% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 173148 % Primary Name: WHITE CLOUD 4 SE % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.51667 +/- 0.00833 % Longitude: -85.70000 +/- 0.00833 % Elevation (m): 268.20 +/- 0.05 % # of Months: 31 % % IDs: coop - 208890 % % Sources: US Cooperative Summary of the Day % US Cooperative Summary of the Month % % Site Hash: 6e53e36e0557007d51c9c92656201517 % Raw Data Hash: ef11017db80bed28f1cfb3b2bb630395 % Adj Data Hash: ef11017db80bed28f1cfb3b2bb630395 % % 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 5 NaN NaN NaN NaN NaN NaN 11.082 -1.585 2008 6 NaN NaN NaN NaN NaN NaN 18.795 0.909 2008 7 NaN NaN NaN NaN NaN NaN 20.412 0.288 2008 8 NaN NaN NaN NaN NaN NaN 19.087 0.056 2008 9 NaN NaN NaN NaN NaN NaN 15.733 1.003 2008 10 NaN NaN NaN NaN NaN NaN 8.501 -0.325 2008 11 NaN NaN NaN NaN NaN NaN 2.735 0.697 2008 12 NaN NaN NaN NaN NaN NaN -6.451 -1.827 2009 1 NaN NaN NaN NaN NaN NaN -11.142 -3.436 2009 2 NaN NaN NaN NaN NaN NaN -5.634 1.369 2009 3 NaN NaN NaN NaN NaN NaN -0.639 1.130 2009 4 NaN NaN NaN NaN NaN NaN 6.676 0.681 2009 5 11.167 -0.554 0 0 11.167 -0.554 12.547 -0.120 2009 6 16.222 -0.718 0 0 16.222 -0.718 17.237 -0.649 2009 7 16.111 -3.067 0 0 16.111 -3.067 17.532 -2.592 2009 8 17.222 -0.863 0 0 17.222 -0.863 18.386 -0.645 2009 9 15.056 1.272 0 0 15.056 1.272 15.668 0.938 2009 10 6.278 -1.602 0 0 6.278 -1.602 7.516 -1.309 2009 11 4.000 2.907 0 0 4.000 2.907 5.320 3.281 2009 12 -5.389 0.181 0 0 -5.389 0.181 -5.032 -0.408 2010 1 -6.333 2.319 0 0 -6.333 2.319 -6.212 1.494 2010 2 -5.722 2.226 0 0 -5.722 2.226 -5.413 1.590 2010 3 2.389 5.104 0 0 2.389 5.104 2.930 4.699 2010 4 8.444 3.396 0 0 8.444 3.396 9.988 3.994 2010 5 13.500 1.779 0 0 13.500 1.779 15.001 2.334 2010 6 17.500 0.560 0 0 17.500 0.560 18.615 0.729 2010 7 20.667 1.489 0 0 20.667 1.489 22.086 1.961 2010 8 20.500 2.415 0 0 20.500 2.415 21.564 2.533 2010 9 13.667 -0.117 0 0 13.667 -0.117 14.429 -0.301 2010 10 9.056 1.176 0 0 9.056 1.176 10.083 1.258 2010 11 2.444 1.352 0 0 2.444 1.352 3.792 1.753 2010 12 -5.389 0.181 0 0 -5.389 0.181 -5.310 -0.686 2011 1 -8.444 0.208 0 0 -8.444 0.208 -8.787 -1.080 2011 2 -7.111 0.838 0 0 -7.111 0.838 -6.335 0.668 2011 3 -2.611 0.104 0 0 -2.611 0.104 -2.608 -0.839 2011 4 4.944 -0.104 0 0 4.944 -0.104 6.026 0.031 2011 5 12.611 0.890 0 0 12.611 0.890 13.396 0.729 2011 6 17.167 0.227 0 0 17.167 0.227 18.216 0.330 2011 7 21.167 1.989 0 0 21.167 1.989 22.728 2.604 2011 8 18.722 0.637 0 0 18.722 0.637 19.932 0.901 2011 9 13.833 0.049 0 0 13.833 0.049 14.813 0.083 2011 10 8.667 0.787 0 0 8.667 0.787 9.989 1.163 2011 11 3.333 2.241 0 0 3.333 2.241 4.894 2.855 2011 12 NaN NaN NaN NaN NaN NaN -1.282 3.342 2012 1 NaN NaN NaN NaN NaN NaN -4.354 3.353 2012 2 NaN NaN NaN NaN NaN NaN -2.820 4.183 2012 3 NaN NaN NaN NaN NaN NaN 6.816 8.585 2012 4 NaN NaN NaN NaN NaN NaN 7.100 1.105 2012 5 NaN NaN NaN NaN NaN NaN 15.268 2.601 2012 6 NaN NaN NaN NaN NaN NaN 19.317 1.431 2012 7 NaN NaN NaN NaN NaN NaN 23.052 2.928 2012 8 NaN NaN NaN NaN NaN NaN 19.454 0.422 2012 9 NaN NaN NaN NaN NaN NaN 14.463 -0.267 2012 10 NaN NaN NaN NaN NaN NaN 9.014 0.188 2012 11 NaN NaN NaN NaN NaN NaN 2.835 0.797