% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36422 % Primary Name: ARBORVILLE % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.03330 +/- 0.00005 % Longitude: -97.78330 +/- 0.00005 % Elevation (m): 529.20 +/- 16.61 % # of Months: 118 % % Alternate Names: Missing Station ID - 250310 % % IDs: coop - 250310 % ghcnd - USC00250310 % ncdc - 12003225 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b4cd7e6a20f7ec9294e73f852910d1ac % Raw Data Hash: d723463377bf271fa1aa78ae62d8a847 % Adj Data Hash: ab4bae4de13fa9eac4e6ff08e526f1c3 % % 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 -8.307 -2.243 1892 2 NaN NaN NaN NaN NaN NaN -1.705 0.678 1892 3 NaN NaN NaN NaN NaN NaN 0.109 -2.466 1892 4 NaN NaN NaN NaN NaN NaN 8.653 -1.642 1892 5 NaN NaN NaN NaN NaN NaN 11.563 -4.969 1892 6 NaN NaN NaN NaN NaN NaN 21.308 -0.722 1892 7 NaN NaN NaN NaN NaN NaN 24.079 -0.769 1892 8 NaN NaN NaN NaN NaN NaN 22.858 -0.855 1892 9 NaN NaN NaN NaN NaN NaN 18.844 0.461 1892 10 NaN NaN NaN NaN NaN NaN 13.074 1.125 1892 11 NaN NaN NaN NaN NaN NaN 2.570 -0.867 1892 12 NaN NaN NaN NaN NaN NaN -5.316 -2.514 1893 1 -4.148 1.802 0 0 -4.148 1.802 -6.594 -0.530 1893 2 -5.794 -3.524 0 0 -5.794 -3.524 -5.808 -3.425 1893 3 -1.132 -3.821 1 0 NaN NaN -0.679 -3.254 1893 4 7.778 -2.631 0 0 7.778 -2.631 8.886 -1.409 1893 5 13.244 -3.402 0 0 13.244 -3.402 14.437 -2.095 1893 6 22.537 0.394 0 0 22.537 0.394 22.863 0.833 1893 7 26.792 1.831 0 0 26.792 1.831 24.781 -0.067 1893 8 22.258 -1.569 0 0 22.258 -1.569 21.913 -1.801 1893 9 19.444 0.949 0 0 19.444 0.949 18.833 0.451 1893 10 NaN NaN NaN NaN NaN NaN 11.605 -0.344 1893 11 0.852 -2.699 0 0 0.852 -2.699 1.798 -1.639 1893 12 -0.824 1.865 0 0 -0.824 1.865 -2.092 0.710 1894 1 -6.828 -0.877 0 0 -6.828 -0.877 -7.489 -1.425 1894 2 -5.988 -3.718 1 0 NaN NaN -6.678 -4.295 1894 3 4.928 2.240 0 0 4.928 2.240 4.010 1.435 1894 4 11.037 0.629 0 0 11.037 0.629 12.013 1.718 1894 5 16.685 0.039 0 0 16.685 0.039 17.132 0.601 1894 6 23.852 1.709 0 0 23.852 1.709 22.672 0.642 1894 7 27.007 2.046 0 0 27.007 2.046 24.896 0.048 1894 8 27.491 3.664 0 0 27.491 3.664 24.909 1.195 1894 9 19.833 1.337 0 0 19.833 1.337 18.655 0.273 1894 10 13.835 1.773 0 0 13.835 1.773 12.730 0.782 1894 11 0.315 -3.236 0 0 0.315 -3.236 2.408 -1.029 1894 12 0.352 3.041 0 0 0.352 3.041 -0.700 2.102 1895 1 -8.136 -2.186 0 0 -8.136 -2.186 -8.608 -2.544 1895 2 -5.972 -3.703 0 0 -5.972 -3.703 -6.102 -3.719 1895 3 1.685 -1.004 0 0 1.685 -1.004 1.973 -0.602 1895 4 13.111 2.703 0 0 13.111 2.703 13.761 3.466 1895 5 17.742 1.097 0 0 17.742 1.097 16.954 0.422 1895 6 NaN NaN NaN NaN NaN NaN 21.051 -0.978 1895 7 23.315 -1.647 0 0 23.315 -1.647 23.222 -1.626 1895 8 24.211 0.384 0 0 24.211 0.384 22.970 -0.744 1895 9 21.630 3.134 0 0 21.630 3.134 20.231 1.849 1895 10 9.355 -2.708 0 0 9.355 -2.708 9.654 -2.295 1895 11 3.111 -0.440 0 0 3.111 -0.440 1.991 -1.446 1895 12 -1.039 1.650 0 0 -1.039 1.650 -1.780 1.022 1896 1 -1.129 4.821 0 0 -1.129 4.821 -2.904 3.160 1896 2 -0.536 1.733 1 0 NaN NaN 0.506 2.889 1896 3 -1.774 -4.463 0 0 -1.774 -4.463 -1.399 -3.974 1896 4 11.981 1.573 0 0 11.981 1.573 12.555 2.260 1896 5 17.455 0.810 0 0 17.455 0.810 18.065 1.533 1896 6 21.037 -1.106 0 0 21.037 -1.106 21.681 -0.348 1896 7 23.226 -1.736 0 0 23.226 -1.736 23.599 -1.249 1896 8 22.563 -1.265 0 0 22.563 -1.265 22.911 -0.803 1896 9 16.815 -1.681 0 0 16.815 -1.681 15.493 -2.890 1896 10 11.057 -1.005 0 0 11.057 -1.005 10.060 -1.889 1896 11 -0.704 -4.254 0 0 -0.704 -4.254 -2.290 -5.727 1896 12 3.208 5.897 0 0 3.208 5.897 1.644 4.446 1897 1 -3.978 1.972 0 0 -3.978 1.972 -6.183 -0.119 1897 2 -3.016 -0.747 0 0 -3.016 -0.747 -2.219 0.163 1897 3 1.254 -1.434 0 0 1.254 -1.434 0.779 -1.796 1897 4 9.056 -1.353 0 0 9.056 -1.353 9.627 -0.668 1897 5 15.125 -1.520 0 0 15.125 -1.520 15.815 -0.717 1897 6 21.333 -0.810 0 0 21.333 -0.810 21.511 -0.519 1897 7 25.717 0.755 0 0 25.717 0.755 24.919 0.071 1897 8 22.563 -1.265 0 0 22.563 -1.265 21.639 -2.075 1897 9 22.648 4.152 0 0 22.648 4.152 21.887 3.505 1897 10 12.599 0.536 0 0 12.599 0.536 13.647 1.698 1897 11 1.796 -1.754 0 0 1.796 -1.754 1.436 -2.001 1897 12 -4.462 -1.773 1 0 NaN NaN -5.219 -2.417 1898 1 -0.932 5.019 0 0 -0.932 5.019 -3.188 2.876 1898 2 -0.278 1.991 0 0 -0.278 1.991 -0.841 1.542 1898 3 2.222 -0.466 0 0 2.222 -0.466 2.064 -0.511 1898 4 8.148 -2.260 0 0 8.148 -2.260 9.734 -0.561 1898 5 14.749 -1.896 0 0 14.749 -1.896 14.717 -1.815 1898 6 21.870 -0.273 0 0 21.870 -0.273 21.955 -0.075 1898 7 23.728 -1.234 0 0 23.728 -1.234 23.877 -0.971 1898 8 24.892 1.065 0 0 24.892 1.065 23.892 0.178 1898 9 18.651 0.155 0 0 18.651 0.155 18.060 -0.323 1898 10 7.276 -4.787 0 0 7.276 -4.787 9.252 -2.697 1898 11 1.389 -2.162 0 0 1.389 -2.162 0.127 -3.310 1898 12 -4.278 -1.589 1 0 NaN NaN -4.709 -1.906 1899 1 -4.355 1.596 0 0 -4.355 1.596 -5.869 0.195 1899 2 -11.012 -8.743 0 0 -11.012 -8.743 -10.426 -8.044 1899 3 -3.208 -5.896 0 0 -3.208 -5.896 -3.453 -6.028 1899 4 8.037 -2.371 0 0 8.037 -2.371 10.170 -0.125 1899 5 16.452 -0.194 0 0 16.452 -0.194 16.268 -0.263 1899 6 22.630 0.486 0 0 22.630 0.486 22.045 0.015 1899 7 22.903 -2.058 0 0 22.903 -2.058 23.201 -1.647 1899 8 24.731 0.904 0 0 24.731 0.904 24.450 0.736 1899 9 19.611 1.115 0 0 19.611 1.115 18.016 -0.366 1899 10 15.645 3.583 0 0 15.645 3.583 13.959 2.010 1899 11 6.593 3.042 0 0 6.593 3.042 6.630 3.193 1899 12 -3.262 -0.573 0 0 -3.262 -0.573 -3.756 -0.953 1900 1 -2.419 3.531 0 0 -2.419 3.531 -2.327 3.737 1900 2 -7.262 -4.993 0 0 -7.262 -4.993 -6.923 -4.541 1900 3 1.738 -0.950 0 0 1.738 -0.950 1.758 -0.817 1900 4 11.556 1.147 0 0 11.556 1.147 11.930 1.635 1900 5 17.903 1.258 0 0 17.903 1.258 17.840 1.309 1900 6 23.185 1.042 0 0 23.185 1.042 22.627 0.597 1900 7 23.280 -1.682 0 0 23.280 -1.682 24.433 -0.415 1900 8 24.778 0.950 0 0 24.778 0.950 25.555 1.841 1900 9 18.481 -0.014 0 0 18.481 -0.014 18.401 0.019 1900 10 14.389 2.326 0 0 14.389 2.326 15.194 3.245 1900 11 0.926 -2.625 0 0 0.926 -2.625 1.979 -1.458 1900 12 -1.129 1.560 0 0 -1.129 1.560 -0.008 2.795 1901 1 -3.746 2.205 0 0 -3.746 2.205 -4.148 1.916 1901 2 -5.000 -2.731 0 0 -5.000 -2.731 -5.543 -3.160 1901 3 0.986 -1.703 0 0 0.986 -1.703 1.623 -0.951 1901 4 8.667 -1.742 0 0 8.667 -1.742 10.066 -0.229 1901 5 15.358 -1.287 0 0 15.358 -1.287 15.992 -0.540 1901 6 23.037 0.894 0 0 23.037 0.894 23.180 1.151 1901 7 29.265 4.304 0 0 29.265 4.304 28.962 4.114 1901 8 25.520 1.692 0 0 25.520 1.692 24.476 0.762 1901 9 16.889 -1.607 0 0 16.889 -1.607 17.343 -1.039 1901 10 12.581 0.518 0 0 12.581 0.518 13.514 1.565 1901 11 3.370 -0.180 0 0 3.370 -0.180 3.936 0.499 1901 12 -4.373 -1.684 1 0 NaN NaN -4.477 -1.674 1902 1 -4.086 1.864 0 0 -4.086 1.864 -4.944 1.120 1902 2 -5.278 -3.009 0 0 -5.278 -3.009 -5.463 -3.080 1902 3 3.944 1.256 0 0 3.944 1.256 4.055 1.480 1902 4 8.259 -2.149 0 0 8.259 -2.149 10.315 0.020 1902 5 18.148 1.503 0 0 18.148 1.503 18.021 1.490 1902 6 17.778 -4.365 0 0 17.778 -4.365 19.160 -2.870 1902 7 23.172 -1.789 0 0 23.172 -1.789 22.943 -1.905 1902 8 21.147 -2.680 0 0 21.147 -2.680 22.255 -1.459 1902 9 13.815 -4.681 0 0 13.815 -4.681 15.196 -3.186 1902 10 11.183 -0.880 0 0 11.183 -0.880 13.023 1.074 1902 11 3.315 -0.236 0 0 3.315 -0.236 4.020 0.583 1902 12 -6.852 -4.163 1 0 NaN NaN -6.478 -3.676 1903 1 NaN NaN NaN NaN NaN NaN -4.141 1.923 1903 2 NaN NaN NaN NaN NaN NaN -6.564 -4.181 1903 3 NaN NaN NaN NaN NaN NaN 1.855 -0.720 1903 4 NaN NaN NaN NaN NaN NaN 10.709 0.414 1903 5 NaN NaN NaN NaN NaN NaN 15.342 -1.190 1903 6 NaN NaN NaN NaN NaN NaN 18.663 -3.367 1903 7 NaN NaN NaN NaN NaN NaN 23.649 -1.199 1903 8 NaN NaN NaN NaN NaN NaN 21.685 -2.029 1903 9 NaN NaN NaN NaN NaN NaN 16.169 -2.213 1903 10 NaN NaN NaN NaN NaN NaN 13.114 1.165 1903 11 NaN NaN NaN NaN NaN NaN 2.904 -0.533 1903 12 NaN NaN NaN NaN NaN NaN -2.270 0.532