% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 9155 % Primary Name: FORT ELLICE % Record Type: TAVG % Country: Canada % Latitude: 50.42000 +/- 0.00500 % Longitude: -101.23000 +/- 0.00500 % Elevation (m): 475.00 +/- 0.50 % # of Months: 59 % % IDs: ghcnd - CA005010977 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: a645aca5b0fbfe77d28703b23f1778a6 % Raw Data Hash: fc177e94b5d386d1b722b56d671e887b % Adj Data Hash: e4a8220779f19408a657a2d342e8516e % % 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 1888 1 NaN NaN NaN NaN NaN NaN -25.827 -6.182 1888 2 NaN NaN NaN NaN NaN NaN -17.353 -1.945 1888 3 NaN NaN NaN NaN NaN NaN -15.756 -6.747 1888 4 NaN NaN NaN NaN NaN NaN -0.417 -2.389 1888 5 NaN NaN NaN NaN NaN NaN 6.779 -3.291 1888 6 NaN NaN NaN NaN NaN NaN 15.010 -0.289 1888 7 NaN NaN NaN NaN NaN NaN 17.900 -0.202 1888 8 NaN NaN NaN NaN NaN NaN 15.419 -1.348 1888 9 NaN NaN NaN NaN NaN NaN 10.858 0.060 1888 10 NaN NaN NaN NaN NaN NaN 5.225 0.551 1888 11 NaN NaN NaN NaN NaN NaN -5.300 0.370 1888 12 NaN NaN NaN NaN NaN NaN -10.605 4.061 1889 1 -15.277 4.192 0 0 -15.277 4.192 -15.871 3.774 1889 2 -21.929 -6.696 0 0 -21.929 -6.696 -17.641 -2.233 1889 3 -3.081 5.753 0 0 -3.081 5.753 -3.535 5.474 1889 4 6.548 4.401 0 0 6.548 4.401 5.889 3.918 1889 5 10.232 -0.013 0 0 10.232 -0.013 9.228 -0.843 1889 6 16.740 1.266 0 0 16.740 1.266 15.830 0.531 1889 7 17.858 -0.419 0 0 17.858 -0.419 17.578 -0.524 1889 8 18.324 1.382 0 0 18.324 1.382 18.135 1.369 1889 9 9.820 -1.153 0 0 9.820 -1.153 8.803 -1.995 1889 10 4.415 -0.434 0 0 4.415 -0.434 5.473 0.800 1889 11 -7.172 -1.677 0 0 -7.172 -1.677 -5.738 -0.068 1889 12 -15.048 -0.557 0 0 -15.048 -0.557 -14.457 0.209 1890 1 -24.132 -4.663 0 0 -24.132 -4.663 -25.264 -5.619 1890 2 -22.570 -7.337 0 0 -22.570 -7.337 -21.320 -5.912 1890 3 -12.485 -3.652 0 0 -12.485 -3.652 -13.779 -4.770 1890 4 2.474 0.327 0 0 2.474 0.327 2.381 0.410 1890 5 6.340 -3.905 0 0 6.340 -3.905 5.552 -4.518 1890 6 18.091 2.617 0 0 18.091 2.617 17.189 1.891 1890 7 18.810 0.532 0 0 18.810 0.532 18.293 0.191 1890 8 15.456 -1.486 0 0 15.456 -1.486 14.796 -1.971 1890 9 9.638 -1.335 0 0 9.638 -1.335 8.836 -1.962 1890 10 5.977 1.129 0 0 5.977 1.129 6.502 1.829 1890 11 -0.185 5.310 0 0 -0.185 5.310 -1.098 4.572 1890 12 -8.116 6.375 0 0 -8.116 6.375 -10.023 4.643 1891 1 -10.589 8.881 0 0 -10.589 8.881 -13.587 6.057 1891 2 -19.413 -4.180 0 0 -19.413 -4.180 -20.578 -5.170 1891 3 -11.948 -3.114 0 0 -11.948 -3.114 -13.126 -4.117 1891 4 7.512 5.365 0 0 7.512 5.365 6.771 4.799 1891 5 9.413 -0.833 0 0 9.413 -0.833 8.911 -1.159 1891 6 13.608 -1.866 0 0 13.608 -1.866 13.470 -1.828 1891 7 15.734 -2.544 0 0 15.734 -2.544 15.808 -2.294 1891 8 15.526 -1.416 0 0 15.526 -1.416 15.736 -1.030 1891 9 12.435 1.462 0 0 12.435 1.462 12.165 1.367 1891 10 4.624 -0.224 0 0 4.624 -0.224 5.517 0.844 1891 11 -8.858 -3.364 0 0 -8.858 -3.364 -8.879 -3.209 1891 12 -12.398 2.093 0 0 -12.398 2.093 -12.063 2.603 1892 1 NaN NaN NaN NaN NaN NaN -21.221 -1.576 1892 2 NaN NaN NaN NaN NaN NaN -17.128 -1.720 1892 3 NaN NaN NaN NaN NaN NaN -9.019 -0.009 1892 4 NaN NaN NaN NaN NaN NaN 0.304 -1.668 1892 5 7.384 -2.862 0 0 7.384 -2.862 6.283 -3.787 1892 6 13.585 -1.889 0 0 13.585 -1.889 13.423 -1.875 1892 7 17.894 -0.384 0 0 17.894 -0.384 18.133 0.031 1892 8 16.392 -0.550 0 0 16.392 -0.550 17.079 0.313 1892 9 11.570 0.597 0 0 11.570 0.597 11.554 0.756 1892 10 3.218 -1.631 1 0 NaN NaN 7.501 2.828 1892 11 -10.102 -4.607 0 0 -10.102 -4.607 -9.322 -3.652 1892 12 -19.110 -4.619 0 0 -19.110 -4.619 -19.123 -4.457 1893 1 NaN NaN NaN NaN NaN NaN -22.315 -2.670 1893 2 NaN NaN NaN NaN NaN NaN -21.007 -5.598 1893 3 NaN NaN NaN NaN NaN NaN -13.871 -4.862 1893 4 NaN NaN NaN NaN NaN NaN -2.872 -4.843 1893 5 NaN NaN NaN NaN NaN NaN 9.557 -0.513 1893 6 15.783 0.309 0 0 15.783 0.309 16.010 0.711 1893 7 16.942 -1.336 0 0 16.942 -1.336 18.065 -0.037 1893 8 16.135 -0.806 0 0 16.135 -0.806 17.409 0.642 1893 9 11.128 0.155 0 0 11.128 0.155 10.590 -0.208 1893 10 2.655 -2.194 0 0 2.655 -2.194 3.245 -1.428 1893 11 -9.192 -3.697 0 0 -9.192 -3.697 -9.260 -3.590 1893 12 -21.103 -6.612 0 0 -21.103 -6.612 -20.818 -6.152 1894 1 -23.324 -3.855 0 0 -23.324 -3.855 -23.810 -4.165 1894 2 -17.589 -2.356 0 0 -17.589 -2.356 -16.709 -1.301 1894 3 -9.115 -0.281 0 0 -9.115 -0.281 -9.953 -0.943 1894 4 4.038 1.891 0 0 4.038 1.891 3.373 1.402 1894 5 NaN NaN NaN NaN NaN NaN 10.116 0.046 1894 6 19.020 3.546 0 0 19.020 3.546 18.182 2.883 1894 7 20.629 2.352 0 0 20.629 2.352 19.920 1.818 1894 8 19.759 2.817 1 0 NaN NaN 18.565 1.799 1894 9 8.696 -2.277 1 0 NaN NaN 10.304 -0.494 1894 10 NaN NaN NaN NaN NaN NaN 5.195 0.522 1894 11 NaN NaN NaN NaN NaN NaN -7.770 -2.100 1894 12 NaN NaN NaN NaN NaN NaN -11.723 2.943 1895 1 NaN NaN NaN NaN NaN NaN -24.040 -4.395 1895 2 NaN NaN NaN NaN NaN NaN -16.285 -0.876 1895 3 NaN NaN NaN NaN NaN NaN -10.690 -1.681 1895 4 NaN NaN NaN NaN NaN NaN 7.399 5.427 1895 5 NaN NaN NaN NaN NaN NaN 10.130 0.060 1895 6 NaN NaN NaN NaN NaN NaN 12.912 -2.387 1895 7 NaN NaN NaN NaN NaN NaN 16.982 -1.120 1895 8 NaN NaN NaN NaN NaN NaN 15.289 -1.477 1895 9 NaN NaN NaN NaN NaN NaN 8.769 -2.029