% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 9837 % Primary Name: IKEDA BAY,BC % Record Type: TAVG % Country: Canada % Latitude: 52.28000 +/- 0.00500 % Longitude: -131.12000 +/- 0.00500 % Elevation (m): 2.00 +/- 0.05 % # of Months: 128 % % Alternate Names: IKEDA BAY % % IDs: ghcnd - CA001053645 % ghcnm - 40371101002 % % Sources: Global Historical Climatology Network - Daily % Global Historical Climatology Network - Monthly v2 % Global Historical Climatology Network - Monthly v3 % % Site Hash: cdb80401a0236ca689e91b4d6e8ad7f2 % Raw Data Hash: ea4b79f6facfe8a57ee22ce50e850023 % Adj Data Hash: e3f4ab8720ebaebba7076f5c3daca3f0 % % 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 1907 7 NaN NaN NaN NaN NaN NaN 12.870 0.255 1907 8 NaN NaN NaN NaN NaN NaN 13.109 -0.654 1907 9 NaN NaN NaN NaN NaN NaN 12.876 0.142 1907 10 NaN NaN NaN NaN NaN NaN 10.264 0.685 1907 11 NaN NaN NaN NaN NaN NaN 7.482 0.802 1907 12 NaN NaN NaN NaN NaN NaN 5.159 0.430 1908 1 NaN NaN NaN NaN NaN NaN 3.363 -0.107 1908 2 NaN NaN NaN NaN NaN NaN 3.536 -1.101 1908 3 NaN NaN NaN NaN NaN NaN 4.010 -0.597 1908 4 NaN NaN NaN NaN NaN NaN 5.335 -0.737 1908 5 NaN NaN NaN NaN NaN NaN 7.383 -0.978 1908 6 NaN NaN NaN NaN NaN NaN 9.835 -0.680 1908 7 12.884 0.053 0 0 14.390 1.559 12.433 -0.182 1908 8 13.903 -0.075 0 0 15.120 1.141 13.403 -0.360 1908 9 10.137 -2.812 0 0 10.645 -2.304 10.809 -1.925 1908 10 7.156 -2.638 0 0 6.959 -2.836 7.965 -1.614 1908 11 6.437 -0.459 0 0 5.959 -0.936 7.104 0.424 1908 12 3.413 -1.531 0 0 3.063 -1.881 4.105 -0.624 1909 1 -1.823 -5.508 0 0 -2.016 -5.701 -2.272 -5.742 1909 2 1.941 -2.912 0 0 1.741 -3.111 2.602 -2.035 1909 3 3.969 -0.853 0 0 3.810 -1.012 4.134 -0.474 1909 4 5.373 -0.914 0 0 5.550 -0.737 4.814 -1.258 1909 5 7.811 -0.765 0 0 8.565 -0.012 7.561 -0.800 1909 6 10.382 -0.348 0 0 11.674 0.944 10.004 -0.511 1909 7 12.027 -0.803 0 0 13.533 0.703 11.673 -0.942 1909 8 12.260 -1.719 0 0 13.476 -0.502 12.186 -1.577 1909 9 11.058 -1.891 0 0 11.567 -1.382 12.093 -0.641 1909 10 7.968 -1.827 0 0 7.770 -2.025 8.817 -0.762 1909 11 3.338 -3.557 0 0 2.860 -4.035 4.261 -2.419 1909 12 2.356 -2.588 0 0 2.006 -2.938 2.410 -2.319 1910 1 1.647 -2.038 0 0 1.454 -2.231 1.978 -1.492 1910 2 1.809 -3.044 0 0 1.609 -3.243 2.340 -2.297 1910 3 5.408 0.585 0 0 5.249 0.426 4.580 -0.027 1910 4 6.467 0.179 0 0 6.644 0.356 5.389 -0.683 1910 5 8.944 0.367 0 0 9.697 1.120 8.350 -0.012 1910 6 8.482 -2.248 0 0 9.774 -0.956 8.493 -2.022 1910 7 12.126 -0.705 0 0 13.632 0.801 12.031 -0.585 1910 8 NaN NaN NaN NaN NaN NaN 13.363 -0.400 1910 9 12.772 -0.177 0 0 13.280 0.331 13.103 0.369 1910 10 7.000 -2.795 0 0 6.802 -2.992 8.535 -1.044 1910 11 4.633 -2.262 0 0 4.155 -2.740 5.341 -1.339 1910 12 4.706 -0.238 0 4 4.807 -0.137 5.492 0.763 1911 1 NaN NaN NaN NaN NaN NaN -0.865 -4.335 1911 2 NaN NaN NaN NaN NaN NaN 2.838 -1.800 1911 3 NaN NaN NaN NaN NaN NaN 3.920 -0.688 1911 4 NaN NaN NaN NaN NaN NaN 3.552 -2.520 1911 5 9.100 0.523 0 0 8.883 0.306 7.639 -0.722 1911 6 11.513 0.783 0 0 11.140 0.410 9.219 -1.296 1911 7 14.114 1.283 0 0 13.679 0.848 12.245 -0.371 1911 8 16.107 2.129 0 0 15.756 1.778 14.300 0.537 1911 9 13.938 0.989 0 0 13.791 0.842 13.293 0.559 1911 10 8.771 -1.024 0 0 8.828 -0.966 9.620 0.041 1911 11 4.785 -2.110 0 0 4.923 -1.972 5.105 -1.575 1911 12 NaN NaN NaN NaN NaN NaN 4.717 -0.012 1912 1 4.712 1.027 0 0 4.767 1.082 3.409 -0.060 1912 2 5.181 0.328 0 0 5.239 0.386 6.381 1.744 1912 3 5.400 0.577 0 0 5.446 0.623 4.968 0.360 1912 4 7.332 1.044 0 0 7.281 0.993 6.451 0.378 1912 5 11.837 3.261 0 0 11.620 3.043 10.162 1.800 1912 6 14.677 3.947 0 0 14.304 3.574 10.615 0.100 1912 7 16.773 3.942 0 0 16.338 3.507 13.162 0.546 1912 8 15.548 1.570 0 0 15.197 1.219 13.461 -0.302 1912 9 14.207 1.258 0 0 14.060 1.111 13.154 0.420 1912 10 9.916 0.122 0 0 9.973 0.179 9.559 -0.020 1912 11 6.092 -0.804 0 0 6.230 -0.666 6.645 -0.035 1912 12 4.344 -0.601 0 0 4.445 -0.500 5.347 0.618 1913 1 1.574 -2.111 0 0 1.630 -2.055 1.088 -2.382 1913 2 4.096 -0.756 0 0 4.154 -0.699 4.898 0.260 1913 3 3.487 -1.336 0 0 3.533 -1.290 3.446 -1.162 1913 4 6.360 0.073 0 0 6.309 0.022 5.286 -0.786 1913 5 7.390 -1.186 0 0 7.173 -1.404 7.220 -1.142 1913 6 8.239 -2.491 0 0 7.866 -2.864 9.589 -0.926 1913 7 NaN NaN NaN NaN NaN NaN 11.889 -0.726 1913 8 NaN NaN NaN NaN NaN NaN 13.385 -0.378 1913 9 11.850 -1.099 1 0 NaN NaN 11.840 -0.894 1913 10 9.497 -0.298 0 0 9.554 -0.241 9.056 -0.524 1913 11 6.353 -0.542 0 0 6.491 -0.404 6.611 -0.069 1913 12 6.039 1.095 0 0 6.140 1.196 6.326 1.597 1914 1 3.163 -0.522 0 0 3.219 -0.467 2.848 -0.622 1914 2 5.391 0.538 0 0 5.448 0.596 5.990 1.352 1914 3 4.766 -0.057 0 0 4.812 -0.011 5.293 0.685 1914 4 7.073 0.786 0 0 7.022 0.735 6.876 0.804 1914 5 8.252 -0.325 0 0 8.034 -0.542 8.247 -0.114 1914 6 11.062 0.332 0 0 10.689 -0.041 9.930 -0.585 1914 7 12.563 -0.268 0 0 12.128 -0.703 11.125 -1.491 1914 8 13.395 -0.583 0 0 13.044 -0.934 12.502 -1.261 1914 9 NaN NaN NaN NaN NaN NaN 11.458 -1.276 1914 10 NaN NaN NaN NaN NaN NaN 11.177 1.598 1914 11 NaN NaN NaN NaN NaN NaN 6.867 0.187 1914 12 3.074 -1.870 0 0 3.175 -1.769 3.437 -1.292 1915 1 2.379 -1.306 0 0 2.435 -1.250 4.499 1.029 1915 2 4.314 -0.538 0 0 4.372 -0.481 5.727 1.090 1915 3 6.439 1.616 0 0 6.485 1.662 7.232 2.624 1915 4 8.525 2.238 0 0 8.474 2.187 7.498 1.426 1915 5 10.892 2.315 0 0 10.674 2.098 10.464 2.102 1915 6 12.812 2.082 0 0 12.439 1.709 11.132 0.618 1915 7 13.853 1.022 0 0 13.419 0.588 13.201 0.586 1915 8 15.769 1.791 0 0 15.418 1.440 14.622 0.859 1915 9 13.662 0.713 0 0 13.515 0.566 13.286 0.552 1915 10 8.144 -1.651 0 0 8.201 -1.594 9.179 -0.400 1915 11 3.962 -2.934 0 0 4.100 -2.796 5.570 -1.110 1915 12 3.192 -1.752 0 0 3.293 -1.651 4.837 0.108 1916 1 -3.444 -7.129 1 0 NaN NaN -3.020 -6.490 1916 2 2.134 -2.718 0 0 2.192 -2.661 3.631 -1.007 1916 3 2.863 -1.960 0 0 2.909 -1.914 3.361 -1.246 1916 4 6.423 0.136 0 0 6.372 0.085 5.885 -0.187 1916 5 8.982 0.406 0 0 8.765 0.188 7.674 -0.688 1916 6 12.663 1.933 0 0 12.290 1.560 10.235 -0.280 1916 7 13.500 0.669 0 0 13.065 0.234 11.321 -1.295 1916 8 NaN NaN NaN NaN NaN NaN 13.910 0.147 1916 9 12.262 -0.687 1 0 NaN NaN 12.076 -0.658 1916 10 8.415 -1.380 0 0 8.472 -1.323 9.148 -0.431 1916 11 4.437 -2.459 0 0 4.575 -2.321 5.705 -0.975 1916 12 3.013 -1.931 0 0 3.114 -1.830 3.193 -1.536 1917 1 1.384 -2.301 0 0 1.440 -2.246 1.429 -2.041 1917 2 1.343 -3.510 0 0 1.400 -3.452 2.350 -2.288 1917 3 NaN NaN NaN NaN NaN NaN 2.677 -1.930 1917 4 5.723 -0.564 0 0 5.672 -0.615 5.401 -0.671 1917 5 9.035 0.459 0 0 8.818 0.241 7.974 -0.387 1917 6 12.100 1.370 0 0 11.727 0.997 9.745 -0.770 1917 7 13.200 0.369 0 0 12.765 -0.066 11.270 -1.346 1917 8 14.000 0.022 0 0 13.649 -0.329 13.401 -0.362 1917 9 11.715 -1.234 0 0 11.568 -1.381 12.177 -0.556 1917 10 8.365 -1.430 0 0 8.422 -1.373 9.262 -0.317 1917 11 7.073 0.178 0 0 7.211 0.316 8.484 1.804 1917 12 3.008 -1.936 0 0 3.109 -1.835 2.649 -2.080 1918 1 4.827 1.142 0 0 4.883 1.198 4.766 1.296 1918 2 1.941 -2.912 0 0 1.999 -2.854 3.315 -1.323 1918 3 2.755 -2.068 0 0 2.801 -2.022 2.626 -1.982 1918 4 4.148 -2.139 0 0 4.097 -2.190 4.749 -1.323 1918 5 7.837 -0.739 0 0 7.620 -0.957 7.244 -1.117 1918 6 11.262 0.532 0 0 10.889 0.159 9.937 -0.578 1918 7 14.098 1.268 0 0 13.664 0.833 12.753 0.138 1918 8 14.418 0.440 0 0 14.067 0.088 13.205 -0.558 1918 9 12.818 -0.131 0 0 12.671 -0.278 13.347 0.614 1918 10 9.690 -0.104 0 0 9.747 -0.047 10.175 0.596 1918 11 5.693 -1.202 0 0 5.831 -1.064 6.749 0.069 1918 12 4.271 -0.673 0 0 4.372 -0.572 4.846 0.117 1919 1 4.295 0.610 0 0 4.351 0.666 4.486 1.016 1919 2 2.891 -1.962 0 0 2.949 -1.904 4.050 -0.587 1919 3 3.147 -1.676 0 0 3.193 -1.630 3.085 -1.522 1919 4 5.700 -0.587 0 0 5.649 -0.638 5.900 -0.173 1919 5 7.461 -1.115 0 0 7.244 -1.333 6.923 -1.438 1919 6 9.750 -0.980 0 0 9.377 -1.353 8.720 -1.794 1919 7 13.174 0.343 0 0 12.739 -0.091 11.523 -1.092 1919 8 14.474 0.496 0 0 14.123 0.145 13.526 -0.237 1919 9 12.980 0.031 0 0 12.833 -0.116 13.153 0.419 1919 10 9.332 -0.462 0 0 9.389 -0.405 9.071 -0.509 1919 11 5.948 -0.947 0 0 6.086 -0.809 5.918 -0.762 1919 12 4.802 -0.143 0 0 4.903 -0.041 4.081 -0.648 1920 1 NaN NaN NaN NaN NaN NaN 2.071 -1.399 1920 2 NaN NaN NaN NaN NaN NaN 5.391 0.754 1920 3 NaN NaN NaN NaN NaN NaN 3.756 -0.852 1920 4 NaN NaN NaN NaN NaN NaN 4.136 -1.937 1920 5 NaN NaN NaN NaN NaN NaN 6.632 -1.729 1920 6 12.000 1.270 0 0 11.627 0.897 9.694 -0.821 1920 7 14.750 1.919 0 0 14.315 1.484 12.643 0.028 1920 8 15.048 1.070 0 0 14.697 0.719 13.407 -0.356 1920 9 NaN NaN NaN NaN NaN NaN 11.416 -1.318 1920 10 NaN NaN NaN NaN NaN NaN 8.338 -1.241 1920 11 NaN NaN NaN NaN NaN NaN 6.745 0.066 1920 12 NaN NaN NaN NaN NaN NaN 5.233 0.504 1921 1 NaN NaN NaN NaN NaN NaN 2.547 -0.923 1921 2 NaN NaN NaN NaN NaN NaN 4.829 0.191 1921 3 NaN NaN NaN NaN NaN NaN 3.799 -0.808 1921 4 NaN NaN NaN NaN NaN NaN 5.354 -0.718 1921 5 NaN NaN NaN NaN NaN NaN 7.740 -0.621 1921 6 NaN NaN NaN NaN NaN NaN 10.053 -0.461 1921 7 NaN NaN NaN NaN NaN NaN 11.316 -1.299 1921 8 NaN NaN NaN NaN NaN NaN 13.095 -0.668