% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36285 % Primary Name: BELOIT % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.91670 +/- 0.00005 % Longitude: -81.00000 +/- 0.00005 % Elevation (m): 348.10 +/- 0.05 % # of Months: 108 % % IDs: coop - 330600 % ghcnd - USC00330600 % ncdc - 20015514 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 28d4fed453ed94391d8724bd3fa8ac14 % Raw Data Hash: deb832912cc75339a299f6a3362ab554 % Adj Data Hash: 969c197c0d54a5809b16afe9efae158c % % 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 1910 9 NaN NaN NaN NaN NaN NaN 18.463 0.684 1910 10 NaN NaN NaN NaN NaN NaN 12.761 1.540 1910 11 NaN NaN NaN NaN NaN NaN 2.160 -2.980 1910 12 NaN NaN NaN NaN NaN NaN -4.676 -3.797 1911 1 NaN NaN NaN NaN NaN NaN -0.936 2.668 1911 2 NaN NaN NaN NaN NaN NaN -0.422 1.947 1911 3 NaN NaN NaN NaN NaN NaN 1.561 -1.390 1911 4 NaN NaN NaN NaN NaN NaN 8.030 -1.279 1911 5 NaN NaN NaN NaN NaN NaN 18.022 2.926 1911 6 NaN NaN NaN NaN NaN NaN 20.760 0.738 1911 7 NaN NaN NaN NaN NaN NaN 22.665 0.505 1911 8 NaN NaN NaN NaN NaN NaN 21.705 0.275 1911 9 17.395 0.628 0 0 17.744 0.977 18.920 1.141 1911 10 8.429 -1.780 0 0 8.886 -1.323 10.871 -0.350 1911 11 0.964 -3.165 0 0 1.377 -2.752 2.962 -2.179 1911 12 0.090 1.982 0 0 0.404 2.295 1.490 2.370 1912 1 -9.677 -5.062 0 0 -9.372 -4.757 -9.296 -5.692 1912 2 -7.686 -4.306 0 0 -7.283 -3.902 -6.753 -4.385 1912 3 -2.115 -4.054 0 0 -1.635 -3.574 -0.225 -3.177 1912 4 8.297 -0.000 0 0 8.717 0.420 10.267 0.959 1912 5 15.640 1.556 0 0 15.886 1.802 15.981 0.885 1912 6 17.663 -1.346 0 0 17.742 -1.268 18.418 -1.603 1912 7 21.529 0.381 0 0 21.568 0.419 21.901 -0.258 1912 8 18.953 -1.466 0 0 19.112 -1.307 19.384 -2.047 1912 9 17.740 0.973 0 0 18.089 1.322 19.293 1.513 1912 10 9.495 -0.714 0 0 9.952 -0.257 11.730 0.509 1912 11 3.337 -0.792 0 0 3.749 -0.379 5.717 0.577 1912 12 -0.982 0.909 0 0 -0.669 1.223 0.212 1.092 1913 1 -0.287 4.329 0 0 0.018 4.634 0.988 4.592 1913 2 -5.404 -2.023 0 0 -5.000 -1.620 -4.402 -2.034 1913 3 2.405 0.465 0 0 2.884 0.945 4.026 1.074 1913 4 7.350 -0.947 0 0 7.770 -0.527 9.590 0.282 1913 5 13.910 -0.174 0 0 14.155 0.071 14.410 -0.686 1913 6 18.923 -0.086 0 0 19.002 -0.008 19.846 -0.176 1913 7 21.937 0.789 1 0 NaN NaN 22.057 -0.103 1913 8 20.952 0.533 0 0 21.111 0.692 21.642 0.211 1913 9 15.460 -1.307 0 0 15.809 -0.958 17.205 -0.574 1913 10 9.856 -0.352 0 0 10.313 0.104 11.560 0.339 1913 11 4.190 0.061 0 0 4.603 0.474 6.282 1.142 1913 12 -0.531 1.361 0 0 -0.217 1.674 0.211 1.091 1914 1 -2.240 2.376 0 0 -1.935 2.681 -1.271 2.333 1914 2 -8.155 -4.775 0 0 -7.752 -4.371 -7.234 -4.865 1914 3 -0.373 -2.312 0 0 0.107 -1.832 1.293 -1.658 1914 4 6.983 -1.314 0 0 7.404 -0.894 8.722 -0.587 1914 5 14.913 0.829 0 0 15.159 1.074 15.554 0.458 1914 6 19.280 0.270 0 0 19.358 0.349 20.301 0.280 1914 7 NaN NaN NaN NaN NaN NaN 21.909 -0.250 1914 8 20.663 0.244 0 0 20.822 0.403 21.880 0.449 1914 9 14.890 -1.877 0 0 15.239 -1.528 16.598 -1.181 1914 10 12.460 2.251 0 0 12.917 2.708 13.345 2.124 1914 11 2.760 -1.369 0 0 3.173 -0.956 4.998 -0.142 1914 12 -3.966 -2.075 0 0 -3.653 -1.761 -3.347 -2.467 1915 1 -4.942 -0.326 0 0 -4.636 -0.021 -4.444 -0.840 1915 2 -1.012 2.368 0 0 -0.609 2.772 -0.071 2.298 1915 3 -2.781 -4.720 0 0 -2.301 -4.240 -0.368 -3.319 1915 4 9.662 1.365 0 0 10.082 1.785 11.809 2.501 1915 5 11.321 -2.763 0 0 11.567 -2.518 12.934 -2.162 1915 6 17.405 -1.605 0 0 17.483 -1.526 18.278 -1.743 1915 7 20.397 -0.751 0 0 20.435 -0.713 20.908 -1.252 1915 8 17.992 -2.427 0 0 18.151 -2.268 19.258 -2.172 1915 9 17.182 0.414 0 0 17.531 0.764 19.040 1.261 1915 10 10.160 -0.049 0 0 10.617 0.408 11.891 0.670 1915 11 3.645 -0.484 0 0 4.058 -0.071 6.209 1.069 1915 12 -2.882 -0.991 0 0 -2.569 -0.677 -1.998 -1.118 1916 1 -0.660 3.956 0 0 -0.354 4.261 0.465 4.069 1916 2 -5.878 -2.497 0 0 -5.474 -2.094 -5.145 -2.776 1916 3 -2.345 -4.285 0 0 -1.866 -3.805 -0.568 -3.519 1916 4 6.588 -1.709 0 0 7.009 -1.289 8.437 -0.872 1916 5 14.342 0.258 0 0 14.588 0.503 15.246 0.150 1916 6 16.708 -2.301 0 0 16.787 -2.223 17.066 -2.956 1916 7 NaN NaN NaN NaN NaN NaN 23.628 1.468 1916 8 21.526 1.107 0 0 21.685 1.266 22.238 0.807 1916 9 15.405 -1.362 0 0 15.754 -1.013 16.936 -0.843 1916 10 8.808 -1.401 0 0 9.265 -0.944 10.784 -0.437 1916 11 3.225 -0.904 0 0 3.638 -0.491 5.507 0.367 1916 12 -3.694 -1.802 0 0 -3.380 -1.489 -2.482 -1.602 1917 1 -4.695 -0.080 0 0 -4.390 0.226 -3.869 -0.266 1917 2 -6.734 -3.353 0 0 -6.331 -2.950 -5.690 -3.321 1917 3 1.260 -0.680 0 0 1.739 -0.200 3.232 0.281 1917 4 6.370 -1.927 0 0 6.790 -1.507 8.424 -0.885 1917 5 10.266 -3.818 0 0 10.512 -3.572 10.941 -4.155 1917 6 18.773 -0.236 0 0 18.852 -0.158 18.687 -1.334 1917 7 21.592 0.444 1 0 NaN NaN 21.670 -0.490 1917 8 20.124 -0.295 0 0 20.283 -0.136 20.873 -0.557 1917 9 13.598 -3.169 0 0 13.948 -2.819 15.604 -2.175 1917 10 5.560 -4.649 0 0 6.017 -4.192 7.451 -3.770 1917 11 1.040 -3.089 0 0 1.453 -2.676 2.959 -2.182 1917 12 -5.768 -3.876 0 4 -6.404 -4.512 -6.467 -5.588 1918 1 -9.477 -4.862 0 0 -10.097 -5.481 -10.608 -7.004 1918 2 -2.484 0.897 0 0 -3.302 0.078 -2.547 -0.179 1918 3 3.556 1.617 0 0 2.584 0.644 5.093 2.142 1918 4 7.860 -0.437 0 0 7.008 -1.289 8.536 -0.773 1918 5 18.194 4.109 0 0 17.695 3.611 17.923 2.827 1918 6 19.258 0.249 0 0 19.100 0.090 19.107 -0.915 1918 7 21.182 0.034 0 0 21.104 -0.044 20.851 -1.309 1918 8 NaN NaN NaN NaN NaN NaN 23.482 2.051 1918 9 13.670 -3.097 0 0 12.961 -3.806 14.232 -3.547 1918 10 12.400 2.191 0 0 11.473 1.264 12.612 1.392 1918 11 4.833 0.705 0 0 3.996 -0.133 5.717 0.577 1918 12 2.585 4.477 0 0 1.950 3.841 2.695 3.575 1919 1 -1.140 3.475 0 0 -1.759 2.856 -1.036 2.568 1919 2 -0.830 2.550 0 0 -1.649 1.732 -1.193 1.176 1919 3 2.444 0.504 0 0 1.471 -0.469 4.161 1.210 1919 4 8.615 0.318 0 0 7.763 -0.534 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 17.023 0.256 0 0 16.314 -0.453 18.110 0.331 1919 10 13.384 3.175 0 0 12.457 2.248 14.194 2.973 1919 11 3.277 -0.852 0 0 2.439 -1.689 4.994 -0.146 1919 12 -5.250 -3.359 0 0 -5.886 -3.994 -4.587 -3.708 1920 1 -7.434 -2.818 0 0 -8.053 -3.437 -7.526 -3.922 1920 2 -4.138 -0.757 0 0 -4.956 -1.576 -4.650 -2.281 1920 3 3.319 1.380 0 0 2.346 0.407 4.382 1.431 1920 4 5.927 -2.370 0 0 5.074 -3.223 6.858 -2.451 1920 5 13.024 -1.060 0 0 12.526 -1.558 13.171 -1.925 1920 6 19.297 0.287 0 0 19.138 0.128 19.407 -0.615 1920 7 20.577 -0.571 0 0 20.499 -0.649 20.155 -2.004 1920 8 20.676 0.257 0 0 20.353 -0.066 20.646 -0.785 1920 9 17.650 0.883 0 0 16.941 0.174 18.278 0.499 1920 10 13.619 3.410 0 0 12.692 2.484 13.857 2.636 1920 11 3.890 -0.239 0 0 3.053 -1.076 4.553 -0.588 1920 12 NaN NaN NaN NaN NaN NaN -0.208 0.672 1921 1 -1.321 3.295 0 0 -1.940 2.676 -1.224 2.380 1921 2 -0.275 3.106 0 0 -1.093 2.287 -0.643 1.725 1921 3 7.253 5.314 0 0 6.280 4.341 8.263 5.312 1921 4 11.818 3.521 0 0 10.966 2.669 12.314 3.005 1921 5 NaN NaN NaN NaN NaN NaN 15.276 0.181 1921 6 NaN NaN NaN NaN NaN NaN 21.430 1.408 1921 7 NaN NaN NaN NaN NaN NaN 24.430 2.270 1921 8 NaN NaN NaN NaN NaN NaN 20.156 -1.275 1921 9 NaN NaN NaN NaN NaN NaN 20.542 2.762 1921 10 NaN NaN NaN NaN NaN NaN 11.051 -0.170 1921 11 NaN NaN NaN NaN NaN NaN 5.648 0.507 1921 12 NaN NaN NaN NaN NaN NaN -0.484 0.396 1922 1 NaN NaN NaN NaN NaN NaN -4.869 -1.266 1922 2 NaN NaN NaN NaN NaN NaN -0.556 1.812 1922 3 NaN NaN NaN NaN NaN NaN 4.330 1.379 1922 4 NaN NaN NaN NaN NaN NaN 10.223 0.914