% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40674 % Primary Name: KNAPP % Record Type: TAVG % Country: United States % State: WI % Latitude: 44.95000 +/- 0.00500 % Longitude: -92.10000 +/- 0.00500 % Elevation (m): 289.56 +/- 0.15 % # of Months: 41 % % Alternate Names: Missing Station ID - 474230 % % IDs: coop - 474230 % ghcnd - USC00474230 % ncdc - 30002573 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2ae5b5e5d5fe4e4558170e9b717e1b46 % Raw Data Hash: b177725b0a7ebe24281cb98ee0b8f358 % Adj Data Hash: 227f7027b82afa9e436b9712d64a1484 % % 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 1897 1 NaN NaN NaN NaN NaN NaN -12.317 -1.064 1897 2 NaN NaN NaN NaN NaN NaN -6.800 1.113 1897 3 NaN NaN NaN NaN NaN NaN -4.403 -2.891 1897 4 NaN NaN NaN NaN NaN NaN 7.282 -0.080 1897 5 NaN NaN NaN NaN NaN NaN 12.823 -1.407 1897 6 NaN NaN NaN NaN NaN NaN 17.582 -1.639 1897 7 NaN NaN NaN NaN NaN NaN 22.473 0.813 1897 8 NaN NaN NaN NaN NaN NaN 18.173 -2.266 1897 9 NaN NaN NaN NaN NaN NaN 18.565 3.145 1897 10 NaN NaN NaN NaN NaN NaN 12.117 2.685 1897 11 NaN NaN NaN NaN NaN NaN -1.210 -2.004 1897 12 NaN NaN NaN NaN NaN NaN -10.226 -3.189 1898 1 -6.282 5.576 1 0 NaN NaN -7.746 3.507 1898 2 -6.627 1.891 0 0 -6.923 1.595 -7.073 0.840 1898 3 1.022 3.138 0 0 0.726 2.842 0.450 1.962 1898 4 6.264 -0.492 0 0 5.969 -0.788 6.780 -0.582 1898 5 13.244 -0.381 0 0 12.948 -0.677 13.815 -0.415 1898 6 19.204 0.587 0 0 18.908 0.291 19.578 0.356 1898 7 20.950 -0.105 0 0 20.654 -0.401 21.717 0.057 1898 8 19.122 -0.712 0 0 18.826 -1.007 19.915 -0.523 1898 9 15.259 0.444 0 0 14.964 0.149 16.416 0.996 1898 10 6.470 -2.358 0 0 6.174 -2.654 7.901 -1.532 1898 11 -1.926 -2.115 0 0 -2.221 -2.410 -1.186 -1.980 1898 12 -11.237 -3.594 0 0 -11.532 -3.889 -10.883 -3.846 1899 1 -11.559 0.298 0 0 -11.855 0.003 -11.590 -0.337 1899 2 -15.082 -6.564 0 0 -15.378 -6.860 -14.181 -6.268 1899 3 -8.907 -6.790 0 0 -9.202 -7.086 -8.442 -6.930 1899 4 7.037 0.280 0 4 7.255 0.498 8.280 0.918 1899 5 13.044 -0.581 0 0 13.261 -0.364 14.096 -0.134 1899 6 18.481 -0.135 0 0 18.699 0.082 19.201 -0.021 1899 7 NaN NaN NaN NaN NaN NaN 21.433 -0.227 1899 8 20.340 0.507 0 0 20.558 0.725 21.545 1.106 1899 9 12.611 -2.204 0 0 12.829 -1.986 13.768 -1.653 1899 10 8.241 -0.587 0 0 8.459 -0.369 11.837 2.405 1899 11 NaN NaN NaN NaN NaN NaN 4.502 3.709 1899 12 NaN NaN NaN NaN NaN NaN -7.629 -0.591 1900 1 -7.151 4.707 0 0 -6.933 4.925 -7.482 3.770 1900 2 -15.020 -6.502 0 0 -14.802 -6.284 -13.066 -5.153 1900 3 -5.363 -3.247 0 0 -5.145 -3.029 -5.025 -3.513 1900 4 9.222 2.465 0 0 9.440 2.683 9.643 2.281 1900 5 14.062 0.437 1 0 NaN NaN 15.559 1.329 1900 6 17.037 -1.580 1 0 NaN NaN 19.288 0.067 1900 7 20.019 -1.037 0 0 20.236 -0.819 20.847 -0.813 1900 8 23.142 3.308 0 0 23.360 3.526 24.074 3.636 1900 9 14.521 -0.294 0 0 14.739 -0.076 15.532 0.112 1900 10 11.591 2.763 0 0 11.808 2.981 14.156 4.723 1900 11 -3.562 -3.750 0 0 -3.344 -3.533 -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 1901 6 NaN NaN NaN NaN NaN NaN 20.047 0.826 1901 7 24.710 3.655 1 0 NaN NaN 24.848 3.188 1901 8 20.560 0.727 0 0 20.778 0.944 21.222 0.783 1901 9 15.047 0.232 1 0 NaN NaN 14.499 -0.921 1901 10 8.704 -0.124 0 0 8.921 0.094 10.801 1.368 1901 11 -1.686 -1.875 1 0 NaN NaN -0.500 -1.294 1901 12 -2.503 5.140 1 0 NaN NaN -9.458 -2.421 1902 1 -4.362 7.496 0 0 -4.144 7.713 -9.255 1.997 1902 2 NaN NaN NaN NaN NaN NaN -9.630 -1.718 1902 3 4.823 6.940 0 0 5.041 7.157 1.429 2.941 1902 4 NaN NaN NaN NaN NaN NaN 6.913 -0.449 1902 5 NaN NaN NaN NaN NaN NaN 15.171 0.941 1902 6 20.493 1.876 1 0 NaN NaN 16.672 -2.550 1902 7 NaN NaN NaN NaN NaN NaN 21.307 -0.353 1902 8 NaN NaN NaN NaN NaN NaN 18.535 -1.903 1902 9 NaN NaN NaN NaN NaN NaN 13.379 -2.041 1902 10 NaN NaN NaN NaN NaN NaN 9.963 0.531 1902 11 NaN NaN NaN NaN NaN NaN 3.326 2.532 1902 12 NaN NaN NaN NaN NaN NaN -8.965 -1.927 1903 1 NaN NaN NaN NaN NaN NaN -10.583 0.670 1903 2 NaN NaN NaN NaN NaN NaN -9.653 -1.740 1903 3 NaN NaN NaN NaN NaN NaN 0.999 2.511 1903 4 NaN NaN NaN NaN NaN NaN 7.678 0.316 1903 5 NaN NaN NaN NaN NaN NaN 14.813 0.583 1903 6 NaN NaN NaN NaN NaN NaN 16.817 -2.405