% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34255 % Primary Name: MULTI PURPOSE RANGE % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.29400 +/- 0.00050 % Longitude: -96.92600 +/- 0.00050 % Elevation (m): 385.30 +/- 0.05 % # of Months: 65 % % IDs: gsod - 722819-53989 % icao - KAMM % usaf - 722819 % wban - 53989 % % Sources: Global Summary of the Day % % Site Hash: 8673636c2ded7a6c6729f4192aebb1fb % Raw Data Hash: 8d8c667a931fc39702fb523f1725f253 % Adj Data Hash: 6fa131c808bd47786ad5d1f995e8f02e % % 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 2005 6 NaN NaN NaN NaN NaN NaN 24.817 1.357 2005 7 NaN NaN NaN NaN NaN NaN 27.125 0.576 2005 8 NaN NaN NaN NaN NaN NaN 25.908 0.345 2005 9 NaN NaN NaN NaN NaN NaN 22.556 2.355 2005 10 NaN NaN NaN NaN NaN NaN 14.936 1.233 2005 11 NaN NaN NaN NaN NaN NaN 7.573 2.330 2005 12 NaN NaN NaN NaN NaN NaN -1.635 -0.952 2006 1 NaN NaN NaN NaN NaN NaN 4.027 7.742 2006 2 NaN NaN NaN NaN NaN NaN 0.708 0.866 2006 3 NaN NaN NaN NaN NaN NaN 6.085 1.244 2006 4 NaN NaN NaN NaN NaN NaN 15.389 3.422 2006 5 NaN NaN NaN NaN NaN NaN 18.849 1.035 2006 6 27.839 2.475 1 0 NaN NaN 25.183 1.723 2006 7 31.625 3.172 0 0 31.800 3.346 28.240 1.691 2006 8 29.052 1.584 0 0 29.226 1.758 26.575 1.013 2006 9 20.230 -1.876 0 0 20.404 -1.702 18.040 -2.161 2006 10 13.557 -2.051 0 0 13.732 -1.877 13.098 -0.605 2006 11 8.109 0.961 0 0 8.284 1.135 6.324 1.081 2006 12 4.242 3.020 0 0 4.416 3.194 2.488 3.171 2007 1 -1.170 0.640 0 0 -0.996 0.814 -3.331 0.384 2007 2 -0.357 -2.104 0 0 -0.183 -1.930 -1.609 -1.451 2007 3 12.136 5.390 0 0 12.311 5.565 10.266 5.425 2007 4 12.500 -1.372 0 0 12.674 -1.197 10.906 -1.060 2007 5 20.867 1.148 0 0 21.042 1.323 19.246 1.432 2007 6 24.318 -1.046 0 0 24.492 -0.872 23.221 -0.239 2007 7 27.236 -1.218 0 0 27.410 -1.044 26.690 0.141 2007 8 29.839 2.371 0 0 30.013 2.545 28.274 2.711 2007 9 22.939 0.833 0 0 23.113 1.007 21.000 0.799 2007 10 16.935 1.327 0 0 17.110 1.502 15.613 1.910 2007 11 8.572 1.424 0 0 8.747 1.598 6.371 1.128 2007 12 -0.446 -1.668 0 0 -0.272 -1.494 -2.573 -1.890 2008 1 -7.377 -5.567 1 0 NaN NaN -3.619 0.096 2008 2 0.151 -1.595 0 0 0.326 -1.421 -1.154 -0.996 2008 3 6.944 0.199 0 0 7.119 0.373 4.796 -0.045 2008 4 11.813 -2.059 0 0 11.987 -1.885 9.738 -2.229 2008 5 19.647 -0.072 0 0 19.821 0.102 17.110 -0.704 2008 6 26.468 1.104 1 0 NaN NaN 23.882 0.422 2008 7 28.625 0.172 0 0 28.800 0.346 26.481 -0.068 2008 8 28.676 1.208 1 0 NaN NaN 24.425 -1.137 2008 9 20.841 -1.265 0 0 21.015 -1.091 19.347 -0.854 2008 10 14.602 -1.006 0 0 14.776 -0.832 13.549 -0.154 2008 11 7.596 0.448 0 0 7.771 0.622 6.481 1.238 2008 12 -0.948 -2.170 0 0 -0.774 -1.996 -2.441 -1.758 2009 1 -0.538 1.273 0 0 -0.363 1.447 -2.234 1.481 2009 2 6.988 5.241 1 0 NaN NaN 3.113 3.271 2009 3 NaN NaN NaN NaN NaN NaN 5.559 0.718 2009 4 NaN NaN NaN NaN NaN NaN 11.209 -0.757 2009 5 NaN NaN NaN NaN NaN NaN 17.843 0.029 2009 6 28.291 2.926 1 0 NaN NaN 24.209 0.750 2009 7 25.822 -2.631 0 4 25.619 -2.835 24.505 -2.043 2009 8 25.519 -1.950 0 0 25.315 -2.153 24.181 -1.382 2009 9 20.550 -1.556 0 0 20.346 -1.760 18.612 -1.589 2009 10 11.385 -4.223 0 0 11.182 -4.426 9.968 -3.735 2009 11 10.530 3.382 0 0 10.326 3.178 8.448 3.205 2009 12 -1.901 -3.123 0 0 -2.105 -3.327 -4.469 -3.786 2010 1 -2.485 -0.675 0 0 -2.689 -0.878 -5.153 -1.438 2010 2 -0.075 -1.822 0 0 -0.279 -2.025 -2.023 -1.865 2010 3 7.759 1.013 0 0 7.555 0.809 5.860 1.019 2010 4 17.896 4.024 1 0 NaN NaN 14.891 2.924 2010 5 19.192 -0.527 0 0 18.988 -0.731 16.802 -1.012 2010 6 27.552 2.188 1 0 NaN NaN 25.486 2.026 2010 7 29.077 0.623 0 0 28.874 0.420 27.245 0.696 2010 8 29.672 2.204 0 0 29.469 2.001 27.396 1.833 2010 9 23.631 1.525 0 0 23.428 1.322 21.375 1.174 2010 10 19.208 3.600 1 0 NaN NaN 15.852 2.149 2010 11 NaN NaN NaN NaN NaN NaN 6.037 0.794 2010 12 -0.104 -1.326 1 0 NaN NaN -0.594 0.089 2011 1 -2.041 -0.231 0 0 -2.245 -0.434 -4.963 -1.247 2011 2 0.448 -1.298 0 0 0.245 -1.502 -1.796 -1.637 2011 3 8.029 1.283 0 0 7.825 1.079 5.377 0.536 2011 4 15.151 1.279 0 0 14.947 1.076 12.757 0.790 2011 5 19.887 0.168 0 0 19.684 -0.035 17.475 -0.339 2011 6 26.665 1.300 0 0 26.461 1.097 24.984 1.525 2011 7 31.617 3.163 0 0 31.413 2.960 29.905 3.357 2011 8 28.541 1.073 0 0 28.337 0.869 27.040 1.477 2011 9 21.218 -0.888 0 0 21.015 -1.091 18.723 -1.478 2011 10 17.285 1.677 1 0 NaN NaN 14.965 1.261 2011 11 7.794 0.645 1 0 NaN NaN 6.214 0.971 2011 12 2.832 1.610 0 0 2.628 1.406 0.819 1.503 2012 1 3.337 5.147 0 0 3.134 4.944 0.633 4.349 2012 2 3.524 1.777 1 0 NaN NaN 2.120 2.279 2012 3 NaN NaN NaN NaN NaN NaN 12.646 7.805 2012 4 NaN NaN NaN NaN NaN NaN 15.236 3.269 2012 5 NaN NaN NaN NaN NaN NaN 21.181 3.367 2012 6 NaN NaN NaN NaN NaN NaN 25.924 2.464 2012 7 NaN NaN NaN NaN NaN NaN 30.257 3.708 2012 8 NaN NaN NaN NaN NaN NaN 24.851 -0.712 2012 9 NaN NaN NaN NaN NaN NaN 19.587 -0.614 2012 10 NaN NaN NaN NaN NaN NaN 12.783 -0.920 2012 11 NaN NaN NaN NaN NaN NaN 7.684 2.441 2012 12 NaN NaN NaN NaN NaN NaN 0.825 1.508 2013 1 NaN NaN NaN NaN NaN NaN -1.747 1.969 2013 2 NaN NaN NaN NaN NaN NaN 0.236 0.395