% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29508 % Primary Name: ENGLAND % Record Type: TAVG % Country: United States % State: AR % Latitude: 34.53333 +/- 0.00833 % Longitude: -91.96667 +/- 0.00833 % Elevation (m): 70.10 +/- 0.05 % # of Months: 163 % % IDs: coop - 32336 % ncdc - 20000514 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: dc3cadbc941093491f252cff0386dc62 % Raw Data Hash: 8b65c22a824e960110aa53283f8145ef % Adj Data Hash: ac3c68bd505397f3517b602969656f01 % % 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 1.714 -2.769 1930 2 NaN NaN NaN NaN NaN NaN 10.806 3.968 1930 3 NaN NaN NaN NaN NaN NaN 10.286 -1.049 1930 4 NaN NaN NaN NaN NaN NaN 18.409 1.382 1930 5 NaN NaN NaN NaN NaN NaN 21.019 -0.571 1930 6 NaN NaN NaN NaN NaN NaN 25.336 -0.347 1930 7 NaN NaN NaN NaN NaN NaN 29.623 2.052 1930 8 NaN NaN NaN NaN NaN NaN 27.423 0.634 1930 9 NaN NaN NaN NaN NaN NaN 24.627 1.337 1930 10 NaN NaN NaN NaN NaN NaN 15.700 -1.325 1930 11 NaN NaN NaN NaN NaN NaN 10.643 -0.194 1930 12 NaN NaN NaN NaN NaN NaN 4.961 -1.370 1931 1 6.222 1.517 0 0 6.152 1.447 5.246 0.763 1931 2 10.111 3.051 0 0 10.024 2.964 8.927 2.089 1931 3 9.278 -2.278 0 0 9.193 -2.363 8.404 -2.931 1931 4 16.333 -0.915 0 0 16.280 -0.968 15.744 -1.283 1931 5 19.000 -2.812 0 0 18.973 -2.840 18.942 -2.649 1931 6 26.111 0.206 0 0 26.076 0.171 26.454 0.771 1931 7 27.056 -0.737 0 0 26.996 -0.797 27.239 -0.332 1931 8 25.000 -2.011 0 0 24.921 -2.090 24.838 -1.952 1931 9 26.056 2.543 0 0 25.963 2.451 26.016 2.726 1931 10 19.833 2.587 0 0 19.734 2.487 19.630 2.605 1931 11 14.778 3.719 0 0 14.689 3.630 14.588 3.751 1931 12 10.333 3.781 0 0 10.263 3.711 10.055 3.724 1932 1 8.778 4.073 0 0 8.707 4.003 8.021 3.538 1932 2 12.389 5.329 0 0 12.302 5.242 11.208 4.370 1932 3 10.556 -1.001 0 0 10.471 -1.086 9.316 -2.019 1932 4 18.278 1.029 0 0 18.225 0.976 18.152 1.125 1932 5 21.000 -0.812 0 0 20.973 -0.840 20.998 -0.593 1932 6 26.056 0.151 0 0 26.021 0.116 26.762 1.079 1932 7 28.444 0.652 0 0 28.385 0.592 28.325 0.754 1932 8 28.000 0.989 0 0 27.921 0.910 27.570 0.781 1932 9 23.556 0.043 0 0 23.463 -0.049 23.304 0.013 1932 10 16.444 -0.802 0 0 16.345 -0.902 16.113 -0.912 1932 11 8.944 -2.114 0 0 8.855 -2.203 8.603 -2.234 1932 12 4.444 -2.108 0 0 4.374 -2.178 4.685 -1.646 1933 1 10.667 5.962 0 0 10.596 5.892 9.204 4.721 1933 2 5.667 -1.393 0 0 5.579 -1.480 5.668 -1.170 1933 3 12.333 0.777 0 0 12.248 0.692 11.537 0.203 1933 4 16.667 -0.582 0 0 16.614 -0.635 16.717 -0.310 1933 5 22.667 0.854 0 0 22.639 0.827 22.751 1.161 1933 6 26.333 0.429 0 0 26.298 0.394 26.214 0.531 1933 7 27.333 -0.459 0 0 27.274 -0.519 27.309 -0.262 1933 8 26.889 -0.122 0 0 26.810 -0.201 26.219 -0.570 1933 9 26.667 3.154 0 0 26.574 3.062 26.319 3.028 1933 10 17.778 0.531 0 0 17.678 0.431 17.213 0.188 1933 11 12.167 1.108 0 0 12.078 1.019 11.831 0.994 1933 12 10.278 3.725 0 0 10.208 3.655 10.225 3.894 1934 1 8.000 3.295 0 0 7.930 3.225 6.994 2.511 1934 2 5.222 -1.837 0 0 5.135 -1.925 5.032 -1.806 1934 3 10.722 -0.834 0 0 10.637 -0.919 9.764 -1.571 1934 4 17.778 0.529 0 0 17.725 0.476 17.593 0.566 1934 5 21.833 0.021 0 0 21.806 -0.006 21.721 0.130 1934 6 27.222 1.318 0 0 27.187 1.282 27.494 1.811 1934 7 29.667 1.874 0 0 29.607 1.814 29.414 1.843 1934 8 29.833 2.822 0 0 29.754 2.743 29.149 2.360 1934 9 22.778 -0.734 0 0 22.685 -0.827 22.816 -0.474 1934 10 20.389 3.142 0 0 20.289 3.042 19.304 2.279 1934 11 13.000 1.941 0 0 12.911 1.852 12.653 1.816 1934 12 6.222 -0.330 0 0 6.152 -0.401 5.764 -0.567 1935 1 7.333 2.628 0 0 7.263 2.558 6.201 1.718 1935 2 8.611 1.551 0 0 8.524 1.464 7.624 0.786 1935 3 15.333 3.777 0 0 15.248 3.692 15.199 3.865 1935 4 16.389 -0.860 0 0 16.336 -0.913 16.134 -0.893 1935 5 20.111 -1.701 0 0 20.084 -1.729 20.135 -1.455 1935 6 24.333 -1.571 0 0 24.298 -1.606 24.624 -1.059 1935 7 27.944 0.152 0 0 27.885 0.092 28.181 0.610 1935 8 27.889 0.878 0 0 27.810 0.799 27.767 0.978 1935 9 23.333 -0.179 0 0 23.241 -0.272 22.918 -0.372 1935 10 18.444 1.198 0 0 18.345 1.098 18.015 0.990 1935 11 10.889 -0.170 0 0 10.800 -0.259 10.575 -0.263 1935 12 2.833 -3.719 0 0 2.763 -3.789 3.323 -3.008 1936 1 NaN NaN NaN NaN NaN NaN 2.682 -1.801 1936 2 NaN NaN NaN NaN NaN NaN 2.663 -4.175 1936 3 13.444 1.888 0 0 13.360 1.803 13.861 2.526 1936 4 15.222 -2.026 0 0 15.169 -2.079 15.730 -1.297 1936 5 20.667 -1.146 0 0 20.639 -1.173 21.982 0.391 1936 6 NaN NaN NaN NaN NaN NaN 27.229 1.546 1936 7 NaN NaN NaN NaN NaN NaN 28.014 0.443 1936 8 29.222 2.211 0 0 29.143 2.132 28.686 1.896 1936 9 27.556 4.043 0 0 27.463 3.951 26.540 3.250 1936 10 17.000 -0.247 0 0 16.900 -0.346 16.391 -0.634 1936 11 10.278 -0.781 0 0 10.189 -0.870 9.525 -1.313 1936 12 8.556 2.003 0 0 8.485 1.933 7.741 1.410 1937 1 7.000 2.295 0 0 6.930 2.225 6.315 1.831 1937 2 7.056 -0.004 0 0 6.968 -0.091 6.695 -0.143 1937 3 9.889 -1.667 0 0 9.804 -1.752 9.094 -2.240 1937 4 17.556 0.307 0 0 17.503 0.254 16.909 -0.118 1937 5 22.333 0.521 0 0 22.306 0.494 22.291 0.701 1937 6 26.389 0.484 0 0 26.354 0.449 26.772 1.089 1937 7 27.056 -0.737 0 0 26.996 -0.797 26.843 -0.728 1937 8 28.111 1.100 0 0 28.032 1.021 27.684 0.895 1937 9 23.444 -0.068 0 0 23.352 -0.161 22.922 -0.368 1937 10 16.667 -0.580 0 0 16.567 -0.680 15.882 -1.143 1937 11 9.556 -1.503 0 0 9.467 -1.592 9.538 -1.299 1937 12 6.778 0.225 0 0 6.708 0.155 6.226 -0.105 1938 1 6.556 1.851 0 0 6.485 1.780 5.598 1.115 1938 2 11.278 4.218 0 0 11.191 4.131 10.520 3.682 1938 3 16.333 4.777 0 0 16.248 4.692 15.645 4.310 1938 4 17.222 -0.026 0 0 17.169 -0.079 17.200 0.173 1938 5 21.667 -0.146 0 0 21.639 -0.173 21.785 0.195 1938 6 25.000 -0.905 0 0 24.965 -0.940 24.956 -0.727 1938 7 28.111 0.319 0 0 28.051 0.259 28.241 0.670 1938 8 29.000 1.989 0 0 28.921 1.910 28.457 1.667 1938 9 25.111 1.599 0 0 25.018 1.506 24.558 1.267 1938 10 19.333 2.087 0 0 19.234 1.987 19.044 2.019 1938 11 11.278 0.219 0 0 11.189 0.130 10.973 0.136 1938 12 7.556 1.003 0 0 7.485 0.933 6.758 0.427 1939 1 8.389 3.684 0 0 8.319 3.614 7.232 2.749 1939 2 7.944 0.885 0 0 7.857 0.798 7.024 0.186 1939 3 13.833 2.277 0 0 13.748 2.192 13.045 1.710 1939 4 15.444 -1.804 0 0 15.392 -1.857 15.518 -1.509 1939 5 20.222 -1.590 0 0 20.195 -1.617 21.118 -0.473 1939 6 25.333 -0.571 0 0 25.298 -0.606 26.412 0.729 1939 7 28.111 0.319 0 0 28.051 0.259 27.906 0.335 1939 8 27.444 0.433 0 0 27.365 0.354 26.858 0.069 1939 9 26.444 2.932 0 0 26.352 2.839 26.501 3.210 1939 10 18.833 1.587 0 0 18.734 1.487 18.493 1.468 1939 11 9.889 -1.170 0 0 9.800 -1.259 9.625 -1.213 1939 12 7.389 0.836 0 0 7.319 0.766 7.955 1.625 1940 1 -1.833 -6.538 0 0 -1.904 -6.608 -2.508 -6.991 1940 2 6.278 -0.782 0 0 6.191 -0.869 5.211 -1.627 1940 3 11.889 0.333 0 0 11.804 0.248 11.099 -0.235 1940 4 15.500 -1.749 0 0 15.447 -1.802 15.916 -1.111 1940 5 20.000 -1.812 0 0 19.973 -1.840 19.564 -2.027 1940 6 24.778 -1.127 0 0 24.743 -1.162 24.803 -0.880 1940 7 26.333 -1.459 0 0 26.274 -1.519 25.965 -1.606 1940 8 25.944 -1.067 0 0 25.865 -1.146 25.656 -1.133 1940 9 21.333 -2.179 0 0 21.241 -2.272 22.053 -1.238 1940 10 18.778 1.531 0 0 18.678 1.431 18.215 1.190 1940 11 10.333 -0.725 0 0 10.244 -0.814 10.134 -0.704 1940 12 9.000 2.447 0 0 8.930 2.377 8.617 2.286 1941 1 7.222 2.517 0 0 7.152 2.447 6.150 1.666 1941 2 5.833 -1.226 0 0 5.746 -1.314 4.702 -2.136 1941 3 9.556 -2.001 0 0 9.471 -2.086 8.621 -2.714 1941 4 18.111 0.862 0 0 18.058 0.810 18.103 1.076 1941 5 21.889 0.077 0 0 21.862 0.049 22.268 0.677 1941 6 25.333 -0.571 0 0 25.298 -0.606 25.643 -0.040 1941 7 27.778 -0.015 0 0 27.718 -0.075 27.610 0.039 1941 8 26.333 -0.678 0 0 26.254 -0.757 27.267 0.478 1941 9 24.222 0.710 0 0 24.129 0.617 24.676 1.386 1941 10 20.778 3.531 0 0 20.678 3.431 20.688 3.663 1941 11 10.667 -0.392 0 0 10.578 -0.481 10.266 -0.571 1941 12 8.000 1.447 0 0 7.930 1.377 7.683 1.352 1942 1 4.056 -0.649 0 0 3.985 -0.720 3.278 -1.205 1942 2 6.222 -0.837 0 0 6.135 -0.925 5.142 -1.696 1942 3 12.556 0.999 0 0 12.471 0.914 11.995 0.660 1942 4 17.556 0.307 0 0 17.503 0.254 17.665 0.638 1942 5 20.333 -1.479 0 0 20.306 -1.506 20.620 -0.970 1942 6 25.667 -0.238 0 0 25.632 -0.273 25.977 0.294 1942 7 27.833 0.041 0 0 27.774 -0.019 27.911 0.340 1942 8 26.278 -0.733 0 0 26.199 -0.812 26.042 -0.748 1942 9 22.889 -0.623 0 4 23.356 -0.156 22.500 -0.790 1942 10 17.222 -0.024 0 0 17.725 0.478 17.560 0.535 1942 11 12.444 1.386 0 0 12.893 1.834 13.062 2.225 1942 12 6.333 -0.219 0 0 6.686 0.134 6.616 0.285 1943 1 5.556 0.851 0 0 5.910 1.205 5.308 0.825 1943 2 8.444 1.385 0 0 8.884 1.824 8.651 1.813 1943 3 8.111 -3.445 0 0 8.538 -3.018 8.579 -2.755 1943 4 16.778 -0.471 0 0 17.044 -0.205 17.524 0.497 1943 5 20.500 -1.312 0 0 20.638 -1.175 22.531 0.940 1943 6 26.778 0.873 0 0 26.954 1.050 27.673 1.990 1943 7 28.444 0.652 0 0 28.746 0.953 28.749 1.178 1943 8 28.944 1.933 0 0 29.343 2.332 29.216 2.427 1943 9 NaN NaN NaN NaN NaN NaN 22.160 -1.131 1943 10 NaN NaN NaN NaN NaN NaN 16.368 -0.657 1943 11 NaN NaN NaN NaN NaN NaN 9.954 -0.883 1943 12 NaN NaN NaN NaN NaN NaN 5.459 -0.872 1944 1 5.833 1.128 0 0 6.187 1.483 5.445 0.962 1944 2 9.444 2.385 0 0 9.884 2.824 9.356 2.518 1944 3 11.833 0.277 0 0 12.261 0.704 11.201 -0.134 1944 4 16.556 -0.693 0 0 16.822 -0.427 16.192 -0.835 1944 5 21.667 -0.146 0 0 21.804 -0.008 21.867 0.277 1944 6 26.444 0.540 0 0 26.621 0.716 27.322 1.639 1944 7 27.556 -0.237 0 0 27.857 0.064 27.821 0.250 1944 8 26.667 -0.344 0 0 27.065 0.054 26.979 0.189 1944 9 24.333 0.821 0 0 24.801 1.288 23.915 0.625 1944 10 NaN NaN NaN NaN NaN NaN 17.536 0.511 1944 11 12.667 1.608 0 0 13.115 2.056 11.723 0.886 1944 12 3.611 -2.942 0 0 3.964 -2.588 3.860 -2.471 1945 1 5.333 0.628 0 0 5.687 0.983 4.576 0.093 1945 2 7.667 0.607 0 0 8.106 1.046 7.044 0.206 1945 3 14.833 3.277 0 0 15.261 3.704 15.443 4.109 1945 4 18.167 0.918 0 0 18.433 1.184 17.954 0.927 1945 5 NaN NaN NaN NaN NaN NaN 19.531 -2.060 1945 6 NaN NaN NaN NaN NaN NaN 25.151 -0.532 1945 7 NaN NaN NaN NaN NaN NaN 26.398 -1.172 1945 8 NaN NaN NaN NaN NaN NaN 26.360 -0.429 1945 9 NaN NaN NaN NaN NaN NaN 24.127 0.837 1945 10 NaN NaN NaN NaN NaN NaN 16.228 -0.797 1945 11 NaN NaN NaN NaN NaN NaN 12.466 1.629 1945 12 NaN NaN NaN NaN NaN NaN 3.666 -2.665 1946 1 NaN NaN NaN NaN NaN NaN 5.108 0.625 1946 2 NaN NaN NaN NaN NaN NaN 8.731 1.893 1946 3 NaN NaN NaN NaN NaN NaN 14.540 3.205 1946 4 NaN NaN NaN NaN NaN NaN 18.868 1.840