% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39273 % Primary Name: BELGIUM WWTP % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.51360 +/- 0.00005 % Longitude: -87.85470 +/- 0.00005 % Elevation (m): 210.92 +/- 0.15 % # of Months: 46 % % Alternate Names: Missing Station ID - 470652 % % IDs: coop - 470652 % ghcnd - USC00470652 % ncdc - 30015194 % nws - BLGW3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 711bef66389be64191350bb2a157e5b8 % Raw Data Hash: c0a98149ffa867d799eca3cecb8863cc % Adj Data Hash: d4fef75d355b273c9255830e84458d9b % % 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 10.580 0.222 2008 11 NaN NaN NaN NaN NaN NaN 4.499 0.572 2008 12 NaN NaN NaN NaN NaN NaN -5.237 -2.800 2009 1 NaN NaN NaN NaN NaN NaN -9.618 -3.580 2009 2 NaN NaN NaN NaN NaN NaN -3.768 1.440 2009 3 NaN NaN NaN NaN NaN NaN -0.029 0.772 2009 4 NaN NaN NaN NaN NaN NaN 6.423 0.524 2009 5 NaN NaN NaN NaN NaN NaN 11.915 0.213 2009 6 NaN NaN NaN NaN NaN NaN 16.517 -0.230 2009 7 NaN NaN NaN NaN NaN NaN 17.548 -2.235 2009 8 NaN NaN NaN NaN NaN NaN 18.684 -0.805 2009 9 NaN NaN NaN NaN NaN NaN 16.712 1.071 2009 10 7.111 -2.235 0 0 7.111 -2.235 8.702 -1.656 2009 11 5.444 2.530 0 0 5.444 2.530 7.689 3.763 2009 12 -5.000 -1.552 0 0 -5.000 -1.552 -2.968 -0.532 2010 1 -7.056 -0.006 0 0 -7.056 -0.006 -4.769 1.269 2010 2 -5.389 0.831 0 0 -5.389 0.831 -3.521 1.687 2010 3 2.167 3.980 0 0 2.167 3.980 3.286 4.087 2010 4 7.944 3.057 0 0 7.944 3.057 9.685 3.786 2010 5 13.389 2.700 0 0 13.389 2.700 13.989 2.287 2010 6 18.833 3.098 0 0 18.833 3.098 17.728 0.981 2010 7 22.000 3.230 0 0 22.000 3.230 21.739 1.957 2010 8 21.222 2.745 0 0 21.222 2.745 21.976 2.487 2010 9 14.667 0.038 0 0 14.667 0.038 15.232 -0.408 2010 10 10.611 1.265 0 0 10.611 1.265 11.912 1.554 2010 11 3.556 0.641 0 0 3.556 0.641 5.736 1.810 2010 12 -6.222 -2.774 0 0 -6.222 -2.774 -3.292 -0.856 2011 1 -8.556 -1.506 0 0 -8.556 -1.506 -6.906 -0.869 2011 2 -5.889 0.331 0 0 -5.889 0.331 -4.700 0.508 2011 3 -1.111 0.702 0 0 -1.111 0.702 -1.139 -0.338 2011 4 5.833 0.946 0 0 5.833 0.946 5.797 -0.102 2011 5 10.722 0.033 0 0 10.722 0.033 11.611 -0.090 2011 6 16.444 0.709 0 0 16.444 0.709 16.914 0.167 2011 7 23.000 4.230 0 0 23.000 4.230 22.254 2.472 2011 8 20.333 1.856 0 0 20.333 1.856 20.627 1.138 2011 9 15.111 0.482 0 0 15.111 0.482 15.208 -0.432 2011 10 10.667 1.321 0 0 10.667 1.321 11.747 1.389 2011 11 4.167 1.252 0 0 4.167 1.252 6.409 2.483 2011 12 -0.624 2.825 1 0 NaN NaN 0.931 3.367 2012 1 -3.898 3.151 0 0 -3.898 3.151 -2.524 3.514 2012 2 -2.138 4.082 1 0 NaN NaN -0.754 4.454 2012 3 7.085 8.898 0 0 7.085 8.898 7.825 8.626 2012 4 6.723 1.836 0 0 6.723 1.836 7.122 1.223 2012 5 13.903 3.214 0 0 13.903 3.214 14.558 2.857 2012 6 18.589 2.854 0 0 18.589 2.854 18.901 2.154 2012 7 24.270 5.500 0 0 24.270 5.500 23.249 3.467 2012 8 19.995 1.518 0 0 19.995 1.518 20.227 0.738 2012 9 15.290 0.661 0 0 15.290 0.661 15.493 -0.148 2012 10 NaN NaN NaN NaN NaN NaN 10.119 -0.239 2012 11 1.180 -1.734 0 0 1.180 -1.734 4.955 1.029 2012 12 -0.854 2.594 1 0 NaN NaN 1.033 3.470 2013 1 -7.465 -0.416 0 0 -7.465 -0.416 -4.329 1.708 2013 2 NaN NaN NaN NaN NaN NaN -5.350 -0.142 2013 3 NaN NaN NaN NaN NaN NaN -2.282 -1.481 2013 4 -1.525 -6.412 1 0 NaN NaN 4.691 -1.208 2013 5 13.600 2.911 1 0 NaN NaN 12.563 0.862 2013 6 NaN NaN NaN NaN NaN NaN 16.869 0.122 2013 7 17.331 -1.439 1 0 NaN NaN 20.042 0.260 2013 8 19.566 1.089 0 0 19.566 1.089 19.633 0.144 2013 9 16.072 1.443 0 0 16.072 1.443 16.244 0.603 2013 10 8.767 -0.579 0 0 8.767 -0.579 11.240 0.882 2013 11 7.233 4.319 1 0 NaN NaN NaN NaN