% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31746 % Primary Name: WINONA FOREST RS % Record Type: TAVG % Country: United States % State: MO % Latitude: 36.97830 +/- 0.00005 % Longitude: -91.38470 +/- 0.00005 % Elevation (m): 292.91 +/- 0.15 % # of Months: 38 % % Alternate Names: Missing Station ID - 239056 % WINONA 3 SW % % IDs: coop - 239056 % ghcnd - USC00239056 % ncdc - 20011644 % nws - WFRM7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6503a141808430a846561d855a9bedb6 % Raw Data Hash: 1d0871cd826d85c3e4231f2bbf43a0df % Adj Data Hash: bf6ab658a80754d4e1b3d50dcba35725 % % 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 2009 9 NaN NaN NaN NaN NaN NaN 20.253 -0.166 2009 10 NaN NaN NaN NaN NaN NaN 11.619 -2.467 2009 11 NaN NaN NaN NaN NaN NaN 11.016 3.773 2009 12 NaN NaN NaN NaN NaN NaN 0.525 -1.333 2010 1 NaN NaN NaN NaN NaN NaN -2.626 -1.797 2010 2 NaN NaN NaN NaN NaN NaN -1.003 -2.875 2010 3 NaN NaN NaN NaN NaN NaN 7.718 0.918 2010 4 NaN NaN NaN NaN NaN NaN 16.821 3.288 2010 5 NaN NaN NaN NaN NaN NaN 18.776 0.480 2010 6 NaN NaN NaN NaN NaN NaN 25.819 2.999 2010 7 NaN NaN NaN NaN NaN NaN 26.915 1.568 2010 8 NaN NaN NaN NaN NaN NaN 26.611 2.157 2010 9 19.722 0.175 0 0 19.722 0.175 21.018 0.599 2010 10 13.222 0.008 0 0 13.222 0.008 15.553 1.467 2010 11 NaN NaN NaN NaN NaN NaN 9.110 1.867 2010 12 -0.542 -1.529 1 0 NaN NaN -0.520 -2.378 2011 1 -0.611 1.089 0 0 -0.611 1.089 -1.996 -1.168 2011 2 2.889 1.888 0 0 2.889 1.888 2.165 0.292 2011 3 8.167 2.239 0 0 8.167 2.239 7.618 0.819 2011 4 14.278 1.617 0 0 14.278 1.617 15.539 2.006 2011 5 16.833 -0.591 0 0 16.833 -0.591 17.594 -0.701 2011 6 24.167 2.219 0 0 24.167 2.219 24.903 2.083 2011 7 26.758 2.283 1 0 NaN NaN 28.437 3.091 2011 8 24.778 1.196 0 0 24.778 1.196 25.803 1.350 2011 9 16.944 -2.603 0 0 16.944 -2.603 18.696 -1.722 2011 10 12.500 -0.714 0 0 12.500 -0.714 14.825 0.739 2011 11 9.056 2.684 0 0 9.056 2.684 9.725 2.481 2011 12 3.195 2.209 0 0 3.195 2.209 4.159 2.301 2012 1 2.860 4.560 0 0 2.860 4.560 2.648 3.477 2012 2 4.630 3.630 0 0 4.630 3.630 4.882 3.010 2012 3 13.832 7.904 0 0 13.832 7.904 14.846 8.047 2012 4 14.167 1.506 0 0 14.167 1.506 15.744 2.212 2012 5 19.665 2.240 0 0 19.665 2.240 21.338 3.042 2012 6 22.230 0.282 0 0 22.230 0.282 24.159 1.339 2012 7 27.958 3.483 0 0 27.958 3.483 29.231 3.885 2012 8 24.173 0.591 0 0 24.173 0.591 25.167 0.714 2012 9 18.962 -0.585 0 0 18.962 -0.585 19.987 -0.432 2012 10 11.544 -1.671 0 0 11.544 -1.671 13.096 -0.990 2012 11 6.522 0.150 0 0 6.522 0.150 7.910 0.666 2012 12 4.619 3.633 0 0 4.619 3.633 5.182 3.324 2013 1 2.416 4.116 0 0 2.416 4.116 1.468 2.296 2013 2 2.475 1.474 0 0 2.475 1.474 2.076 0.203 2013 3 3.984 -1.944 0 0 3.984 -1.944 3.729 -3.071 2013 4 11.602 -1.059 0 0 11.602 -1.059 12.588 -0.945 2013 5 16.960 -0.465 0 0 16.960 -0.465 18.050 -0.246 2013 6 21.970 0.022 0 0 21.970 0.022 23.139 0.319 2013 7 22.411 -2.064 0 0 22.411 -2.064 24.011 -1.336 2013 8 22.782 -0.799 0 0 22.782 -0.799 23.821 -0.632 2013 9 20.478 0.931 0 0 20.478 0.931 21.994 1.575 2013 10 12.985 -0.229 0 0 12.985 -0.229 14.206 0.119 2013 11 9.792 3.420 1 0 NaN NaN NaN NaN