% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32094 % Primary Name: VICTORY 5NW % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.32280 +/- 0.00005 % Longitude: -84.11830 +/- 0.00005 % Elevation (m): 345.03 +/- 0.15 % # of Months: 19 % % Alternate Names: Missing Station ID - 158330 % % IDs: coop - 158330 % ghcnd - USC00158330 % ncdc - 30015534 % nws - VICK2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: bf67e475a2ae1667f5ff9a072f1e2f34 % Raw Data Hash: 3c4a7239bd4578cf4f73378ebc3a830e % Adj Data Hash: 1ac69246cc7d4454b47f7f536872e36f % % 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 10 NaN NaN NaN NaN NaN NaN 12.165 -1.051 2009 11 NaN NaN NaN NaN NaN NaN 9.693 2.459 2009 12 NaN NaN NaN NaN NaN NaN 2.101 -0.298 2010 1 NaN NaN NaN NaN NaN NaN -1.527 -1.837 2010 2 NaN NaN NaN NaN NaN NaN -1.565 -3.504 2010 3 NaN NaN NaN NaN NaN NaN 7.915 0.872 2010 4 NaN NaN NaN NaN NaN NaN 15.546 2.718 2010 5 NaN NaN NaN NaN NaN NaN 19.548 1.814 2010 6 NaN NaN NaN NaN NaN NaN 24.740 2.930 2010 7 NaN NaN NaN NaN NaN NaN 25.382 1.481 2010 8 NaN NaN NaN NaN NaN NaN 25.312 1.920 2010 9 NaN NaN NaN NaN NaN NaN 21.434 1.404 2010 10 13.167 0.968 0 0 13.167 0.968 14.337 1.121 2010 11 7.556 1.339 0 0 7.556 1.339 8.726 1.492 2010 12 -3.111 -4.492 0 0 -3.111 -4.492 -2.008 -4.406 2011 1 -1.833 -1.126 0 0 -1.833 -1.126 -1.427 -1.738 2011 2 3.222 2.300 0 0 3.222 2.300 3.465 1.525 2011 3 8.222 2.197 0 0 8.222 2.197 8.567 1.524 2011 4 NaN NaN NaN NaN NaN NaN 15.054 2.226 2011 5 17.944 1.228 0 0 17.944 1.228 17.878 0.144 2011 6 21.667 0.875 0 0 21.667 0.875 23.074 1.264 2011 7 24.556 1.673 0 0 24.556 1.673 25.943 2.043 2011 8 22.722 0.347 0 0 22.722 0.347 24.019 0.626 2011 9 18.389 -0.624 0 0 18.389 -0.624 20.098 0.067 2011 10 13.846 1.647 1 0 NaN NaN 12.781 -0.435 2011 11 14.450 8.234 1 0 NaN NaN 10.255 3.020 2011 12 NaN NaN NaN NaN NaN NaN 5.303 2.905 2012 1 NaN NaN NaN NaN NaN NaN 2.992 2.682 2012 2 6.294 5.372 1 0 NaN NaN 4.027 2.087 2012 3 NaN NaN NaN NaN NaN NaN 13.968 6.925 2012 4 NaN NaN NaN NaN NaN NaN 13.649 0.821 2012 5 21.061 4.345 1 0 NaN NaN 20.468 2.734 2012 6 20.912 0.120 0 0 20.912 0.120 22.236 0.426 2012 7 25.026 2.143 0 0 25.026 2.143 26.258 2.357 2012 8 21.931 -0.444 0 0 21.931 -0.444 23.451 0.059 2012 9 20.279 1.266 1 0 NaN NaN 20.046 0.015 2012 10 NaN NaN NaN NaN NaN NaN 12.836 -0.381 2012 11 NaN NaN NaN NaN NaN NaN 6.493 -0.741 2012 12 NaN NaN NaN NaN NaN NaN 6.103 3.705 2013 1 NaN NaN NaN NaN NaN NaN 2.161 1.850 2013 2 NaN NaN NaN NaN NaN NaN 1.694 -0.245 2013 3 NaN NaN NaN NaN NaN NaN 3.953 -3.090 2013 4 NaN NaN NaN NaN NaN NaN 13.428 0.600 2013 5 NaN NaN NaN NaN NaN NaN 18.092 0.358 2013 6 NaN NaN NaN NaN NaN NaN 22.748 0.938 2013 7 NaN NaN NaN NaN NaN NaN 23.816 -0.085 2013 8 NaN NaN NaN NaN NaN NaN 22.960 -0.433 2013 9 NaN NaN NaN NaN NaN NaN 20.608 0.577