% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34094 % Primary Name: MC NEILL 2 NE % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.15000 +/- 0.00500 % Longitude: -78.90000 +/- 0.00500 % Elevation (m): 244.10 +/- 0.05 % # of Months: 186 % % IDs: coop - 465855 % ghcnd - USC00465855 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: 2b14bf0dfb60abcebedf059da5f6ffe0 % Raw Data Hash: 718165eac49cb5bc46d1eabf54f843be % Adj Data Hash: 8df1b573bab77b5b8265c03fd0025d6e % % 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 1932 7 NaN NaN NaN NaN NaN NaN 21.535 -0.148 1932 8 NaN NaN NaN NaN NaN NaN 21.129 0.055 1932 9 NaN NaN NaN NaN NaN NaN 18.048 0.536 1932 10 NaN NaN NaN NaN NaN NaN 11.095 0.108 1932 11 NaN NaN NaN NaN NaN NaN 4.240 -1.139 1932 12 NaN NaN NaN NaN NaN NaN 1.002 1.036 1933 1 NaN NaN NaN NaN NaN NaN 2.621 4.729 1933 2 NaN NaN NaN NaN NaN NaN -0.512 0.419 1933 3 NaN NaN NaN NaN NaN NaN 2.594 -1.427 1933 4 NaN NaN NaN NaN NaN NaN 10.518 0.552 1933 5 NaN NaN NaN NaN NaN NaN 16.523 1.272 1933 6 NaN NaN NaN NaN NaN NaN 20.359 0.830 1933 7 22.611 -0.020 0 0 21.995 -0.636 21.246 -0.437 1933 8 22.333 0.311 0 0 21.543 -0.479 20.786 -0.289 1933 9 21.111 2.651 0 0 20.322 1.862 19.667 2.156 1933 10 12.000 0.065 0 0 11.390 -0.545 10.427 -0.561 1933 11 5.611 -0.717 0 0 5.075 -1.253 4.216 -1.163 1933 12 2.722 1.808 0 0 2.198 1.284 1.319 1.353 1934 1 2.667 3.826 0 0 2.345 3.505 0.453 2.561 1934 2 -3.889 -3.907 0 0 -3.982 -4.000 -7.099 -6.169 1934 3 4.111 -0.858 0 0 3.887 -1.082 2.223 -1.798 1934 4 11.333 0.419 0 0 10.747 -0.167 9.973 0.007 1934 5 16.000 -0.199 0 0 15.286 -0.913 15.732 0.481 1934 6 22.944 2.468 0 0 22.348 1.871 21.778 2.250 1934 7 25.333 2.702 0 0 24.717 2.086 23.803 2.119 1934 8 22.056 0.033 0 0 21.265 -0.757 20.388 -0.687 1934 9 19.556 1.096 0 0 18.766 0.306 18.654 1.143 1934 10 12.111 0.176 0 0 11.501 -0.434 10.729 -0.259 1934 11 8.222 1.895 0 0 7.686 1.359 7.244 1.864 1934 12 0.889 -0.025 0 0 0.365 -0.549 -0.889 -0.855 1935 1 -0.222 0.938 0 0 -0.544 0.616 -2.019 0.089 1935 2 0.944 0.927 0 0 0.851 0.834 -1.297 -0.366 1935 3 9.333 4.364 0 0 9.110 4.141 7.407 3.386 1935 4 9.222 -1.692 0 0 8.636 -2.278 8.144 -1.822 1935 5 14.611 -1.588 0 0 13.897 -2.302 13.204 -2.047 1935 6 20.056 -0.421 0 0 19.459 -1.018 18.834 -0.695 1935 7 24.222 1.591 0 0 23.606 0.975 22.808 1.125 1935 8 22.333 0.311 0 0 21.543 -0.479 21.302 0.228 1935 9 17.889 -0.571 0 0 17.099 -1.360 16.817 -0.694 1935 10 12.222 0.287 0 0 11.612 -0.323 11.062 0.074 1935 11 8.111 1.783 0 0 7.575 1.247 7.088 1.708 1935 12 -2.556 -3.470 0 0 -3.079 -3.994 -4.046 -4.013 1936 1 -3.778 -2.618 0 4 -3.716 -2.556 -5.098 -2.990 1936 2 -3.444 -3.462 0 0 -3.426 -3.444 -4.987 -4.057 1936 3 6.778 1.809 0 0 6.821 1.852 6.009 1.988 1936 4 9.556 -1.358 0 0 9.669 -1.245 7.963 -2.003 1936 5 17.111 0.912 0 0 17.249 1.050 16.248 0.997 1936 6 20.444 -0.032 0 0 20.560 0.083 19.484 -0.044 1936 7 23.278 0.647 0 0 23.397 0.766 22.210 0.527 1936 8 23.333 1.311 0 0 23.486 1.464 22.441 1.367 1936 9 20.111 1.651 0 0 20.264 1.804 19.277 1.765 1936 10 13.389 1.454 0 0 13.507 1.572 11.821 0.833 1936 11 5.444 -0.883 0 0 5.548 -0.779 4.257 -1.122 1936 12 0.556 -0.359 0 0 0.657 -0.257 0.441 0.474 1937 1 3.944 5.104 0 0 4.007 5.166 3.246 5.354 1937 2 1.333 1.316 0 0 1.351 1.334 -1.122 -0.191 1937 3 3.667 -1.302 0 0 3.710 -1.259 2.168 -1.853 1937 4 9.722 -1.192 0 0 9.836 -1.078 8.864 -1.102 1937 5 16.111 -0.088 0 0 16.249 0.050 14.794 -0.457 1937 6 21.611 1.134 0 0 21.727 1.250 20.147 0.618 1937 7 22.444 -0.187 0 0 22.564 -0.068 21.255 -0.428 1937 8 23.000 0.978 0 0 23.153 1.131 22.261 1.187 1937 9 16.556 -1.904 0 0 16.708 -1.751 16.039 -1.472 1937 10 10.222 -1.713 0 0 10.340 -1.595 9.364 -1.624 1937 11 5.167 -1.161 0 0 5.270 -1.057 4.563 -0.816 1937 12 -0.222 -1.136 0 0 -0.121 -1.035 -1.175 -1.142 1938 1 0.333 1.493 0 0 0.396 1.555 -1.412 0.696 1938 2 5.111 5.093 0 0 5.129 5.112 2.235 3.165 1938 3 7.944 2.976 0 0 7.988 3.019 7.129 3.108 1938 4 11.833 0.919 0 0 11.947 1.033 10.997 1.031 1938 5 15.389 -0.810 0 0 15.527 -0.672 14.484 -0.767 1938 6 19.389 -1.088 0 0 19.504 -0.972 18.310 -1.219 1938 7 22.167 -0.465 0 0 22.286 -0.345 21.941 0.258 1938 8 22.111 0.089 0 0 22.264 0.242 22.012 0.938 1938 9 17.000 -1.460 0 0 17.153 -1.307 16.965 -0.547 1938 10 11.778 -0.157 0 0 11.896 -0.039 11.340 0.353 1938 11 6.222 -0.105 0 0 6.326 -0.002 6.447 1.067 1938 12 0.500 -0.414 0 0 0.601 -0.313 -0.403 -0.369 1939 1 1.444 2.604 0 0 1.507 2.666 -0.088 2.020 1939 2 3.778 3.760 0 0 3.796 3.778 1.469 2.399 1939 3 7.222 2.253 0 0 7.266 2.297 5.460 1.439 1939 4 9.333 -1.581 0 0 9.447 -1.467 8.541 -1.425 1939 5 16.056 -0.143 0 0 16.194 -0.005 16.087 0.836 1939 6 21.611 1.134 0 0 21.727 1.250 20.587 1.058 1939 7 21.333 -1.298 0 0 21.453 -1.179 20.564 -1.119 1939 8 21.667 -0.356 0 0 21.820 -0.203 21.556 0.482 1939 9 17.333 -1.126 0 0 17.486 -0.974 18.925 1.414 1939 10 9.333 -2.602 0 0 9.451 -2.484 11.551 0.564 1939 11 2.833 -3.494 0 0 2.937 -3.391 4.668 -0.711 1939 12 1.056 0.141 0 0 1.157 0.243 1.109 1.143 1940 1 -7.778 -6.618 0 0 -7.716 -6.556 -8.364 -6.256 1940 2 0.778 0.760 0 0 0.796 0.778 -1.271 -0.341 1940 3 2.333 -2.636 0 0 2.377 -2.592 1.638 -2.383 1940 4 7.556 -3.358 0 0 7.669 -3.245 7.987 -1.979 1940 5 14.000 -2.199 0 0 14.138 -2.061 14.452 -0.799 1940 6 19.667 -0.810 0 0 19.782 -0.695 19.804 0.275 1940 7 21.778 -0.853 0 0 21.897 -0.734 21.142 -0.541 1940 8 20.222 -1.800 0 0 20.375 -1.647 19.986 -1.088 1940 9 15.778 -2.682 0 0 15.931 -2.529 15.715 -1.796 1940 10 11.222 -0.713 0 0 11.340 -0.595 10.383 -0.604 1940 11 6.389 0.061 0 0 6.493 0.165 5.610 0.231 1940 12 3.667 2.752 0 0 3.768 2.854 2.971 3.005 1941 1 -0.778 0.382 0 0 -0.716 0.444 -2.178 -0.071 1941 2 -1.000 -1.018 0 0 -0.982 -1.000 -3.517 -2.587 1941 3 1.056 -3.913 0 0 1.099 -3.870 0.272 -3.749 1941 4 11.889 0.975 0 0 12.002 1.088 12.475 2.509 1941 5 15.667 -0.532 0 0 15.805 -0.394 15.362 0.111 1941 6 20.222 -0.255 0 0 20.338 -0.139 19.411 -0.118 1941 7 22.889 0.258 0 0 23.008 0.377 22.002 0.318 1941 8 20.889 -1.133 0 0 21.042 -0.980 20.191 -0.883 1941 9 18.333 -0.126 0 0 18.486 0.026 18.770 1.258 1941 10 14.333 2.398 0 0 14.451 2.516 13.859 2.872 1941 11 6.667 0.339 0 0 6.770 0.443 6.782 1.402 1941 12 3.167 2.252 0 0 3.268 2.354 2.237 2.270 1942 1 -1.056 0.104 0 0 -0.993 0.166 -2.209 -0.101 1942 2 -1.222 -1.240 0 0 -1.204 -1.222 -3.340 -2.410 1942 3 6.167 1.198 0 0 6.210 1.241 5.238 1.217 1942 4 11.556 0.642 0 0 11.669 0.755 11.710 1.744 1942 5 16.278 0.079 0 0 16.416 0.217 16.502 1.251 1942 6 20.778 0.301 0 0 20.893 0.417 20.247 0.718 1942 7 23.000 0.369 0 0 23.119 0.488 22.006 0.322 1942 8 21.556 -0.467 0 0 21.709 -0.314 20.385 -0.689 1942 9 18.333 -0.126 0 0 18.486 0.026 17.457 -0.055 1942 10 12.889 0.954 0 0 13.007 1.072 11.972 0.985 1942 11 7.833 1.506 0 0 7.937 1.609 6.390 1.010 1942 12 -1.111 -2.025 0 0 -1.010 -1.924 -2.288 -2.254 1943 1 1.556 2.715 0 0 1.618 2.778 -0.574 1.534 1943 2 2.000 1.982 0 0 2.018 2.000 -0.713 0.217 1943 3 5.222 0.253 0 0 5.266 0.297 3.539 -0.482 1943 4 8.667 -2.247 0 0 8.780 -2.134 7.358 -2.608 1943 5 17.611 1.412 0 0 17.749 1.550 16.226 0.975 1943 6 23.667 3.190 0 0 23.782 3.305 22.704 3.175 1943 7 22.333 -0.298 0 0 22.453 -0.179 21.632 -0.051 1943 8 22.000 -0.022 0 0 22.153 0.131 21.307 0.232 1943 9 16.111 -2.349 0 0 16.264 -2.196 16.105 -1.407 1943 10 11.111 -0.824 0 0 11.229 -0.706 9.963 -1.024 1943 11 5.111 -1.217 0 0 5.215 -1.113 4.606 -0.774 1943 12 -0.278 -1.192 0 0 -0.176 -1.091 -1.366 -1.332 1944 1 -0.944 0.215 0 0 -0.882 0.278 -0.945 1.163 1944 2 2.444 2.427 0 0 2.462 2.445 0.133 1.063 1944 3 5.111 0.142 0 0 5.154 0.186 2.818 -1.203 1944 4 9.778 -1.136 0 0 9.891 -1.023 8.989 -0.977 1944 5 20.000 3.801 0 0 20.138 3.939 18.628 3.377 1944 6 22.000 1.523 0 0 22.116 1.639 20.745 1.216 1944 7 21.778 -0.853 0 0 21.897 -0.734 21.654 -0.029 1944 8 21.556 -0.467 0 0 21.709 -0.314 21.295 0.221 1944 9 18.167 -0.293 0 0 18.319 -0.140 17.641 0.129 1944 10 11.444 -0.491 0 0 11.563 -0.373 10.690 -0.297 1944 11 6.222 -0.105 0 0 6.326 -0.002 5.569 0.189 1944 12 -2.000 -2.914 0 0 -1.899 -2.813 -2.742 -2.708 1945 1 -2.167 -1.007 0 0 -2.104 -0.945 -4.467 -2.359 1945 2 1.333 1.316 0 0 1.351 1.334 -0.526 0.404 1945 3 10.667 5.698 0 0 10.710 5.741 10.245 6.224 1945 4 12.556 1.642 0 0 12.669 1.755 12.041 2.075 1945 5 14.778 -1.421 0 0 14.916 -1.283 13.435 -1.816 1945 6 19.944 -0.532 0 0 20.060 -0.417 19.226 -0.303 1945 7 21.889 -0.742 0 0 22.008 -0.623 21.339 -0.344 1945 8 21.222 -0.800 0 0 21.375 -0.647 20.474 -0.600 1945 9 19.500 1.040 0 0 19.653 1.193 19.212 1.700 1945 10 11.222 -0.713 0 0 11.340 -0.595 10.555 -0.432 1945 11 7.000 0.672 0 0 7.104 0.776 6.454 1.074 1945 12 -1.667 -2.581 0 0 -1.565 -2.480 -3.365 -3.332 1946 1 1.722 2.882 0 0 1.784 2.944 -0.626 1.482 1946 2 2.222 2.205 0 0 2.240 2.223 -0.179 0.751 1946 3 8.611 3.642 0 0 8.654 3.686 8.821 4.800 1946 4 11.333 0.419 0 0 11.447 0.533 9.924 -0.042 1946 5 15.611 -0.588 0 0 15.749 -0.450 14.715 -0.536 1946 6 19.778 -0.699 0 0 19.893 -0.583 18.926 -0.603 1946 7 21.333 -1.298 0 0 21.453 -1.179 20.924 -0.759 1946 8 19.056 -2.967 0 0 19.209 -2.814 18.661 -2.413 1946 9 16.944 -1.515 0 0 17.097 -1.362 17.695 0.183 1946 10 12.944 1.009 0 0 13.063 1.127 12.628 1.640 1946 11 7.833 1.506 0 0 7.937 1.609 8.015 2.636 1946 12 3.333 2.419 0 0 3.435 2.520 1.986 2.020 1947 1 3.556 4.715 0 0 3.618 4.778 1.898 4.006 1947 2 -2.333 -2.351 0 0 -2.315 -2.333 -5.148 -4.218 1947 3 1.167 -3.802 0 0 1.210 -3.759 0.100 -3.921 1947 4 11.778 0.864 0 0 11.891 0.977 11.717 1.751 1947 5 15.111 -1.088 0 0 15.249 -0.950 14.541 -0.710 1947 6 19.222 -1.255 0 0 19.338 -1.139 18.777 -0.752 1947 7 20.222 -2.409 0 0 20.341 -2.290 20.074 -1.609 1947 8 23.111 1.089 0 0 23.264 1.242 23.027 1.953 1947 9 18.667 0.207 0 0 18.819 0.360 18.111 0.599 1947 10 15.222 3.287 0 0 15.340 3.405 14.404 3.417 1947 11 5.778 -0.550 0 0 5.882 -0.446 4.525 -0.855 1947 12 0.722 -0.192 0 0 0.824 -0.091 -0.839 -0.805 1948 1 -3.222 -2.062 0 0 -3.160 -2.000 -5.850 -3.742 1948 2 0.500 0.482 0 0 0.518 0.500 -0.623 0.307 1948 3 6.889 1.920 0 0 6.932 1.963 6.669 2.648 1948 4 13.556 2.642 0 0 13.669 2.755 12.084 2.118 1948 5 15.778 -0.421 0 0 15.916 -0.283 14.565 -0.686 1948 6 20.944 0.468 0 0 21.060 0.583 19.606 0.077 1948 7 22.444 -0.187 0 0 22.564 -0.068 21.586 -0.097 1948 8 21.333 -0.689 0 0 21.486 -0.536 20.617 -0.457 1948 9 17.444 -1.015 0 0 17.597 -0.862 17.457 -0.054 1948 10 11.056 -0.880 0 0 11.174 -0.762 9.581 -1.406 1948 11 7.480 1.152 1 0 NaN NaN 8.068 2.688 1948 12 2.444 1.530 0 0 2.546 1.632 1.018 1.052 1949 1 NaN NaN NaN NaN NaN NaN 3.143 5.251 1949 2 NaN NaN NaN NaN NaN NaN 2.888 3.818 1949 3 NaN NaN NaN NaN NaN NaN 4.532 0.511 1949 4 NaN NaN NaN NaN NaN NaN 9.348 -0.618 1949 5 NaN NaN NaN NaN NaN NaN 15.261 0.011 1949 6 NaN NaN NaN NaN NaN NaN 20.447 0.918 1949 7 NaN NaN NaN NaN NaN NaN 23.354 1.670 1949 8 NaN NaN NaN NaN NaN NaN 21.260 0.185 1949 9 NaN NaN NaN NaN NaN NaN 15.443 -2.068 1949 10 NaN NaN NaN NaN NaN NaN 13.794 2.806 1949 11 NaN NaN NaN NaN NaN NaN 5.699 0.319 1949 12 NaN NaN NaN NaN NaN NaN 1.414 1.447