% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8408 % Primary Name: AGASSIZ MOUNTAIN INSTITUTE % Record Type: TAVG % Country: Canada % Latitude: 49.27000 +/- 0.00500 % Longitude: -121.83000 +/- 0.00500 % Elevation (m): 30.00 +/- 0.50 % # of Months: 100 % % IDs: ghcnd - CA001100130 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: a5b56d583a679a8c27c80f9689fa9e7e % Raw Data Hash: 69a52d80407e9ba17d246ac85074cb77 % Adj Data Hash: 818b70a472038b7cbc42a82560b4df0c % % 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 1985 4 NaN NaN NaN NaN NaN NaN 5.948 -0.393 1985 5 NaN NaN NaN NaN NaN NaN 10.221 0.179 1985 6 NaN NaN NaN NaN NaN NaN 12.444 -0.333 1985 7 NaN NaN NaN NaN NaN NaN 17.288 2.217 1985 8 NaN NaN NaN NaN NaN NaN 14.924 0.124 1985 9 NaN NaN NaN NaN NaN NaN 11.318 -0.957 1985 10 NaN NaN NaN NaN NaN NaN 7.273 -0.453 1985 11 NaN NaN NaN NaN NaN NaN -2.318 -5.550 1985 12 NaN NaN NaN NaN NaN NaN -0.797 -1.554 1986 1 NaN NaN NaN NaN NaN NaN 3.085 3.707 1986 2 NaN NaN NaN NaN NaN NaN 2.146 0.069 1986 3 NaN NaN NaN NaN NaN NaN 5.483 2.090 1986 4 8.500 -1.151 1 0 NaN NaN 5.191 -1.150 1986 5 13.306 -0.045 0 0 13.306 -0.045 10.097 0.056 1986 6 17.042 0.954 0 0 17.042 0.954 13.495 0.718 1986 7 16.895 -1.486 0 0 16.895 -1.486 13.463 -1.608 1986 8 20.669 2.560 0 0 20.669 2.560 16.901 2.102 1986 9 15.525 -0.060 0 0 15.525 -0.060 12.205 -0.070 1986 10 12.407 1.370 0 0 12.407 1.370 9.012 1.286 1986 11 6.725 0.182 0 0 6.725 0.182 3.184 -0.048 1986 12 4.605 0.537 0 0 4.605 0.537 1.845 1.089 1987 1 3.960 1.271 0 0 3.960 1.271 0.876 1.499 1987 2 NaN NaN NaN NaN NaN NaN 4.905 2.829 1987 3 8.605 1.901 0 0 8.605 1.901 5.271 1.878 1987 4 12.004 2.352 0 0 12.004 2.352 7.784 1.443 1987 5 14.427 1.076 0 0 14.427 1.076 10.714 0.673 1987 6 17.042 0.954 0 0 17.042 0.954 13.555 0.778 1987 7 18.500 0.118 0 0 18.500 0.118 14.919 -0.152 1987 8 19.483 1.373 1 0 NaN NaN 15.340 0.541 1987 9 16.913 1.328 1 0 NaN NaN 13.858 1.583 1987 10 11.944 0.906 0 0 11.944 0.906 9.315 1.588 1987 11 8.218 1.675 0 0 8.218 1.675 5.328 2.096 1987 12 2.903 -1.164 0 0 2.903 -1.164 0.561 -0.196 1988 1 3.306 0.618 0 0 3.306 0.618 -0.108 0.514 1988 2 5.629 0.242 1 0 NaN NaN 3.771 1.694 1988 3 7.540 0.837 0 0 7.540 0.837 3.889 0.496 1988 4 10.292 0.641 0 0 10.292 0.641 6.774 0.433 1988 5 13.532 0.181 0 0 13.532 0.181 10.048 0.007 1988 6 15.833 -0.254 0 0 15.833 -0.254 12.168 -0.609 1988 7 18.315 -0.067 0 0 18.315 -0.067 15.037 -0.034 1988 8 18.532 0.423 0 0 18.532 0.423 15.119 0.320 1988 9 15.058 -0.527 0 0 15.058 -0.527 12.492 0.218 1988 10 12.863 1.826 0 0 12.863 1.826 9.453 1.726 1988 11 6.808 0.266 0 0 6.808 0.266 3.982 0.750 1988 12 4.573 0.505 0 0 4.573 0.505 2.184 1.428 1989 1 3.282 0.594 0 0 3.282 0.594 0.263 0.885 1989 2 1.036 -4.352 0 0 1.036 -4.352 -1.069 -3.146 1989 3 5.960 -0.744 0 0 5.960 -0.744 2.692 -0.701 1989 4 12.408 2.757 0 0 12.408 2.757 8.139 1.798 1989 5 12.863 -0.489 0 0 12.863 -0.489 9.995 -0.046 1989 6 17.437 1.350 0 0 17.437 1.350 13.690 0.913 1989 7 17.911 -0.470 0 0 17.911 -0.470 14.672 -0.399 1989 8 17.960 -0.150 0 0 17.960 -0.150 14.467 -0.332 1989 9 16.858 1.273 0 0 16.858 1.273 13.945 1.671 1989 10 11.460 0.423 0 0 11.460 0.423 8.206 0.479 1989 11 7.533 0.991 0 0 7.533 0.991 4.277 1.045 1989 12 5.161 1.094 0 0 5.161 1.094 2.617 1.860 1990 1 3.734 1.045 0 0 3.734 1.045 1.273 1.895 1990 2 NaN NaN NaN NaN NaN NaN 1.015 -1.062 1990 3 8.113 1.409 0 0 8.113 1.409 4.337 0.944 1990 4 12.442 2.791 0 0 12.442 2.791 7.864 1.523 1990 5 13.024 -0.328 0 0 13.024 -0.328 10.094 0.053 1990 6 16.052 -0.035 0 0 16.052 -0.035 12.393 -0.384 1990 7 19.952 1.570 0 0 19.952 1.570 16.915 1.844 1990 8 19.761 1.652 1 0 NaN NaN 16.535 1.736 1990 9 17.767 2.181 0 0 17.767 2.181 14.459 2.184 1990 10 9.908 -1.130 0 0 9.908 -1.130 6.982 -0.744 1990 11 7.325 0.782 0 0 7.325 0.782 3.940 0.708 1990 12 -0.226 -4.293 0 0 -0.226 -4.293 -2.127 -2.884 1991 1 1.508 -1.180 0 0 1.508 -1.180 -1.616 -0.994 1991 2 8.357 2.970 0 0 8.357 2.970 6.002 3.925 1991 3 6.315 -0.389 0 0 6.315 -0.389 2.678 -0.715 1991 4 10.880 1.228 0 0 10.880 1.228 6.366 0.025 1991 5 13.153 -0.198 0 0 13.153 -0.198 9.745 -0.297 1991 6 15.383 -0.704 0 0 15.383 -0.704 11.500 -1.277 1991 7 19.452 1.070 0 0 19.452 1.070 15.507 0.436 1991 8 19.032 0.923 0 0 19.032 0.923 15.542 0.743 1991 9 17.175 1.590 0 0 17.175 1.590 13.754 1.479 1991 10 10.856 -0.181 0 0 10.856 -0.181 7.565 -0.161 1991 11 7.450 0.907 0 0 7.450 0.907 4.352 1.120 1991 12 5.867 1.800 0 0 5.867 1.800 3.055 2.298 1992 1 5.629 2.941 0 0 5.629 2.941 2.638 3.260 1992 2 7.141 1.753 1 0 NaN NaN 5.650 3.574 1992 3 10.645 3.942 0 0 10.645 3.942 6.923 3.530 1992 4 11.700 2.049 0 0 11.700 2.049 7.873 1.533 1992 5 15.226 1.874 0 0 15.226 1.874 11.867 1.826 1992 6 NaN NaN NaN NaN NaN NaN 14.751 1.974 1992 7 19.728 1.347 0 0 19.728 1.347 15.803 0.732 1992 8 19.506 1.396 0 0 19.506 1.396 15.676 0.877 1992 9 14.200 -1.385 0 0 14.200 -1.385 11.626 -0.649 1992 10 NaN NaN NaN NaN NaN NaN 8.815 1.088 1992 11 7.117 0.574 1 0 NaN NaN 3.838 0.606 1992 12 NaN NaN NaN NaN NaN NaN -0.636 -1.393 1993 1 0.129 -2.559 0 0 0.129 -2.559 -3.045 -2.423 1993 2 NaN NaN NaN NaN NaN NaN 2.523 0.446 1993 3 9.028 2.325 1 0 NaN NaN 4.882 1.489 1993 4 10.800 1.149 0 0 10.800 1.149 6.770 0.430 1993 5 16.645 3.293 0 0 16.645 3.293 12.758 2.717 1993 6 16.250 0.162 0 0 16.250 0.162 12.688 -0.089 1993 7 17.581 -0.801 0 0 17.581 -0.801 13.774 -1.297 1993 8 19.048 0.939 0 0 19.048 0.939 15.314 0.515 1993 9 16.600 1.015 0 0 16.600 1.015 13.229 0.954 1993 10 13.258 2.221 0 0 13.258 2.221 9.559 1.833 1993 11 NaN NaN NaN NaN NaN NaN 1.590 -1.642 1993 12 NaN NaN NaN NaN NaN NaN 1.931 1.174 1994 1 7.065 4.376 0 0 7.065 4.376 3.543 4.165 1994 2 2.875 -2.512 0 0 2.875 -2.512 1.576 -0.501 1994 3 8.887 2.184 0 0 8.887 2.184 5.154 1.761 1994 4 12.000 2.349 0 0 12.000 2.349 7.910 1.569 1994 5 15.258 1.906 0 0 15.258 1.906 11.516 1.475 1994 6 16.000 -0.088 0 0 16.000 -0.088 12.148 -0.629 1994 7 19.919 1.538 0 0 19.919 1.538 16.210 1.139 1994 8 NaN NaN NaN NaN NaN NaN 15.845 1.045 1994 9 17.367 1.781 0 0 17.367 1.781 14.036 1.761 1994 10 11.226 0.189 0 0 11.226 0.189 7.944 0.218 1994 11 4.533 -2.009 0 0 4.533 -2.009 1.730 -1.502 1994 12 3.855 -0.213 0 0 3.855 -0.213 1.327 0.570 1995 1 NaN NaN NaN NaN NaN NaN 1.148 1.770 1995 2 6.482 1.095 0 0 6.482 1.095 4.300 2.223 1995 3 7.855 1.151 0 0 7.855 1.151 4.247 0.855 1995 4 11.208 1.557 1 0 NaN NaN 6.889 0.549 1995 5 16.210 2.858 1 0 NaN NaN 12.301 2.260 1995 6 NaN NaN NaN NaN NaN NaN 13.840 1.063 1995 7 NaN NaN NaN NaN NaN NaN 15.996 0.925 1995 8 NaN NaN NaN NaN NaN NaN 13.583 -1.216 1995 9 NaN NaN NaN NaN NaN NaN 14.890 2.615 1995 10 NaN NaN NaN NaN NaN NaN 7.678 -0.049 1995 11 NaN NaN NaN NaN NaN NaN 5.015 1.783 1995 12 NaN NaN NaN NaN NaN NaN 1.717 0.960 1996 1 NaN NaN NaN NaN NaN NaN -0.978 -0.356 1996 2 NaN NaN NaN NaN NaN NaN 3.124 1.048 1996 3 NaN NaN NaN NaN NaN NaN 4.009 0.616 1996 4 NaN NaN NaN NaN NaN NaN 7.099 0.758 1996 5 NaN NaN NaN NaN NaN NaN 8.694 -1.348