% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35105 % Primary Name: BELMONT 4 SE % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.98330 +/- 0.00005 % Longitude: -80.98330 +/- 0.00005 % Elevation (m): 406.00 +/- 0.05 % # of Months: 217 % % IDs: coop - 330581 % ghcnd - USC00330581 % ncdc - 20015336 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9fed6bae3601952422891328df56d822 % Raw Data Hash: f18db3172da14cde01012c3396d03636 % Adj Data Hash: 9b187fb3c40ac25e0808bbca8a253c60 % % 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 1 NaN NaN NaN NaN NaN NaN -0.139 1.098 1930 2 NaN NaN NaN NaN NaN NaN 3.497 3.348 1930 3 NaN NaN NaN NaN NaN NaN 4.688 -0.740 1930 4 NaN NaN NaN NaN NaN NaN 12.240 0.934 1930 5 NaN NaN NaN NaN NaN NaN 17.148 0.545 1930 6 NaN NaN NaN NaN NaN NaN 20.576 -0.295 1930 7 NaN NaN NaN NaN NaN NaN 23.747 0.819 1930 8 NaN NaN NaN NaN NaN NaN 21.684 -0.707 1930 9 NaN NaN NaN NaN NaN NaN 20.819 1.885 1930 10 NaN NaN NaN NaN NaN NaN 10.238 -1.894 1930 11 NaN NaN NaN NaN NaN NaN 6.165 -0.117 1930 12 NaN NaN NaN NaN NaN NaN -0.423 -1.474 1931 1 -0.111 1.974 0 0 -0.117 1.968 0.242 1.480 1931 2 1.111 1.810 0 0 1.094 1.793 1.262 1.113 1931 3 1.889 -2.691 0 0 1.846 -2.734 3.184 -2.244 1931 4 9.556 -0.902 0 0 9.460 -0.998 10.505 -0.801 1931 5 14.667 -1.089 0 0 14.530 -1.225 15.555 -1.048 1931 6 20.722 0.698 0 0 20.596 0.572 21.115 0.243 1931 7 24.111 2.030 0 0 24.018 1.937 24.905 1.977 1931 8 NaN NaN NaN NaN NaN NaN 22.159 -0.232 1931 9 19.667 1.580 0 0 19.585 1.498 21.636 2.702 1931 10 12.889 1.605 0 0 12.838 1.555 13.727 1.596 1931 11 9.667 4.232 0 0 9.659 4.224 11.126 4.844 1931 12 3.889 3.685 0 0 3.894 3.691 5.210 4.159 1932 1 4.167 6.252 0 0 4.161 6.246 5.333 6.571 1932 2 2.667 3.365 0 0 2.649 3.348 4.059 3.910 1932 3 0.556 -4.024 0 0 0.512 -4.068 2.422 -3.006 1932 4 8.500 -1.958 0 0 8.404 -2.054 10.424 -0.882 1932 5 16.111 0.356 0 0 15.975 0.219 16.575 -0.028 1932 6 21.056 1.032 0 0 20.930 0.906 21.465 0.594 1932 7 NaN NaN NaN NaN NaN NaN 22.711 -0.218 1932 8 21.778 0.235 0 0 21.694 0.151 22.218 -0.173 1932 9 18.833 0.747 0 0 18.751 0.665 19.780 0.846 1932 10 11.889 0.605 0 0 11.838 0.555 12.628 0.497 1932 11 3.611 -1.823 0 0 3.603 -1.831 5.269 -1.013 1932 12 0.500 0.296 0 0 0.505 0.302 1.410 0.358 1933 1 2.889 4.974 0 0 2.883 4.968 3.399 4.636 1933 2 -0.333 0.365 0 0 -0.351 0.348 0.144 -0.005 1933 3 3.056 -1.524 0 0 3.012 -1.568 4.709 -0.719 1933 4 10.222 -0.236 0 0 10.126 -0.332 11.693 0.388 1933 5 17.000 1.244 0 0 16.864 1.108 18.018 1.415 1933 6 21.889 1.865 0 0 21.763 1.739 22.368 1.496 1933 7 22.333 0.253 0 0 22.240 0.159 22.790 -0.139 1933 8 21.222 -0.321 0 0 21.138 -0.405 22.054 -0.337 1933 9 19.889 1.802 0 0 19.807 1.720 21.497 2.563 1933 10 10.944 -0.339 0 0 10.894 -0.390 11.620 -0.511 1933 11 3.111 -2.323 0 0 3.103 -2.331 5.253 -1.030 1933 12 1.444 1.241 0 0 1.450 1.246 2.876 1.824 1934 1 0.222 2.307 0 0 0.217 2.302 1.607 2.844 1934 2 -6.833 -6.135 0 0 -6.851 -6.152 -6.019 -6.168 1934 3 1.722 -2.858 0 0 1.679 -2.901 3.289 -2.139 1934 4 9.667 -0.791 0 0 9.571 -0.887 11.284 -0.021 1934 5 17.167 1.411 0 0 17.030 1.275 17.257 0.654 1934 6 23.778 3.754 0 0 23.652 3.628 23.704 2.833 1934 7 25.000 2.919 0 0 24.906 2.826 25.160 2.231 1934 8 20.667 -0.876 0 0 20.582 -0.961 21.933 -0.458 1934 9 18.889 0.802 0 0 18.807 0.720 20.244 1.310 1934 10 11.278 -0.006 0 0 11.227 -0.056 11.998 -0.133 1934 11 7.056 1.621 0 0 7.048 1.613 8.224 1.942 1934 12 -1.167 -1.370 0 0 -1.161 -1.365 0.180 -0.872 1935 1 -1.111 0.974 0 0 -1.117 0.968 -0.383 0.854 1935 2 -0.500 0.199 0 0 -0.517 0.181 0.336 0.187 1935 3 7.722 3.142 0 0 7.679 3.099 9.303 3.875 1935 4 8.333 -2.124 0 0 8.237 -2.220 9.743 -1.563 1935 5 13.667 -2.089 0 0 13.530 -2.225 14.335 -2.268 1935 6 19.444 -0.579 0 0 19.319 -0.705 19.913 -0.958 1935 7 23.722 1.641 0 0 23.629 1.548 24.184 1.256 1935 8 21.611 0.068 0 0 21.527 -0.016 22.741 0.350 1935 9 16.944 -1.142 0 0 16.862 -1.224 18.354 -0.580 1935 10 11.500 0.216 0 0 11.449 0.166 12.115 -0.016 1935 11 5.889 0.454 0 0 5.881 0.447 7.555 1.273 1935 12 -3.778 -3.981 0 0 -3.772 -3.976 -3.135 -4.187 1936 1 -5.056 -2.971 0 0 -5.061 -2.976 -4.607 -3.370 1936 2 -4.556 -3.857 0 0 -4.573 -3.874 -3.802 -3.951 1936 3 6.111 1.531 0 0 6.068 1.488 7.212 1.784 1936 4 7.333 -3.124 0 0 7.237 -3.220 9.052 -2.254 1936 5 18.111 2.356 0 0 17.975 2.219 17.573 0.970 1936 6 21.111 1.087 0 0 20.985 0.961 21.433 0.562 1936 7 24.000 1.919 0 0 23.906 1.826 23.867 0.939 1936 8 24.000 2.457 0 0 23.916 2.373 24.032 1.641 1936 9 19.944 1.858 0 0 19.862 1.776 21.158 2.224 1936 10 11.889 0.605 0 0 11.838 0.555 12.841 0.709 1936 11 3.444 -1.990 0 0 3.437 -1.998 4.695 -1.588 1936 12 1.889 1.685 0 0 1.894 1.691 2.597 1.546 1937 1 3.222 5.307 0 0 3.217 5.302 4.508 5.745 1937 2 -0.889 -0.190 0 0 -0.906 -0.207 0.266 0.117 1937 3 1.444 -3.135 0 0 1.401 -3.179 3.203 -2.225 1937 4 9.444 -1.013 0 0 9.348 -1.109 10.789 -0.517 1937 5 15.556 -0.200 0 0 15.419 -0.336 15.887 -0.717 1937 6 21.000 0.976 0 0 20.874 0.850 21.392 0.521 1937 7 22.000 -0.081 0 0 21.906 -0.174 22.361 -0.567 1937 8 23.167 1.624 0 0 23.082 1.539 23.641 1.250 1937 9 17.611 -0.475 0 0 17.529 -0.557 17.670 -1.264 1937 10 9.722 -1.561 0 0 9.672 -1.612 10.748 -1.383 1937 11 2.667 -2.768 0 0 2.659 -2.776 4.766 -1.516 1937 12 -2.222 -2.426 0 0 -2.217 -2.420 -0.723 -1.774 1938 1 -1.889 0.196 0 0 -1.894 0.190 -0.429 0.808 1938 2 2.944 3.643 0 0 2.927 3.626 3.789 3.640 1938 3 NaN NaN NaN NaN NaN NaN 9.016 3.588 1938 4 NaN NaN NaN NaN NaN NaN 12.793 1.487 1938 5 16.000 0.244 0 0 15.864 0.108 16.019 -0.584 1938 6 19.778 -0.246 0 0 19.652 -0.372 19.804 -1.068 1938 7 23.556 1.475 0 0 23.462 1.381 23.037 0.108 1938 8 24.222 2.679 0 0 24.138 2.595 23.306 0.915 1938 9 19.111 1.025 0 0 19.029 0.943 19.104 0.170 1938 10 12.222 0.939 0 0 12.172 0.888 12.536 0.405 1938 11 5.778 0.343 0 0 5.770 0.335 7.203 0.921 1938 12 -0.333 -0.537 0 0 -0.328 -0.531 1.014 -0.038 1939 1 0.944 3.029 0 0 0.939 3.024 1.559 2.797 1939 2 0.778 1.477 0 0 0.760 1.459 2.161 2.012 1939 3 4.889 0.309 0 0 4.846 0.266 6.657 1.229 1939 4 8.778 -1.680 0 0 8.682 -1.776 9.565 -1.740 1939 5 17.889 2.133 0 0 17.753 1.997 17.532 0.929 1939 6 22.444 2.421 0 0 22.319 2.295 22.398 1.526 1939 7 22.333 0.253 0 0 22.240 0.159 22.105 -0.824 1939 8 22.722 1.179 0 0 22.638 1.095 22.656 0.265 1939 9 20.167 2.080 0 0 20.085 1.998 21.159 2.225 1939 10 13.000 1.716 0 0 12.949 1.666 13.009 0.877 1939 11 4.444 -0.990 0 0 4.437 -0.998 5.058 -1.224 1939 12 1.056 0.852 0 0 1.061 0.857 2.101 1.050 1940 1 -8.333 -6.248 0 0 -8.339 -6.254 -7.965 -6.728 1940 2 -0.944 -0.246 0 0 -0.962 -0.263 -0.716 -0.865 1940 3 1.333 -3.247 0 0 1.290 -3.290 3.551 -1.877 1940 4 8.333 -2.124 0 0 8.237 -2.220 9.233 -2.072 1940 5 15.333 -0.422 0 0 15.197 -0.559 15.343 -1.260 1940 6 20.833 0.809 0 0 20.707 0.684 21.302 0.431 1940 7 22.667 0.586 0 0 22.573 0.492 22.663 -0.266 1940 8 21.444 -0.099 0 0 21.360 -0.183 22.405 0.014 1940 9 16.778 -1.309 0 0 16.696 -1.391 17.280 -1.655 1940 10 11.667 0.383 0 0 11.616 0.332 12.216 0.085 1940 11 4.778 -0.657 0 0 4.770 -0.665 6.185 -0.097 1940 12 3.222 3.019 0 0 3.228 3.024 4.274 3.223 1941 1 -1.778 0.307 0 0 -1.783 0.302 -0.667 0.570 1941 2 -2.778 -2.079 0 0 -2.795 -2.096 -2.429 -2.577 1941 3 0.278 -4.302 0 0 0.235 -4.345 1.196 -4.232 1941 4 13.778 3.320 0 0 13.682 3.224 13.678 2.372 1941 5 17.611 1.856 0 0 17.475 1.719 16.631 0.027 1941 6 21.444 1.421 0 0 21.319 1.295 21.402 0.531 1941 7 23.056 0.975 0 0 22.962 0.881 23.560 0.631 1941 8 21.222 -0.321 0 0 21.138 -0.405 21.662 -0.729 1941 9 19.278 1.191 0 0 19.196 1.109 20.454 1.520 1941 10 14.111 2.827 0 0 14.061 2.777 15.111 2.980 1941 11 6.444 1.010 0 0 6.437 1.002 7.160 0.878 1941 12 2.778 2.574 0 0 2.783 2.580 3.823 2.772 1942 1 -2.111 -0.026 0 0 -2.117 -0.032 -1.715 -0.478 1942 2 -3.333 -2.635 0 0 -3.351 -2.652 -2.501 -2.650 1942 3 5.667 1.087 0 0 5.623 1.044 6.870 1.442 1942 4 12.944 2.487 0 0 12.848 2.391 12.981 1.676 1942 5 17.000 1.244 0 0 16.864 1.108 17.143 0.539 1942 6 21.444 1.421 0 0 21.319 1.295 22.016 1.144 1942 7 22.556 0.475 0 0 22.462 0.381 23.190 0.261 1942 8 21.389 -0.154 0 0 21.305 -0.238 21.802 -0.589 1942 9 17.667 -0.420 0 0 17.585 -0.502 18.793 -0.141 1942 10 13.333 2.050 0 0 13.283 1.999 13.270 1.138 1942 11 6.111 0.677 0 0 6.103 0.669 7.434 1.152 1942 12 -2.222 -2.426 0 0 -2.217 -2.420 -0.809 -1.861 1943 1 -0.778 1.307 0 0 -0.783 1.302 0.494 1.731 1943 2 -0.500 0.199 0 0 -0.517 0.181 0.442 0.293 1943 3 3.333 -1.247 0 0 3.290 -1.290 4.449 -0.979 1943 4 7.111 -3.347 0 0 7.015 -3.443 8.685 -2.621 1943 5 16.333 0.578 0 0 16.197 0.441 17.035 0.432 1943 6 22.833 2.809 0 0 22.707 2.684 23.794 2.922 1943 7 23.000 0.919 0 0 22.906 0.826 23.167 0.238 1943 8 22.111 0.568 0 0 22.027 0.484 22.434 0.044 1943 9 17.000 -1.087 0 0 16.918 -1.169 17.724 -1.210 1943 10 10.778 -0.506 0 0 10.727 -0.556 11.117 -1.015 1943 11 4.000 -1.434 0 0 3.992 -1.442 5.018 -1.264 1943 12 -1.722 -1.926 0 0 -1.717 -1.920 -0.842 -1.893 1944 1 0.000 2.085 0 0 -0.006 2.079 -0.192 1.045 1944 2 1.000 1.699 0 0 0.983 1.681 1.716 1.567 1944 3 3.000 -1.580 0 0 2.957 -1.623 4.365 -1.062 1944 4 9.833 -0.624 0 0 9.737 -0.720 10.701 -0.604 1944 5 NaN NaN NaN NaN NaN NaN 19.930 3.327 1944 6 21.889 1.865 0 0 21.763 1.739 22.491 1.620 1944 7 22.444 0.364 0 0 22.351 0.270 22.833 -0.095 1944 8 22.333 0.790 0 0 22.249 0.706 22.843 0.453 1944 9 17.556 -0.531 0 0 17.473 -0.613 18.668 -0.266 1944 10 11.667 0.383 0 0 11.616 0.332 11.895 -0.237 1944 11 5.778 0.343 0 0 5.770 0.335 6.355 0.072 1944 12 -3.389 -3.592 0 0 -3.383 -3.587 -2.176 -3.227 1945 1 -5.333 -3.248 0 0 -5.339 -3.254 -3.870 -2.633 1945 2 0.111 0.810 0 0 0.094 0.793 0.537 0.388 1945 3 10.111 5.531 0 0 10.068 5.488 11.096 5.668 1945 4 12.111 1.653 0 0 12.015 1.557 13.198 1.893 1945 5 13.333 -2.422 0 4 13.798 -1.958 14.253 -2.350 1945 6 19.333 -0.691 0 0 19.762 -0.262 20.099 -0.772 1945 7 21.778 -0.303 0 0 22.097 0.016 22.440 -0.488 1945 8 21.778 0.235 0 0 22.065 0.522 21.960 -0.431 1945 9 19.111 1.025 0 0 19.391 1.304 20.795 1.861 1945 10 10.667 -0.617 0 0 10.839 -0.445 11.474 -0.658 1945 11 5.556 0.121 0 0 5.582 0.148 7.476 1.194 1945 12 -4.222 -4.426 0 0 -4.241 -4.444 -2.106 -3.157 1946 1 -1.000 1.085 0 0 -0.981 1.104 0.547 1.785 1946 2 -0.444 0.254 0 0 -0.385 0.313 1.148 0.999 1946 3 9.556 4.976 0 0 9.703 5.123 11.151 5.723 1946 4 9.333 -1.124 0 0 9.661 -0.797 11.526 0.221 1946 5 14.167 -1.589 0 0 14.631 -1.124 15.731 -0.872 1946 6 19.389 -0.635 0 0 19.818 -0.206 20.665 -0.207 1946 7 21.611 -0.470 0 0 21.930 -0.151 22.498 -0.430 1946 8 19.000 -2.543 0 0 19.287 -2.256 19.691 -2.700 1946 9 18.722 0.636 0 0 19.002 0.915 19.372 0.438 1946 10 14.222 2.939 0 0 14.395 3.111 13.990 1.859 1946 11 7.667 2.232 0 0 7.693 2.259 9.090 2.808 1946 12 1.944 1.741 0 0 1.926 1.722 3.074 2.022 1947 1 1.722 3.807 0 0 1.741 3.826 2.851 4.088 1947 2 -6.056 -5.357 0 0 -5.997 -5.298 -4.977 -5.126 1947 3 -0.278 -4.858 0 0 -0.131 -4.710 1.364 -4.064 1947 4 10.889 0.431 0 0 11.216 0.758 12.918 1.612 1947 5 13.667 -2.089 0 0 14.131 -1.624 15.215 -1.388 1947 6 19.167 -0.857 0 0 19.596 -0.428 20.372 -0.500 1947 7 19.778 -2.303 0 0 20.097 -1.984 20.607 -2.321 1947 8 23.889 2.346 0 0 24.176 2.633 24.795 2.405 1947 9 18.167 0.080 0 0 18.446 0.360 19.543 0.609 1947 10 16.389 5.105 0 0 16.561 5.278 15.962 3.830 1947 11 3.111 -2.323 0 0 3.138 -2.297 5.472 -0.811 1947 12 -1.389 -1.592 0 0 -1.407 -1.611 0.313 -0.738 1948 1 -6.444 -4.360 0 0 -6.425 -4.340 -5.868 -4.631 1948 2 -0.333 0.365 0 0 -0.274 0.424 0.727 0.578 1948 3 6.222 1.642 0 0 6.369 1.790 8.229 2.801 1948 4 12.333 1.876 0 0 12.661 2.203 13.974 2.669 1948 5 14.556 -1.200 0 0 15.020 -0.735 15.609 -0.995 1948 6 19.722 -0.302 0 0 20.151 0.127 21.000 0.128 1948 7 22.056 -0.025 0 0 22.374 0.293 23.089 0.160 1948 8 21.167 -0.376 0 0 21.454 -0.089 22.124 -0.267 1948 9 18.556 0.469 0 0 18.835 0.749 19.291 0.357 1948 10 11.167 -0.117 0 0 11.339 0.055 10.321 -1.811 1948 11 8.778 3.343 0 0 8.804 3.370 9.150 2.868 1948 12 2.056 1.852 0 0 2.037 1.834 2.629 1.577 1949 1 3.373 5.457 0 0 3.392 5.477 3.958 5.195 1949 2 3.556 4.254 0 0 3.615 4.313 3.762 3.613 1949 3 5.222 0.642 0 0 5.369 0.790 5.959 0.532 1949 4 9.667 -0.791 0 0 9.994 -0.464 10.394 -0.911 1949 5 17.278 1.522 0 0 17.742 1.987 16.984 0.381 1949 6 22.467 2.443 1 0 NaN NaN 22.555 1.683 1949 7 NaN NaN NaN NaN NaN NaN 25.009 2.081 1949 8 NaN NaN NaN NaN NaN NaN 22.754 0.363 1949 9 NaN NaN NaN NaN NaN NaN 16.649 -2.285 1949 10 NaN NaN NaN NaN NaN NaN 15.187 3.055 1949 11 NaN NaN NaN NaN NaN NaN 6.344 0.062 1949 12 NaN NaN NaN NaN NaN NaN 2.700 1.649 1950 1 NaN NaN NaN NaN NaN NaN 5.851 7.088 1950 2 NaN NaN NaN NaN NaN NaN 1.467 1.318 1950 3 NaN NaN NaN NaN NaN NaN 3.751 -1.676 1950 4 NaN NaN NaN NaN NaN NaN 9.319 -1.986 1950 5 NaN NaN NaN NaN NaN NaN 16.942 0.339 1950 6 NaN NaN NaN NaN NaN NaN 20.177 -0.695