% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39391 % Primary Name: LA VALLE 4 NNE % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.63920 +/- 0.00005 % Longitude: -90.10780 +/- 0.00005 % Elevation (m): 347.47 +/- 0.15 % # of Months: 70 % % Alternate Names: Missing Station ID - 474424 % % IDs: coop - 474424 % ghcnd - USC00474424 % ncdc - 30003091 % nws - RSLW3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 45e7dfe7fd083ca1d5b4438058b0b417 % Raw Data Hash: a682217e2d315f38ff655fa9f100b29f % Adj Data Hash: de016f4a8a024bc5f4956c65b2633c4e % % 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 2006 6 NaN NaN NaN NaN NaN NaN 19.062 0.295 2006 7 NaN NaN NaN NaN NaN NaN 23.383 2.180 2006 8 NaN NaN NaN NaN NaN NaN 20.659 0.657 2006 9 NaN NaN NaN NaN NaN NaN 14.033 -1.198 2006 10 NaN NaN NaN NaN NaN NaN 7.485 -1.805 2006 11 NaN NaN NaN NaN NaN NaN 3.704 2.616 2006 12 NaN NaN NaN NaN NaN NaN -2.223 4.310 2007 1 NaN NaN NaN NaN NaN NaN -6.216 4.168 2007 2 NaN NaN NaN NaN NaN NaN -10.674 -3.003 2007 3 NaN NaN NaN NaN NaN NaN 1.764 3.393 2007 4 NaN NaN NaN NaN NaN NaN 7.254 0.281 2007 5 NaN NaN NaN NaN NaN NaN 16.096 2.343 2007 6 19.831 1.290 1 0 NaN NaN 20.141 1.374 2007 7 21.778 0.800 0 0 21.736 0.759 21.493 0.289 2007 8 20.722 0.946 0 0 20.681 0.905 21.018 1.016 2007 9 17.611 2.606 0 0 17.570 2.565 16.671 1.440 2007 10 12.827 3.764 1 0 NaN NaN 13.126 3.837 2007 11 0.889 0.027 0 0 0.848 -0.014 1.565 0.477 2007 12 -8.056 -1.296 0 0 -8.097 -1.338 -7.637 -1.104 2008 1 -8.778 1.832 0 0 -8.819 1.791 -9.801 0.583 2008 2 -10.778 -2.880 0 0 -10.819 -2.922 -10.128 -2.457 2008 3 NaN NaN NaN NaN NaN NaN -3.399 -1.770 2008 4 6.500 -0.247 0 0 6.459 -0.289 7.667 0.694 2008 5 12.189 -1.338 1 0 NaN NaN 12.236 -1.518 2008 6 18.833 0.292 0 0 18.792 0.251 18.931 0.164 2008 7 20.722 -0.255 0 0 20.681 -0.297 21.336 0.132 2008 8 19.389 -0.387 0 0 19.348 -0.429 19.974 -0.028 2008 9 16.500 1.495 1 0 NaN NaN 16.427 1.196 2008 10 8.944 -0.119 0 0 8.903 -0.160 9.651 0.362 2008 11 1.111 0.249 0 0 1.070 0.208 1.917 0.829 2008 12 -9.833 -3.074 0 0 -9.875 -3.115 -10.156 -3.623 2009 1 NaN NaN NaN NaN NaN NaN -14.324 -3.941 2009 2 NaN NaN NaN NaN NaN NaN -5.887 1.784 2009 3 NaN NaN NaN NaN NaN NaN -0.891 0.739 2009 4 NaN NaN NaN NaN NaN NaN 7.239 0.266 2009 5 NaN NaN NaN NaN NaN NaN 14.098 0.344 2009 6 18.056 -0.485 0 1 18.067 -0.474 18.550 -0.217 2009 7 NaN NaN NaN NaN NaN NaN 18.465 -2.739 2009 8 18.889 -0.887 0 0 18.901 -0.875 19.181 -0.821 2009 9 16.389 1.384 0 0 16.401 1.396 16.489 1.258 2009 10 5.778 -3.286 0 0 5.790 -3.274 7.129 -2.161 2009 11 4.944 4.083 0 0 4.956 4.094 5.563 4.475 2009 12 -7.000 -0.241 0 0 -6.988 -0.229 -6.769 -0.235 2010 1 -9.611 0.999 0 0 -9.599 1.010 -9.383 1.000 2010 2 -6.167 1.731 0 0 -6.155 1.743 -5.744 1.927 2010 3 3.500 5.356 0 0 3.512 5.368 3.043 4.673 2010 4 10.444 3.697 0 0 10.456 3.709 11.104 4.130 2010 5 14.444 0.917 0 0 14.456 0.929 15.357 1.604 2010 6 19.167 0.626 0 0 19.178 0.638 19.312 0.545 2010 7 22.556 1.578 0 0 22.567 1.590 22.644 1.440 2010 8 22.389 2.613 0 0 22.401 2.625 22.387 2.385 2010 9 14.444 -0.560 0 0 14.456 -0.548 14.522 -0.709 2010 10 10.889 1.826 0 0 10.901 1.837 11.022 1.732 2010 11 1.944 1.083 0 0 1.956 1.094 2.787 1.699 2010 12 -8.778 -2.018 0 0 -8.766 -2.007 -7.960 -1.427 2011 1 -10.500 0.110 0 0 -10.488 0.121 -10.931 -0.547 2011 2 -7.389 0.509 0 0 -7.377 0.520 -7.052 0.620 2011 3 -1.389 0.467 0 0 -1.377 0.479 -2.040 -0.410 2011 4 5.500 -1.247 0 0 5.512 -1.235 6.363 -0.610 2011 5 13.000 -0.527 0 0 13.012 -0.516 13.213 -0.540 2011 6 18.778 0.237 0 0 18.790 0.249 18.775 0.008 2011 7 23.722 2.745 0 0 23.734 2.757 23.659 2.456 2011 8 20.778 1.002 0 0 20.790 1.013 20.975 0.972 2011 9 14.278 -0.727 0 0 14.290 -0.715 14.242 -0.989 2011 10 10.833 1.770 0 0 10.845 1.782 11.078 1.788 2011 11 3.111 2.249 0 0 3.123 2.261 3.647 2.559 2011 12 -2.889 3.871 0 0 -2.877 3.883 -2.751 3.782 2012 1 -5.756 4.853 0 0 -5.745 4.865 -6.211 4.172 2012 2 -2.672 5.225 0 0 -2.661 5.237 -2.535 5.136 2012 3 8.587 10.443 0 0 8.599 10.455 8.075 9.705 2012 4 7.320 0.573 0 0 7.332 0.585 8.324 1.351 2012 5 16.225 2.698 1 0 NaN NaN 16.476 2.722 2012 6 20.483 1.942 0 0 20.495 1.954 20.674 1.906 2012 7 25.265 4.287 0 0 25.276 4.299 24.954 3.751 2012 8 20.437 0.660 0 0 20.448 0.672 20.636 0.633 2012 9 15.180 0.175 0 0 15.192 0.187 14.755 -0.476 2012 10 7.765 -1.298 0 0 7.777 -1.287 8.756 -0.534 2012 11 1.980 1.118 0 0 1.992 1.130 2.505 1.417 2012 12 -3.192 3.567 0 0 -3.180 3.579 -3.002 3.531 2013 1 -7.756 2.853 0 0 -7.745 2.865 -8.419 1.965 2013 2 -8.084 -0.186 0 0 -8.072 -0.175 -7.851 -0.180 2013 3 -4.229 -2.373 0 0 -4.217 -2.361 -4.206 -2.576 2013 4 NaN NaN NaN NaN NaN NaN 4.696 -2.277 2013 5 13.835 0.308 0 0 13.847 0.320 14.248 0.495 2013 6 18.653 0.112 0 0 18.665 0.124 18.675 -0.092 2013 7 21.182 0.205 0 0 21.194 0.217 21.395 0.191 2013 8 20.848 1.072 0 0 20.860 1.084 20.653 0.651 2013 9 17.154 2.149 1 0 NaN NaN 16.473 1.242 2013 10 8.658 -0.405 0 0 8.670 -0.393 9.586 0.297 2013 11 5.567 4.705 1 0 NaN NaN NaN NaN