% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8110 % Primary Name: LADYSMITH % Record Type: TAVG % Country: Canada % Latitude: 48.95000 +/- 0.00500 % Longitude: -123.65000 +/- 0.00500 % Elevation (m): 24.00 +/- 0.50 % # of Months: 128 % % IDs: ghcnd - CA001024485 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: cfec70b8ef7474dc57f4b3b9b6098b34 % Raw Data Hash: 7c821c025ed6692aa4a25c356524a17c % Adj Data Hash: 8f9fc95dc4a3cf5455ef94fb55b5f54e % % 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 1912 5 NaN NaN NaN NaN NaN NaN 11.038 0.997 1912 6 NaN NaN NaN NaN NaN NaN 12.943 0.166 1912 7 NaN NaN NaN NaN NaN NaN 14.740 -0.331 1912 8 NaN NaN NaN NaN NaN NaN 13.873 -0.926 1912 9 NaN NaN NaN NaN NaN NaN 11.477 -0.798 1912 10 NaN NaN NaN NaN NaN NaN 6.484 -1.243 1912 11 NaN NaN NaN NaN NaN NaN 3.631 0.399 1912 12 NaN NaN NaN NaN NaN NaN 1.469 0.712 1913 1 NaN NaN NaN NaN NaN NaN -3.541 -2.919 1913 2 NaN NaN NaN NaN NaN NaN 0.159 -1.917 1913 3 NaN NaN NaN NaN NaN NaN 1.227 -2.165 1913 4 NaN NaN NaN NaN NaN NaN 6.089 -0.252 1913 5 11.771 -0.396 1 0 NaN NaN 9.390 -0.651 1913 6 14.212 -0.691 0 0 14.212 -0.691 12.291 -0.486 1913 7 16.597 -0.600 0 0 16.597 -0.600 14.671 -0.400 1913 8 17.010 0.085 0 0 17.010 0.085 15.129 0.330 1913 9 12.473 -1.927 0 0 12.473 -1.927 11.604 -0.670 1913 10 8.056 -1.796 0 0 8.056 -1.796 6.761 -0.965 1913 11 4.522 -0.836 0 0 4.522 -0.836 3.273 0.041 1913 12 3.618 0.735 0 0 3.618 0.735 1.802 1.046 1914 1 3.176 1.672 0 0 3.176 1.672 1.092 1.714 1914 2 3.125 -1.078 0 0 3.125 -1.078 1.873 -0.204 1914 3 6.894 1.375 0 0 6.894 1.375 4.270 0.878 1914 4 9.790 1.324 0 0 9.790 1.324 7.381 1.041 1914 5 13.327 1.160 0 0 13.327 1.160 11.033 0.992 1914 6 14.333 -0.570 0 0 14.333 -0.570 11.943 -0.834 1914 7 17.026 -0.171 0 0 17.026 -0.171 15.013 -0.058 1914 8 17.053 0.128 0 0 17.053 0.128 14.573 -0.226 1914 9 12.287 -2.114 0 0 12.287 -2.114 10.864 -1.411 1914 10 10.965 1.112 0 0 10.965 1.112 9.229 1.503 1914 11 5.443 0.085 0 0 5.443 0.085 4.009 0.777 1914 12 1.832 -1.051 0 0 1.832 -1.051 -0.740 -1.497 1915 1 1.950 0.446 0 0 1.950 0.446 -0.165 0.457 1915 2 4.775 0.572 0 0 4.775 0.572 3.964 1.887 1915 3 8.140 2.621 0 0 8.140 2.621 6.004 2.611 1915 4 10.365 1.899 0 0 10.365 1.899 8.160 1.819 1915 5 12.471 0.304 0 0 12.471 0.304 10.769 0.728 1915 6 15.282 0.379 0 0 15.282 0.379 12.860 0.083 1915 7 17.345 0.148 0 0 17.345 0.148 15.209 0.138 1915 8 18.961 2.036 0 0 18.961 2.036 16.187 1.387 1915 9 14.395 -0.006 0 0 14.395 -0.006 12.194 -0.081 1915 10 10.329 0.477 0 0 10.329 0.477 8.231 0.504 1915 11 4.383 -0.975 0 0 4.383 -0.975 2.264 -0.968 1915 12 3.032 0.149 0 0 3.032 0.149 1.144 0.388 1916 1 -3.963 -5.467 1 0 NaN NaN -7.496 -6.874 1916 2 2.966 -1.237 0 0 2.966 -1.237 0.902 -1.175 1916 3 4.735 -0.783 0 0 4.735 -0.783 2.544 -0.849 1916 4 8.520 0.054 0 0 8.520 0.054 6.029 -0.311 1916 5 11.468 -0.699 0 0 11.468 -0.699 8.778 -1.263 1916 6 15.327 0.424 0 0 15.327 0.424 12.299 -0.478 1916 7 15.355 -1.842 0 0 15.355 -1.842 13.482 -1.589 1916 8 17.637 0.712 0 0 17.637 0.712 14.848 0.048 1916 9 13.892 -0.509 0 0 13.892 -0.509 11.973 -0.302 1916 10 8.779 -1.073 0 0 8.779 -1.073 6.489 -1.238 1916 11 4.080 -1.278 0 0 4.080 -1.278 1.595 -1.637 1916 12 0.890 -1.992 0 0 0.890 -1.992 -1.781 -2.538 1917 1 0.800 -0.704 0 0 0.800 -0.704 -2.013 -1.391 1917 2 1.814 -2.388 0 0 1.814 -2.388 -0.257 -2.333 1917 3 3.715 -1.804 0 0 3.715 -1.804 0.908 -2.485 1917 4 6.870 -1.596 0 0 6.870 -1.596 4.780 -1.561 1917 5 11.279 -0.888 0 0 11.279 -0.888 9.198 -0.843 1917 6 13.115 -1.788 0 0 13.115 -1.788 10.825 -1.952 1917 7 17.429 0.232 0 0 17.429 0.232 14.528 -0.543 1917 8 18.858 1.933 0 0 18.858 1.933 15.436 0.637 1917 9 13.822 -0.579 0 0 13.822 -0.579 12.257 -0.018 1917 10 9.894 0.041 0 0 9.894 0.041 7.861 0.134 1917 11 7.667 2.309 0 0 7.667 2.309 5.854 2.622 1917 12 3.198 0.316 0 0 3.198 0.316 0.894 0.137 1918 1 4.200 2.696 0 0 4.200 2.696 0.942 1.564 1918 2 2.271 -1.931 0 0 2.271 -1.931 0.942 -1.134 1918 3 4.990 -0.529 0 0 4.990 -0.529 2.260 -1.133 1918 4 9.653 1.187 0 0 9.653 1.187 6.398 0.058 1918 5 12.058 -0.109 0 0 12.058 -0.109 9.199 -0.842 1918 6 16.413 1.510 0 0 16.413 1.510 13.199 0.422 1918 7 18.029 0.832 0 0 18.029 0.832 15.105 0.034 1918 8 16.745 -0.180 0 0 16.745 -0.180 14.312 -0.488 1918 9 16.682 2.281 0 0 16.682 2.281 14.091 1.816 1918 10 9.802 -0.051 0 0 9.802 -0.051 8.475 0.748 1918 11 5.397 0.039 0 0 5.397 0.039 3.596 0.364 1918 12 3.098 0.216 0 0 3.098 0.216 1.192 0.436 1919 1 3.573 2.069 0 0 3.573 2.069 0.660 1.282 1919 2 2.732 -1.471 0 0 2.732 -1.471 1.350 -0.727 1919 3 5.597 0.078 0 0 5.597 0.078 2.635 -0.758 1919 4 8.567 0.100 0 0 8.567 0.100 6.210 -0.131 1919 5 10.968 -1.199 0 0 10.968 -1.199 9.029 -1.012 1919 6 12.845 -2.058 0 0 12.845 -2.058 10.835 -1.942 1919 7 17.197 -0.000 0 0 17.197 -0.000 14.245 -0.827 1919 8 17.095 0.170 0 0 17.095 0.170 14.536 -0.263 1919 9 14.425 0.024 0 0 14.425 0.024 12.592 0.317 1919 10 7.669 -2.183 0 0 7.669 -2.183 5.708 -2.018 1919 11 4.893 -0.465 0 0 4.893 -0.465 2.426 -0.807 1919 12 2.087 -0.796 0 0 2.087 -0.796 -0.599 -1.356 1920 1 2.742 1.238 0 0 2.742 1.238 -1.128 -0.506 1920 2 3.957 -0.246 0 0 3.957 -0.246 2.224 0.147 1920 3 5.569 0.051 0 0 5.569 0.051 3.031 -0.362 1920 4 7.035 -1.431 0 0 7.035 -1.431 4.434 -1.906 1920 5 9.834 -2.333 0 0 9.834 -2.333 8.113 -1.928 1920 6 13.773 -1.130 0 0 13.773 -1.130 11.618 -1.159 1920 7 17.727 0.530 0 0 17.727 0.530 15.606 0.535 1920 8 18.476 1.551 0 0 18.476 1.551 15.446 0.647 1920 9 12.490 -1.911 0 0 12.490 -1.911 11.336 -0.939 1920 10 8.134 -1.719 0 0 8.134 -1.719 6.556 -1.170 1920 11 6.195 0.837 0 0 6.195 0.837 4.287 1.055 1920 12 4.244 1.361 0 0 4.244 1.361 2.464 1.707 1921 1 2.350 0.846 0 0 2.350 0.846 0.020 0.643 1921 2 4.121 -0.081 0 0 4.121 -0.081 2.870 0.794 1921 3 5.042 -0.477 0 0 5.042 -0.477 2.879 -0.514 1921 4 7.813 -0.653 0 0 7.813 -0.653 5.078 -1.262 1921 5 11.369 -0.798 0 0 11.369 -0.798 9.450 -0.591 1921 6 13.897 -1.006 0 0 13.897 -1.006 12.236 -0.541 1921 7 15.885 -1.311 0 0 15.885 -1.311 13.708 -1.363 1921 8 16.176 -0.749 0 0 16.176 -0.749 14.127 -0.672 1921 9 12.038 -2.362 0 0 12.038 -2.362 10.782 -1.493 1921 10 9.932 0.080 0 0 9.932 0.080 8.266 0.539 1921 11 4.888 -0.470 0 0 4.888 -0.470 2.811 -0.421 1921 12 1.448 -1.434 0 0 1.448 -1.434 -1.039 -1.795 1922 1 0.442 -1.062 0 0 0.442 -1.062 -2.451 -1.828 1922 2 1.616 -2.587 0 0 1.616 -2.587 -0.819 -2.896 1922 3 4.189 -1.330 0 0 4.189 -1.330 1.636 -1.757 1922 4 6.505 -1.961 0 0 6.505 -1.961 4.687 -1.653 1922 5 9.742 -2.425 0 0 9.742 -2.425 9.454 -0.587 1922 6 14.442 -0.461 0 0 14.442 -0.461 13.389 0.612 1922 7 17.708 0.511 0 0 17.708 0.511 14.837 -0.234 1922 8 16.845 -0.080 0 0 16.845 -0.080 14.600 -0.199 1922 9 13.795 -0.606 0 0 13.795 -0.606 12.342 0.067 1922 10 10.097 0.244 0 0 10.097 0.244 8.707 0.981 1922 11 4.432 -0.926 0 0 4.432 -0.926 2.382 -0.850 1922 12 0.795 -2.088 0 0 0.795 -2.088 -1.995 -2.752 1923 1 1.915 0.411 0 0 1.915 0.411 -0.382 0.240 1923 2 1.211 -2.992 0 0 1.211 -2.992 -0.409 -2.485 1923 3 5.489 -0.030 0 0 5.489 -0.030 2.727 -0.666 1923 4 8.690 0.224 0 0 8.690 0.224 6.735 0.395 1923 5 11.976 -0.191 0 0 11.976 -0.191 9.873 -0.168 1923 6 15.003 0.100 0 0 15.003 0.100 12.942 0.165 1923 7 17.519 0.322 0 0 17.519 0.322 15.711 0.640 1923 8 17.923 0.997 0 0 17.923 0.997 15.969 1.170 1923 9 14.333 -0.067 0 0 14.333 -0.067 12.897 0.622 1923 10 9.392 -0.461 0 0 9.392 -0.461 8.653 0.926 1923 11 5.308 -0.050 0 0 5.308 -0.050 4.307 1.075 1923 12 3.279 0.396 0 0 3.279 0.396 1.548 0.791 1924 1 NaN NaN NaN NaN NaN NaN -0.661 -0.039 1924 2 NaN NaN NaN NaN NaN NaN 5.157 3.081 1924 3 NaN NaN NaN NaN NaN NaN 3.166 -0.227 1924 4 NaN NaN NaN NaN NaN NaN 5.565 -0.775 1924 5 NaN NaN NaN NaN NaN NaN 11.402 1.361 1924 6 NaN NaN NaN NaN NaN NaN 12.572 -0.206 1924 7 NaN NaN NaN NaN NaN NaN 14.852 -0.219 1924 8 NaN NaN NaN NaN NaN NaN 14.511 -0.288 1924 9 NaN NaN NaN NaN NaN NaN 12.180 -0.095 1924 10 NaN NaN NaN NaN NaN NaN 8.344 0.617 1924 11 NaN NaN NaN NaN NaN NaN 2.351 -0.882 1924 12 NaN NaN NaN NaN NaN NaN -1.712 -2.469