% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39539 % Primary Name: EASTON % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.78330 +/- 0.00005 % Longitude: -89.83330 +/- 0.00005 % Elevation (m): 298.70 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 472370 % % IDs: coop - 472370 % ghcnd - USC00472370 % ncdc - 30002568 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 931a6bdad5669876dc2bd0edb210399e % Raw Data Hash: 0a676b3e418e29c64ad63d7ff4f79042 % Adj Data Hash: 8d4da02ca8c28ea0dddad691f08b7f6c % % 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 19.590 -1.614 1895 8 NaN NaN NaN NaN NaN NaN 19.914 -0.089 1895 9 NaN NaN NaN NaN NaN NaN 17.694 2.463 1895 10 NaN NaN NaN NaN NaN NaN 5.769 -3.521 1895 11 NaN NaN NaN NaN NaN NaN -0.197 -1.285 1895 12 NaN NaN NaN NaN NaN NaN -5.678 0.856 1896 1 NaN NaN NaN NaN NaN NaN -8.856 1.528 1896 2 NaN NaN NaN NaN NaN NaN -7.078 0.593 1896 3 NaN NaN NaN NaN NaN NaN -4.655 -3.025 1896 4 NaN NaN NaN NaN NaN NaN 9.310 2.336 1896 5 NaN NaN NaN NaN NaN NaN 17.381 3.628 1896 6 NaN NaN NaN NaN NaN NaN 19.208 0.440 1896 7 21.201 -0.356 0 0 21.201 -0.356 20.587 -0.616 1896 8 21.004 0.648 0 0 21.004 0.648 20.202 0.199 1896 9 13.074 -2.510 0 0 13.074 -2.510 12.462 -2.769 1896 10 6.129 -3.514 0 0 6.129 -3.514 6.935 -2.355 1896 11 -3.066 -4.507 1 0 NaN NaN -2.258 -3.346 1896 12 -4.516 1.664 0 0 -4.516 1.664 -4.791 1.742 1897 1 -9.704 0.326 0 0 -9.704 0.326 -9.983 0.400 1897 2 -4.837 2.481 1 0 NaN NaN -6.239 1.432 1897 3 -3.306 -2.030 0 0 -3.306 -2.030 -3.759 -2.130 1897 4 7.019 -0.308 0 0 7.019 -0.308 6.851 -0.123 1897 5 NaN NaN NaN NaN NaN NaN 12.338 -1.416 1897 6 17.149 -1.972 0 0 17.149 -1.972 17.070 -1.697 1897 7 22.599 1.041 0 0 22.599 1.041 22.377 1.174 1897 8 17.670 -2.686 0 0 17.670 -2.686 17.874 -2.129 1897 9 18.648 3.064 0 0 18.648 3.064 17.876 2.645 1897 10 NaN NaN NaN NaN NaN NaN 11.584 2.295 1897 11 -1.094 -2.536 0 0 -1.094 -2.536 -0.831 -1.919 1897 12 -9.436 -3.257 0 0 -9.436 -3.257 -9.341 -2.808 1898 1 -6.706 3.324 0 0 -6.706 3.324 -7.544 2.839 1898 2 -6.766 0.552 1 0 NaN NaN -7.164 0.508 1898 3 1.093 2.369 0 0 1.093 2.369 0.111 1.740 1898 4 6.133 -1.194 0 0 6.133 -1.194 6.501 -0.472 1898 5 13.906 -0.201 0 0 13.906 -0.201 13.450 -0.303 1898 6 20.223 1.103 0 0 20.223 1.103 19.156 0.389 1898 7 21.813 0.256 0 0 21.813 0.256 21.315 0.111 1898 8 19.432 -0.924 0 0 19.432 -0.924 19.146 -0.857 1898 9 17.228 1.644 0 0 17.228 1.644 16.448 1.217 1898 10 7.466 -2.177 0 0 7.466 -2.177 7.961 -1.328 1898 11 0.490 -0.952 0 0 0.490 -0.952 0.160 -0.928 1898 12 -10.126 -3.946 0 0 -10.126 -3.946 -9.886 -3.353 1899 1 -10.730 -0.700 0 0 -10.730 -0.700 -11.605 -1.221 1899 2 -14.750 -7.432 1 0 NaN NaN -13.598 -5.926 1899 3 -7.276 -6.000 0 0 -7.276 -6.000 -7.752 -6.122 1899 4 8.592 1.265 0 0 8.592 1.265 8.523 1.550 1899 5 14.000 -0.107 0 0 14.000 -0.107 13.471 -0.283 1899 6 19.813 0.693 0 0 19.813 0.693 18.994 0.227 1899 7 21.532 -0.025 0 0 21.532 -0.025 20.854 -0.349 1899 8 21.619 1.263 0 0 21.619 1.263 21.043 1.041 1899 9 13.895 -1.689 0 0 13.895 -1.689 13.221 -2.010 1899 10 12.039 2.396 0 0 12.039 2.396 11.510 2.220 1899 11 4.622 3.180 0 0 4.622 3.180 4.518 3.429 1899 12 NaN NaN NaN NaN NaN NaN -7.186 -0.653 1900 1 NaN NaN NaN NaN NaN NaN -6.880 3.504 1900 2 NaN NaN NaN NaN NaN NaN -12.135 -4.464 1900 3 NaN NaN NaN NaN NaN NaN -5.141 -3.511 1900 4 NaN NaN NaN NaN NaN NaN 8.791 1.818 1900 5 NaN NaN NaN NaN NaN NaN 15.014 1.260 1900 6 NaN NaN NaN NaN NaN NaN 18.494 -0.273 1900 7 NaN NaN NaN NaN NaN NaN 20.093 -1.110 1900 8 NaN NaN NaN NaN NaN NaN 23.334 3.332 1900 9 NaN NaN NaN NaN NaN NaN 15.824 0.593 1900 10 NaN NaN NaN NaN NaN NaN 13.846 4.556 1900 11 NaN NaN NaN NaN NaN NaN -1.090 -2.178