% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35458 % Primary Name: BRILLIANT % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.28330 +/- 0.00005 % Longitude: -80.66670 +/- 0.00005 % Elevation (m): 213.36 +/- 0.15 % # of Months: 117 % % Alternate Names: Missing Station ID - 330950 % % IDs: coop - 330950 % ghcnd - USC00330950 % ncdc - 12003974 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3aafc1d7f1ea7b36da317963c963aedd % Raw Data Hash: ac512af3d3c5c3b925b3a67f22df4d95 % Adj Data Hash: cf9278fa315e783025fc1b9df0c48751 % % 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 1911 11 NaN NaN NaN NaN NaN NaN 2.962 -2.179 1911 12 NaN NaN NaN NaN NaN NaN 1.490 2.370 1912 1 NaN NaN NaN NaN NaN NaN -9.296 -5.692 1912 2 NaN NaN NaN NaN NaN NaN -6.753 -4.385 1912 3 NaN NaN NaN NaN NaN NaN -0.225 -3.177 1912 4 NaN NaN NaN NaN NaN NaN 10.267 0.959 1912 5 NaN NaN NaN NaN NaN NaN 15.981 0.885 1912 6 NaN NaN NaN NaN NaN NaN 18.418 -1.603 1912 7 NaN NaN NaN NaN NaN NaN 21.901 -0.258 1912 8 NaN NaN NaN NaN NaN NaN 19.384 -2.047 1912 9 NaN NaN NaN NaN NaN NaN 19.293 1.513 1912 10 NaN NaN NaN NaN NaN NaN 11.730 0.509 1912 11 4.835 -1.952 0 0 4.835 -1.952 5.717 0.577 1912 12 2.173 1.406 0 0 2.173 1.406 0.212 1.092 1913 1 5.892 7.849 0 0 5.892 7.849 0.988 4.592 1913 2 -0.111 0.611 0 0 -0.111 0.611 -4.402 -2.034 1913 3 5.231 0.633 0 0 5.231 0.633 4.026 1.074 1913 4 13.013 2.058 0 0 13.013 2.058 9.590 0.282 1913 5 15.702 -1.041 0 0 15.702 -1.041 14.410 -0.686 1913 6 21.482 -0.186 0 0 21.482 -0.186 19.846 -0.176 1913 7 22.015 -1.792 0 0 22.015 -1.792 22.057 -0.103 1913 8 21.444 -1.634 0 0 21.444 -1.634 21.642 0.211 1913 9 17.148 -2.277 0 0 17.148 -2.277 17.205 -0.574 1913 10 12.735 -0.132 0 0 12.735 -0.132 11.560 0.339 1913 11 5.338 -1.449 0 0 5.338 -1.449 6.282 1.142 1913 12 2.356 1.589 0 0 2.356 1.589 0.211 1.091 1914 1 0.787 2.744 0 0 0.787 2.744 -1.271 2.333 1914 2 -3.389 -2.667 0 0 -3.389 -2.667 -7.234 -4.865 1914 3 2.700 -1.898 0 0 2.700 -1.898 1.293 -1.658 1914 4 11.373 0.417 1 0 NaN NaN 8.722 -0.587 1914 5 17.195 0.452 0 0 17.195 0.452 15.554 0.458 1914 6 20.932 -0.736 0 0 20.932 -0.736 20.301 0.280 1914 7 22.832 -0.974 0 0 22.832 -0.974 21.909 -0.250 1914 8 22.056 -1.021 0 0 22.056 -1.021 21.880 0.449 1914 9 16.678 -2.747 0 0 16.678 -2.747 16.598 -1.181 1914 10 15.239 2.371 0 0 15.239 2.371 13.345 2.124 1914 11 6.370 -0.417 0 0 6.370 -0.417 4.998 -0.142 1914 12 1.240 0.473 0 0 1.240 0.473 -3.347 -2.467 1915 1 -1.784 0.173 0 0 -1.784 0.173 -4.444 -0.840 1915 2 2.621 3.344 0 0 2.621 3.344 -0.071 2.298 1915 3 1.168 -3.430 0 0 1.168 -3.430 -0.368 -3.319 1915 4 12.433 1.478 0 0 12.433 1.478 11.809 2.501 1915 5 14.918 -1.825 0 0 14.918 -1.825 12.934 -2.162 1915 6 19.577 -2.091 0 0 19.577 -2.091 18.278 -1.743 1915 7 22.066 -1.740 0 0 22.066 -1.740 20.908 -1.252 1915 8 20.484 -2.593 0 0 20.484 -2.593 19.258 -2.172 1915 9 20.373 0.948 0 0 20.373 0.948 19.040 1.261 1915 10 12.402 -0.466 0 0 12.402 -0.466 11.891 0.670 1915 11 7.210 0.423 0 0 7.210 0.423 6.209 1.069 1915 12 0.455 -0.312 0 0 0.455 -0.312 -1.998 -1.118 1916 1 2.627 4.585 0 0 2.627 4.585 0.465 4.069 1916 2 -2.188 -1.466 0 0 -2.188 -1.466 -5.145 -2.776 1916 3 2.185 -2.412 0 0 2.185 -2.412 -0.568 -3.519 1916 4 10.000 -0.956 0 0 10.000 -0.956 8.437 -0.872 1916 5 16.861 0.119 0 0 16.861 0.119 15.246 0.150 1916 6 18.332 -3.336 0 0 18.332 -3.336 17.066 -2.956 1916 7 24.305 0.498 0 0 24.305 0.498 23.628 1.468 1916 8 21.544 -1.534 0 0 21.544 -1.534 22.238 0.807 1916 9 17.255 -2.171 0 0 17.255 -2.171 16.936 -0.843 1916 10 11.305 -1.563 0 0 11.305 -1.563 10.784 -0.437 1916 11 5.750 -1.037 0 0 5.750 -1.037 5.507 0.367 1916 12 -1.150 -1.917 0 0 -1.150 -1.917 -2.482 -1.602 1917 1 -3.610 -1.653 0 0 -3.610 -1.653 -3.869 -0.266 1917 2 -4.111 -3.389 0 0 -4.111 -3.389 -5.690 -3.321 1917 3 4.568 -0.030 0 0 4.568 -0.030 3.232 0.281 1917 4 10.535 -0.421 0 0 10.535 -0.421 8.424 -0.885 1917 5 11.763 -4.980 0 0 11.763 -4.980 10.941 -4.155 1917 6 19.980 -1.688 0 0 19.980 -1.688 18.687 -1.334 1917 7 22.634 -1.173 0 0 22.634 -1.173 21.670 -0.490 1917 8 21.918 -1.160 0 0 21.918 -1.160 20.873 -0.557 1917 9 16.175 -3.251 0 0 16.175 -3.251 15.604 -2.175 1917 10 8.911 -3.957 1 0 NaN NaN 7.451 -3.770 1917 11 3.245 -3.542 0 0 3.245 -3.542 2.959 -2.182 1917 12 -5.979 -6.746 0 0 -5.979 -6.746 -6.467 -5.588 1918 1 -7.892 -5.935 0 0 -7.892 -5.935 -10.608 -7.004 1918 2 -0.680 0.042 0 0 -0.680 0.042 -2.547 -0.179 1918 3 6.355 1.757 0 0 6.355 1.757 5.093 2.142 1918 4 9.393 -1.562 0 0 9.393 -1.562 8.536 -0.773 1918 5 19.239 2.496 0 0 19.239 2.496 17.923 2.827 1918 6 21.015 -0.653 0 0 21.015 -0.653 19.107 -0.915 1918 7 21.268 -2.539 0 0 21.268 -2.539 20.851 -1.309 1918 8 26.411 3.334 0 0 26.411 3.334 23.482 2.051 1918 9 15.980 -3.446 0 0 15.980 -3.446 14.232 -3.547 1918 10 14.129 1.262 0 0 14.129 1.262 12.612 1.392 1918 11 7.448 0.661 0 0 7.448 0.661 5.717 0.577 1918 12 4.376 3.609 0 0 4.376 3.609 2.695 3.575 1919 1 1.069 3.026 0 0 1.069 3.026 -1.036 2.568 1919 2 1.491 2.213 0 0 1.491 2.213 -1.193 1.176 1919 3 6.452 1.854 0 0 6.452 1.854 4.161 1.210 1919 4 10.248 -0.707 0 0 10.248 -0.707 8.945 -0.364 1919 5 14.787 -1.956 0 0 14.787 -1.956 14.009 -1.087 1919 6 23.552 1.884 0 0 23.552 1.884 22.696 2.674 1919 7 24.597 0.790 0 0 24.597 0.790 22.721 0.561 1919 8 21.215 -1.863 0 0 21.215 -1.863 20.217 -1.213 1919 9 19.335 -0.091 0 0 19.335 -0.091 18.110 0.331 1919 10 16.110 3.242 0 0 16.110 3.242 14.194 2.973 1919 11 5.745 -1.042 0 0 5.745 -1.042 4.994 -0.146 1919 12 -1.050 -1.817 1 0 NaN NaN -4.587 -3.708 1920 1 -3.497 -1.540 0 0 -3.497 -1.540 -7.526 -3.922 1920 2 0.795 1.517 0 0 0.795 1.517 -4.650 -2.281 1920 3 6.142 1.544 0 0 6.142 1.544 4.382 1.431 1920 4 10.443 -0.512 0 0 10.443 -0.512 6.858 -2.451 1920 5 14.540 -2.202 0 0 14.540 -2.202 13.171 -1.925 1920 6 21.353 -0.315 0 0 21.353 -0.315 19.407 -0.615 1920 7 20.423 -3.384 0 0 20.423 -3.384 20.155 -2.004 1920 8 19.785 -3.292 0 0 19.785 -3.292 20.646 -0.785 1920 9 19.745 0.319 0 0 19.745 0.319 18.278 0.499 1920 10 16.184 3.316 0 0 16.184 3.316 13.857 2.636 1920 11 NaN NaN NaN NaN NaN NaN 4.553 -0.588 1920 12 NaN NaN NaN NaN NaN NaN -0.208 0.672 1921 1 1.524 3.481 0 0 1.524 3.481 -1.224 2.380 1921 2 2.696 3.419 0 0 2.696 3.419 -0.643 1.725 1921 3 10.976 6.378 0 0 10.976 6.378 8.263 5.312 1921 4 13.865 2.909 0 0 13.865 2.909 12.314 3.005 1921 5 16.911 0.169 0 0 16.911 0.169 15.276 0.181 1921 6 22.597 0.929 0 0 22.597 0.929 21.430 1.408 1921 7 25.802 1.995 0 0 25.802 1.995 24.430 2.270 1921 8 21.248 -1.829 0 0 21.248 -1.829 20.156 -1.275 1921 9 20.387 0.961 0 0 20.387 0.961 20.542 2.762 1921 10 12.932 0.065 0 0 12.932 0.065 11.051 -0.170 1921 11 8.650 1.863 0 0 8.650 1.863 5.648 0.507 1921 12 4.769 4.002 0 0 4.769 4.002 -0.484 0.396 1922 1 0.479 2.436 0 0 0.479 2.436 -4.869 -1.266 1922 2 NaN NaN NaN NaN NaN NaN -0.556 1.812 1922 3 8.194 3.596 0 0 8.194 3.596 4.330 1.379 1922 4 12.205 1.249 0 0 12.205 1.249 10.223 0.914 1922 5 18.623 1.880 0 0 18.623 1.880 16.467 1.371 1922 6 21.888 0.220 0 0 21.888 0.220 20.517 0.496 1922 7 22.478 -1.328 0 0 22.478 -1.328 21.745 -0.415 1922 8 22.671 -0.406 0 0 22.671 -0.406 20.203 -1.227 1922 9 19.750 0.324 0 0 19.750 0.324 19.229 1.450 1922 10 15.268 2.400 0 0 15.268 2.400 12.120 0.899 1922 11 NaN NaN NaN NaN NaN NaN 6.282 1.142 1922 12 NaN NaN NaN NaN NaN NaN -0.896 -0.017 1923 1 NaN NaN NaN NaN NaN NaN -1.982 1.622 1923 2 NaN NaN NaN NaN NaN NaN -5.051 -2.682 1923 3 NaN NaN NaN NaN NaN NaN 2.165 -0.786 1923 4 NaN NaN NaN NaN NaN NaN 8.119 -1.190 1923 5 NaN NaN NaN NaN NaN NaN 13.343 -1.753 1923 6 NaN NaN NaN NaN NaN NaN 20.685 0.663 1923 7 NaN NaN NaN NaN NaN NaN 21.194 -0.966 1923 8 NaN NaN NaN NaN NaN NaN 20.159 -1.271 1923 9 NaN NaN NaN NaN NaN NaN 18.089 0.310 1923 10 NaN NaN NaN NaN NaN NaN 9.748 -1.472