN NaN NaN NaN NaN NaN 19.911 -2.245 1947 8 NaN NaN NaN NaN NaN NaN 23.653 1.937 1947 9 NaN NaN NaN NaN NaN NaN 19.057 0.661 1947 10 NaN NaN NaN NaN NaN NaN 15.065 3.177 1947 11 NaN NaN NaN NaN NaN NaN 5.621 -0.617 1947 12 NaN NaN NaN NaN NaN NaN 1.359 -0.117 1948 1 NaN NaN NaN NaN NaN NaN -4.510 -4.073 1948 2 NaN NaN NaN NaN NaN NaN 2.099 1.168 1948 3 NaN NaN NaN NaN NaN NaN 8.205 2.443 1948 4 NaN NaN NaN NaN NaN NaN 14.080 2.671 1948 5 NaN NaN NaN NaN NaN NaN 15.606 -0.714 1948 6 NaN NaN NaN NaN NaN NaN 20.374 0.317 1948 7 NaN NaN NaN NaN NaN NaN 22.399 0.243 1948 8 23.778 0.602 0 2 23.608 0.432 21.279 -0.436 1948 9 21.000 1.143 0 0 20.789 0.933 18.428 0.032 1948 10 11.056 -2.293 0 0 10.757 -2.592 10.295 -1.594 1948 11 NaN NaN NaN NaN NaN NaN 8.858 2.620 1948 12 5.056 2.118 0 0 4.719 1.782 3.051 1.575 1949 1 6.889 5.865 0 0 6.515 5.492 5.095 5.532 1949 2 5.500 3.108 0 0 5.061 2.668 4.617 3.686 1949 3 NaN NaN NaN NaN NaN NaN 5.895 0.134 1949 4 NaN NaN NaN NaN NaN NaN 10.557 -0.853 1949 5 18.496 0.716 1 0 NaN NaN 16.700 0.380 1949 6 23.667 2.150 0 0 23.358 1.841 21.353 1.297 1949 7 26.923 3.306 1 0 NaN NaN 23.885 1.729 1949 8 24.500 1.324 0 0 24.330 1.154 21.792 0.076 1949 9 17.626 -2.230 1 0 NaN NaN 16.537 -1.859 1949 10 17.699 4.350 1 0 NaN NaN 14.902 3.013 1949 11 7.152 -0.547 1 0 NaN NaN 5.827 -0.411 1949 12 NaN NaN NaN NaN NaN NaN 3.118 1.642 1950 1 8.326 7.302 1 0 NaN NaN 6.812 7.249 1950 2 4.409 2.017 1 0 NaN NaN 2.539 1.607 1950 3 NaN NaN NaN NaN NaN NaN 4.170 -1.591 1950 4 NaN NaN NaN NaN NaN NaN 9.714 -1.695 1950 5 NaN NaN NaN NaN NaN NaN 17.098 0.778 1950 6 NaN NaN NaN NaN NaN NaN 19.724 -0.332 1950 7 NaN NaN NaN NaN NaN NaN 20.891 -1.265 1950 8 NaN NaN NaN NaN NaN NaN 20.588 -1.128 1950 9 NaN NaN NaN NaN NaN NaN 17.717 -0.679 1950 10 NaN NaN NaN NaN NaN NaN 14.217 2.329 1950 11 NaN NaN NaN NaN NaN NaN 4.431 -1.807 1950 12 NaN NaN NaN NaN NaN NaN -1.047 -2.524 1951 1 NaN NaN NaN NaN NaN NaN 1.267 1.704 1951 2 NaN NaN NaN NaN NaN NaN 1.647 0.715