% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39330 % Primary Name: MINNESOTA CITY % Record Type: TAVG % Country: United States % State: MN % Latitude: 43.58330 +/- 0.00005 % Longitude: -91.80000 +/- 0.00005 % Elevation (m): 225.55 +/- 0.15 % # of Months: 86 % % Alternate Names: Missing Station ID - 215486 % % IDs: coop - 215486 % ghcnd - USC00215486 % ncdc - 12002767 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: dd80ccf62a6bc455ed6a969355abd541 % Raw Data Hash: 4fff9e472ef11c73dba0bb2f24bce425 % Adj Data Hash: 7778985d7e66feed2ad9fd6b66319f31 % % 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 -12.715 -1.463 1892 2 NaN NaN NaN NaN NaN NaN -5.251 2.662 1892 3 NaN NaN NaN NaN NaN NaN -3.111 -1.599 1892 4 NaN NaN NaN NaN NaN NaN 5.444 -1.918 1892 5 NaN NaN NaN NaN NaN NaN 10.598 -3.632 1892 6 NaN NaN NaN NaN NaN NaN 17.871 -1.351 1892 7 NaN NaN NaN NaN NaN NaN 21.085 -0.575 1892 8 NaN NaN NaN NaN NaN NaN 20.225 -0.213 1892 9 NaN NaN NaN NaN NaN NaN 15.504 0.084 1892 10 NaN NaN NaN NaN NaN NaN 10.654 1.221 1892 11 NaN NaN NaN NaN NaN NaN -1.956 -2.749 1892 12 NaN NaN NaN NaN NaN NaN -9.830 -2.792 1893 1 -14.158 -4.154 0 0 -14.158 -4.154 -16.803 -5.551 1893 2 -9.762 -3.098 0 0 -9.762 -3.098 -11.977 -4.064 1893 3 -3.029 -2.766 0 0 -3.029 -2.766 -4.896 -3.385 1893 4 5.481 -3.129 0 0 5.481 -3.129 4.482 -2.880 1893 5 12.814 -2.665 0 0 12.814 -2.665 11.662 -2.568 1893 6 22.370 1.900 0 0 22.370 1.900 20.897 1.675 1893 7 23.692 0.783 0 0 23.692 0.783 22.238 0.578 1893 8 19.964 -1.723 0 0 19.964 -1.723 19.482 -0.956 1893 9 15.852 -0.817 0 0 15.852 -0.817 15.200 -0.221 1893 10 10.072 -0.610 0 0 10.072 -0.610 10.075 0.642 1893 11 -0.407 -2.450 0 0 -0.407 -2.450 -0.565 -1.359 1893 12 -8.500 -2.711 0 0 -8.500 -2.711 -9.862 -2.824 1894 1 -8.960 1.044 0 0 -8.960 1.044 -11.279 -0.026 1894 2 -7.679 -1.015 0 0 -7.679 -1.015 -9.607 -1.695 1894 3 3.118 3.381 0 0 3.118 3.381 1.158 2.669 1894 4 10.907 2.297 0 0 10.907 2.297 9.332 1.970 1894 5 15.143 -0.335 0 0 15.143 -0.335 14.318 0.088 1894 6 20.287 -0.183 0 0 20.287 -0.183 21.110 1.889 1894 7 22.491 -0.418 0 0 22.491 -0.418 23.181 1.521 1894 8 21.147 -0.540 0 0 21.147 -0.540 21.261 0.823 1894 9 16.926 0.257 0 0 16.926 0.257 16.216 0.796 1894 10 9.833 -0.848 0 0 9.833 -0.848 9.602 0.169 1894 11 -1.426 -3.468 0 0 -1.426 -3.468 -2.416 -3.210 1894 12 -1.882 3.907 0 0 -1.882 3.907 -3.066 3.972 1895 1 -12.814 -2.810 0 0 -12.814 -2.810 -14.623 -3.370 1895 2 -10.734 -4.070 0 0 -10.734 -4.070 -12.294 -4.381 1895 3 -1.389 -1.126 0 0 -1.389 -1.126 -2.735 -1.224 1895 4 11.296 2.686 0 0 11.296 2.686 10.234 2.873 1895 5 15.502 0.023 0 0 15.502 0.023 14.763 0.533 1895 6 19.074 -1.396 0 0 19.074 -1.396 19.471 0.249 1895 7 19.122 -3.787 0 0 19.122 -3.787 20.369 -1.291 1895 8 20.502 -1.185 0 0 20.502 -1.185 20.609 0.170 1895 9 19.278 2.609 0 0 19.278 2.609 17.730 2.310 1895 10 6.272 -4.409 0 0 6.272 -4.409 6.052 -3.381 1895 11 0.704 -1.339 0 0 0.704 -1.339 -0.285 -1.079 1895 12 -4.910 0.879 0 0 -4.910 0.879 -6.317 0.721 1896 1 -7.035 2.968 0 0 -7.035 2.968 -9.327 1.926 1896 2 -5.077 1.587 0 0 -5.077 1.587 -6.409 1.504 1896 3 -2.318 -2.055 0 0 -2.318 -2.055 -4.274 -2.762 1896 4 10.833 2.223 0 0 10.833 2.223 9.353 1.991 1896 5 18.495 3.016 0 0 18.495 3.016 17.195 2.965 1896 6 19.796 -0.674 0 0 19.796 -0.674 19.382 0.160 1896 7 21.631 -1.278 0 0 21.631 -1.278 20.922 -0.738 1896 8 21.241 -0.446 0 0 21.241 -0.446 20.474 0.036 1896 9 13.481 -3.187 0 0 13.481 -3.187 12.362 -3.058 1896 10 8.172 -2.509 0 0 8.172 -2.509 7.443 -1.990 1896 11 -2.519 -4.561 0 0 -2.519 -4.561 -3.891 -4.685 1896 12 -2.366 3.424 0 0 -2.366 3.424 -4.474 2.564 1897 1 -9.319 0.685 0 0 -9.319 0.685 -12.317 -1.064 1897 2 -5.079 1.585 0 0 -5.079 1.585 -6.800 1.113 1897 3 -1.963 -1.700 0 0 -1.963 -1.700 -4.403 -2.891 1897 4 9.222 0.612 0 0 9.222 0.612 7.282 -0.080 1897 5 14.265 -1.213 0 0 14.265 -1.213 12.823 -1.407 1897 6 19.148 -1.322 0 0 19.148 -1.322 17.582 -1.639 1897 7 23.148 0.239 0 0 23.148 0.239 22.473 0.813 1897 8 19.229 -2.458 0 0 19.229 -2.458 18.173 -2.266 1897 9 19.598 2.929 0 0 19.598 2.929 18.565 3.145 1897 10 13.047 2.365 0 0 13.047 2.365 12.117 2.685 1897 11 -0.241 -2.283 0 0 -0.241 -2.283 -1.210 -2.004 1897 12 -8.817 -3.028 0 0 -8.817 -3.028 -10.226 -3.189 1898 1 -5.785 4.219 0 0 -5.785 4.219 -7.746 3.507 1898 2 -5.595 1.069 0 0 -5.595 1.069 -7.073 0.840 1898 3 2.885 3.148 0 0 2.885 3.148 0.450 1.962 1898 4 8.130 -0.481 0 0 8.130 -0.481 6.780 -0.582 1898 5 14.995 -0.484 0 0 14.995 -0.484 13.815 -0.415 1898 6 19.777 -0.694 0 0 19.777 -0.694 19.578 0.356 1898 7 22.015 -0.894 0 0 22.015 -0.894 21.717 0.057 1898 8 20.373 -1.315 0 0 20.373 -1.315 19.915 -0.523 1898 9 17.372 0.703 0 0 17.372 0.703 16.416 0.996 1898 10 9.776 -0.905 0 0 9.776 -0.905 7.901 -1.532 1898 11 -0.278 -2.320 0 0 -0.278 -2.320 -1.186 -1.980 1898 12 -8.985 -3.196 0 0 -8.985 -3.196 -10.883 -3.846 1899 1 -9.785 0.219 0 0 -9.785 0.219 -11.590 -0.337 1899 2 -12.242 -5.578 0 0 -12.242 -5.578 -14.181 -6.268 1899 3 -5.806 -5.544 0 0 -5.806 -5.544 -8.442 -6.930 1899 4 10.000 1.389 0 0 10.000 1.389 8.280 0.918 1899 5 17.111 1.632 0 0 17.111 1.632 14.096 -0.134 1899 6 21.426 0.955 0 0 21.426 0.955 19.201 -0.021 1899 7 23.781 0.873 0 0 23.781 0.873 21.433 -0.227 1899 8 23.262 1.574 0 0 23.262 1.574 21.545 1.106 1899 9 15.185 -1.484 0 0 15.185 -1.484 13.768 -1.653 1899 10 12.706 2.025 0 0 12.706 2.025 11.837 2.405 1899 11 4.722 2.680 0 0 4.722 2.680 4.502 3.709 1899 12 -6.733 -0.944 0 0 -6.733 -0.944 -7.629 -0.591 1900 1 -4.384 5.619 0 0 -4.384 5.619 -7.482 3.770 1900 2 NaN NaN NaN NaN NaN NaN -13.066 -5.153 1900 3 NaN NaN NaN NaN NaN NaN -5.025 -3.513 1900 4 NaN NaN NaN NaN NaN NaN 9.643 2.281 1900 5 15.125 -0.354 1 0 NaN NaN 15.559 1.329 1900 6 NaN NaN NaN NaN NaN NaN 19.288 0.067 1900 7 NaN NaN NaN NaN NaN NaN 20.847 -0.813 1900 8 NaN NaN NaN NaN NaN NaN 24.074 3.636 1900 9 NaN NaN NaN NaN NaN NaN 15.532 0.112 1900 10 NaN NaN NaN NaN NaN NaN 14.156 4.723 1900 11 NaN NaN NaN NaN NaN NaN -1.780 -2.574 1900 12 NaN NaN NaN NaN NaN NaN -6.067 0.971 1901 1 NaN NaN NaN NaN NaN NaN -9.735 1.518 1901 2 NaN NaN NaN NaN NaN NaN -11.815 -3.902 1901 3 NaN NaN NaN NaN NaN NaN -2.740 -1.229 1901 4 NaN NaN NaN NaN NaN NaN 9.018 1.656 1901 5 NaN NaN NaN NaN NaN NaN 14.719 0.489