% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 6993 % Primary Name: CHARLINCH % Record Type: TAVG % Country: Canada % Latitude: 45.45000 +/- 0.00500 % Longitude: -79.25000 +/- 0.00500 % Elevation (m): 326.00 +/- 0.50 % # of Months: 76 % % IDs: ghcnd - CA006111375 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: cf366a38a07cea7658ecbfdd7506586e % Raw Data Hash: b62dd38aba12db0df98547808e9247ad % Adj Data Hash: 365b117ff80ddf5790d5736cccd4c3b9 % % 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 1886 1 NaN NaN NaN NaN NaN NaN -13.948 -1.840 1886 2 NaN NaN NaN NaN NaN NaN -12.749 -2.072 1886 3 NaN NaN NaN NaN NaN NaN -4.960 -0.518 1886 4 NaN NaN NaN NaN NaN NaN 5.543 1.727 1886 5 NaN NaN NaN NaN NaN NaN 10.311 -0.685 1886 6 NaN NaN NaN NaN NaN NaN 14.929 -1.340 1886 7 NaN NaN NaN NaN NaN NaN 17.456 -1.361 1886 8 NaN NaN NaN NaN NaN NaN 16.650 -0.982 1886 9 NaN NaN NaN NaN NaN NaN 12.261 -0.775 1886 10 NaN NaN NaN NaN NaN NaN 7.133 0.172 1886 11 NaN NaN NaN NaN NaN NaN -0.900 -0.991 1886 12 NaN NaN NaN NaN NaN NaN -13.054 -4.319 1887 1 -15.787 -3.365 0 0 -15.787 -3.365 -16.206 -4.098 1887 2 -11.593 -0.602 0 0 -11.593 -0.602 -12.052 -1.375 1887 3 -8.845 -4.089 0 0 -8.845 -4.089 -8.861 -4.418 1887 4 0.987 -2.515 0 0 0.987 -2.515 1.662 -2.154 1887 5 15.116 4.434 0 0 15.116 4.434 14.640 3.644 1887 6 16.970 1.014 0 0 16.970 1.014 17.039 0.770 1887 7 NaN NaN NaN NaN NaN NaN 20.783 1.966 1887 8 NaN NaN NaN NaN NaN NaN 16.113 -1.519 1887 9 9.493 -3.228 0 0 9.493 -3.228 10.508 -2.527 1887 10 4.282 -2.364 0 0 4.282 -2.364 4.775 -2.186 1887 11 -2.787 -2.564 0 0 -2.787 -2.564 -1.616 -1.708 1887 12 -7.690 1.358 0 0 -7.690 1.358 -8.665 0.070 1888 1 -16.715 -4.293 0 0 -16.715 -4.293 -17.320 -5.212 1888 2 -12.000 -1.009 0 0 -12.000 -1.009 -12.044 -1.368 1888 3 -9.511 -4.755 0 0 -9.511 -4.755 -9.219 -4.777 1888 4 -0.677 -4.178 0 0 -0.677 -4.178 0.644 -3.172 1888 5 9.626 -1.056 0 0 9.626 -1.056 9.137 -1.859 1888 6 16.875 0.919 0 0 16.875 0.919 16.824 0.554 1888 7 16.882 -1.621 0 0 16.882 -1.621 17.599 -1.218 1888 8 15.476 -1.842 0 0 15.476 -1.842 16.135 -1.497 1888 9 10.878 -1.843 0 0 10.878 -1.843 11.286 -1.750 1888 10 2.692 -3.954 0 0 2.692 -3.954 3.433 -3.527 1888 11 -1.838 -1.615 0 0 -1.838 -1.615 -0.702 -0.793 1888 12 -6.776 2.273 0 0 -6.776 2.273 -7.706 1.029 1889 1 -6.698 5.724 0 0 -6.698 5.724 -7.926 4.182 1889 2 -14.118 -3.127 0 0 -14.118 -3.127 -14.510 -3.834 1889 3 -2.463 2.293 0 0 -2.463 2.293 -2.319 2.123 1889 4 4.481 0.980 0 0 4.481 0.980 5.056 1.241 1889 5 10.866 0.184 0 0 10.866 0.184 11.149 0.153 1889 6 13.816 -2.139 0 0 13.816 -2.139 13.574 -2.696 1889 7 18.232 -0.271 0 0 18.232 -0.271 18.688 -0.129 1889 8 15.274 -2.044 0 0 15.274 -2.044 16.142 -1.490 1889 9 12.995 0.274 0 0 12.995 0.274 13.859 0.824 1889 10 2.000 -4.646 0 0 2.000 -4.646 2.862 -4.099 1889 11 -0.293 -0.070 1 0 NaN NaN 0.878 0.787 1889 12 -4.056 4.992 0 0 -4.056 4.992 -5.434 3.301 1890 1 -8.705 3.717 0 0 -8.705 3.717 -9.515 2.593 1890 2 -8.620 2.371 0 0 -8.620 2.371 -8.930 1.746 1890 3 -7.963 -3.207 0 0 -7.963 -3.207 -7.069 -2.627 1890 4 2.057 -1.444 0 0 2.057 -1.444 3.067 -0.748 1890 5 NaN NaN NaN NaN NaN NaN 7.793 -3.203 1890 6 17.071 1.115 0 0 17.071 1.115 17.227 0.957 1890 7 17.360 -1.143 0 0 17.360 -1.143 18.358 -0.459 1890 8 15.019 -2.299 0 0 15.019 -2.299 15.821 -1.811 1890 9 11.773 -0.948 0 0 11.773 -0.948 12.005 -1.031 1890 10 6.192 -0.454 0 0 6.192 -0.454 6.928 -0.032 1890 11 -1.919 -1.696 0 0 -1.919 -1.696 -0.443 -0.534 1890 12 -12.332 -3.283 0 0 -12.332 -3.283 -12.594 -3.859 1891 1 -10.500 1.922 0 0 -10.500 1.922 -11.236 0.872 1891 2 -9.125 1.866 0 0 -9.125 1.866 -9.527 1.150 1891 3 -6.404 -1.648 0 0 -6.404 -1.648 -6.004 -1.561 1891 4 2.846 -0.655 1 0 NaN NaN 3.846 0.031 1891 5 9.135 -1.547 0 0 9.135 -1.547 9.186 -1.810 1891 6 16.637 0.681 0 0 16.637 0.681 16.693 0.424 1891 7 15.470 -3.033 0 0 15.470 -3.033 16.261 -2.556 1891 8 NaN NaN NaN NaN NaN NaN 16.659 -0.973 1891 9 14.338 1.617 0 0 14.338 1.617 14.719 1.683 1891 10 5.034 -1.612 1 0 NaN NaN 6.134 -0.826 1891 11 -1.528 -1.305 0 0 -1.528 -1.305 -0.033 -0.125 1891 12 -3.495 5.554 0 0 -3.495 5.554 -4.048 4.686 1892 1 -13.197 -0.775 0 0 -13.197 -0.775 -13.054 -0.946 1892 2 -9.516 1.475 1 0 NaN NaN -9.677 0.999 1892 3 -7.048 -2.292 0 0 -7.048 -2.292 -6.297 -1.855 1892 4 2.023 -1.478 0 0 2.023 -1.478 2.647 -1.169 1892 5 9.237 -1.445 0 0 9.237 -1.445 9.600 -1.396 1892 6 16.657 0.701 0 0 16.657 0.701 16.683 0.413 1892 7 17.137 -1.366 0 0 17.137 -1.366 18.372 -0.445 1892 8 16.663 -0.655 0 0 16.663 -0.655 17.839 0.207 1892 9 12.709 -0.012 0 0 12.709 -0.012 12.878 -0.158 1892 10 5.281 -1.366 0 0 5.281 -1.366 6.216 -0.744 1892 11 -2.166 -1.943 0 0 -2.166 -1.943 -1.481 -1.572 1892 12 -10.908 -1.859 0 0 -10.908 -1.859 -10.880 -2.146 1893 1 -17.652 -5.230 0 0 -17.652 -5.230 -17.178 -5.070 1893 2 -14.496 -3.506 0 0 -14.496 -3.506 -13.937 -3.261 1893 3 -7.202 -2.445 0 0 -7.202 -2.445 -6.398 -1.956 1893 4 1.153 -2.348 0 0 1.153 -2.348 1.585 -2.230 1893 5 9.094 -1.589 0 0 9.094 -1.589 9.436 -1.560 1893 6 18.295 2.339 0 0 18.295 2.339 18.278 2.008 1893 7 17.229 -1.274 0 0 17.229 -1.274 18.219 -0.598 1893 8 15.721 -1.597 0 0 15.721 -1.597 17.169 -0.463 1893 9 NaN NaN NaN NaN NaN NaN 11.114 -1.922 1893 10 NaN NaN NaN NaN NaN NaN 7.772 0.812 1893 11 NaN NaN NaN NaN NaN NaN 0.447 0.356 1893 12 NaN NaN NaN NaN NaN NaN -12.788 -4.054 1894 1 NaN NaN NaN NaN NaN NaN -10.605 1.502 1894 2 NaN NaN NaN NaN NaN NaN -12.378 -1.701 1894 3 NaN NaN NaN NaN NaN NaN -1.407 3.035 1894 4 NaN NaN NaN NaN NaN NaN 5.576 1.760 1894 5 NaN NaN NaN NaN NaN NaN 10.525 -0.471 1894 6 NaN NaN NaN NaN NaN NaN 16.929 0.659 1894 7 NaN NaN NaN NaN NaN NaN 18.725 -0.092 1894 8 NaN NaN NaN NaN NaN NaN 15.547 -2.085