% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8501 % Primary Name: GLASSFORD % Record Type: TAVG % Country: Canada % Latitude: 49.37000 +/- 0.00500 % Longitude: -110.70000 +/- 0.00500 % Elevation (m): 834.00 +/- 0.50 % # of Months: 105 % % IDs: ghcnd - CA003042793 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 7b4456b0c02f634332c0143cf57fcdcb % Raw Data Hash: 7b101765104c75bcf705d86b9b0f09da % Adj Data Hash: e7f9251b0da525ca6267ab8584b7c3ae % % 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 1927 1 NaN NaN NaN NaN NaN NaN -13.703 -0.113 1927 2 NaN NaN NaN NaN NaN NaN -10.865 -1.988 1927 3 NaN NaN NaN NaN NaN NaN -4.160 -0.063 1927 4 NaN NaN NaN NaN NaN NaN 3.300 -0.894 1927 5 NaN NaN NaN NaN NaN NaN 7.858 -3.110 1927 6 NaN NaN NaN NaN NaN NaN 14.429 -0.993 1927 7 NaN NaN NaN NaN NaN NaN 18.391 -0.598 1927 8 NaN NaN NaN NaN NaN NaN 16.918 -1.126 1927 9 NaN NaN NaN NaN NaN NaN 10.925 -1.147 1927 10 NaN NaN NaN NaN NaN NaN 8.581 2.738 1927 11 NaN NaN NaN NaN NaN NaN -9.340 -6.267 1927 12 NaN NaN NaN NaN NaN NaN -18.112 -8.782 1928 1 -10.725 2.860 1 0 NaN NaN -10.869 2.721 1928 2 -6.448 2.423 0 0 -6.448 2.423 -6.049 2.828 1928 3 -0.611 3.481 0 0 -0.611 3.481 -1.999 2.098 1928 4 3.553 -0.646 0 0 3.553 -0.646 2.727 -1.467 1928 5 13.782 2.809 0 0 13.782 2.809 13.803 2.836 1928 6 12.432 -2.995 1 0 NaN NaN 12.698 -2.723 1928 7 18.085 -0.909 0 0 18.085 -0.909 18.897 -0.091 1928 8 15.050 -3.000 0 0 15.050 -3.000 16.105 -1.939 1928 9 11.163 -0.915 0 0 11.163 -0.915 10.914 -1.159 1928 10 3.882 -1.966 0 0 3.882 -1.966 4.946 -0.897 1928 11 -0.920 2.148 0 0 -0.920 2.148 -1.227 1.847 1928 12 -5.987 3.338 1 0 NaN NaN -7.159 2.171 1929 1 -18.458 -4.873 0 0 -18.458 -4.873 -19.876 -6.286 1929 2 -15.898 -7.027 0 0 -15.898 -7.027 -14.705 -5.828 1929 3 0.718 4.810 0 0 0.718 4.810 -0.838 3.259 1929 4 NaN NaN NaN NaN NaN NaN 1.935 -2.259 1929 5 8.973 -2.001 0 0 8.973 -2.001 9.284 -1.684 1929 6 14.085 -1.342 0 0 14.085 -1.342 14.418 -1.003 1929 7 NaN NaN NaN NaN NaN NaN 20.176 1.187 1929 8 NaN NaN NaN NaN NaN NaN 20.352 2.308 1929 9 9.520 -2.558 0 0 9.520 -2.558 9.162 -2.911 1929 10 7.165 1.316 0 0 7.165 1.316 8.353 2.511 1929 11 -1.023 2.044 0 0 -1.023 2.044 -2.217 0.856 1929 12 -10.800 -1.476 0 0 -10.800 -1.476 -11.471 -2.141 1930 1 -18.810 -5.225 0 0 -18.810 -5.225 -20.822 -7.231 1930 2 -1.902 6.970 0 0 -1.902 6.970 -2.116 6.761 1930 3 -2.265 1.827 0 0 -2.265 1.827 -4.404 -0.306 1930 4 8.263 4.064 0 0 8.263 4.064 8.349 4.156 1930 5 10.218 -0.756 0 0 10.218 -0.756 10.422 -0.546 1930 6 14.893 -0.534 0 0 14.893 -0.534 15.242 -0.180 1930 7 19.308 0.314 0 0 19.308 0.314 20.939 1.951 1930 8 18.894 0.844 0 0 18.894 0.844 20.567 2.523 1930 9 12.543 0.465 0 0 12.543 0.465 12.196 0.123 1930 10 3.281 -2.568 0 0 3.281 -2.568 3.586 -2.257 1930 11 -2.237 0.831 0 0 -2.237 0.831 -2.593 0.480 1930 12 -3.419 5.905 0 0 -3.419 5.905 -4.509 4.821 1931 1 -4.019 9.565 0 0 -4.019 9.565 -5.857 7.734 1931 2 -1.109 7.763 0 0 -1.109 7.763 0.288 9.165 1931 3 -2.061 2.031 0 0 -2.061 2.031 -2.850 1.247 1931 4 5.657 1.457 0 0 5.657 1.457 5.469 1.275 1931 5 12.018 1.044 0 0 12.018 1.044 11.971 1.003 1931 6 17.550 2.123 0 0 17.550 2.123 17.550 2.128 1931 7 18.352 -0.643 0 0 18.352 -0.643 19.578 0.589 1931 8 17.121 -0.929 0 0 17.121 -0.929 18.864 0.820 1931 9 11.882 -0.197 0 0 11.882 -0.197 12.339 0.267 1931 10 7.963 2.114 0 0 7.963 2.114 7.832 1.989 1931 11 -5.048 -1.981 0 0 -5.048 -1.981 -5.009 -1.936 1931 12 -6.353 2.971 0 0 -6.353 2.971 -7.544 1.786 1932 1 -11.603 1.982 0 0 -11.603 1.982 -12.355 1.235 1932 2 -8.936 -0.065 0 0 -8.936 -0.065 -7.735 1.142 1932 3 -6.784 -2.692 0 0 -6.784 -2.692 -8.209 -4.112 1932 4 6.788 2.589 0 0 6.788 2.589 6.326 2.132 1932 5 11.605 0.631 0 0 11.605 0.631 12.011 1.043 1932 6 15.560 0.133 0 0 15.560 0.133 15.914 0.493 1932 7 19.163 0.169 0 0 19.163 0.169 19.977 0.988 1932 8 18.037 -0.013 0 0 18.037 -0.013 18.765 0.720 1932 9 10.943 -1.136 1 0 NaN NaN 11.737 -0.335 1932 10 3.561 -2.287 0 0 3.561 -2.287 4.979 -0.864 1932 11 -2.328 0.739 0 0 -2.328 0.739 -2.973 0.100 1932 12 -9.687 -0.363 0 0 -9.687 -0.363 -10.102 -0.772 1933 1 -7.406 6.178 0 0 -7.406 6.178 -10.184 3.407 1933 2 -10.770 -1.898 0 0 -10.770 -1.898 -10.565 -1.687 1933 3 -0.998 3.093 0 0 -0.998 3.093 -1.760 2.337 1933 4 3.182 -1.018 0 0 3.182 -1.018 3.009 -1.185 1933 5 10.173 -0.801 0 0 10.173 -0.801 10.780 -0.188 1933 6 16.890 1.463 0 0 16.890 1.463 17.934 2.512 1933 7 19.108 0.114 0 0 19.108 0.114 20.624 1.636 1933 8 16.052 -1.998 0 0 16.052 -1.998 18.677 0.633 1933 9 10.567 -1.512 0 0 10.567 -1.512 11.210 -0.863 1933 10 3.415 -2.434 0 0 3.415 -2.434 5.287 -0.556 1933 11 0.003 3.071 0 0 0.003 3.071 -0.354 2.719 1933 12 -15.373 -6.048 0 0 -15.373 -6.048 -13.490 -4.161 1934 1 -5.563 8.022 0 0 -5.563 8.022 -7.324 6.266 1934 2 -1.195 7.677 0 0 -1.195 7.677 -2.426 6.451 1934 3 -1.844 2.248 0 0 -1.844 2.248 -3.055 1.042 1934 4 8.373 4.174 0 0 8.373 4.174 7.448 3.254 1934 5 15.003 4.030 0 0 15.003 4.030 15.235 4.267 1934 6 NaN NaN NaN NaN NaN NaN 14.397 -1.024 1934 7 NaN NaN NaN NaN NaN NaN 20.178 1.189 1934 8 NaN NaN NaN NaN NaN NaN 18.496 0.451 1934 9 9.253 -2.825 0 0 9.253 -2.825 8.452 -3.621 1934 10 7.810 1.961 0 0 7.810 1.961 8.357 2.514 1934 11 0.083 3.151 0 0 0.083 3.151 0.168 3.242 1934 12 -8.917 0.407 0 0 -8.917 0.407 -9.047 0.283 1935 1 -15.789 -2.204 0 0 -15.789 -2.204 -17.160 -3.569 1935 2 -5.773 3.098 0 0 -5.773 3.098 -4.551 4.326 1935 3 -6.019 -1.928 0 0 -6.019 -1.928 -6.791 -2.694 1935 4 1.123 -3.076 0 0 1.123 -3.076 0.958 -3.236 1935 5 NaN NaN NaN NaN NaN NaN 9.180 -1.788 1935 6 14.250 -1.177 0 0 14.250 -1.177 14.434 -0.988 1935 7 19.711 0.717 0 0 19.711 0.717 20.791 1.803 1935 8 16.071 -1.979 0 0 16.071 -1.979 17.145 -0.899 1935 9 9.539 -2.539 1 0 NaN NaN 12.500 0.427 1935 10 4.931 -0.918 0 0 4.931 -0.918 6.166 0.323 1935 11 -5.820 -2.752 0 0 -5.820 -2.752 -6.774 -3.701 1935 12 -5.555 3.769 0 0 -5.555 3.769 -6.573 2.757 1936 1 -14.645 -1.060 0 0 -14.645 -1.060 -16.574 -2.983 1936 2 -27.296 -18.425 1 0 NaN NaN -22.884 -14.007 1936 3 -2.737 1.355 0 0 -2.737 1.355 -4.567 -0.470 1936 4 3.763 -0.436 0 0 3.763 -0.436 2.812 -1.382 1936 5 16.519 5.546 0 0 16.519 5.546 15.581 4.613 1936 6 16.633 1.206 0 0 16.633 1.206 16.831 1.409 1936 7 21.837 2.843 0 0 21.837 2.843 24.235 5.246 1936 8 17.137 -0.913 1 0 NaN NaN 19.389 1.345 1936 9 NaN NaN NaN NaN NaN NaN 12.241 0.169 1936 10 NaN NaN NaN NaN NaN NaN 7.618 1.775 1936 11 -0.898 2.169 0 0 -0.898 2.169 -1.517 1.556 1936 12 -11.981 -2.657 0 0 -11.981 -2.657 -10.889 -1.559 1937 1 -23.126 -9.541 0 0 -23.126 -9.541 -23.789 -10.199 1937 2 -15.954 -7.082 0 0 -15.954 -7.082 -13.194 -4.317 1937 3 -3.226 0.866 0 0 -3.226 0.866 -4.265 -0.167 1937 4 5.448 1.249 0 0 5.448 1.249 5.745 1.552 1937 5 11.203 0.230 0 0 11.203 0.230 12.266 1.298 1937 6 16.392 0.964 0 0 16.392 0.964 15.955 0.533 1937 7 NaN NaN NaN NaN NaN NaN 20.989 2.000 1937 8 NaN NaN NaN NaN NaN NaN 18.217 0.173 1937 9 NaN NaN NaN NaN NaN NaN 12.655 0.582 1937 10 NaN NaN NaN NaN NaN NaN 8.776 2.933 1937 11 NaN NaN NaN NaN NaN NaN -4.210 -1.137 1937 12 NaN NaN NaN NaN NaN NaN -10.219 -0.889 1938 1 NaN NaN NaN NaN NaN NaN -8.510 5.080 1938 2 NaN NaN NaN NaN NaN NaN -14.383 -5.506 1938 3 NaN NaN NaN NaN NaN NaN -3.390 0.707 1938 4 NaN NaN NaN NaN NaN NaN 4.790 0.596 1938 5 NaN NaN NaN NaN NaN NaN 10.116 -0.852 1938 6 NaN NaN NaN NaN NaN NaN 15.767 0.345