% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38279 % Primary Name: GRATIOT % Record Type: TAVG % Country: United States % State: WI % Latitude: 42.58330 +/- 0.00005 % Longitude: -90.05000 +/- 0.00005 % Elevation (m): 243.23 +/- 0.15 % # of Months: 36 % % Alternate Names: Missing Station ID - 473250 % % IDs: coop - 473250 % ghcnd - USC00473250 % ncdc - 30002571 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a8d0deca68abba180cd4741fe44fe322 % Raw Data Hash: 03f130aa62daa70b171d4b29a622deca % Adj Data Hash: 217d349716481b49930fca1cb7412a29 % % 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 1895 7 NaN NaN NaN NaN NaN NaN 21.399 -0.961 1895 8 NaN NaN NaN NaN NaN NaN 21.920 0.662 1895 9 NaN NaN NaN NaN NaN NaN 19.298 2.464 1895 10 NaN NaN NaN NaN NaN NaN 7.052 -3.562 1895 11 NaN NaN NaN NaN NaN NaN 0.900 -1.772 1895 12 NaN NaN NaN NaN NaN NaN -3.798 0.819 1896 1 NaN NaN NaN NaN NaN NaN -6.162 2.165 1896 2 NaN NaN NaN NaN NaN NaN -5.227 0.173 1896 3 NaN NaN NaN NaN NaN NaN -2.248 -2.717 1896 4 NaN NaN NaN NaN NaN NaN 11.819 3.361 1896 5 NaN NaN NaN NaN NaN NaN 18.917 4.001 1896 6 NaN NaN NaN NaN NaN NaN 20.235 0.176 1896 7 22.626 0.274 1 0 NaN NaN 21.773 -0.587 1896 8 21.434 0.183 0 0 21.434 0.183 21.283 0.025 1896 9 14.611 -2.216 0 0 14.611 -2.216 14.198 -2.637 1896 10 7.849 -2.757 0 0 7.849 -2.757 8.133 -2.481 1896 11 0.000 -2.664 0 0 0.000 -2.664 0.653 -2.019 1896 12 -1.756 2.868 0 0 -1.756 2.868 -2.473 2.144 1897 1 -7.244 1.090 0 0 -7.244 1.090 -8.950 -0.623 1897 2 -3.829 1.579 0 0 -3.829 1.579 -4.310 1.091 1897 3 -0.878 -1.339 0 0 -0.878 -1.339 -1.207 -1.676 1897 4 9.688 1.237 1 0 NaN NaN 8.030 -0.428 1897 5 14.409 -0.500 0 0 14.409 -0.500 13.686 -1.230 1897 6 14.949 -5.102 0 0 14.949 -5.102 19.034 -1.025 1897 7 27.778 5.426 1 0 NaN NaN 23.319 0.959 1897 8 19.563 -1.687 0 0 19.563 -1.687 19.366 -1.892 1897 9 20.056 3.228 0 0 20.056 3.228 19.738 2.903 1897 10 12.778 2.171 0 0 12.778 2.171 13.345 2.731 1897 11 0.815 -1.849 0 0 0.815 -1.849 1.121 -1.550 1897 12 -7.563 -2.939 0 0 -7.563 -2.939 -7.587 -2.970 1898 1 -4.928 3.406 0 0 -4.928 3.406 -6.146 2.181 1898 2 -5.556 -0.147 0 0 -5.556 -0.147 -5.437 -0.036 1898 3 3.056 2.594 0 0 3.056 2.594 2.191 1.723 1898 4 6.815 -1.635 0 0 6.815 -1.635 7.580 -0.878 1898 5 13.925 -0.984 0 0 13.925 -0.984 14.220 -0.697 1898 6 20.204 0.152 0 0 20.204 0.152 20.601 0.542 1898 7 NaN NaN NaN NaN NaN NaN 22.251 -0.109 1898 8 19.498 -1.752 0 0 19.498 -1.752 20.589 -0.669 1898 9 16.167 -0.661 0 0 16.167 -0.661 17.911 1.077 1898 10 NaN NaN NaN NaN NaN NaN 9.181 -1.433 1898 11 -0.278 -2.942 0 0 -0.278 -2.942 0.770 -1.902 1898 12 -9.032 -4.408 0 0 -9.032 -4.408 -7.872 -3.255 1899 1 -8.943 -0.608 0 0 -8.943 -0.608 -8.575 -0.248 1899 2 -10.496 -5.088 0 0 -10.496 -5.088 -10.695 -5.294 1899 3 NaN NaN NaN NaN NaN NaN -4.190 -4.658 1899 4 8.833 0.383 0 0 8.833 0.383 9.979 1.522 1899 5 14.946 0.037 0 0 14.946 0.037 15.021 0.105 1899 6 NaN NaN NaN NaN NaN NaN 20.695 0.636 1899 7 23.728 1.375 0 0 23.728 1.375 21.964 -0.396 1899 8 NaN NaN NaN NaN NaN NaN 22.242 0.984 1899 9 NaN NaN NaN NaN NaN NaN 15.716 -1.119 1899 10 NaN NaN NaN NaN NaN NaN 13.349 2.735 1899 11 NaN NaN NaN NaN NaN NaN 5.702 3.030 1899 12 NaN NaN NaN NaN NaN NaN -5.171 -0.554 1900 1 NaN NaN NaN NaN NaN NaN -5.073 3.254 1900 2 -9.280 -3.872 0 0 -9.280 -3.872 -9.978 -4.577 1900 3 NaN NaN NaN NaN NaN NaN -3.392 -3.861 1900 4 NaN NaN NaN NaN NaN NaN 9.656 1.199 1900 5 NaN NaN NaN NaN NaN NaN 16.086 1.170 1900 6 NaN NaN NaN NaN NaN NaN 19.413 -0.646 1900 7 NaN NaN NaN NaN NaN NaN 21.389 -0.971 1900 8 25.917 4.667 0 0 25.917 4.667 24.099 2.841 1900 9 19.714 2.887 0 0 19.714 2.887 17.473 0.638 1900 10 NaN NaN NaN NaN NaN NaN 14.953 4.339 1900 11 NaN NaN NaN NaN NaN NaN 0.996 -1.675 1900 12 NaN NaN NaN NaN NaN NaN -3.397 1.220 1901 1 NaN NaN NaN NaN NaN NaN -6.958 1.369 1901 2 NaN NaN NaN NaN NaN NaN -10.649 -5.249 1901 3 NaN NaN NaN NaN NaN NaN -0.834 -1.303 1901 4 NaN NaN NaN NaN NaN NaN 8.753 0.295 1901 5 NaN NaN NaN NaN NaN NaN 14.468 -0.448 1901 6 NaN NaN NaN NaN NaN NaN 21.341 1.282 1901 7 NaN NaN NaN NaN NaN NaN 26.114 3.754 1901 8 NaN NaN NaN NaN NaN NaN 21.555 0.297 1901 9 NaN NaN NaN NaN NaN NaN 16.324 -0.510