% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38984 % Primary Name: FOREST CITY MUNI % Record Type: TAVG % Country: United States % State: IA % Latitude: 43.23300 +/- 0.00050 % Longitude: -93.78300 +/- 0.00050 % Elevation (m): 375.00 +/- 0.05 % # of Months: 49 % % IDs: gsod - 720643-99999 % icao - KFXY % usaf - 720643 % % Sources: Global Summary of the Day % % Site Hash: 82ba02b69b0bde39b4aa03ce896aa7a0 % Raw Data Hash: bc0ad87ded6028eaa920ae56dbc7ff06 % Adj Data Hash: c084aaac996bc660a5fdf32b663015f5 % % 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 7 NaN NaN NaN NaN NaN NaN 23.316 0.239 2008 8 NaN NaN NaN NaN NaN NaN 21.280 -0.503 2008 9 NaN NaN NaN NaN NaN NaN 17.364 0.449 2008 10 NaN NaN NaN NaN NaN NaN 10.993 0.259 2008 11 NaN NaN NaN NaN NaN NaN 2.900 0.803 2008 12 NaN NaN NaN NaN NaN NaN -8.423 -3.000 2009 1 NaN NaN NaN NaN NaN NaN -11.834 -2.386 2009 2 NaN NaN NaN NaN NaN NaN -3.329 2.498 2009 3 NaN NaN NaN NaN NaN NaN 1.806 1.688 2009 4 NaN NaN NaN NaN NaN NaN 8.392 -0.384 2009 5 NaN NaN NaN NaN NaN NaN 15.609 0.024 2009 6 NaN NaN NaN NaN NaN NaN 20.621 -0.167 2009 7 19.067 -2.968 0 0 19.067 -2.968 20.433 -2.644 2009 8 19.171 -1.571 0 0 19.171 -1.571 20.522 -1.261 2009 9 16.246 0.373 0 0 16.246 0.373 17.511 0.596 2009 10 6.027 -3.667 0 0 6.027 -3.667 7.667 -3.068 2009 11 4.991 3.935 0 0 4.991 3.935 6.579 4.482 2009 12 -7.473 -1.009 0 0 -7.473 -1.009 -7.153 -1.731 2010 1 -11.387 -0.898 0 0 -11.387 -0.898 -11.752 -2.304 2010 2 -9.161 -2.293 0 0 -9.161 -2.293 -8.892 -3.066 2010 3 1.980 2.903 0 0 1.980 2.903 2.094 1.976 2010 4 11.961 4.226 0 0 11.961 4.226 13.004 4.228 2010 5 15.183 0.639 0 0 15.183 0.639 15.887 0.301 2010 6 19.962 0.214 0 0 19.962 0.214 21.675 0.886 2010 7 22.559 0.524 0 0 22.559 0.524 23.983 0.906 2010 8 22.557 1.816 0 0 22.557 1.816 24.054 2.272 2010 9 15.787 -0.087 0 0 15.787 -0.087 16.989 0.074 2010 10 10.577 0.884 0 0 10.577 0.884 12.954 2.219 2010 11 1.872 0.816 0 0 1.872 0.816 3.332 1.235 2010 12 -7.688 -1.224 0 0 -7.688 -1.224 -7.237 -1.814 2011 1 -10.305 0.185 0 0 -10.305 0.185 -10.992 -1.544 2011 2 -6.413 0.455 0 0 -6.413 0.455 -5.609 0.218 2011 3 -0.922 0.000 1 0 NaN NaN 0.231 0.112 2011 4 7.067 -0.668 0 0 7.067 -0.668 8.492 -0.284 2011 5 14.190 -0.354 0 0 14.190 -0.354 15.264 -0.322 2011 6 20.857 1.110 0 0 20.857 1.110 21.303 0.514 2011 7 25.009 2.973 0 0 25.009 2.973 25.708 2.631 2011 8 21.864 1.122 0 0 21.864 1.122 22.327 0.544 2011 9 14.657 -1.216 0 0 14.657 -1.216 15.577 -1.338 2011 10 10.190 0.496 0 0 10.190 0.496 12.627 1.892 2011 11 2.619 1.563 0 0 2.619 1.563 4.253 2.156 2011 12 -2.939 3.525 0 0 -2.939 3.525 -1.771 3.651 2012 1 -4.821 5.668 0 0 -4.821 5.668 -4.136 5.312 2012 2 -2.318 4.550 0 0 -2.318 4.550 -1.450 4.377 2012 3 8.679 9.602 0 0 8.679 9.602 9.735 9.616 2012 4 9.322 1.587 0 0 9.322 1.587 11.462 2.685 2012 5 16.986 2.442 0 0 16.986 2.442 18.670 3.084 2012 6 21.246 1.499 0 0 21.246 1.499 22.509 1.720 2012 7 24.183 2.147 0 0 24.183 2.147 26.492 3.415 2012 8 20.394 -0.348 0 0 20.394 -0.348 21.904 0.121 2012 9 15.359 -0.514 0 0 15.359 -0.514 16.747 -0.168 2012 10 7.652 -2.041 0 0 7.652 -2.041 10.022 -0.713 2012 11 2.563 1.507 0 0 2.563 1.507 4.375 2.279 2012 12 -3.823 2.641 0 0 -3.823 2.641 -2.903 2.520 2013 1 -7.419 3.070 0 0 -7.419 3.070 -7.271 2.177 2013 2 -5.651 1.217 0 0 -5.651 1.217 -4.811 1.015 2013 3 -2.982 -2.059 0 0 -2.982 -2.059 -2.940 -3.059 2013 4 5.739 -1.996 0 0 5.739 -1.996 6.360 -2.416 2013 5 14.677 0.133 0 0 14.677 0.133 14.864 -0.721 2013 6 20.794 1.047 0 0 20.794 1.047 20.953 0.165 2013 7 22.837 0.801 0 0 22.837 0.801 23.013 -0.063 2013 8 NaN NaN NaN NaN NaN NaN 22.472 0.689 2013 9 NaN NaN NaN NaN NaN NaN 19.392 2.477 2013 10 NaN NaN NaN NaN NaN NaN 10.994 0.259