% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 6317 % Primary Name: DUTTON 2 % Record Type: TAVG % Country: Canada % Latitude: 42.67000 +/- 0.00500 % Longitude: -81.53000 +/- 0.00500 % Elevation (m): 220.00 +/- 0.50 % # of Months: 134 % % IDs: ghcnd - CA006132176 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 57c87d354fd943d9986c0eba170a7ed2 % Raw Data Hash: f1c7d83a1b8c27a6fb872ae21c4241d9 % Adj Data Hash: 0b3505cfccff0d1835ccc0f9ba0a15af % % 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 1912 2 NaN NaN NaN NaN NaN NaN -8.528 -4.113 1912 3 NaN NaN NaN NaN NaN NaN -3.825 -4.055 1912 4 NaN NaN NaN NaN NaN NaN 6.692 -0.015 1912 5 NaN NaN NaN NaN NaN NaN 13.100 0.503 1912 6 NaN NaN NaN NaN NaN NaN 16.031 -1.738 1912 7 NaN NaN NaN NaN NaN NaN 19.864 -0.369 1912 8 NaN NaN NaN NaN NaN NaN 17.341 -2.398 1912 9 NaN NaN NaN NaN NaN NaN 17.809 1.493 1912 10 NaN NaN NaN NaN NaN NaN 11.153 0.631 1912 11 NaN NaN NaN NaN NaN NaN 5.713 0.874 1912 12 NaN NaN NaN NaN NaN NaN 0.092 1.474 1913 1 NaN NaN NaN NaN NaN NaN -0.526 4.111 1913 2 -6.035 -1.817 1 0 NaN NaN -6.296 -1.881 1913 3 -0.098 -0.526 0 0 -0.095 -0.522 0.725 0.494 1913 4 7.337 0.434 0 0 7.311 0.408 7.520 0.814 1913 5 12.434 -0.361 0 0 12.399 -0.395 11.737 -0.860 1913 6 18.621 0.656 0 0 18.579 0.614 17.459 -0.309 1913 7 20.934 0.505 0 0 20.882 0.453 19.962 -0.271 1913 8 NaN NaN NaN NaN NaN NaN 19.596 -0.143 1913 9 NaN NaN NaN NaN NaN NaN 15.575 -0.741 1913 10 10.369 -0.349 0 0 10.400 -0.318 11.140 0.618 1913 11 5.420 0.384 0 0 5.453 0.417 6.520 1.681 1913 12 0.415 1.600 0 0 0.451 1.636 0.537 1.918 1914 1 -2.580 1.861 0 0 -2.531 1.910 -2.608 2.030 1914 2 -9.807 -5.589 0 0 -9.767 -5.549 -9.313 -4.898 1914 3 -0.363 -0.791 0 0 -0.360 -0.787 -0.701 -0.932 1914 4 6.795 -0.108 0 0 6.769 -0.134 5.822 -0.885 1914 5 14.531 1.736 0 0 14.496 1.702 13.365 0.767 1914 6 18.120 0.155 0 0 18.078 0.113 17.416 -0.353 1914 7 21.280 0.850 0 0 21.228 0.798 20.091 -0.142 1914 8 20.608 0.672 0 0 20.572 0.636 19.711 -0.028 1914 9 15.978 -0.534 0 0 15.982 -0.530 15.599 -0.718 1914 10 12.368 1.650 0 0 12.399 1.681 12.357 1.835 1914 11 3.491 -1.545 0 0 3.524 -1.512 4.625 -0.215 1914 12 -4.730 -3.545 0 0 -4.693 -3.508 -3.796 -2.414 1915 1 -6.258 -1.817 0 0 -6.209 -1.768 -5.496 -0.858 1915 2 -2.455 1.763 0 0 -2.415 1.803 -2.614 1.801 1915 3 -0.934 -1.361 0 0 -0.930 -1.358 -1.794 -2.025 1915 4 9.633 2.730 0 0 9.607 2.704 9.587 2.881 1915 5 10.792 -2.002 0 0 10.758 -2.037 10.187 -2.411 1915 6 16.082 -1.883 0 0 16.040 -1.925 15.836 -1.932 1915 7 19.874 -0.555 0 0 19.822 -0.607 18.917 -1.316 1915 8 18.973 -0.963 0 0 18.936 -0.999 17.914 -1.825 1915 9 17.912 1.399 0 0 17.916 1.403 17.554 1.238 1915 10 11.168 0.449 0 0 11.199 0.480 11.212 0.690 1915 11 4.986 -0.050 0 0 5.019 -0.017 5.937 1.098 1915 12 -4.050 -2.865 0 0 -4.013 -2.828 -2.429 -1.047 1916 1 -1.615 2.826 0 0 -1.566 2.875 -0.898 3.740 1916 2 -7.200 -2.982 0 0 -7.160 -2.942 -7.417 -3.002 1916 3 -3.613 -4.040 0 0 -3.609 -4.037 -3.914 -4.145 1916 4 7.509 0.606 0 0 7.483 0.580 6.693 -0.014 1916 5 12.884 0.090 0 0 12.850 0.056 12.060 -0.538 1916 6 16.077 -1.887 1 0 NaN NaN 15.248 -2.521 1916 7 24.303 3.874 0 0 24.251 3.822 22.756 2.523 1916 8 22.048 2.113 0 0 22.012 2.076 21.006 1.267 1916 9 15.774 -0.739 0 0 15.778 -0.735 15.985 -0.331 1916 10 9.774 -0.944 0 0 9.805 -0.913 10.136 -0.386 1916 11 3.483 -1.552 0 0 3.516 -1.520 4.754 -0.085 1916 12 -4.081 -2.895 0 0 -4.044 -2.859 -2.925 -1.543 1917 1 -6.523 -2.082 0 0 -6.474 -2.033 -5.540 -0.903 1917 2 -8.918 -4.699 0 0 -8.878 -4.659 -8.557 -4.142 1917 3 0.150 -0.277 0 0 0.154 -0.274 0.534 0.304 1917 4 5.127 -1.776 0 0 5.101 -1.802 5.332 -1.375 1917 5 9.116 -3.678 0 0 9.082 -3.712 8.340 -4.258 1917 6 17.002 -0.963 0 0 16.960 -1.005 15.735 -2.033 1917 7 21.263 0.833 0 0 21.211 0.781 19.988 -0.245 1917 8 19.958 0.022 0 0 19.922 -0.014 18.989 -0.750 1917 9 14.195 -2.318 0 0 14.199 -2.314 14.472 -1.844 1917 10 6.535 -4.183 0 0 6.567 -4.152 6.836 -3.686 1917 11 1.125 -3.911 0 0 1.158 -3.878 2.493 -2.346 1917 12 -6.650 -5.465 0 0 -6.613 -5.428 -6.552 -5.170 1918 1 -11.689 -7.248 0 0 -11.640 -7.199 -11.140 -6.502 1918 2 -5.334 -1.115 0 0 -5.294 -1.076 -5.891 -1.476 1918 3 1.384 0.957 0 0 1.387 0.960 1.749 1.518 1918 4 6.783 -0.120 0 0 6.757 -0.146 6.291 -0.415 1918 5 16.259 3.465 0 0 16.225 3.430 14.679 2.082 1918 6 17.537 -0.428 0 0 17.495 -0.470 16.242 -1.526 1918 7 20.347 -0.082 0 0 20.295 -0.134 19.152 -1.081 1918 8 21.971 2.035 0 0 21.934 1.999 21.267 1.528 1918 9 12.975 -3.538 0 0 12.979 -3.534 12.827 -3.489 1918 10 11.011 0.293 0 0 11.042 0.324 11.665 1.143 1918 11 4.784 -0.251 0 0 4.817 -0.219 6.126 1.287 1918 12 1.000 2.185 0 0 1.037 2.222 1.292 2.674 1919 1 -1.214 3.227 0 0 -1.165 3.276 -1.461 3.177 1919 2 -2.371 1.847 0 0 -2.332 1.887 -2.568 1.847 1919 3 1.855 1.428 0 0 1.858 1.431 1.492 1.262 1919 4 6.395 -0.508 0 0 6.369 -0.534 6.116 -0.590 1919 5 NaN NaN NaN NaN NaN NaN 11.558 -1.040 1919 6 22.315 4.350 0 0 22.273 4.308 21.028 3.260 1919 7 22.155 1.725 0 0 22.103 1.673 20.949 0.716 1919 8 19.823 -0.113 0 0 19.786 -0.149 18.646 -1.093 1919 9 16.892 0.379 0 0 16.896 0.383 17.101 0.784 1919 10 11.762 1.043 0 0 11.793 1.075 12.634 2.112 1919 11 2.880 -2.155 0 0 2.913 -2.123 4.244 -0.595 1919 12 -5.577 -4.392 0 0 -5.541 -4.356 -5.388 -4.006 1920 1 -10.408 -5.967 0 0 -10.359 -5.918 -9.814 -5.176 1920 2 -6.724 -2.506 0 0 -6.684 -2.466 -7.111 -2.696 1920 3 1.239 0.812 0 0 1.242 0.815 1.452 1.221 1920 4 4.608 -2.295 0 0 4.582 -2.321 4.378 -2.329 1920 5 11.457 -1.338 0 0 11.422 -1.372 11.154 -1.443 1920 6 19.163 1.198 0 0 19.121 1.156 17.777 0.009 1920 7 19.088 -1.341 1 0 NaN NaN 17.985 -2.248 1920 8 NaN NaN NaN NaN NaN NaN 19.400 -0.339 1920 9 17.353 0.841 0 0 17.357 0.845 17.028 0.712 1920 10 13.698 2.980 0 0 13.729 3.011 13.638 3.116 1920 11 2.923 -2.112 0 0 2.956 -2.080 4.092 -0.747 1920 12 0.012 1.197 0 0 0.048 1.234 -0.132 1.250 1921 1 -1.990 2.451 0 0 -1.941 2.500 -2.043 2.595 1921 2 -1.961 2.258 0 0 -1.921 2.298 -2.404 2.011 1921 3 4.643 4.216 0 0 4.646 4.219 4.792 4.561 1921 4 10.135 3.232 0 0 10.109 3.206 10.113 3.407 1921 5 15.194 2.400 0 0 15.160 2.366 13.507 0.910 1921 6 20.315 2.350 0 0 20.273 2.308 18.925 1.156 1921 7 24.548 4.119 0 0 24.496 4.067 23.391 3.158 1921 8 20.323 0.388 1 0 NaN NaN 18.827 -0.912 1921 9 19.500 2.987 0 0 19.504 2.991 19.193 2.877 1921 10 10.452 -0.267 0 0 10.483 -0.236 10.623 0.101 1921 11 2.855 -2.181 0 0 2.888 -2.148 4.166 -0.673 1921 12 -0.515 0.671 1 0 NaN NaN -1.468 -0.086 1922 1 -5.272 -0.831 0 0 -5.223 -0.782 -5.451 -0.813 1922 2 -2.638 1.581 0 0 -2.598 1.621 -3.104 1.311 1922 3 1.547 1.119 0 0 1.550 1.123 1.343 1.112 1922 4 7.637 0.734 0 0 7.611 0.708 7.271 0.564 1922 5 15.895 3.101 0 0 15.861 3.067 14.390 1.792 1922 6 18.752 0.787 0 0 18.710 0.745 17.898 0.130 1922 7 20.958 0.528 0 0 20.906 0.476 19.583 -0.650 1922 8 NaN NaN NaN NaN NaN NaN 18.943 -0.796 1922 9 NaN NaN NaN NaN NaN NaN 17.522 1.206 1922 10 NaN NaN NaN NaN NaN NaN 11.240 0.718 1922 11 NaN NaN NaN NaN NaN NaN 6.134 1.295 1922 12 NaN NaN NaN NaN NaN NaN -1.956 -0.575 1923 1 NaN NaN NaN NaN NaN NaN -4.245 0.393 1923 2 NaN NaN NaN NaN NaN NaN -7.408 -2.993 1923 3 NaN NaN NaN NaN NaN NaN -1.594 -1.825 1923 4 NaN NaN NaN NaN NaN NaN 5.454 -1.252 1923 5 NaN NaN NaN NaN NaN NaN 10.501 -2.097 1923 6 NaN NaN NaN NaN NaN NaN 19.000 1.232 1923 7 NaN NaN NaN NaN NaN NaN 19.520 -0.713 1923 8 NaN NaN NaN NaN NaN NaN 18.515 -1.224 1923 9 NaN NaN NaN NaN NaN NaN 16.600 0.284 1923 10 NaN NaN NaN NaN NaN NaN 9.402 -1.120 1923 11 NaN NaN NaN NaN NaN NaN 4.970 0.131 1923 12 NaN NaN NaN NaN NaN NaN 2.880 4.262 1924 1 NaN NaN NaN NaN NaN NaN -5.485 -0.847 1924 2 NaN NaN NaN NaN NaN NaN -6.349 -1.934 1924 3 NaN NaN NaN NaN NaN NaN -0.575 -0.806 1924 4 NaN NaN NaN NaN NaN NaN 5.970 -0.737 1924 5 NaN NaN NaN NaN NaN NaN 8.903 -3.695 1924 6 NaN NaN NaN NaN NaN NaN 16.519 -1.249 1924 7 NaN NaN NaN NaN NaN NaN 18.490 -1.743 1924 8 NaN NaN NaN NaN NaN NaN 18.686 -1.053 1924 9 NaN NaN NaN NaN NaN NaN 14.021 -2.295 1924 10 NaN NaN NaN NaN NaN NaN 11.278 0.756 1924 11 NaN NaN NaN NaN NaN NaN 4.773 -0.066 1924 12 NaN NaN NaN NaN NaN NaN -4.075 -2.693 1925 1 NaN NaN NaN NaN NaN NaN -6.362 -1.724 1925 2 NaN NaN NaN NaN NaN NaN -2.142 2.273 1925 3 NaN NaN NaN NaN NaN NaN 1.659 1.428 1925 4 NaN NaN NaN NaN NaN NaN 8.236 1.530 1925 5 NaN NaN NaN NaN NaN NaN 9.410 -3.188 1925 6 NaN NaN NaN NaN NaN NaN 19.258 1.490 1925 7 NaN NaN NaN NaN NaN NaN 19.104 -1.129 1925 8 NaN NaN NaN NaN NaN NaN 19.473 -0.266 1925 9 NaN NaN NaN NaN NaN NaN 17.395 1.079 1925 10 NaN NaN NaN NaN NaN NaN 6.022 -4.500 1925 11 NaN NaN NaN NaN NaN NaN 3.745 -1.094 1925 12 NaN NaN NaN NaN NaN NaN -2.787 -1.405 1926 1 -5.452 -1.011 0 2 -5.666 -1.225 -4.488 0.150 1926 2 -4.879 -0.660 0 0 -5.053 -0.835 -5.435 -1.020 1926 3 -3.213 -3.640 0 0 -3.228 -3.656 -3.105 -3.336 1926 4 4.720 -2.183 0 0 4.834 -2.069 3.221 -3.485 1926 5 11.877 -0.917 0 0 12.027 -0.767 11.076 -1.522 1926 6 17.033 -0.932 0 0 17.218 -0.747 15.256 -2.512 1926 7 21.676 1.246 0 0 21.903 1.473 19.437 -0.796 1926 8 21.160 1.224 0 0 21.319 1.383 19.880 0.141 1926 9 16.987 0.474 0 0 16.969 0.457 16.150 -0.166 1926 10 8.913 -1.806 0 0 8.777 -1.941 9.505 -1.017 1926 11 3.043 -1.992 0 0 2.900 -2.136 4.278 -0.561 1926 12 NaN NaN NaN NaN NaN NaN -3.978 -2.597 1927 1 -6.158 -1.717 0 0 -6.373 -1.932 -5.450 -0.812 1927 2 -1.800 2.418 0 0 -1.975 2.244 -1.938 2.478 1927 3 2.585 2.158 0 0 2.570 2.143 2.498 2.268 1927 4 6.143 -0.760 0 0 6.257 -0.646 6.589 -0.117 1927 5 12.482 -0.312 0 0 12.632 -0.162 11.386 -1.212 1927 6 15.760 -2.205 0 0 15.944 -2.020 15.016 -2.752 1927 7 20.258 -0.172 0 0 20.485 0.056 19.285 -0.948 1927 8 17.669 -2.266 0 0 17.828 -2.107 16.748 -2.991 1927 9 18.142 1.629 0 0 18.124 1.612 17.784 1.468 1927 10 11.173 0.454 0 0 11.037 0.318 12.432 1.910 1927 11 4.270 -0.766 0 0 4.127 -0.909 6.735 1.896 1927 12 NaN NaN NaN NaN NaN NaN -1.521 -0.139 1928 1 -3.873 0.568 0 0 -4.087 0.354 -3.925 0.712 1928 2 -3.847 0.372 0 0 -4.021 0.197 -4.313 0.102 1928 3 NaN NaN NaN NaN NaN NaN -0.675 -0.906 1928 4 NaN NaN NaN NaN NaN NaN 5.187 -1.520 1928 5 NaN NaN NaN NaN NaN NaN 11.225 -1.372 1928 6 NaN NaN NaN NaN NaN NaN 15.471 -2.297 1928 7 NaN NaN NaN NaN NaN NaN 20.059 -0.174 1928 8 NaN NaN NaN NaN NaN NaN 20.492 0.752 1928 9 NaN NaN NaN NaN NaN NaN 14.347 -1.969 1928 10 NaN NaN NaN NaN NaN NaN 11.775 1.253 1928 11 NaN NaN NaN NaN NaN NaN 5.888 1.049 1928 12 NaN NaN NaN NaN NaN NaN 0.238 1.620 1929 1 NaN NaN NaN NaN NaN NaN -5.793 -1.156 1929 2 NaN NaN NaN NaN NaN NaN -6.420 -2.005