% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39147 % Primary Name: SAUKVILLE WWTP % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.37500 +/- 0.00005 % Longitude: -87.94030 +/- 0.00005 % Elevation (m): 230.12 +/- 0.15 % # of Months: 50 % % Alternate Names: Missing Station ID - 477581 % % IDs: coop - 477581 % ghcnd - USC00477581 % ncdc - 30015200 % nws - SAVW3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 13380df8bfa53f11a2a4c703dd69f675 % Raw Data Hash: 4efd5d4d7519466ed08d7e9c81754709 % Adj Data Hash: 5a8ac89cfaea8c2edecb79fd00a8907e % % 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 2008 10 NaN NaN NaN NaN NaN NaN 13.265 0.123 2008 11 NaN NaN NaN NaN NaN NaN 7.360 0.389 2008 12 NaN NaN NaN NaN NaN NaN -0.913 -2.321 2009 1 NaN NaN NaN NaN NaN NaN -5.012 -3.575 2009 2 NaN NaN NaN NaN NaN NaN 1.056 1.232 2009 3 NaN NaN NaN NaN NaN NaN 4.411 1.393 2009 4 NaN NaN NaN NaN NaN NaN 7.813 0.390 2009 5 NaN NaN NaN NaN NaN NaN 12.460 0.546 2009 6 NaN NaN NaN NaN NaN NaN 17.253 -0.345 2009 7 NaN NaN NaN NaN NaN NaN 19.402 -2.323 2009 8 NaN NaN NaN NaN NaN NaN 21.291 -0.977 2009 9 NaN NaN NaN NaN NaN NaN 19.368 0.561 2009 10 7.056 -2.248 0 0 7.056 -2.248 11.586 -1.556 2009 11 5.222 2.090 0 0 5.222 2.090 10.477 3.506 2009 12 -4.833 -2.403 0 0 -4.833 -2.403 1.310 -0.098 2010 1 -7.000 -1.725 0 0 -7.000 -1.725 -1.311 0.125 2010 2 -4.833 -0.818 0 0 -4.833 -0.818 0.357 0.533 2010 3 1.889 2.710 0 0 1.889 2.710 6.081 3.064 2010 4 8.500 4.917 0 0 8.500 4.917 11.136 3.713 2010 5 13.444 5.370 0 0 13.444 5.370 13.636 1.723 2010 6 18.556 4.796 0 0 18.556 4.796 18.992 1.394 2010 7 21.833 3.948 0 0 21.833 3.948 23.726 2.002 2010 8 21.667 3.237 0 0 21.667 3.237 24.518 2.250 2010 9 14.944 -0.023 0 0 14.944 -0.023 19.086 0.280 2010 10 10.111 0.808 0 0 10.111 0.808 14.947 1.805 2010 11 2.722 -0.410 0 0 2.722 -0.410 8.750 1.778 2010 12 -6.167 -3.736 0 0 -6.167 -3.736 -0.322 -1.731 2011 1 -8.167 -2.891 0 0 -8.167 -2.891 -2.325 -0.888 2011 2 -5.944 -1.929 0 0 -5.944 -1.929 -0.132 0.044 2011 3 -1.556 -0.734 0 0 -1.556 -0.734 3.070 0.053 2011 4 4.889 1.305 0 0 4.889 1.305 7.600 0.178 2011 5 10.444 2.370 0 0 10.444 2.370 11.991 0.077 2011 6 16.722 2.963 0 0 16.722 2.963 17.987 0.389 2011 7 22.333 4.448 0 0 22.333 4.448 24.045 2.321 2011 8 19.944 1.515 0 0 19.944 1.515 23.029 0.761 2011 9 14.667 -0.301 0 0 14.667 -0.301 18.206 -0.600 2011 10 9.611 0.308 0 0 9.611 0.308 14.223 1.081 2011 11 3.778 0.646 0 0 3.778 0.646 9.779 2.808 2011 12 -0.779 1.651 0 0 -0.779 1.651 5.104 3.695 2012 1 -4.261 1.014 0 0 -4.261 1.014 1.965 3.401 2012 2 -2.284 1.731 0 0 -2.284 1.731 3.305 3.482 2012 3 6.952 7.773 0 0 6.952 7.773 11.816 8.799 2012 4 5.748 2.165 0 0 5.748 2.165 8.639 1.216 2012 5 14.098 6.024 0 0 14.098 6.024 14.828 2.914 2012 6 18.650 4.891 0 0 18.650 4.891 19.746 2.147 2012 7 23.806 5.921 0 0 23.806 5.921 25.577 3.852 2012 8 19.787 1.358 0 0 19.787 1.358 22.619 0.350 2012 9 14.997 0.029 0 0 14.997 0.029 18.757 -0.049 2012 10 7.813 -1.490 0 0 7.813 -1.490 12.804 -0.339 2012 11 2.120 -1.012 0 0 2.120 -1.012 7.641 0.670 2012 12 -0.577 1.853 0 0 -0.577 1.853 5.431 4.023 2013 1 -6.285 -1.010 0 0 -6.285 -1.010 0.493 1.929 2013 2 -7.102 -3.086 0 0 -7.102 -3.086 -0.749 -0.573 2013 3 -3.390 -2.569 0 0 -3.390 -2.569 1.105 -1.913 2013 4 4.613 1.030 0 0 4.613 1.030 6.933 -0.489 2013 5 12.679 4.604 0 0 12.679 4.604 13.236 1.323 2013 6 16.848 3.089 0 0 16.848 3.089 17.566 -0.032 2013 7 19.621 1.735 0 0 19.621 1.735 21.612 -0.112 2013 8 19.345 0.916 0 0 19.345 0.916 22.200 -0.069 2013 9 15.573 0.606 0 0 15.573 0.606 19.771 0.965 2013 10 8.740 -0.563 0 0 8.740 -0.563 13.813 0.671 2013 11 7.450 4.318 1 0 NaN NaN NaN NaN