% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42243 % Primary Name: KELSO % Record Type: TAVG % Country: United States % State: ND % Latitude: 47.31670 +/- 0.00005 % Longitude: -97.01670 +/- 0.00005 % Elevation (m): 273.41 +/- 0.15 % # of Months: 64 % % Alternate Names: Missing Station ID - 324626 % % IDs: coop - 324626 % ghcnd - USC00324626 % ncdc - 12003946 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ee3f0477ec11613c13171958d3870de1 % Raw Data Hash: 1d327126fb2cd1de192a41c70835484b % Adj Data Hash: 7d81889679a41f36a4a19f78afaf09dd % % 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 1892 1 NaN NaN NaN NaN NaN NaN -18.193 -1.835 1892 2 NaN NaN NaN NaN NaN NaN -11.418 0.928 1892 3 NaN NaN NaN NaN NaN NaN -5.547 -0.292 1892 4 NaN NaN NaN NaN NaN NaN 2.546 -2.036 1892 5 NaN NaN NaN NaN NaN NaN 8.184 -4.100 1892 6 NaN NaN NaN NaN NaN NaN 16.116 -1.442 1892 7 NaN NaN NaN NaN NaN NaN 20.206 -0.080 1892 8 NaN NaN NaN NaN NaN NaN 19.263 0.078 1892 9 NaN NaN NaN NaN NaN NaN 14.355 0.999 1892 10 NaN NaN NaN NaN NaN NaN 8.976 1.825 1892 11 NaN NaN NaN NaN NaN NaN -6.062 -3.330 1892 12 NaN NaN NaN NaN NaN NaN -15.256 -3.716 1893 1 -18.426 -2.507 0 0 -18.426 -2.507 -20.457 -4.098 1893 2 -19.226 -7.321 0 0 -19.226 -7.321 -18.059 -5.714 1893 3 -11.667 -6.852 0 0 -11.667 -6.852 -10.455 -5.201 1893 4 0.185 -4.837 0 0 0.185 -4.837 0.235 -4.347 1893 5 11.326 -1.397 0 0 11.326 -1.397 10.592 -1.691 1893 6 23.107 5.109 0 0 23.107 5.109 20.127 2.569 1893 7 19.516 -1.210 0 0 19.516 -1.210 20.236 -0.050 1893 8 19.122 -0.503 0 0 19.122 -0.503 18.310 -0.875 1893 9 13.426 -0.370 0 0 13.426 -0.370 12.800 -0.556 1893 10 5.556 -2.035 0 0 5.556 -2.035 6.416 -0.736 1893 11 -4.759 -2.467 0 0 -4.759 -2.467 -4.811 -2.079 1893 12 -15.900 -4.800 0 0 -15.900 -4.800 -16.850 -5.310 1894 1 -17.375 -1.457 0 0 -17.375 -1.457 -18.201 -1.842 1894 2 -11.944 -0.039 0 0 -11.944 -0.039 -12.742 -0.397 1894 3 -2.611 2.204 0 0 -2.611 2.204 -3.661 1.593 1894 4 6.111 1.089 0 0 6.111 1.089 6.184 1.602 1894 5 13.136 0.413 0 0 13.136 0.413 12.168 -0.116 1894 6 19.889 1.891 0 0 19.889 1.891 20.011 2.453 1894 7 21.649 0.923 0 0 21.649 0.923 21.698 1.412 1894 8 20.681 1.057 0 0 20.681 1.057 19.749 0.564 1894 9 14.140 0.344 0 0 14.140 0.344 13.811 0.455 1894 10 5.556 -2.035 1 0 NaN NaN 7.394 0.243 1894 11 -4.921 -2.628 0 0 -4.921 -2.628 -5.550 -2.818 1894 12 -8.799 2.301 0 0 -8.799 2.301 -7.371 4.169 1895 1 -18.745 -2.826 0 0 -18.745 -2.826 -20.179 -3.821 1895 2 -14.418 -2.512 0 0 -14.418 -2.512 -14.987 -2.642 1895 3 -7.393 -2.579 0 0 -7.393 -2.579 -6.759 -1.504 1895 4 9.222 4.200 0 0 9.222 4.200 9.060 4.478 1895 5 13.525 0.802 0 0 13.525 0.802 12.660 0.377 1895 6 17.263 -0.735 0 0 17.263 -0.735 15.724 -1.834 1895 7 18.313 -2.413 0 0 18.313 -2.413 18.313 -1.973 1895 8 NaN NaN NaN NaN NaN NaN 17.795 -1.390 1895 9 NaN NaN NaN NaN NaN NaN 13.149 -0.207 1895 10 NaN NaN NaN NaN NaN NaN 5.047 -2.104 1895 11 -5.732 -3.440 0 0 -5.732 -3.440 -4.877 -2.145 1895 12 -11.282 -0.182 0 0 -11.282 -0.182 -10.591 0.949 1896 1 -15.843 0.076 0 0 -15.843 0.076 -16.040 0.318 1896 2 -11.234 0.671 0 0 -11.234 0.671 -10.887 1.458 1896 3 -13.827 -9.013 1 0 NaN NaN -9.751 -4.497 1896 4 5.909 0.887 0 0 5.909 0.887 4.461 -0.121 1896 5 16.000 3.277 1 0 NaN NaN 14.173 1.890 1896 6 18.440 0.442 0 0 18.440 0.442 18.104 0.545 1896 7 20.531 -0.195 1 0 NaN NaN 19.458 -0.828 1896 8 NaN NaN NaN NaN NaN NaN 18.051 -1.134 1896 9 NaN NaN NaN NaN NaN NaN 10.976 -2.380 1896 10 NaN NaN NaN NaN NaN NaN 5.511 -1.640 1896 11 -11.917 -9.624 1 0 NaN NaN -11.314 -8.582 1896 12 -10.345 0.755 0 0 -10.345 0.755 -10.059 1.481 1897 1 -16.002 -0.083 0 0 -16.002 -0.083 -18.415 -2.057 1897 2 -9.661 2.245 1 0 NaN NaN -13.263 -0.918 1897 3 NaN NaN NaN NaN NaN NaN -10.156 -4.902 1897 4 NaN NaN NaN NaN NaN NaN 5.230 0.648 1897 5 NaN NaN NaN NaN NaN NaN 12.136 -0.147 1897 6 NaN NaN NaN NaN NaN NaN 15.360 -2.198 1897 7 NaN NaN NaN NaN NaN NaN 20.791 0.504 1897 8 NaN NaN NaN NaN NaN NaN 17.494 -1.691 1897 9 NaN NaN NaN NaN NaN NaN 16.861 3.505 1897 10 6.379 -1.212 1 0 NaN NaN 9.113 1.961 1897 11 -5.521 -3.229 1 0 NaN NaN -5.656 -2.924 1897 12 -13.785 -2.685 0 0 -13.785 -2.685 -13.819 -2.279 1898 1 -10.600 5.319 0 0 -10.600 5.319 -11.871 4.488 1898 2 -12.222 -0.316 0 0 -12.222 -0.316 -11.200 1.145 1898 3 -3.533 1.281 0 0 -3.533 1.281 -4.653 0.601 1898 4 6.560 1.538 0 0 6.560 1.538 5.303 0.721 1898 5 12.065 -0.658 0 0 12.065 -0.658 11.414 -0.870 1898 6 17.462 -0.536 0 0 17.462 -0.536 16.825 -0.734 1898 7 20.027 -0.699 0 0 20.027 -0.699 19.383 -0.903 1898 8 19.250 -0.374 0 0 19.250 -0.374 18.010 -1.174 1898 9 14.260 0.464 1 0 NaN NaN 13.388 0.031 1898 10 NaN NaN NaN NaN NaN NaN 5.139 -2.012 1898 11 NaN NaN NaN NaN NaN NaN -4.928 -2.196 1898 12 -10.816 0.284 0 0 -10.816 0.284 -13.154 -1.614 1899 1 -14.647 1.272 0 0 -14.647 1.272 -17.399 -1.040 1899 2 -18.262 -6.357 0 0 -18.262 -6.357 -17.928 -5.583 1899 3 -13.040 -8.226 0 0 -13.040 -8.226 -13.122 -7.868 1899 4 4.902 -0.120 0 0 4.902 -0.120 4.028 -0.554 1899 5 11.890 -0.833 0 0 11.890 -0.833 10.796 -1.487 1899 6 NaN NaN NaN NaN NaN NaN 16.978 -0.580 1899 7 NaN NaN NaN NaN NaN NaN 19.903 -0.383 1899 8 NaN NaN NaN NaN NaN NaN 18.710 -0.475 1899 9 NaN NaN NaN NaN NaN NaN 11.551 -1.805 1899 10 6.218 -1.373 0 0 6.218 -1.373 7.819 0.668 1899 11 1.570 3.862 0 0 1.570 3.862 2.609 5.341 1899 12 NaN NaN NaN NaN NaN NaN -10.804 0.736 1900 1 NaN NaN NaN NaN NaN NaN -11.442 4.917 1900 2 NaN NaN NaN NaN NaN NaN -17.458 -5.112 1900 3 NaN NaN NaN NaN NaN NaN -7.676 -2.422 1900 4 NaN NaN NaN NaN NaN NaN 9.172 4.590 1900 5 NaN NaN NaN NaN NaN NaN 14.273 1.990 1900 6 NaN NaN NaN NaN NaN NaN 18.077 0.519 1900 7 NaN NaN NaN NaN NaN NaN 18.765 -1.521 1900 8 NaN NaN NaN NaN NaN NaN 21.877 2.692 1900 9 NaN NaN NaN NaN NaN NaN 12.849 -0.507 1900 10 NaN NaN NaN NaN NaN NaN 11.380 4.229 1900 11 NaN NaN NaN NaN NaN NaN -5.845 -3.113