% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 7001 % Primary Name: FITZROY HARBOUR % Record Type: TAVG % Country: Canada % Latitude: 45.47000 +/- 0.00500 % Longitude: -76.22000 +/- 0.00500 % Elevation (m): 74.00 +/- 0.50 % # of Months: 86 % % IDs: ghcnd - CA006102417 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: c2548d6bbff0153f62e5e73195b5ab07 % Raw Data Hash: d36d10406da26284421a3e907e02abb0 % Adj Data Hash: 804ba85f3fc0934cad01704c2fc2a5c3 % % 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 1876 2 NaN NaN NaN NaN NaN NaN -11.935 -0.859 1876 3 NaN NaN NaN NaN NaN NaN -6.846 -2.414 1876 4 NaN NaN NaN NaN NaN NaN 1.751 -2.140 1876 5 NaN NaN NaN NaN NaN NaN 9.270 -1.925 1876 6 NaN NaN NaN NaN NaN NaN 17.913 1.446 1876 7 NaN NaN NaN NaN NaN NaN 18.971 0.061 1876 8 NaN NaN NaN NaN NaN NaN 18.833 1.261 1876 9 NaN NaN NaN NaN NaN NaN 11.399 -1.497 1876 10 NaN NaN NaN NaN NaN NaN 3.823 -2.980 1876 11 NaN NaN NaN NaN NaN NaN 0.680 0.625 1876 12 NaN NaN NaN NaN NaN NaN -15.325 -6.065 1877 1 NaN NaN NaN NaN NaN NaN -14.964 -2.336 1877 2 -4.439 5.267 0 0 -4.439 5.267 -5.298 5.778 1877 3 -5.555 -2.493 0 0 -5.555 -2.493 -6.944 -2.512 1877 4 NaN NaN NaN NaN NaN NaN 4.957 1.066 1877 5 NaN NaN NaN NaN NaN NaN 11.243 0.048 1877 6 NaN NaN NaN NaN NaN NaN 15.957 -0.510 1877 7 21.679 1.399 0 0 21.679 1.399 19.486 0.576 1877 8 21.239 2.296 0 0 21.239 2.296 19.080 1.508 1877 9 15.252 0.986 0 0 15.252 0.986 13.706 0.811 1877 10 6.907 -1.266 0 0 6.907 -1.266 6.092 -0.710 1877 11 0.549 -0.877 1 0 NaN NaN 0.878 0.822 1877 12 -2.602 5.288 0 0 -2.602 5.288 -4.735 4.526 1878 1 NaN NaN NaN NaN NaN NaN -11.535 1.093 1878 2 NaN NaN NaN NaN NaN NaN -7.349 3.727 1878 3 1.052 4.114 1 0 NaN NaN -0.227 4.205 1878 4 10.689 5.429 0 0 10.689 5.429 8.754 4.864 1878 5 12.134 -0.431 0 0 12.134 -0.431 10.399 -0.796 1878 6 17.936 0.099 0 0 17.936 0.099 15.690 -0.776 1878 7 22.555 2.275 0 0 22.555 2.275 20.523 1.613 1878 8 20.491 1.549 0 0 20.491 1.549 18.358 0.786 1878 9 16.226 1.961 0 0 16.226 1.961 13.860 0.964 1878 10 9.433 1.260 0 0 9.433 1.260 8.046 1.243 1878 11 0.771 -0.655 0 0 0.771 -0.655 0.142 0.087 1878 12 -8.925 -1.035 0 0 -8.925 -1.035 -10.347 -1.087 1879 1 NaN NaN NaN NaN NaN NaN -14.035 -1.406 1879 2 NaN NaN NaN NaN NaN NaN -15.730 -4.654 1879 3 -5.892 -2.830 1 0 NaN NaN -6.943 -2.511 1879 4 3.619 -1.641 0 0 3.619 -1.641 1.881 -2.009 1879 5 13.384 0.819 0 0 13.384 0.819 11.474 0.279 1879 6 17.211 -0.626 0 0 17.211 -0.626 15.186 -1.281 1879 7 20.458 0.178 0 0 20.458 0.178 18.744 -0.166 1879 8 18.579 -0.364 0 0 18.579 -0.364 16.412 -1.160 1879 9 13.237 -1.028 0 0 13.237 -1.028 11.255 -1.640 1879 10 12.708 4.536 1 0 NaN NaN 10.782 3.980 1879 11 -1.042 -2.468 0 0 -1.042 -2.468 -1.273 -1.329 1879 12 NaN NaN NaN NaN NaN NaN -12.789 -3.529 1880 1 NaN NaN NaN NaN NaN NaN -7.361 5.267 1880 2 NaN NaN NaN NaN NaN NaN -9.345 1.731 1880 3 -6.096 -3.033 0 0 -6.096 -3.033 -7.293 -2.861 1880 4 4.212 -1.049 0 0 4.212 -1.049 2.552 -1.338 1880 5 15.580 3.015 0 0 15.580 3.015 13.436 2.242 1880 6 18.737 0.900 0 0 18.737 0.900 16.732 0.265 1880 7 20.022 -0.258 0 0 20.022 -0.258 18.187 -0.723 1880 8 18.505 -0.437 0 0 18.505 -0.437 16.582 -0.990 1880 9 15.585 1.320 1 0 NaN NaN 13.190 0.294 1880 10 6.370 -1.803 0 0 6.370 -1.803 5.243 -1.559 1880 11 -2.847 -4.273 0 0 -2.847 -4.273 -3.195 -3.251 1880 12 -9.569 -1.679 1 0 NaN NaN -12.383 -3.122 1881 1 NaN NaN NaN NaN NaN NaN -16.159 -3.531 1881 2 NaN NaN NaN NaN NaN NaN -11.364 -0.288 1881 3 NaN NaN NaN NaN NaN NaN -2.708 1.724 1881 4 NaN NaN NaN NaN NaN NaN 2.017 -1.874 1881 5 15.313 2.748 0 0 15.313 2.748 13.380 2.185 1881 6 14.946 -2.891 0 0 14.946 -2.891 13.588 -2.879 1881 7 21.155 0.875 0 0 21.155 0.875 19.411 0.501 1881 8 20.607 1.664 0 0 20.607 1.664 18.580 1.008 1881 9 18.643 4.378 0 0 18.643 4.378 16.207 3.312 1881 10 7.255 -0.918 0 0 7.255 -0.918 5.750 -1.053 1881 11 -0.735 -2.161 0 0 -0.735 -2.161 -0.921 -0.977 1881 12 -2.562 5.328 0 0 -2.562 5.328 -5.467 3.794 1882 1 NaN NaN NaN NaN NaN NaN -13.096 -0.467 1882 2 -6.826 2.880 0 0 -6.826 2.880 -7.662 3.414 1882 3 NaN NaN NaN NaN NaN NaN -5.103 -0.671 1882 4 2.379 -2.881 0 0 2.379 -2.881 1.308 -2.583 1882 5 9.803 -2.762 0 0 9.803 -2.762 8.189 -3.006 1882 6 16.910 -0.927 0 0 16.910 -0.927 14.730 -1.737 1882 7 19.719 -0.561 0 0 19.719 -0.561 17.849 -1.061 1882 8 20.378 1.436 1 0 NaN NaN 18.019 0.447 1882 9 13.992 -0.273 0 0 13.992 -0.273 12.418 -0.478 1882 10 9.675 1.502 0 0 9.675 1.502 8.217 1.414 1882 11 NaN NaN NaN NaN NaN NaN -0.754 -0.809 1882 12 -7.463 0.427 1 0 NaN NaN -10.502 -1.242 1883 1 -15.141 -3.883 1 0 NaN NaN -15.761 -3.132 1883 2 NaN NaN NaN NaN NaN NaN -13.067 -1.991 1883 3 -11.112 -8.050 0 0 -11.112 -8.050 -10.867 -6.435 1883 4 2.397 -2.864 0 0 2.397 -2.864 1.288 -2.602 1883 5 10.932 -1.633 0 0 10.932 -1.633 8.498 -2.697 1883 6 19.227 1.390 0 0 19.227 1.390 16.668 0.201 1883 7 18.833 -1.447 0 0 18.833 -1.447 16.934 -1.976 1883 8 18.373 -0.570 0 0 18.373 -0.570 16.092 -1.480 1883 9 12.598 -1.668 0 0 12.598 -1.668 10.602 -2.293 1883 10 6.505 -1.667 0 0 6.505 -1.667 4.768 -2.035 1883 11 0.019 -1.407 0 0 0.019 -1.407 0.237 0.181 1883 12 -9.996 -2.106 1 0 NaN NaN -11.332 -2.071 1884 1 -16.865 -5.606 0 0 -16.865 -5.606 -16.991 -4.363 1884 2 -11.073 -1.367 0 0 -11.073 -1.367 -11.306 -0.230 1884 3 -5.747 -2.684 0 0 -5.747 -2.684 -6.164 -1.732 1884 4 4.615 -0.645 0 0 4.615 -0.645 3.426 -0.465 1884 5 11.953 -0.612 0 0 11.953 -0.612 10.031 -1.164 1884 6 19.257 1.420 0 0 19.257 1.420 17.470 1.003 1884 7 18.381 -1.900 0 0 18.381 -1.900 16.453 -2.457 1884 8 19.406 0.464 0 0 19.406 0.464 17.417 -0.155 1884 9 15.802 1.536 0 0 15.802 1.536 14.049 1.153 1884 10 7.152 -1.021 0 0 7.152 -1.021 6.185 -0.617 1884 11 NaN NaN NaN NaN NaN NaN -1.331 -1.386 1884 12 NaN NaN NaN NaN NaN NaN -11.114 -1.854 1885 1 NaN NaN NaN NaN NaN NaN -14.275 -1.646 1885 2 -16.925 -7.219 0 0 -16.925 -7.219 -16.848 -5.772 1885 3 -11.111 -8.048 0 0 -11.111 -8.048 -12.455 -8.023 1885 4 0.121 -5.139 0 0 0.121 -5.139 1.029 -2.861 1885 5 11.228 -1.337 0 0 11.228 -1.337 10.221 -0.974 1885 6 15.631 -2.206 0 0 15.631 -2.206 14.822 -1.644 1885 7 19.514 -0.766 0 0 19.514 -0.766 18.799 -0.111 1885 8 15.360 -3.582 0 0 15.360 -3.582 14.821 -2.751 1885 9 11.252 -3.013 0 0 11.252 -3.013 10.944 -1.951 1885 10 4.545 -3.628 0 0 4.545 -3.628 5.429 -1.374 1885 11 -1.253 -2.679 0 0 -1.253 -2.679 0.390 0.335 1885 12 -7.552 0.338 1 0 NaN NaN -9.799 -0.539 1886 1 NaN NaN NaN NaN NaN NaN -13.966 -1.337 1886 2 NaN NaN NaN NaN NaN NaN -13.302 -2.226 1886 3 NaN NaN NaN NaN NaN NaN -5.442 -1.010 1886 4 NaN NaN NaN NaN NaN NaN 5.502 1.612 1886 5 NaN NaN NaN NaN NaN NaN 10.811 -0.384 1886 6 NaN NaN NaN NaN NaN NaN 14.731 -1.736 1886 7 NaN NaN NaN NaN NaN NaN 17.520 -1.390 1886 8 NaN NaN NaN NaN NaN NaN 16.671 -0.901 1886 9 NaN NaN NaN NaN NaN NaN 12.023 -0.872 1886 10 NaN NaN NaN NaN NaN NaN 6.912 0.109 1886 11 NaN NaN NaN NaN NaN NaN -0.529 -0.584 1886 12 NaN NaN NaN NaN NaN NaN -14.022 -4.761