% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8184 % Primary Name: ABBOTSFORD UPPER SUMAS % Record Type: TAVG % Country: Canada % Latitude: 49.05000 +/- 0.00500 % Longitude: -122.27000 +/- 0.00500 % Elevation (m): 9.00 +/- 0.50 % # of Months: 108 % % IDs: ghcnd - CA001100040 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 5b651bd499eca2c2c075507843194132 % Raw Data Hash: 365128842a4bb5b905d45c838eb07578 % Adj Data Hash: b992f20b836c31c5e390a57f99356fd0 % % 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 1936 1 NaN NaN NaN NaN NaN NaN 0.982 1.604 1936 2 NaN NaN NaN NaN NaN NaN -3.608 -5.685 1936 3 NaN NaN NaN NaN NaN NaN 1.773 -1.620 1936 4 NaN NaN NaN NaN NaN NaN 7.062 0.721 1936 5 NaN NaN NaN NaN NaN NaN 11.371 1.330 1936 6 NaN NaN NaN NaN NaN NaN 13.578 0.800 1936 7 NaN NaN NaN NaN NaN NaN 14.957 -0.114 1936 8 NaN NaN NaN NaN NaN NaN 15.523 0.723 1936 9 NaN NaN NaN NaN NaN NaN 11.701 -0.574 1936 10 NaN NaN NaN NaN NaN NaN 9.212 1.485 1936 11 NaN NaN NaN NaN NaN NaN 3.095 -0.137 1936 12 NaN NaN NaN NaN NaN NaN 1.873 1.116 1937 1 -4.268 -6.248 0 0 -4.268 -6.248 -6.727 -6.105 1937 2 0.704 -3.975 0 0 0.704 -3.975 0.042 -2.034 1937 3 8.303 2.308 0 0 8.303 2.308 4.748 1.355 1937 4 8.377 -0.566 0 0 8.377 -0.566 5.214 -1.127 1937 5 12.445 -0.198 0 0 12.445 -0.198 9.799 -0.243 1937 6 16.150 0.771 0 0 16.150 0.771 13.231 0.453 1937 7 17.163 -0.510 0 0 17.163 -0.510 15.286 0.215 1937 8 16.329 -1.072 0 0 16.329 -1.072 13.949 -0.850 1937 9 15.092 0.215 0 0 15.092 0.215 12.994 0.719 1937 10 11.890 1.562 0 0 11.890 1.562 9.570 1.843 1937 11 6.578 0.744 0 0 6.578 0.744 3.922 0.690 1937 12 3.553 0.194 0 0 3.553 0.194 1.550 0.793 1938 1 3.503 1.523 0 0 3.503 1.523 0.237 0.860 1938 2 NaN NaN NaN NaN NaN NaN 2.356 0.279 1938 3 6.760 0.765 0 0 6.760 0.765 3.432 0.039 1938 4 10.052 1.109 0 0 10.052 1.109 6.959 0.619 1938 5 12.485 -0.158 0 0 12.485 -0.158 10.377 0.335 1938 6 15.332 -0.047 0 0 15.332 -0.047 13.391 0.614 1938 7 17.698 0.025 0 0 17.698 0.025 15.951 0.880 1938 8 15.697 -1.704 0 0 15.697 -1.704 13.923 -0.876 1938 9 16.017 1.140 0 0 16.017 1.140 14.052 1.777 1938 10 11.287 0.959 0 0 11.287 0.959 8.686 0.959 1938 11 5.340 -0.494 0 0 5.340 -0.494 2.387 -0.845 1938 12 3.408 0.049 0 0 3.408 0.049 1.366 0.609 1939 1 4.739 2.759 0 0 4.739 2.759 1.731 2.353 1939 2 1.725 -2.954 0 0 1.725 -2.954 0.555 -1.522 1939 3 6.571 0.576 0 0 6.571 0.576 3.434 0.041 1939 4 10.255 1.312 0 0 10.255 1.312 7.089 0.748 1939 5 12.708 0.065 0 0 12.708 0.065 10.389 0.348 1939 6 13.890 -1.489 0 0 13.890 -1.489 11.395 -1.382 1939 7 16.766 -0.907 0 0 16.766 -0.907 14.848 -0.223 1939 8 17.679 0.278 0 0 17.679 0.278 15.939 1.139 1939 9 14.578 -0.298 0 0 14.578 -0.298 12.678 0.403 1939 10 10.039 -0.290 0 0 10.039 -0.290 7.965 0.238 1939 11 8.563 2.729 0 0 8.563 2.729 6.162 2.930 1939 12 7.206 3.848 0 0 7.206 3.848 4.516 3.759 1940 1 4.374 2.394 0 0 4.374 2.394 1.518 2.141 1940 2 5.589 0.911 1 0 NaN NaN 4.064 1.988 1940 3 8.442 2.447 0 0 8.442 2.447 5.360 1.967 1940 4 11.528 2.586 0 0 11.528 2.586 8.140 1.800 1940 5 14.084 1.441 0 0 14.084 1.441 11.779 1.738 1940 6 15.980 0.601 0 0 15.980 0.601 13.833 1.056 1940 7 17.177 -0.496 0 0 17.177 -0.496 15.230 0.159 1940 8 17.682 0.281 0 0 17.682 0.281 15.582 0.783 1940 9 17.227 2.350 0 0 17.227 2.350 14.602 2.327 1940 10 12.377 2.049 0 0 12.377 2.049 9.778 2.051 1940 11 4.188 -1.646 0 0 4.188 -1.646 1.798 -1.434 1940 12 5.087 1.728 0 0 5.087 1.728 2.705 1.948 1941 1 5.376 3.396 0 0 5.376 3.396 2.107 2.729 1941 2 6.098 1.419 1 0 NaN NaN 4.866 2.789 1941 3 9.939 3.944 0 0 9.939 3.944 6.714 3.321 1941 4 11.502 2.559 0 0 11.502 2.559 8.390 2.050 1941 5 13.079 0.436 0 0 13.079 0.436 10.384 0.342 1941 6 15.777 0.398 0 0 15.777 0.398 12.897 0.120 1941 7 19.902 2.229 0 0 19.902 2.229 17.252 2.181 1941 8 17.784 0.383 0 0 17.784 0.383 15.234 0.435 1941 9 14.072 -0.805 0 0 14.072 -0.805 11.419 -0.856 1941 10 11.268 0.939 0 0 11.268 0.939 8.549 0.823 1941 11 7.835 2.001 0 0 7.835 2.001 4.770 1.538 1941 12 4.696 1.337 1 0 NaN NaN 1.605 0.849 1942 1 3.347 1.367 0 0 3.347 1.367 0.082 0.704 1942 2 4.580 -0.099 0 0 4.580 -0.099 3.077 1.001 1942 3 6.943 0.948 0 0 6.943 0.948 3.560 0.167 1942 4 10.797 1.854 0 0 10.797 1.854 7.298 0.958 1942 5 13.663 1.020 0 0 13.663 1.020 10.256 0.215 1942 6 15.777 0.398 0 0 15.777 0.398 12.231 -0.547 1942 7 19.452 1.779 0 0 19.452 1.779 16.542 1.471 1942 8 19.365 1.963 0 0 19.365 1.963 16.721 1.922 1942 9 14.948 0.072 0 0 14.948 0.072 12.909 0.634 1942 10 11.156 0.828 0 0 11.156 0.828 8.948 1.222 1942 11 5.468 -0.366 0 0 5.468 -0.366 2.561 -0.671 1942 12 4.148 0.790 0 0 4.148 0.790 1.887 1.130 1943 1 -2.180 -4.160 0 0 -2.180 -4.160 -4.364 -3.742 1943 2 NaN NaN NaN NaN NaN NaN 3.550 1.474 1943 3 5.035 -0.959 0 0 5.035 -0.959 2.221 -1.172 1943 4 10.895 1.952 0 0 10.895 1.952 7.225 0.885 1943 5 11.703 -0.940 0 0 11.703 -0.940 8.930 -1.111 1943 6 14.878 -0.501 0 0 14.878 -0.501 11.978 -0.799 1943 7 17.398 -0.275 0 0 17.398 -0.275 14.753 -0.318 1943 8 16.508 -0.893 0 0 16.508 -0.893 14.234 -0.565 1943 9 15.345 0.468 0 0 15.345 0.468 13.509 1.234 1943 10 10.663 0.334 0 0 10.663 0.334 8.667 0.940 1943 11 7.518 1.684 0 0 7.518 1.684 4.426 1.193 1943 12 3.623 0.264 0 0 3.623 0.264 1.077 0.320 1944 1 3.703 1.723 0 0 3.703 1.723 0.744 1.366 1944 2 4.205 -0.474 0 0 4.205 -0.474 2.721 0.644 1944 3 5.056 -0.939 1 0 NaN NaN 2.774 -0.619 1944 4 9.752 0.809 0 0 9.752 0.809 6.793 0.453 1944 5 13.323 0.680 0 0 13.323 0.680 10.087 0.046 1944 6 15.575 0.196 0 0 15.575 0.196 12.675 -0.102 1944 7 18.410 0.737 0 0 18.410 0.737 15.410 0.339 1944 8 17.069 -0.332 0 0 17.069 -0.332 14.448 -0.351 1944 9 16.095 1.218 0 0 16.095 1.218 13.643 1.368 1944 10 12.688 2.359 0 0 12.688 2.359 9.917 2.190 1944 11 6.935 1.100 1 0 NaN NaN 4.421 1.189 1944 12 3.066 -0.293 0 0 3.066 -0.293 0.510 -0.247 1945 1 4.673 2.693 0 0 4.673 2.693 1.403 2.025 1945 2 5.147 0.468 0 0 5.147 0.468 3.468 1.392 1945 3 5.689 -0.306 0 0 5.689 -0.306 2.775 -0.618 1945 4 7.973 -0.969 0 0 7.973 -0.969 4.774 -1.567 1945 5 13.656 1.013 0 0 13.656 1.013 10.965 0.924 1945 6 15.128 -0.251 0 0 15.128 -0.251 11.939 -0.838 1945 7 17.832 0.159 0 0 17.832 0.159 15.190 0.119 1945 8 17.600 0.199 0 0 17.600 0.199 14.972 0.173 1945 9 13.472 -1.405 0 0 13.472 -1.405 11.350 -0.925 1945 10 10.834 0.505 0 0 10.834 0.505 8.342 0.615 1945 11 5.005 -0.829 0 0 5.005 -0.829 2.101 -1.131 1945 12 3.356 -0.002 0 0 3.356 -0.002 0.972 0.215 1946 1 4.105 2.125 0 0 4.105 2.125 1.080 1.703 1946 2 NaN NaN NaN NaN NaN NaN 3.000 0.923 1946 3 6.823 0.828 0 0 6.823 0.828 3.413 0.021 1946 4 NaN NaN NaN NaN NaN NaN 5.559 -0.782 1946 5 NaN NaN NaN NaN NaN NaN 11.526 1.485 1946 6 NaN NaN NaN NaN NaN NaN 11.916 -0.861 1946 7 NaN NaN NaN NaN NaN NaN 14.872 -0.199 1946 8 NaN NaN NaN NaN NaN NaN 14.847 0.048 1946 9 NaN NaN NaN NaN NaN NaN 12.415 0.140 1946 10 NaN NaN NaN NaN NaN NaN 6.325 -1.402 1946 11 NaN NaN NaN NaN NaN NaN 1.132 -2.100 1946 12 NaN NaN NaN NaN NaN NaN 0.482 -0.275 1947 1 NaN NaN NaN NaN NaN NaN -2.421 -1.799 1947 2 NaN NaN NaN NaN NaN NaN 3.543 1.466 1947 3 NaN NaN NaN NaN NaN NaN 4.636 1.243