% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37292 % Primary Name: MADISON % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.76670 +/- 0.00005 % Longitude: -81.08330 +/- 0.00005 % Elevation (m): 185.93 +/- 0.15 % # of Months: 107 % % Alternate Names: Missing Station ID - 334815 % % IDs: coop - 334815 % ghcnd - USC00334815 % ncdc - 30002558 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9447ce897a96e1f788e532cce2193e3d % Raw Data Hash: 31a18bf1d6a7447fa8dead8eddeedf33 % Adj Data Hash: 7181bae814cd354e1f3d6ef7c75f75c2 % % 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 1919 3 NaN NaN NaN NaN NaN NaN 4.161 1.210 1919 4 NaN NaN NaN NaN NaN NaN 8.945 -0.364 1919 5 NaN NaN NaN NaN NaN NaN 14.009 -1.087 1919 6 NaN NaN NaN NaN NaN NaN 22.696 2.674 1919 7 NaN NaN NaN NaN NaN NaN 22.721 0.561 1919 8 NaN NaN NaN NaN NaN NaN 20.217 -1.213 1919 9 NaN NaN NaN NaN NaN NaN 18.110 0.331 1919 10 NaN NaN NaN NaN NaN NaN 14.194 2.973 1919 11 NaN NaN NaN NaN NaN NaN 4.994 -0.146 1919 12 NaN NaN NaN NaN NaN NaN -4.587 -3.708 1920 1 NaN NaN NaN NaN NaN NaN -7.526 -3.922 1920 2 NaN NaN NaN NaN NaN NaN -4.650 -2.281 1920 3 3.376 0.753 0 0 3.376 0.753 4.382 1.431 1920 4 5.777 -3.204 0 0 5.777 -3.204 6.858 -2.451 1920 5 11.803 -2.964 0 0 11.803 -2.964 13.171 -1.925 1920 6 18.697 -0.996 0 0 18.697 -0.996 19.407 -0.615 1920 7 19.789 -2.042 0 0 19.789 -2.042 20.155 -2.004 1920 8 20.453 -0.649 0 0 20.453 -0.649 20.646 -0.785 1920 9 17.717 0.266 0 0 17.717 0.266 18.278 0.499 1920 10 14.134 3.242 0 0 14.134 3.242 13.857 2.636 1920 11 4.715 -0.097 0 0 4.715 -0.097 4.553 -0.588 1920 12 0.926 2.134 0 0 0.926 2.134 -0.208 0.672 1921 1 -0.402 3.531 0 0 -0.402 3.531 -1.224 2.380 1921 2 -0.239 2.458 0 0 -0.239 2.458 -0.643 1.725 1921 3 6.766 4.144 0 0 6.766 4.144 8.263 5.312 1921 4 11.347 2.366 0 0 11.347 2.366 12.314 3.005 1921 5 14.080 -0.687 0 0 14.080 -0.687 15.276 0.181 1921 6 19.973 0.281 0 0 19.973 0.281 21.430 1.408 1921 7 24.385 2.554 0 0 24.385 2.554 24.430 2.270 1921 8 20.206 -0.896 0 0 20.206 -0.896 20.156 -1.275 1921 9 20.029 2.578 0 0 20.029 2.578 20.542 2.762 1921 10 11.269 0.377 0 0 11.269 0.377 11.051 -0.170 1921 11 5.128 0.316 0 0 5.128 0.316 5.648 0.507 1921 12 0.435 1.644 0 0 0.435 1.644 -0.484 0.396 1922 1 -4.050 -0.118 0 0 -4.050 -0.118 -4.869 -1.266 1922 2 -0.964 1.733 0 0 -0.964 1.733 -0.556 1.812 1922 3 2.878 0.256 0 0 2.878 0.256 4.330 1.379 1922 4 8.718 -0.262 0 0 8.718 -0.262 10.223 0.914 1922 5 14.698 -0.069 0 0 14.698 -0.069 16.467 1.371 1922 6 19.042 -0.651 0 0 19.042 -0.651 20.517 0.496 1922 7 21.153 -0.678 0 0 21.153 -0.678 21.745 -0.415 1922 8 19.685 -1.417 0 0 19.685 -1.417 20.203 -1.227 1922 9 18.066 0.615 0 0 18.066 0.615 19.229 1.450 1922 10 12.055 1.163 0 0 12.055 1.163 12.120 0.899 1922 11 6.195 1.383 0 0 6.195 1.383 6.282 1.142 1922 12 -0.600 0.608 0 0 -0.600 0.608 -0.896 -0.017 1923 1 -1.263 2.670 1 0 NaN NaN -1.982 1.622 1923 2 NaN NaN NaN NaN NaN NaN -5.051 -2.682 1923 3 1.139 -1.484 0 0 1.139 -1.484 2.165 -0.786 1923 4 6.463 -2.518 0 0 6.463 -2.518 8.119 -1.190 1923 5 11.077 -3.690 0 0 11.077 -3.690 13.343 -1.753 1923 6 20.101 0.408 0 0 20.101 0.408 20.685 0.663 1923 7 20.369 -1.462 1 0 NaN NaN 21.194 -0.966 1923 8 19.839 -1.263 0 0 19.839 -1.263 20.159 -1.271 1923 9 17.550 0.099 0 0 17.550 0.099 18.089 0.310 1923 10 10.313 -0.579 0 0 10.313 -0.579 9.748 -1.472 1923 11 5.222 0.410 0 0 5.222 0.410 5.004 -0.136 1923 12 4.559 5.767 1 0 NaN NaN 3.856 4.736 1924 1 NaN NaN NaN NaN NaN NaN -4.909 -1.305 1924 2 -7.633 -4.936 1 0 NaN NaN -4.077 -1.709 1924 3 0.585 -2.038 0 0 0.585 -2.038 1.627 -1.324 1924 4 6.277 -2.703 0 0 6.277 -2.703 8.442 -0.867 1924 5 10.145 -4.622 0 0 10.145 -4.622 11.485 -3.611 1924 6 17.926 -1.767 0 0 17.926 -1.767 18.806 -1.216 1924 7 20.152 -1.680 0 0 20.152 -1.680 20.226 -1.934 1924 8 20.120 -0.982 0 0 20.120 -0.982 20.796 -0.634 1924 9 15.569 -1.881 0 0 15.569 -1.881 15.534 -2.245 1924 10 11.073 0.181 0 0 11.073 0.181 11.699 0.478 1924 11 6.513 1.701 0 0 6.513 1.701 4.848 -0.292 1924 12 -2.466 -1.258 0 0 -2.466 -1.258 -2.972 -2.092 1925 1 -4.513 -0.580 0 0 -4.513 -0.580 -4.616 -1.012 1925 2 -0.007 2.690 0 0 -0.007 2.690 0.426 2.795 1925 3 3.413 0.790 0 0 3.413 0.790 4.198 1.247 1925 4 9.346 0.366 0 0 9.346 0.366 10.949 1.640 1925 5 10.560 -4.207 0 0 10.560 -4.207 11.708 -3.388 1925 6 21.042 1.349 0 0 21.042 1.349 21.651 1.629 1925 7 21.045 -0.786 0 0 21.045 -0.786 20.988 -1.172 1925 8 20.498 -0.604 0 0 20.498 -0.604 21.050 -0.381 1925 9 19.520 2.069 1 0 NaN NaN 19.880 2.101 1925 10 6.947 -3.945 0 0 6.947 -3.945 6.870 -4.351 1925 11 5.408 0.596 1 0 NaN NaN 3.685 -1.455 1925 12 NaN NaN NaN NaN NaN NaN -2.566 -1.687 1926 1 NaN NaN NaN NaN NaN NaN -4.160 -0.557 1926 2 NaN NaN NaN NaN NaN NaN -2.583 -0.214 1926 3 NaN NaN NaN NaN NaN NaN -0.118 -3.069 1926 4 4.647 -4.334 0 0 4.647 -4.334 6.044 -3.265 1926 5 11.760 -3.008 0 0 11.760 -3.008 14.107 -0.989 1926 6 17.107 -2.586 0 0 17.107 -2.586 17.815 -2.206 1926 7 20.597 -1.234 0 0 20.597 -1.234 21.412 -0.748 1926 8 21.853 0.751 0 0 21.853 0.751 22.258 0.827 1926 9 17.788 0.337 0 0 17.788 0.337 18.542 0.763 1926 10 12.811 1.919 1 0 NaN NaN 10.833 -0.387 1926 11 4.699 -0.113 1 0 NaN NaN 4.477 -0.664 1926 12 NaN NaN NaN NaN NaN NaN -2.846 -1.967 1927 1 NaN NaN NaN NaN NaN NaN -4.014 -0.410 1927 2 NaN NaN NaN NaN NaN NaN 0.442 2.811 1927 3 4.494 1.872 1 0 NaN NaN 5.057 2.106 1927 4 7.555 -1.425 0 0 7.555 -1.425 8.964 -0.344 1927 5 13.385 -1.382 0 0 13.385 -1.382 14.263 -0.833 1927 6 16.453 -3.239 0 0 16.453 -3.239 16.840 -3.181 1927 7 21.018 -0.813 0 0 21.018 -0.813 21.352 -0.808 1927 8 17.811 -3.291 0 0 17.811 -3.291 17.962 -3.469 1927 9 18.059 0.608 0 0 18.059 0.608 18.923 1.144 1927 10 13.413 2.521 0 0 13.413 2.521 12.932 1.711 1927 11 8.673 3.861 1 0 NaN NaN 7.661 2.521 1927 12 1.633 2.841 0 0 1.633 2.841 -1.014 -0.134 1928 1 -0.987 2.946 0 0 -0.987 2.946 -3.083 0.521 1928 2 -0.741 1.956 0 0 -0.741 1.956 -2.099 0.269 1928 3 1.796 -0.826 1 0 NaN NaN 2.261 -0.690 1928 4 7.215 -1.765 0 0 7.215 -1.765 7.067 -2.241 1928 5 12.650 -2.117 0 0 12.650 -2.117 13.442 -1.654 1928 6 17.581 -2.112 0 0 17.581 -2.112 17.658 -2.364 1928 7 22.595 0.764 0 0 22.595 0.764 22.069 -0.091 1928 8 23.271 2.169 0 0 23.271 2.169 22.399 0.968 1928 9 16.505 -0.945 0 0 16.505 -0.945 15.665 -2.114 1928 10 13.706 2.814 0 0 13.706 2.814 12.906 1.685 1928 11 7.390 2.578 0 0 7.390 2.578 5.986 0.846 1928 12 2.283 3.491 0 0 2.283 3.491 0.441 1.321 1929 1 -3.927 0.005 0 0 -3.927 0.005 -4.917 -1.313 1929 2 -4.367 -1.670 1 0 NaN NaN -4.866 -2.497 1929 3 6.377 3.755 0 0 6.377 3.755 6.459 3.508 1929 4 9.468 0.488 0 0 9.468 0.488 10.609 1.300 1929 5 12.548 -2.220 0 0 12.548 -2.220 13.563 -1.533 1929 6 17.937 -1.756 0 0 17.937 -1.756 18.699 -1.323 1929 7 21.013 -0.818 0 0 21.013 -0.818 21.536 -0.624 1929 8 18.615 -2.488 0 0 18.615 -2.488 18.743 -2.688 1929 9 17.450 -0.000 0 0 17.450 -0.000 18.343 0.564 1929 10 11.219 0.327 0 0 11.219 0.327 10.068 -1.152 1929 11 NaN NaN NaN NaN NaN NaN 3.818 -1.323 1929 12 NaN NaN NaN NaN NaN NaN -1.091 -0.212 1930 1 NaN NaN NaN NaN NaN NaN -3.504 0.099 1930 2 NaN NaN NaN NaN NaN NaN 1.452 3.821 1930 3 NaN NaN NaN NaN NaN NaN 2.277 -0.675 1930 4 NaN NaN NaN NaN NaN NaN 9.713 0.404 1930 5 NaN NaN NaN NaN NaN NaN 15.716 0.620 1930 6 NaN NaN NaN NaN NaN NaN 19.947 -0.075 1930 7 NaN NaN NaN NaN NaN NaN 22.338 0.178 1930 8 NaN NaN NaN NaN NaN NaN 20.686 -0.745 1930 9 NaN NaN NaN NaN NaN NaN 19.279 1.500 1930 10 NaN NaN NaN NaN NaN NaN 9.631 -1.590