% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39687 % Primary Name: NEW HOLSTEIN % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.95000 +/- 0.00005 % Longitude: -88.08330 +/- 0.00005 % Elevation (m): 280.11 +/- 0.15 % # of Months: 94 % % Alternate Names: Missing Station ID - 475910 % % IDs: coop - 475910 % ghcnd - USC00475910 % ncdc - 30002578 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a686ced9759fb096ceb3cf7b30d01e15 % Raw Data Hash: 9b8574ca24e281fd7c394b6100690d76 % Adj Data Hash: d3f22cb8f5730e2d8811b14a1b994b9a % % 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 -8.152 -2.114 1892 2 NaN NaN NaN NaN NaN NaN -3.685 1.523 1892 3 NaN NaN NaN NaN NaN NaN -2.737 -1.936 1892 4 NaN NaN NaN NaN NaN NaN 4.599 -1.300 1892 5 NaN NaN NaN NaN NaN NaN 9.243 -2.458 1892 6 NaN NaN NaN NaN NaN NaN 15.970 -0.777 1892 7 NaN NaN NaN NaN NaN NaN 19.540 -0.242 1892 8 NaN NaN NaN NaN NaN NaN 18.750 -0.739 1892 9 NaN NaN NaN NaN NaN NaN 15.383 -0.258 1892 10 NaN NaN NaN NaN NaN NaN 10.446 0.087 1892 11 NaN NaN NaN NaN NaN NaN 1.344 -2.582 1892 12 NaN NaN NaN NaN NaN NaN -5.184 -2.748 1893 1 -13.254 -7.040 0 0 -13.254 -7.040 -10.975 -4.937 1893 2 -12.263 -6.878 0 0 -12.263 -6.878 -8.715 -3.507 1893 3 -4.713 -3.735 0 0 -4.713 -3.735 -2.951 -2.150 1893 4 4.889 -0.833 0 0 4.889 -0.833 4.170 -1.729 1893 5 12.760 1.236 0 0 12.760 1.236 9.223 -2.479 1893 6 20.315 3.744 0 0 20.315 3.744 17.944 1.197 1893 7 20.645 1.040 0 0 20.645 1.040 19.749 -0.033 1893 8 18.046 -1.266 0 0 18.046 -1.266 17.978 -1.511 1893 9 NaN NaN NaN NaN NaN NaN 14.451 -1.190 1893 10 NaN NaN NaN NaN NaN NaN 10.507 0.149 1893 11 2.671 -1.078 0 0 2.671 -1.078 2.698 -1.229 1893 12 -8.519 -5.905 0 0 -8.519 -5.905 -4.922 -2.485 1894 1 -7.151 -0.936 0 0 -7.151 -0.936 -4.447 1.590 1894 2 -7.579 -2.194 0 0 -7.579 -2.194 -6.769 -1.561 1894 3 3.369 4.347 0 0 3.369 4.347 2.523 3.324 1894 4 7.667 1.945 0 0 7.667 1.945 7.184 1.285 1894 5 11.685 0.160 0 0 11.685 0.160 10.391 -1.310 1894 6 NaN NaN NaN NaN NaN NaN 18.510 1.763 1894 7 NaN NaN NaN NaN NaN NaN 20.291 0.509 1894 8 20.125 0.814 0 0 20.125 0.814 18.617 -0.872 1894 9 16.370 0.906 0 0 16.370 0.906 16.634 0.993 1894 10 9.837 -0.344 0 0 9.837 -0.344 10.188 -0.170 1894 11 NaN NaN NaN NaN NaN NaN 1.008 -2.919 1894 12 -2.510 0.104 0 0 -2.510 0.104 -0.090 2.346 1895 1 -11.165 -4.950 0 0 -11.165 -4.950 -8.465 -2.427 1895 2 -11.944 -6.559 0 0 -11.944 -6.559 -9.397 -4.189 1895 3 -1.577 -0.599 0 0 -1.577 -0.599 -3.555 -2.754 1895 4 9.333 3.611 0 0 9.333 3.611 7.032 1.133 1895 5 14.892 3.368 0 0 14.892 3.368 12.243 0.542 1895 6 22.255 5.685 1 0 NaN NaN 17.917 1.170 1895 7 20.287 0.682 0 0 20.287 0.682 18.167 -1.615 1895 8 20.627 1.315 0 0 20.627 1.315 19.130 -0.359 1895 9 18.259 2.795 0 0 18.259 2.795 17.499 1.858 1895 10 NaN NaN NaN NaN NaN NaN 6.826 -3.532 1895 11 0.517 -3.232 0 0 0.517 -3.232 2.199 -1.728 1895 12 -1.577 1.036 0 0 -1.577 1.036 -1.917 0.519 1896 1 -7.414 -1.199 0 0 -7.414 -1.199 -4.802 1.235 1896 2 -5.198 0.187 0 0 -5.198 0.187 -4.891 0.317 1896 3 -2.993 -2.015 0 0 -2.993 -2.015 -3.803 -3.002 1896 4 NaN NaN NaN NaN NaN NaN 8.327 2.428 1896 5 17.500 5.976 0 0 17.500 5.976 15.392 3.691 1896 6 19.037 2.467 0 0 19.037 2.467 17.405 0.658 1896 7 20.878 1.273 0 0 20.878 1.273 19.520 -0.262 1896 8 21.097 1.785 0 0 21.097 1.785 19.830 0.342 1896 9 13.963 -1.501 0 0 13.963 -1.501 13.079 -2.562 1896 10 NaN NaN NaN NaN NaN NaN 7.971 -2.387 1896 11 0.824 -2.926 0 0 0.824 -2.926 2.155 -1.771 1896 12 -4.821 -2.207 0 0 -4.821 -2.207 -1.438 0.999 1897 1 -9.160 -2.945 0 0 -9.160 -2.945 -5.454 0.583 1897 2 -4.921 0.464 0 0 -4.921 0.464 -3.905 1.303 1897 3 -1.685 -0.707 0 0 -1.685 -0.707 -2.438 -1.637 1897 4 6.185 0.463 0 0 6.185 0.463 5.427 -0.472 1897 5 12.509 0.985 0 0 12.509 0.985 10.100 -1.601 1897 6 18.630 2.059 0 0 18.630 2.059 14.967 -1.780 1897 7 22.151 2.545 0 0 22.151 2.545 21.040 1.258 1897 8 17.885 -1.427 0 0 17.885 -1.427 17.474 -2.014 1897 9 19.574 4.110 0 0 19.574 4.110 17.798 2.157 1897 10 14.068 3.887 0 0 14.068 3.887 12.354 1.996 1897 11 NaN NaN NaN NaN NaN NaN 2.308 -1.618 1897 12 NaN NaN NaN NaN NaN NaN -4.479 -2.043 1898 1 -8.407 -2.193 0 0 -8.407 -2.193 -3.982 2.056 1898 2 -6.766 -1.381 0 0 -6.766 -1.381 -4.764 0.444 1898 3 0.589 1.567 0 0 0.589 1.567 1.217 2.018 1898 4 7.185 1.463 0 0 7.185 1.463 5.472 -0.427 1898 5 12.258 0.734 0 0 12.258 0.734 11.219 -0.483 1898 6 NaN NaN NaN NaN NaN NaN 16.955 0.208 1898 7 20.699 1.094 0 0 20.699 1.094 19.686 -0.096 1898 8 18.826 -0.486 0 0 18.826 -0.486 18.611 -0.878 1898 9 16.858 1.394 0 0 16.858 1.394 16.813 1.172 1898 10 9.040 -1.141 0 0 9.040 -1.141 9.729 -0.629 1898 11 NaN NaN NaN NaN NaN NaN 3.057 -0.870 1898 12 -12.092 -9.479 0 0 -12.092 -9.479 -5.257 -2.821 1899 1 -10.547 -4.332 0 0 -10.547 -4.332 -7.228 -1.190 1899 2 -11.346 -5.961 0 0 -11.346 -5.961 -10.590 -5.382 1899 3 -6.738 -5.760 0 0 -6.738 -5.760 -5.659 -4.858 1899 4 9.597 3.875 0 0 9.597 3.875 7.857 1.958 1899 5 13.560 2.035 0 0 13.560 2.035 11.971 0.270 1899 6 18.035 1.465 0 0 18.035 1.465 17.054 0.306 1899 7 20.639 1.034 0 0 20.639 1.034 19.231 -0.551 1899 8 20.753 1.441 0 0 20.753 1.441 20.360 0.872 1899 9 13.357 -2.107 0 0 13.357 -2.107 13.592 -2.049 1899 10 12.445 2.264 0 0 12.445 2.264 12.395 2.037 1899 11 4.658 0.909 0 0 4.658 0.909 6.539 2.612 1899 12 -4.147 -1.533 0 0 -4.147 -1.533 -2.594 -0.157 1900 1 -6.192 0.022 0 0 -6.192 0.022 -3.454 2.584 1900 2 -10.275 -4.890 0 0 -10.275 -4.890 -8.854 -3.646 1900 3 -4.479 -3.501 0 0 -4.479 -3.501 -4.582 -3.781 1900 4 10.517 4.795 0 0 10.517 4.795 7.505 1.606 1900 5 NaN NaN NaN NaN NaN NaN 12.439 0.738 1900 6 18.018 1.448 0 0 18.018 1.448 16.059 -0.688 1900 7 NaN NaN NaN NaN NaN NaN 18.603 -1.179 1900 8 NaN NaN NaN NaN NaN NaN 22.481 2.993 1900 9 NaN NaN NaN NaN NaN NaN 16.882 1.241 1900 10 NaN NaN NaN NaN NaN NaN 14.749 4.391 1900 11 NaN NaN NaN NaN NaN NaN 2.464 -1.462 1900 12 -1.217 1.396 1 0 NaN NaN -1.819 0.618 1901 1 -6.914 -0.700 1 0 NaN NaN -5.475 0.563 1901 2 NaN NaN NaN NaN NaN NaN -9.142 -3.934 1901 3 NaN NaN NaN NaN NaN NaN -2.425 -1.624 1901 4 NaN NaN NaN NaN NaN NaN 7.143 1.244 1901 5 NaN NaN NaN NaN NaN NaN 11.254 -0.447 1901 6 19.204 2.633 0 0 19.204 2.633 17.411 0.664 1901 7 23.244 3.639 0 0 23.244 3.639 22.043 2.261 1901 8 20.842 1.530 0 0 20.842 1.530 19.712 0.223 1901 9 16.624 1.160 0 0 16.624 1.160 15.282 -0.359 1901 10 10.920 0.738 0 0 10.920 0.738 11.080 0.722 1901 11 0.321 -3.429 0 0 0.321 -3.429 2.579 -1.347 1901 12 -8.389 -5.775 0 0 -8.389 -5.775 -4.413 -1.977 1902 1 -6.624 -0.410 0 0 -6.624 -0.410 -5.111 0.926 1902 2 NaN NaN NaN NaN NaN NaN -6.376 -1.168 1902 3 2.299 3.277 0 0 2.299 3.277 2.041 2.842 1902 4 NaN NaN NaN NaN NaN NaN 5.985 0.087 1902 5 14.068 2.544 0 0 14.068 2.544 11.937 0.236 1902 6 NaN NaN NaN NaN NaN NaN 14.432 -2.315 1902 7 NaN NaN NaN NaN NaN NaN 19.850 0.067 1902 8 NaN NaN NaN NaN NaN NaN 17.469 -2.020 1902 9 13.887 -1.577 0 0 13.887 -1.577 14.088 -1.552 1902 10 9.802 -0.379 0 0 9.802 -0.379 10.168 -0.190 1902 11 4.600 0.851 0 0 4.600 0.851 7.302 3.376 1902 12 -6.418 -3.804 0 0 -6.418 -3.804 -3.330 -0.894 1903 1 -10.341 -4.126 0 0 -10.341 -4.126 -5.976 0.061 1903 2 NaN NaN NaN NaN NaN NaN -5.794 -0.586 1903 3 NaN NaN NaN NaN NaN NaN 2.952 3.753 1903 4 NaN NaN NaN NaN NaN NaN 6.092 0.193 1903 5 NaN NaN NaN NaN NaN NaN 12.288 0.587 1903 6 NaN NaN NaN NaN NaN NaN 14.619 -2.128 1903 7 NaN NaN NaN NaN NaN NaN 19.173 -0.609 1903 8 NaN NaN NaN NaN NaN NaN 16.907 -2.582 1903 9 NaN NaN NaN NaN NaN NaN 15.059 -0.581 1903 10 NaN NaN NaN NaN NaN NaN 10.504 0.146 1903 11 NaN NaN NaN NaN NaN NaN 1.853 -2.074 1903 12 NaN NaN NaN NaN NaN NaN -6.878 -4.441 1904 1 NaN NaN NaN NaN NaN NaN -10.172 -4.134