% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 8839 % Primary Name: WINNIPEG U OF MANITOBA % Record Type: TAVG % Country: Canada % Latitude: 49.85000 +/- 0.00500 % Longitude: -97.25000 +/- 0.00500 % Elevation (m): 235.00 +/- 0.50 % # of Months: 117 % % IDs: ghcnd - CA005023265 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 956de1fee46461b5ffc3fec17fbc5b69 % Raw Data Hash: fffdb65340096583bfeecab152907fec % Adj Data Hash: 035bb3f330091313085f36c2062a307e % % 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 1938 6 NaN NaN NaN NaN NaN NaN 15.824 -0.122 1938 7 NaN NaN NaN NaN NaN NaN 19.782 0.919 1938 8 NaN NaN NaN NaN NaN NaN 18.726 1.289 1938 9 NaN NaN NaN NaN NaN NaN 13.684 2.170 1938 10 NaN NaN NaN NaN NaN NaN 9.575 4.244 1938 11 NaN NaN NaN NaN NaN NaN -7.102 -2.103 1938 12 NaN NaN NaN NaN NaN NaN -12.848 1.997 1939 1 NaN NaN NaN NaN NaN NaN -17.200 2.920 1939 2 NaN NaN NaN NaN NaN NaN -23.022 -6.841 1939 3 NaN NaN NaN NaN NaN NaN -11.339 -2.399 1939 4 NaN NaN NaN NaN NaN NaN 2.342 0.184 1939 5 NaN NaN NaN NaN NaN NaN 12.209 1.866 1939 6 15.228 -1.808 0 0 15.228 -1.808 14.165 -1.781 1939 7 21.113 1.160 0 0 21.113 1.160 20.863 1.999 1939 8 19.860 1.333 0 0 19.860 1.333 19.272 1.836 1939 9 13.082 0.478 0 0 13.082 0.478 11.477 -0.037 1939 10 2.650 -3.771 0 0 2.650 -3.771 3.014 -2.317 1939 11 -0.557 3.352 0 0 -0.557 3.352 -0.650 4.349 1939 12 -6.247 7.509 0 0 -6.247 7.509 -7.325 7.520 1940 1 -16.831 2.199 0 0 -16.831 2.199 -18.853 1.267 1940 2 -12.826 2.265 0 0 -12.826 2.265 -13.176 3.006 1940 3 -8.053 -0.203 0 0 -8.053 -0.203 -9.829 -0.889 1940 4 2.502 -0.747 0 0 2.502 -0.747 1.629 -0.530 1940 5 12.123 0.690 0 0 12.123 0.690 10.669 0.326 1940 6 14.668 -2.368 0 0 14.668 -2.368 14.056 -1.891 1940 7 20.044 0.090 0 0 20.044 0.090 19.747 0.884 1940 8 19.127 0.601 0 0 19.127 0.601 18.708 1.271 1940 9 15.973 3.369 0 0 15.973 3.369 14.714 3.200 1940 10 8.984 2.563 0 0 8.984 2.563 9.281 3.951 1940 11 -5.827 -1.918 0 0 -5.827 -1.918 -6.998 -1.999 1940 12 -10.602 3.154 0 0 -10.602 3.154 -12.282 2.563 1941 1 -16.206 2.823 0 0 -16.206 2.823 -18.217 1.903 1941 2 -15.311 -0.220 0 0 -15.311 -0.220 -15.275 0.906 1941 3 -8.034 -0.184 0 0 -8.034 -0.184 -9.183 -0.243 1941 4 5.385 2.137 0 0 5.385 2.137 4.888 2.729 1941 5 13.532 2.099 0 0 13.532 2.099 12.824 2.480 1941 6 18.420 1.384 0 0 18.420 1.384 17.522 1.576 1941 7 20.398 0.445 0 0 20.398 0.445 20.093 1.230 1941 8 NaN NaN NaN NaN NaN NaN 17.210 -0.227 1941 9 12.083 -0.521 0 0 12.083 -0.521 10.737 -0.778 1941 10 5.469 -0.951 0 0 5.469 -0.951 6.317 0.986 1941 11 -4.592 -0.683 0 0 -4.592 -0.683 -4.655 0.344 1941 12 -9.977 3.779 0 0 -9.977 3.779 -11.271 3.574 1942 1 -11.420 7.610 0 0 -11.420 7.610 -13.410 6.710 1942 2 -14.320 0.772 0 0 -14.320 0.772 -15.036 1.145 1942 3 -1.900 5.950 0 0 -1.900 5.950 -4.569 4.372 1942 4 5.493 2.245 0 0 5.493 2.245 4.289 2.131 1942 5 9.874 -1.559 0 0 9.874 -1.559 8.847 -1.496 1942 6 16.233 -0.803 0 0 16.233 -0.803 15.216 -0.731 1942 7 18.011 -1.942 0 0 18.011 -1.942 17.732 -1.131 1942 8 17.610 -0.917 0 0 17.610 -0.917 17.329 -0.108 1942 9 11.173 -1.431 0 0 11.173 -1.431 9.780 -1.734 1942 10 7.868 1.447 0 0 7.868 1.447 7.897 2.566 1942 11 -5.577 -1.668 0 0 -5.577 -1.668 -6.858 -1.859 1942 12 -16.363 -2.608 0 0 -16.363 -2.608 -18.067 -3.222 1943 1 -22.032 -3.002 0 0 -22.032 -3.002 -24.099 -3.980 1943 2 -14.011 1.080 0 0 -14.011 1.080 -14.972 1.210 1943 3 -11.613 -3.763 0 0 -11.613 -3.763 -13.963 -5.023 1943 4 4.340 1.092 0 0 4.340 1.092 3.281 1.123 1943 5 9.197 -2.237 0 0 9.197 -2.237 8.201 -2.142 1943 6 14.947 -2.089 0 0 14.947 -2.089 13.688 -2.258 1943 7 20.976 1.023 0 0 20.976 1.023 20.525 1.661 1943 8 18.585 0.059 0 0 18.585 0.059 17.678 0.241 1943 9 11.748 -0.856 0 0 11.748 -0.856 10.496 -1.018 1943 10 8.089 1.668 0 0 8.089 1.668 8.876 3.545 1943 11 -3.348 0.561 0 0 -3.348 0.561 -3.585 1.414 1943 12 -10.115 3.640 0 0 -10.115 3.640 -11.417 3.428 1944 1 -9.623 9.407 0 0 -9.623 9.407 -11.696 8.424 1944 2 -16.343 -1.252 0 0 -16.343 -1.252 -16.644 -0.463 1944 3 -9.263 -1.413 0 0 -9.263 -1.413 -12.413 -3.473 1944 4 5.370 2.122 0 0 5.370 2.122 3.728 1.569 1944 5 14.013 2.580 0 0 14.013 2.580 12.594 2.250 1944 6 16.188 -0.848 0 0 16.188 -0.848 14.706 -1.240 1944 7 19.469 -0.484 0 0 19.469 -0.484 18.617 -0.246 1944 8 17.927 -0.600 0 0 17.927 -0.600 17.052 -0.384 1944 9 13.390 0.786 0 0 13.390 0.786 11.632 0.118 1944 10 7.395 0.975 0 0 7.395 0.975 8.008 2.677 1944 11 -1.520 2.389 0 0 -1.520 2.389 -2.565 2.434 1944 12 -11.469 2.286 0 0 -11.469 2.286 -13.063 1.782 1945 1 -14.858 4.172 0 0 -14.858 4.172 -17.376 2.744 1945 2 -13.064 2.027 0 0 -13.064 2.027 -14.003 2.178 1945 3 -0.122 7.729 0 0 -0.122 7.729 -3.407 5.533 1945 4 0.808 -2.440 0 0 0.808 -2.440 -0.481 -2.640 1945 5 7.139 -4.295 0 0 7.139 -4.295 6.257 -4.086 1945 6 15.025 -2.011 0 0 15.025 -2.011 13.861 -2.086 1945 7 18.716 -1.237 0 0 18.716 -1.237 18.215 -0.648 1945 8 18.592 0.066 0 0 18.592 0.066 17.749 0.312 1945 9 11.090 -1.514 0 0 11.090 -1.514 9.523 -1.991 1945 10 5.088 -1.332 0 0 5.088 -1.332 5.518 0.187 1945 11 -6.487 -2.578 0 0 -6.487 -2.578 -7.593 -2.594 1945 12 -15.768 -2.013 0 0 -15.768 -2.013 -17.560 -2.715 1946 1 -16.903 2.127 0 0 -16.903 2.127 -19.015 1.105 1946 2 -16.532 -1.441 0 0 -16.532 -1.441 -18.637 -2.456 1946 3 -1.305 6.545 0 0 -1.305 6.545 -3.462 5.478 1946 4 7.088 3.840 0 0 7.088 3.840 5.951 3.793 1946 5 10.352 -1.081 1 0 NaN NaN 9.217 -1.126 1946 6 15.665 -1.371 0 0 15.665 -1.371 14.829 -1.117 1946 7 20.272 0.318 0 0 20.272 0.318 19.468 0.605 1946 8 18.468 -0.059 0 0 18.468 -0.059 16.956 -0.480 1946 9 12.790 0.186 0 0 12.790 0.186 10.940 -0.574 1946 10 4.277 -2.143 0 0 4.277 -2.143 4.500 -0.831 1946 11 -5.895 -1.986 0 0 -5.895 -1.986 -6.541 -1.542 1946 12 -14.605 -0.850 0 0 -14.605 -0.850 -16.370 -1.525 1947 1 -12.453 6.577 0 0 -12.453 6.577 -16.671 3.449 1947 2 -17.339 -2.248 0 0 -17.339 -2.248 -18.598 -2.417 1947 3 -8.298 -0.448 0 0 -8.298 -0.448 -10.066 -1.126 1947 4 2.332 -0.917 0 0 2.332 -0.917 0.619 -1.539 1947 5 7.547 -3.887 0 0 7.547 -3.887 6.954 -3.390 1947 6 16.185 -0.851 0 0 16.185 -0.851 14.540 -1.406 1947 7 21.135 1.182 0 0 21.135 1.182 20.409 1.545 1947 8 20.145 1.618 0 0 20.145 1.618 19.178 1.741 1947 9 10.850 -1.754 1 0 NaN NaN 10.218 -1.296 1947 10 9.692 3.271 0 0 9.692 3.271 10.076 4.745 1947 11 -6.227 -2.318 0 0 -6.227 -2.318 -6.545 -1.547 1947 12 -15.394 -1.638 0 0 -15.394 -1.638 -16.152 -1.307 1948 1 -18.213 0.817 0 0 -18.213 0.817 -19.863 0.256 1948 2 -17.484 -2.393 0 0 -17.484 -2.393 -18.095 -1.914 1948 3 -10.427 -2.576 0 0 -10.427 -2.576 -12.474 -3.534 1948 4 2.167 -1.082 0 0 2.167 -1.082 0.116 -2.042 1948 5 12.537 1.103 0 0 12.537 1.103 10.879 0.536 1948 6 16.945 -0.091 0 0 16.945 -0.091 15.483 -0.464 1948 7 19.571 -0.382 0 0 19.571 -0.382 19.132 0.268 1948 8 19.667 1.141 0 0 19.667 1.141 18.692 1.255 1948 9 16.550 3.946 1 0 NaN NaN 14.809 3.294 1948 10 NaN NaN NaN NaN NaN NaN 8.511 3.180 1948 11 -5.036 -1.127 1 0 NaN NaN -3.291 1.708 1948 12 -14.018 -0.263 0 0 -14.018 -0.263 -15.409 -0.564 1949 1 -18.484 0.546 0 0 -18.484 0.546 -20.228 -0.109 1949 2 -22.198 -7.107 0 0 -22.198 -7.107 -21.507 -5.326 1949 3 -8.215 -0.365 1 0 NaN NaN -10.543 -1.603 1949 4 5.827 2.579 0 0 5.827 2.579 5.323 3.164 1949 5 NaN NaN NaN NaN NaN NaN 10.484 0.141 1949 6 NaN NaN NaN NaN NaN NaN 16.026 0.079 1949 7 NaN NaN NaN NaN NaN NaN 18.948 0.084 1949 8 NaN NaN NaN NaN NaN NaN 20.434 2.997 1949 9 NaN NaN NaN NaN NaN NaN 10.448 -1.066 1949 10 NaN NaN NaN NaN NaN NaN 5.459 0.129 1949 11 NaN NaN NaN NaN NaN NaN -1.138 3.861 1949 12 NaN NaN NaN NaN NaN NaN -17.514 -2.668 1950 1 NaN NaN NaN NaN NaN NaN -29.064 -8.944 1950 2 NaN NaN NaN NaN NaN NaN -17.527 -1.346 1950 3 NaN NaN NaN NaN NaN NaN -12.521 -3.581 1950 4 NaN NaN NaN NaN NaN NaN -2.121 -4.280