% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8751 % Primary Name: HARDY ISLAND % Record Type: TAVG % Country: Canada % Latitude: 49.73000 +/- 0.00500 % Longitude: -124.18000 +/- 0.00500 % Elevation (m): 26.00 +/- 0.50 % # of Months: 66 % % IDs: ghcnd - CA00104LC3N % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 78841e43c01459c309d1d2694275cbe9 % Raw Data Hash: 273fce4bda043d0747ff98495ebc4df3 % Adj Data Hash: 7dbeaf148abfa9b3c560782fa7683d62 % % 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 1986 1 NaN NaN NaN NaN NaN NaN 3.949 2.747 1986 2 NaN NaN NaN NaN NaN NaN 3.161 -0.099 1986 3 NaN NaN NaN NaN NaN NaN 6.217 2.020 1986 4 NaN NaN NaN NaN NaN NaN 6.035 -0.700 1986 5 NaN NaN NaN NaN NaN NaN 10.030 -0.267 1986 6 NaN NaN NaN NaN NaN NaN 13.337 0.380 1986 7 NaN NaN NaN NaN NaN NaN 13.680 -1.208 1986 8 NaN NaN NaN NaN NaN NaN 16.220 1.610 1986 9 NaN NaN NaN NaN NaN NaN 12.488 0.051 1986 10 NaN NaN NaN NaN NaN NaN 9.675 1.389 1986 11 NaN NaN NaN NaN NaN NaN 4.660 0.432 1986 12 NaN NaN NaN NaN NaN NaN 3.505 1.371 1987 1 4.574 1.976 1 0 NaN NaN 2.986 1.784 1987 2 NaN NaN NaN NaN NaN NaN 5.934 2.674 1987 3 NaN NaN NaN NaN NaN NaN 5.984 1.787 1987 4 9.382 1.250 0 0 9.382 1.250 7.690 0.954 1987 5 12.315 0.622 0 0 12.315 0.622 10.995 0.698 1987 6 15.286 0.932 1 0 NaN NaN 13.275 0.318 1987 7 NaN NaN NaN NaN NaN NaN 14.815 -0.073 1987 8 NaN NaN NaN NaN NaN NaN 15.286 0.676 1987 9 NaN NaN NaN NaN NaN NaN 13.918 1.481 1987 10 NaN NaN NaN NaN NaN NaN 9.798 1.512 1987 11 6.597 0.972 1 0 NaN NaN 6.323 2.094 1987 12 4.077 0.546 0 0 4.077 0.546 2.090 -0.044 1988 1 3.955 1.357 0 0 3.955 1.357 2.038 0.836 1988 2 4.540 -0.117 1 0 NaN NaN 5.197 1.937 1988 3 5.919 0.326 0 0 5.919 0.326 4.904 0.707 1988 4 9.172 1.040 0 0 9.172 1.040 7.477 0.742 1988 5 11.416 -0.276 0 0 11.416 -0.276 10.222 -0.075 1988 6 14.692 0.339 1 0 NaN NaN 12.162 -0.795 1988 7 16.808 0.523 0 0 16.808 0.523 14.745 -0.143 1988 8 17.038 1.031 0 0 17.038 1.031 14.985 0.375 1988 9 13.846 0.013 0 0 13.846 0.013 12.759 0.322 1988 10 10.437 0.754 0 0 10.437 0.754 9.818 1.532 1988 11 6.043 0.418 0 0 6.043 0.418 4.925 0.696 1988 12 4.667 1.136 0 0 4.667 1.136 3.304 1.170 1989 1 3.388 0.790 1 0 NaN NaN 1.767 0.565 1989 2 0.795 -3.861 0 0 0.795 -3.861 0.427 -2.833 1989 3 5.307 -0.286 0 0 5.307 -0.286 3.542 -0.655 1989 4 NaN NaN NaN NaN NaN NaN 8.552 1.816 1989 5 12.377 0.684 0 0 12.377 0.684 10.905 0.608 1989 6 15.886 1.533 0 0 15.886 1.533 13.846 0.888 1989 7 16.981 0.696 0 0 16.981 0.696 14.582 -0.306 1989 8 NaN NaN NaN NaN NaN NaN 14.650 0.040 1989 9 14.716 0.882 0 0 14.716 0.882 14.183 1.746 1989 10 10.163 0.481 0 0 10.163 0.481 8.862 0.576 1989 11 6.730 1.105 0 0 6.730 1.105 5.175 0.946 1989 12 5.897 2.367 1 0 NaN NaN 4.359 2.224 1990 1 3.950 1.352 0 0 3.950 1.352 2.745 1.543 1990 2 2.435 -2.221 0 0 2.435 -2.221 2.545 -0.715 1990 3 6.339 0.746 0 0 6.339 0.746 5.184 0.987 1990 4 10.635 2.504 0 0 10.635 2.504 8.317 1.581 1990 5 NaN NaN NaN NaN NaN NaN 10.792 0.496 1990 6 14.821 0.468 0 0 14.821 0.468 12.807 -0.150 1990 7 18.524 2.239 0 0 18.524 2.239 16.575 1.687 1990 8 18.214 2.208 0 0 18.214 2.208 16.378 1.767 1990 9 15.697 1.863 0 0 15.697 1.863 14.654 2.217 1990 10 9.079 -0.603 0 0 9.079 -0.603 7.585 -0.701 1990 11 6.793 1.168 0 0 6.793 1.168 4.673 0.445 1990 12 1.380 -2.150 0 0 1.380 -2.150 0.176 -1.958 1991 1 2.100 -0.498 0 0 2.100 -0.498 1.017 -0.185 1991 2 6.693 2.037 0 0 6.693 2.037 6.569 3.308 1991 3 4.229 -1.364 0 0 4.229 -1.364 3.623 -0.574 1991 4 8.352 0.221 0 0 8.352 0.221 6.839 0.104 1991 5 12.699 1.007 1 0 NaN NaN 10.379 0.082 1991 6 14.422 0.069 1 0 NaN NaN 12.225 -0.732 1991 7 17.483 1.199 0 0 17.483 1.199 14.931 0.043 1991 8 17.808 1.802 0 0 17.808 1.802 14.955 0.345 1991 9 14.400 0.567 0 0 14.400 0.567 13.970 1.533 1991 10 8.694 -0.989 1 0 NaN NaN 8.085 -0.201 1991 11 7.658 2.033 1 0 NaN NaN 5.284 1.055 1991 12 5.293 1.763 0 0 5.293 1.763 3.914 1.780 1992 1 6.045 3.447 0 0 6.045 3.447 3.862 2.660 1992 2 6.155 1.498 0 0 6.155 1.498 6.233 2.973 1992 3 7.801 2.208 1 0 NaN NaN 7.347 3.151 1992 4 9.654 1.523 1 0 NaN NaN 7.965 1.229 1992 5 12.905 1.212 0 0 12.905 1.212 11.858 1.561 1992 6 16.920 2.566 0 0 16.920 2.566 14.698 1.741 1992 7 18.383 2.099 0 0 18.383 2.099 16.097 1.209 1992 8 NaN NaN NaN NaN NaN NaN 15.519 0.909 1992 9 12.975 -0.858 0 0 12.975 -0.858 12.062 -0.375 1992 10 10.417 0.734 0 0 10.417 0.734 9.341 1.055 1992 11 NaN NaN NaN NaN NaN NaN 4.875 0.647 1992 12 2.454 -1.077 0 0 2.454 -1.077 1.112 -1.022 1993 1 1.383 -1.215 0 0 1.383 -1.215 -0.380 -1.582 1993 2 3.722 -0.934 0 0 3.722 -0.934 3.750 0.489 1993 3 6.833 1.240 0 0 6.833 1.240 5.613 1.416 1993 4 8.728 0.596 0 0 8.728 0.596 7.396 0.660 1993 5 NaN NaN NaN NaN NaN NaN 12.477 2.181 1993 6 15.082 0.728 1 0 NaN NaN 13.297 0.340 1993 7 NaN NaN NaN NaN NaN NaN 14.376 -0.512 1993 8 NaN NaN NaN NaN NaN NaN 15.524 0.914 1993 9 NaN NaN NaN NaN NaN NaN 13.240 0.803 1993 10 NaN NaN NaN NaN NaN NaN 9.959 1.672 1993 11 NaN NaN NaN NaN NaN NaN 3.468 -0.761 1993 12 NaN NaN NaN NaN NaN NaN 3.442 1.308 1994 1 NaN NaN NaN NaN NaN NaN 4.616 3.414 1994 2 NaN NaN NaN NaN NaN NaN 3.167 -0.093 1994 3 NaN NaN NaN NaN NaN NaN 5.759 1.562 1994 4 NaN NaN NaN NaN NaN NaN 8.353 1.617 1994 5 NaN NaN NaN NaN NaN NaN 11.584 1.288 1994 6 NaN NaN NaN NaN NaN NaN 12.616 -0.342