% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31738 % Primary Name: KENBRIDGE % Record Type: TAVG % Country: United States % State: VA % Latitude: 36.96670 +/- 0.00005 % Longitude: -78.11670 +/- 0.00005 % Elevation (m): 152.40 +/- 0.15 % # of Months: 148 % % Alternate Names: Missing Station ID - 444531 % % IDs: coop - 444531 % ghcnd - USC00444531 % ncdc - 12010258 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 91c3f1dfcbe10addde3fac63d38eaf23 % Raw Data Hash: 39a086dec8266b45e0cae543a0595604 % Adj Data Hash: 47ea9d392a0b8d589791c6525532b09b % % 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 1930 7 NaN NaN NaN NaN NaN NaN 26.583 0.835 1930 8 NaN NaN NaN NaN NaN NaN 24.194 -1.066 1930 9 NaN NaN NaN NaN NaN NaN 25.256 3.258 1930 10 NaN NaN NaN NaN NaN NaN 13.841 -1.755 1930 11 NaN NaN NaN NaN NaN NaN 9.905 -0.604 1930 12 NaN NaN NaN NaN NaN NaN 3.553 -2.120 1931 1 NaN NaN NaN NaN NaN NaN 4.673 0.292 1931 2 NaN NaN NaN NaN NaN NaN 5.843 0.331 1931 3 NaN NaN NaN NaN NaN NaN 6.729 -3.111 1931 4 NaN NaN NaN NaN NaN NaN 13.816 -1.378 1931 5 NaN NaN NaN NaN NaN NaN 18.887 -0.812 1931 6 NaN NaN NaN NaN NaN NaN 23.543 -0.011 1931 7 27.695 2.781 1 0 NaN NaN 27.216 1.469 1931 8 24.667 0.240 0 0 23.624 -0.803 24.794 -0.466 1931 9 24.111 2.946 0 0 22.992 1.827 24.231 2.232 1931 10 17.556 2.794 0 0 16.422 1.660 16.512 0.917 1931 11 14.000 4.325 0 0 12.946 3.271 13.699 3.191 1931 12 10.278 5.438 0 0 9.304 4.464 9.917 4.244 1932 1 9.889 6.341 0 0 8.920 5.372 10.304 5.922 1932 2 9.167 4.488 0 0 8.166 3.487 8.860 3.348 1932 3 7.333 -1.673 0 0 6.325 -2.681 8.054 -1.786 1932 4 13.944 -0.416 0 0 12.942 -1.418 14.214 -0.980 1932 5 19.667 0.801 0 0 18.661 -0.204 18.596 -1.103 1932 6 24.722 2.002 0 0 23.720 1.000 23.986 0.432 1932 7 27.556 2.642 0 0 26.557 1.643 26.767 1.020 1932 8 26.222 1.795 0 0 25.180 0.753 25.564 0.303 1932 9 22.333 1.168 0 0 21.214 0.049 22.329 0.330 1932 10 16.333 1.572 0 0 15.200 0.438 16.122 0.526 1932 11 NaN NaN NaN NaN NaN NaN 10.332 -0.176 1932 12 NaN NaN NaN NaN NaN NaN 7.826 2.153 1933 1 NaN NaN NaN NaN NaN NaN 8.928 4.547 1933 2 4.334 -0.345 1 0 NaN NaN 6.577 1.065 1933 3 NaN NaN NaN NaN NaN NaN 10.109 0.269 1933 4 14.000 -0.360 0 1 14.382 0.022 15.351 0.158 1933 5 20.889 2.023 0 0 21.267 2.401 22.144 2.445 1933 6 24.429 1.709 1 0 NaN NaN 24.524 0.970 1933 7 -17.778 -42.692 1 0 NaN NaN 25.079 -0.668 1933 8 -17.778 -42.205 1 0 NaN NaN 25.413 0.152 1933 9 23.278 2.112 0 0 23.542 2.377 25.185 3.186 1933 10 14.444 -0.317 0 0 14.695 -0.067 16.003 0.407 1933 11 8.667 -1.009 0 0 8.996 -0.679 9.933 -0.576 1933 12 7.000 2.160 0 0 7.410 2.570 8.322 2.649 1934 1 5.667 2.119 0 0 6.082 2.534 7.076 2.694 1934 2 -0.611 -5.290 0 0 -0.228 -4.907 0.388 -5.124 1934 3 6.556 -2.450 0 0 6.931 -2.075 8.381 -1.459 1934 4 14.000 -0.360 0 0 14.382 0.022 15.741 0.548 1934 5 18.833 -0.032 0 0 19.211 0.346 19.314 -0.385 1934 6 24.889 2.168 0 0 25.271 2.550 25.428 1.874 1934 7 26.222 1.308 0 0 26.607 1.694 26.788 1.041 1934 8 24.333 -0.094 0 0 24.674 0.247 25.524 0.264 1934 9 21.778 0.612 0 0 22.042 0.877 23.436 1.437 1934 10 13.944 -0.817 0 0 14.195 -0.567 14.884 -0.711 1934 11 9.944 0.269 0 0 10.274 0.599 11.995 1.486 1934 12 3.500 -1.340 0 0 3.910 -0.930 5.124 -0.549 1935 1 2.944 -0.603 0 0 3.359 -0.189 4.496 0.114 1935 2 4.722 0.043 0 0 5.105 0.426 5.465 -0.048 1935 3 12.000 2.994 0 0 12.376 3.370 13.383 3.543 1935 4 12.222 -2.138 0 0 12.604 -1.756 13.647 -1.546 1935 5 17.333 -1.532 0 0 17.711 -1.154 18.442 -1.257 1935 6 22.722 0.002 0 0 23.104 0.383 24.206 0.652 1935 7 24.719 -0.195 1 0 NaN NaN 25.470 -0.277 1935 8 24.056 -0.371 0 0 24.397 -0.030 25.042 -0.218 1935 9 19.333 -1.832 0 0 19.598 -1.567 21.602 -0.397 1935 10 13.667 -1.095 0 0 13.917 -0.845 15.565 -0.031 1935 11 10.500 0.825 0 0 10.830 1.154 12.655 2.146 1935 12 NaN NaN NaN NaN NaN NaN 1.470 -4.204 1936 1 NaN NaN NaN NaN NaN NaN 2.152 -2.229 1936 2 NaN NaN NaN NaN NaN NaN 2.456 -3.057 1936 3 13.111 4.105 0 0 13.487 4.481 12.191 2.351 1936 4 12.333 -2.027 0 0 12.715 -1.645 13.646 -1.547 1936 5 19.889 1.023 0 0 20.267 1.401 20.264 0.565 1936 6 22.667 -0.054 0 0 23.048 0.328 23.111 -0.443 1936 7 25.500 0.586 0 0 25.885 0.971 26.102 0.355 1936 8 25.000 0.573 0 0 25.341 0.914 25.775 0.515 1936 9 21.889 0.724 0 0 22.153 0.988 23.340 1.341 1936 10 15.444 0.683 0 0 15.695 0.933 16.653 1.058 1936 11 8.889 -0.786 0 0 9.219 -0.457 10.000 -0.509 1936 12 4.667 -0.173 0 0 5.077 0.237 6.380 0.706 1937 1 7.778 4.230 0 0 8.193 4.645 10.460 6.079 1937 2 4.389 -0.290 0 0 4.772 0.093 4.985 -0.528 1937 3 6.889 -2.117 0 0 7.264 -1.742 8.443 -1.397 1937 4 13.500 -0.860 0 0 13.882 -0.478 14.878 -0.316 1937 5 18.500 -0.366 0 0 18.878 0.013 19.420 -0.279 1937 6 23.778 1.057 0 0 24.160 1.439 24.683 1.128 1937 7 24.111 -0.803 0 0 24.496 -0.418 25.601 -0.146 1937 8 24.667 0.240 0 0 25.008 0.581 25.552 0.292 1937 9 18.333 -2.832 0 0 18.598 -2.567 20.695 -1.304 1937 10 13.111 -1.651 0 0 13.361 -1.400 14.244 -1.351 1937 11 8.222 -1.453 0 0 8.552 -1.123 9.451 -1.058 1937 12 3.778 -1.062 0 0 4.188 -0.652 4.773 -0.900 1938 1 3.500 -0.048 0 0 3.915 0.367 4.521 0.140 1938 2 7.111 2.432 0 0 7.494 2.815 8.064 2.552 1938 3 11.667 2.661 0 0 12.042 3.036 13.083 3.244 1938 4 14.889 0.529 0 0 15.270 0.910 16.224 1.031 1938 5 18.444 -0.421 0 0 18.823 -0.043 19.713 0.014 1938 6 21.667 -1.054 0 0 22.048 -0.672 22.592 -0.962 1938 7 24.111 -0.803 0 0 24.496 -0.418 25.073 -0.674 1938 8 25.278 0.851 0 0 25.619 1.192 26.272 1.011 1938 9 20.611 -0.554 0 4 20.633 -0.533 22.067 0.068 1938 10 13.667 -1.095 0 0 13.704 -1.058 14.930 -0.665 1938 11 11.056 1.380 0 0 11.006 1.331 12.718 2.209 1938 12 4.500 -0.340 0 0 4.363 -0.477 5.718 0.045 1939 1 5.778 2.230 0 0 5.635 2.088 6.449 2.067 1939 2 7.944 3.265 0 0 7.837 3.158 8.904 3.392 1939 3 10.111 1.105 0 0 10.012 1.006 11.620 1.781 1939 4 14.222 -0.138 0 0 14.116 -0.244 15.203 0.009 1939 5 19.444 0.579 0 0 19.342 0.477 19.406 -0.293 1939 6 25.278 2.557 0 0 25.172 2.451 25.317 1.763 1939 7 24.556 -0.358 0 0 24.446 -0.468 24.839 -0.909 1939 8 24.444 0.018 0 0 24.383 -0.044 25.443 0.182 1939 9 22.000 0.835 0 0 22.022 0.856 23.338 1.339 1939 10 15.778 1.016 0 0 15.815 1.053 16.707 1.112 1939 11 7.667 -2.009 1 0 NaN NaN 8.823 -1.686 1939 12 5.611 0.771 0 0 5.474 0.634 5.602 -0.071 1940 1 -2.000 -5.548 0 0 -2.142 -5.690 -1.499 -5.880 1940 2 5.000 0.321 0 0 4.892 0.213 5.123 -0.389 1940 3 7.556 -1.450 0 0 7.456 -1.550 8.518 -1.321 1940 4 12.556 -1.804 0 0 12.450 -1.910 13.876 -1.318 1940 5 18.722 -0.143 0 0 18.620 -0.246 19.055 -0.644 1940 6 24.167 1.446 0 0 24.061 1.340 24.716 1.162 1940 7 24.778 -0.136 0 0 24.668 -0.246 25.149 -0.598 1940 8 24.000 -0.427 0 0 23.938 -0.489 24.775 -0.485 1940 9 19.444 -1.721 0 0 19.466 -1.699 20.729 -1.270 1940 10 14.444 -0.317 0 0 14.481 -0.280 14.436 -1.159 1940 11 9.556 -0.120 0 0 9.506 -0.169 10.954 0.445 1940 12 6.667 1.827 0 0 6.530 1.690 7.927 2.253 1941 1 3.000 -0.548 0 0 2.858 -0.690 4.101 -0.280 1941 2 2.444 -2.235 0 0 2.337 -2.342 2.312 -3.200 1941 3 6.000 -3.006 0 0 5.901 -3.105 6.495 -3.345 1941 4 16.278 1.918 0 0 16.172 1.812 16.738 1.545 1941 5 20.167 1.301 0 0 20.064 1.199 20.488 0.789 1941 6 23.556 0.835 0 0 23.449 0.729 23.439 -0.115 1941 7 26.000 1.086 0 0 25.890 0.976 26.245 0.498 1941 8 24.778 0.351 0 0 24.716 0.289 25.360 0.100 1941 9 23.000 1.835 0 0 23.022 1.856 23.927 1.929 1941 10 19.222 4.460 0 0 19.259 4.497 19.266 3.671 1941 11 10.222 0.547 0 0 10.173 0.498 11.468 0.960 1941 12 6.222 1.382 0 0 6.085 1.245 7.096 1.422 1942 1 2.944 -0.603 0 0 2.802 -0.746 3.788 -0.593 1942 2 2.944 -1.735 0 0 2.837 -1.842 3.132 -2.381 1942 3 10.000 0.994 0 0 9.901 0.895 10.988 1.148 1942 4 15.778 1.418 0 0 15.672 1.312 16.188 0.994 1942 5 20.611 1.746 0 0 20.509 1.643 20.893 1.194 1942 6 24.444 1.724 0 0 24.338 1.618 25.023 1.469 1942 7 26.111 1.197 0 0 26.001 1.087 26.920 1.173 1942 8 23.722 -0.705 0 0 23.660 -0.766 24.719 -0.541 1942 9 21.278 0.112 0 0 21.299 0.134 23.125 1.127 1942 10 15.444 0.683 0 0 15.481 0.720 16.104 0.509 1942 11 NaN NaN NaN NaN NaN NaN 12.023 1.515 1942 12 NaN NaN NaN NaN NaN NaN 4.504 -1.170 1943 1 NaN NaN NaN NaN NaN NaN 5.861 1.479 1943 2 NaN NaN NaN NaN NaN NaN 6.228 0.715 1943 3 NaN NaN NaN NaN NaN NaN 9.583 -0.256 1943 4 14.206 -0.154 1 0 NaN NaN 14.153 -1.041 1943 5 20.556 1.690 0 0 20.453 1.588 20.995 1.296 1943 6 26.078 3.358 0 0 25.972 3.252 26.428 2.874 1943 7 25.333 0.420 0 0 25.223 0.310 25.979 0.231 1943 8 25.333 0.906 0 0 25.272 0.845 25.818 0.557 1943 9 19.667 -1.499 0 0 19.688 -1.477 20.861 -1.138 1943 10 13.778 -0.984 0 0 13.815 -0.947 14.622 -0.973 1943 11 8.500 -1.175 0 0 8.451 -1.225 9.999 -0.510 1943 12 4.333 -0.507 0 0 4.196 -0.644 4.781 -0.892 1944 1 3.833 0.285 0 0 3.691 0.143 4.500 0.118 1944 2 5.333 0.654 0 0 5.226 0.547 5.955 0.443 1944 3 7.167 -1.839 0 0 7.067 -1.939 8.916 -0.923 1944 4 13.778 -0.582 0 0 13.672 -0.688 14.976 -0.218 1944 5 21.832 2.967 0 0 21.730 2.864 22.082 2.383 1944 6 24.667 1.946 0 0 24.561 1.840 25.217 1.663 1944 7 NaN NaN NaN NaN NaN NaN 25.203 -0.545 1944 8 25.889 1.462 0 0 25.827 1.400 24.281 -0.980 1944 9 21.000 -0.165 0 0 21.022 -0.144 22.962 0.963 1944 10 14.444 -0.317 0 0 14.481 -0.280 15.037 -0.558 1944 11 8.611 -1.064 0 0 8.562 -1.114 9.777 -0.732 1944 12 NaN NaN NaN NaN NaN NaN 2.906 -2.767 1945 1 NaN NaN NaN NaN NaN NaN 3.201 -1.180 1945 2 NaN NaN NaN NaN NaN NaN 6.064 0.551 1945 3 NaN NaN NaN NaN NaN NaN 15.465 5.625 1945 4 NaN NaN NaN NaN NaN NaN 17.534 2.341 1945 5 NaN NaN NaN NaN NaN NaN 18.270 -1.429 1945 6 NaN NaN NaN NaN NaN NaN 24.531 0.977 1945 7 NaN NaN NaN NaN NaN NaN 25.525 -0.222 1945 8 NaN NaN NaN NaN NaN NaN 24.264 -0.996 1945 9 NaN NaN NaN NaN NaN NaN 24.272 2.273 1945 10 NaN NaN NaN NaN NaN NaN 14.953 -0.642 1945 11 NaN NaN NaN NaN NaN NaN 11.918 1.409