% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39191 % Primary Name: PORT SANILAC % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.41700 +/- 0.00050 % Longitude: -82.53300 +/- 0.00050 % Elevation (m): 191.00 +/- 0.05 % # of Months: 45 % % IDs: gsod - 998180-99999 % icao - PSCM4 % usaf - 998180 % % Sources: Global Summary of the Day % % Site Hash: 8d2fcaa3d7d4c6bd03b898dcb851d78a % Raw Data Hash: d3064357e559010c0044010b7ae02d80 % Adj Data Hash: b52c588ac55d3ca70540ac40a388e76e % % 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 2007 1 NaN NaN NaN NaN NaN NaN -2.591 2.886 2007 2 NaN NaN NaN NaN NaN NaN -8.045 -2.741 2007 3 NaN NaN NaN NaN NaN NaN 1.106 2.166 2007 4 NaN NaN NaN NaN NaN NaN 5.226 0.082 2007 5 NaN NaN NaN NaN NaN NaN 11.808 1.241 2007 6 NaN NaN NaN NaN NaN NaN 17.839 1.954 2007 7 NaN NaN NaN NaN NaN NaN 18.691 -0.373 2007 8 NaN NaN NaN NaN NaN NaN 20.240 1.307 2007 9 NaN NaN NaN NaN NaN NaN 17.328 1.942 2007 10 NaN NaN NaN NaN NaN NaN 14.553 4.555 2007 11 NaN NaN NaN NaN NaN NaN 4.388 0.213 2007 12 NaN NaN NaN NaN NaN NaN -2.080 0.070 2008 1 -5.851 -0.853 1 0 NaN NaN -2.850 2.627 2008 2 -5.400 -0.576 0 0 -5.400 -0.575 -5.999 -0.695 2008 3 -1.116 -0.536 0 0 -1.116 -0.535 -1.773 -0.713 2008 4 6.128 0.504 1 0 NaN NaN 8.131 2.987 2008 5 10.796 -0.250 1 0 NaN NaN 9.164 -1.403 2008 6 16.874 0.509 1 0 NaN NaN 17.108 1.223 2008 7 20.339 0.796 0 0 20.340 0.796 19.493 0.429 2008 8 19.971 0.559 0 0 19.972 0.560 18.878 -0.055 2008 9 17.556 1.689 0 0 17.556 1.690 16.376 0.989 2008 10 10.246 -0.233 0 0 10.246 -0.232 9.814 -0.185 2008 11 3.687 -0.967 0 0 3.688 -0.967 4.827 0.652 2008 12 -3.604 -1.934 0 0 -3.603 -1.933 -3.667 -1.518 2009 1 -8.077 -3.080 0 0 -8.076 -3.079 -8.721 -3.244 2009 2 -2.974 1.850 0 0 -2.973 1.851 -3.925 1.379 2009 3 -0.267 0.314 0 0 -0.266 0.314 0.189 1.249 2009 4 5.751 0.128 0 0 5.752 0.128 6.162 1.018 2009 5 11.627 0.581 0 0 11.628 0.582 10.576 0.009 2009 6 14.531 -1.833 0 0 14.532 -1.832 14.413 -1.472 2009 7 18.434 -1.109 0 0 18.435 -1.109 17.029 -2.035 2009 8 19.930 0.518 0 0 19.931 0.519 18.801 -0.131 2009 9 17.337 1.471 0 0 17.338 1.471 16.250 0.864 2009 10 9.190 -1.288 0 0 9.191 -1.287 9.078 -0.920 2009 11 7.367 2.713 1 0 NaN NaN 7.536 3.361 2009 12 NaN NaN NaN NaN NaN NaN -1.826 0.323 2010 1 NaN NaN NaN NaN NaN NaN -4.277 1.200 2010 2 NaN NaN NaN NaN NaN NaN -3.847 1.457 2010 3 NaN NaN NaN NaN NaN NaN 2.978 4.039 2010 4 NaN NaN NaN NaN NaN NaN 8.949 3.805 2010 5 NaN NaN NaN NaN NaN NaN 12.996 2.429 2010 6 NaN NaN NaN NaN NaN NaN 16.656 0.771 2010 7 NaN NaN NaN NaN NaN NaN 21.121 2.057 2010 8 NaN NaN NaN NaN NaN NaN 21.232 2.299 2010 9 NaN NaN NaN NaN NaN NaN 15.590 0.203 2010 10 NaN NaN NaN NaN NaN NaN 11.296 1.297 2010 11 NaN NaN NaN NaN NaN NaN 5.640 1.465 2010 12 NaN NaN NaN NaN NaN NaN -2.900 -0.751 2011 1 NaN NaN NaN NaN NaN NaN -6.883 -1.406 2011 2 NaN NaN NaN NaN NaN NaN -5.178 0.126 2011 3 NaN NaN NaN NaN NaN NaN -1.762 -0.702 2011 4 NaN NaN NaN NaN NaN NaN 5.287 0.143 2011 5 NaN NaN NaN NaN NaN NaN 10.617 0.050 2011 6 NaN NaN NaN NaN NaN NaN 15.959 0.074 2011 7 NaN NaN NaN NaN NaN NaN 21.610 2.546 2011 8 NaN NaN NaN NaN NaN NaN 20.139 1.207 2011 9 NaN NaN NaN NaN NaN NaN 16.170 0.783 2011 10 NaN NaN NaN NaN NaN NaN 11.375 1.377 2011 11 NaN NaN NaN NaN NaN NaN 7.376 3.201 2011 12 4.551 6.221 1 0 NaN NaN 0.909 3.058 2012 1 NaN NaN NaN NaN NaN NaN -1.983 3.494 2012 2 NaN NaN NaN NaN NaN NaN -1.151 4.153 2012 3 8.350 8.930 1 0 NaN NaN 6.599 7.659 2012 4 6.859 1.235 1 0 NaN NaN 6.146 1.002 2012 5 19.164 8.118 1 0 NaN NaN 13.110 2.543 2012 6 20.671 4.306 1 0 NaN NaN 17.838 1.953 2012 7 22.878 3.335 0 2 22.877 3.334 21.710 2.647 2012 8 21.079 1.667 0 0 21.078 1.666 19.935 1.002 2012 9 16.802 0.935 0 0 16.801 0.935 15.682 0.295 2012 10 10.833 0.355 0 0 10.832 0.354 10.645 0.646 2012 11 3.852 -0.803 0 0 3.851 -0.804 4.677 0.502 2012 12 1.446 3.116 0 0 1.445 3.115 1.272 3.421 2013 1 -3.082 1.915 0 0 -3.083 1.914 -3.074 2.403 2013 2 -4.024 0.801 0 0 -4.025 0.800 -4.686 0.618 2013 3 -0.912 -0.331 0 0 -0.913 -0.332 -0.831 0.229 2013 4 4.294 -1.329 0 0 4.294 -1.330 4.582 -0.562 2013 5 11.131 0.084 0 0 11.130 0.083 11.729 1.162 2013 6 16.341 -0.024 0 0 16.340 -0.025 15.953 0.068 2013 7 20.998 1.455 0 0 20.997 1.454 19.785 0.722 2013 8 20.197 0.785 0 0 20.196 0.784 19.035 0.103 2013 9 16.887 1.021 0 0 16.886 1.020 15.687 0.300 2013 10 11.679 1.201 0 0 11.678 1.200 11.355 1.357 2013 11 8.026 3.372 1 0 NaN NaN NaN NaN