% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29747 % Primary Name: VANOSS 2NE MESONET % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.79140 +/- 0.00005 % Longitude: -96.84360 +/- 0.00005 % Elevation (m): 319.74 +/- 0.15 % # of Months: 40 % % Alternate Names: Missing Station ID - 349122 % % IDs: coop - 349122 % ghcnd - USC00349122 % ncdc - 30015030 % nws - VASO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 1d1757f3e20eed471f0217b6eac14553 % Raw Data Hash: f8a70a0e1965dafbb907fa9ee1b20187 % Adj Data Hash: 49e9cad6b273130e567b80e0b5b909f2 % % 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 6 NaN NaN NaN NaN NaN NaN 27.244 1.361 2008 7 NaN NaN NaN NaN NaN NaN 28.938 0.406 2008 8 NaN NaN NaN NaN NaN NaN 27.359 -0.690 2008 9 NaN NaN NaN NaN NaN NaN 22.451 -1.464 2008 10 NaN NaN NaN NaN NaN NaN 17.478 -0.213 2008 11 NaN NaN NaN NaN NaN NaN 11.792 1.051 2008 12 NaN NaN NaN NaN NaN NaN 5.615 -0.398 2009 1 NaN NaN NaN NaN NaN NaN 4.103 0.173 2009 2 NaN NaN NaN NaN NaN NaN 10.372 3.538 2009 3 NaN NaN NaN NaN NaN NaN 12.697 1.394 2009 4 NaN NaN NaN NaN NaN NaN 16.576 -0.413 2009 5 NaN NaN NaN NaN NaN NaN 20.029 -1.297 2009 6 26.000 1.039 0 0 26.000 1.039 27.414 1.531 2009 7 26.500 -1.110 0 0 26.500 -1.110 28.328 -0.204 2009 8 25.778 -1.348 0 0 25.778 -1.348 27.598 -0.451 2009 9 21.333 -1.659 0 0 21.333 -1.659 22.561 -1.354 2009 10 13.222 -3.547 0 0 13.222 -3.547 14.536 -3.155 2009 11 13.111 3.293 0 0 13.111 3.293 13.447 2.706 2009 12 2.000 -3.091 0 0 2.000 -3.091 3.129 -2.884 2010 1 2.833 -0.174 0 0 2.833 -0.174 3.270 -0.659 2010 2 2.722 -3.189 0 0 2.722 -3.189 3.572 -3.262 2010 3 10.222 -0.159 0 0 10.222 -0.159 10.507 -0.796 2010 4 16.889 0.822 0 0 16.889 0.822 17.779 0.790 2010 5 20.722 0.318 0 0 20.722 0.318 21.582 0.256 2010 6 27.056 2.094 0 0 27.056 2.094 28.461 2.578 2010 7 27.722 0.112 0 0 27.722 0.112 28.615 0.083 2010 8 29.222 2.096 0 0 29.222 2.096 30.258 2.210 2010 9 23.889 0.896 0 0 23.889 0.896 24.963 1.048 2010 10 16.889 0.119 0 0 16.889 0.119 18.119 0.427 2010 11 11.611 1.793 0 0 11.611 1.793 12.104 1.363 2010 12 5.389 0.298 0 0 5.389 0.298 6.444 0.431 2011 1 2.444 -0.563 0 0 2.444 -0.563 2.985 -0.944 2011 2 6.167 0.255 0 0 6.167 0.255 6.596 -0.238 2011 3 12.667 2.286 0 0 12.667 2.286 13.125 1.823 2011 4 18.000 1.933 0 0 18.000 1.933 19.205 2.217 2011 5 20.000 -0.404 0 0 20.000 -0.404 21.091 -0.235 2011 6 28.889 3.927 0 0 28.889 3.927 30.190 4.307 2011 7 32.167 4.556 0 0 32.167 4.556 33.099 4.566 2011 8 32.222 5.096 0 0 32.222 5.096 33.009 4.961 2011 9 22.222 -0.771 0 0 22.222 -0.771 23.525 -0.390 2011 10 17.389 0.619 0 0 17.389 0.619 18.300 0.609 2011 11 11.222 1.404 0 0 11.222 1.404 11.639 0.898 2011 12 5.587 0.496 0 0 5.587 0.496 6.445 0.431 2012 1 7.453 4.446 0 0 7.453 4.446 7.329 3.400 2012 2 7.779 1.868 1 0 NaN NaN 8.442 1.609 2012 3 16.211 5.830 0 0 16.211 5.830 16.128 4.825 2012 4 18.502 2.435 0 0 18.502 2.435 19.529 2.540 2012 5 22.181 1.777 0 0 22.181 1.777 23.431 2.106 2012 6 25.642 0.680 0 0 25.642 0.680 27.022 1.138 2012 7 29.626 2.015 0 0 29.626 2.015 30.519 1.986 2012 8 28.039 0.913 0 0 28.039 0.913 28.931 0.883 2012 9 23.988 0.996 0 0 23.988 0.996 24.902 0.987 2012 10 NaN NaN NaN NaN NaN NaN 17.072 -0.619 2012 11 NaN NaN NaN NaN NaN NaN 12.881 2.140 2012 12 NaN NaN NaN NaN NaN NaN 7.597 1.584 2013 1 NaN NaN NaN NaN NaN NaN 5.956 2.027 2013 2 NaN NaN NaN NaN NaN NaN 7.396 0.562 2013 3 NaN NaN NaN NaN NaN NaN 10.296 -1.006 2013 4 NaN NaN NaN NaN NaN NaN 14.681 -2.308 2013 5 NaN NaN NaN NaN NaN NaN 20.505 -0.821 2013 6 NaN NaN NaN NaN NaN NaN 26.628 0.745 2013 7 NaN NaN NaN NaN NaN NaN 27.424 -1.108 2013 8 NaN NaN NaN NaN NaN NaN 28.371 0.323 2013 9 NaN NaN NaN NaN NaN NaN 25.862 1.948