% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32150 % Primary Name: COALWOOD % Record Type: TAVG % Country: United States % State: WV % Latitude: 37.38330 +/- 0.00005 % Longitude: -81.65000 +/- 0.00005 % Elevation (m): 442.00 +/- 0.05 % # of Months: 83 % % IDs: coop - 461798 % ghcnd - USC00461798 % ncdc - 20021349 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: be2bf58644bdc3b10939e23387bb9698 % Raw Data Hash: 6dd5d567af935f2f4ab742a8d19fb085 % Adj Data Hash: 6dd5d567af935f2f4ab742a8d19fb085 % % 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 1941 11 NaN NaN NaN NaN NaN NaN 6.915 0.677 1941 12 NaN NaN NaN NaN NaN NaN 4.071 2.594 1942 1 NaN NaN NaN NaN NaN NaN -1.166 -0.728 1942 2 NaN NaN NaN NaN NaN NaN -1.870 -2.802 1942 3 NaN NaN NaN NaN NaN NaN 6.880 1.119 1942 4 NaN NaN NaN NaN NaN NaN 12.832 1.423 1942 5 NaN NaN NaN NaN NaN NaN 16.917 0.597 1942 6 NaN NaN NaN NaN NaN NaN 21.285 1.229 1942 7 NaN NaN NaN NaN NaN NaN 22.748 0.591 1942 8 NaN NaN NaN NaN NaN NaN 21.517 -0.199 1942 9 NaN NaN NaN NaN NaN NaN 18.408 0.012 1942 10 NaN NaN NaN NaN NaN NaN 12.904 1.016 1942 11 9.667 1.624 0 0 9.667 1.624 7.670 1.432 1942 12 2.667 -0.614 0 0 2.667 -0.614 0.285 -1.192 1943 1 4.333 2.966 0 0 4.333 2.966 1.957 2.394 1943 2 4.333 1.597 0 0 4.333 1.597 1.235 0.303 1943 3 6.722 -0.843 0 0 6.722 -0.843 4.695 -1.066 1943 4 10.833 -2.380 0 0 10.833 -2.380 9.470 -1.939 1943 5 NaN NaN NaN NaN NaN NaN 17.113 0.793 1943 6 24.556 2.695 0 0 24.556 2.695 23.028 2.972 1943 7 23.889 -0.072 0 0 23.889 -0.072 22.372 0.215 1943 8 24.278 0.758 0 0 24.278 0.758 22.426 0.711 1943 9 18.444 -1.756 0 0 18.444 -1.756 16.945 -1.451 1943 10 NaN NaN NaN NaN NaN NaN 11.269 -0.619 1943 11 6.111 -1.931 0 0 6.111 -1.931 5.577 -0.661 1943 12 1.556 -1.726 0 0 1.556 -1.726 0.397 -1.080 1944 1 3.222 1.855 0 0 3.222 1.855 0.553 0.990 1944 2 5.500 2.764 0 0 5.500 2.764 2.735 1.803 1944 3 6.667 -0.899 0 0 6.667 -0.899 5.105 -0.656 1944 4 11.667 -1.547 0 0 11.667 -1.547 10.684 -0.726 1944 5 NaN NaN NaN NaN NaN NaN 18.913 2.594 1944 6 22.833 0.973 0 0 22.833 0.973 21.410 1.353 1944 7 22.944 -1.017 0 0 22.944 -1.017 21.732 -0.425 1944 8 22.833 -0.687 0 0 22.833 -0.687 21.580 -0.136 1944 9 20.111 -0.089 0 0 20.111 -0.089 18.586 0.191 1944 10 13.611 -0.082 0 0 13.611 -0.082 11.717 -0.171 1944 11 6.889 -1.154 0 0 6.889 -1.154 5.887 -0.351 1944 12 0.278 -3.003 0 0 0.278 -3.003 -1.379 -2.856 1945 1 1.444 0.077 0 0 1.444 0.077 -1.515 -1.078 1945 2 4.667 1.931 0 0 4.667 1.931 1.824 0.893 1945 3 NaN NaN NaN NaN NaN NaN 11.375 5.614 1945 4 14.444 1.231 0 0 14.444 1.231 13.044 1.634 1945 5 15.222 -2.902 0 0 15.222 -2.902 13.907 -2.413 1945 6 21.111 -0.750 0 0 21.111 -0.750 19.485 -0.571 1945 7 23.389 -0.572 0 0 23.389 -0.572 21.730 -0.426 1945 8 23.222 -0.298 0 0 23.222 -0.298 21.352 -0.363 1945 9 21.667 1.466 0 0 21.667 1.466 20.243 1.847 1945 10 13.222 -0.470 0 0 13.222 -0.470 11.343 -0.546 1945 11 8.278 0.235 0 0 8.278 0.235 7.431 1.193 1945 12 0.278 -3.003 0 0 0.278 -3.003 -1.727 -3.203 1946 1 3.222 1.855 0 0 3.222 1.855 0.897 1.334 1946 2 4.778 2.042 0 0 4.778 2.042 2.015 1.084 1946 3 12.000 4.434 0 0 12.000 4.434 10.323 4.562 1946 4 14.444 1.231 0 0 14.444 1.231 12.741 1.332 1946 5 17.556 -0.569 0 0 17.556 -0.569 15.600 -0.720 1946 6 21.333 -0.527 0 0 21.333 -0.527 19.822 -0.235 1946 7 23.778 -0.183 0 0 23.778 -0.183 21.945 -0.211 1946 8 20.778 -2.742 0 0 20.778 -2.742 19.138 -2.578 1946 9 19.667 -0.534 0 0 19.667 -0.534 18.371 -0.024 1946 10 14.389 0.696 0 0 14.389 0.696 13.185 1.297 1946 11 NaN NaN NaN NaN NaN NaN 9.561 3.323 1946 12 4.667 1.386 0 0 4.667 1.386 3.358 1.881 1947 1 5.556 4.188 0 0 5.556 4.188 3.340 3.777 1947 2 -2.389 -5.125 0 0 -2.389 -5.125 -4.463 -5.395 1947 3 2.611 -4.954 0 0 2.611 -4.954 0.805 -4.956 1947 4 15.333 2.120 0 0 15.333 2.120 13.466 2.057 1947 5 16.778 -1.346 0 0 16.778 -1.346 15.419 -0.901 1947 6 21.222 -0.638 0 0 21.222 -0.638 19.496 -0.561 1947 7 21.222 -2.739 0 0 21.222 -2.739 19.911 -2.245 1947 8 24.889 1.369 0 0 24.889 1.369 23.653 1.937 1947 9 20.333 0.133 0 0 20.333 0.133 19.057 0.661 1947 10 16.889 3.196 0 0 16.889 3.196 15.065 3.177 1947 11 7.500 -0.543 0 0 7.500 -0.543 5.621 -0.617 1947 12 3.222 -0.059 0 0 3.222 -0.059 1.359 -0.117 1948 1 -2.056 -3.423 0 0 -2.056 -3.423 -4.510 -4.073 1948 2 5.167 2.431 0 0 5.167 2.431 2.099 1.168 1948 3 10.000 2.434 0 0 10.000 2.434 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 21.778 -0.083 0 0 21.778 -0.083 20.374 0.317 1948 7 23.944 -0.017 0 0 23.944 -0.017 22.399 0.243 1948 8 22.778 -0.742 0 0 22.778 -0.742 21.279 -0.436 1948 9 19.722 -0.478 0 0 19.722 -0.478 18.428 0.032 1948 10 12.111 -1.582 0 0 12.111 -1.582 10.295 -1.594 1948 11 10.278 2.235 0 0 10.278 2.235 8.858 2.620 1948 12 4.778 1.497 0 0 4.778 1.497 3.051 1.575 1949 1 8.167 6.799 0 0 8.167 6.799 5.095 5.532 1949 2 7.500 4.764 0 0 7.500 4.764 4.617 3.686 1949 3 7.722 0.157 0 0 7.722 0.157 5.895 0.134 1949 4 12.278 -0.936 0 0 12.278 -0.936 10.557 -0.853 1949 5 18.333 0.209 0 0 18.333 0.209 16.700 0.380 1949 6 22.722 0.862 0 0 22.722 0.862 21.353 1.297 1949 7 25.222 1.261 0 0 25.222 1.261 23.885 1.729 1949 8 23.333 -0.187 0 0 23.333 -0.187 21.792 0.076 1949 9 17.889 -2.311 0 0 17.889 -2.311 16.537 -1.859 1949 10 16.944 3.252 0 0 16.944 3.252 14.902 3.013 1949 11 6.833 -1.209 0 0 6.833 -1.209 5.827 -0.411 1949 12 4.944 1.663 0 0 4.944 1.663 3.118 1.642 1950 1 9.833 8.466 0 0 9.833 8.466 6.812 7.249 1950 2 5.889 3.153 0 0 5.889 3.153 2.539 1.607 1950 3 6.944 -0.621 0 0 6.944 -0.621 4.170 -1.591 1950 4 11.944 -1.269 0 0 11.944 -1.269 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 1951 3 NaN NaN NaN NaN NaN NaN 6.019 0.258 1951 4 NaN NaN NaN NaN NaN NaN 10.684 -0.726