% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29752 % Primary Name: ADA 2NNE MESONET % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.79860 +/- 0.00005 % Longitude: -96.66920 +/- 0.00005 % Elevation (m): 294.74 +/- 0.15 % # of Months: 56 % % Alternate Names: Missing Station ID - 340027 % % IDs: coop - 340027 % ghcnd - USC00340027 % ncdc - 30014921 % nws - ADSO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ce2cbc7bd373170c0ac2f0fc82f9e054 % Raw Data Hash: 22edc7c041c26f2564f48e38d13e4af2 % Adj Data Hash: 0ab78bd3e6662ecb2e70e7fa780799bf % % 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 2 NaN NaN NaN NaN NaN NaN 6.877 0.043 2008 3 NaN NaN NaN NaN NaN NaN 11.621 0.318 2008 4 NaN NaN NaN NaN NaN NaN 16.225 -0.764 2008 5 NaN NaN NaN NaN NaN NaN 21.612 0.286 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 9.556 3.587 0 0 9.603 3.634 10.372 3.538 2009 3 12.111 1.673 0 0 12.158 1.720 12.697 1.394 2009 4 15.611 -0.513 0 0 15.658 -0.465 16.576 -0.413 2009 5 18.889 -1.572 0 0 18.936 -1.525 20.029 -1.297 2009 6 25.889 0.870 0 0 25.936 0.918 27.414 1.531 2009 7 26.889 -0.779 0 0 26.936 -0.731 28.328 -0.204 2009 8 26.056 -1.128 0 0 26.103 -1.080 27.598 -0.451 2009 9 21.611 -1.439 0 0 21.658 -1.391 22.561 -1.354 2009 10 13.333 -3.493 0 0 13.381 -3.446 14.536 -3.155 2009 11 13.111 3.235 0 0 13.158 3.283 13.447 2.706 2009 12 2.111 -3.037 1 0 NaN NaN 3.129 -2.884 2010 1 2.833 -0.231 0 0 2.881 -0.184 3.270 -0.659 2010 2 2.833 -3.135 0 0 2.881 -3.088 3.572 -3.262 2010 3 10.278 -0.160 0 0 10.325 -0.113 10.507 -0.796 2010 4 16.722 0.598 0 0 16.770 0.646 17.779 0.790 2010 5 20.611 0.150 0 0 20.658 0.197 21.582 0.256 2010 6 27.000 1.981 0 0 27.047 2.029 28.461 2.578 2010 7 27.778 0.110 0 0 27.825 0.157 28.615 0.083 2010 8 29.389 2.206 0 0 29.436 2.253 30.258 2.210 2010 9 23.722 0.672 0 0 23.770 0.720 24.963 1.048 2010 10 16.944 0.118 0 0 16.992 0.165 18.119 0.427 2010 11 11.667 1.791 0 0 11.714 1.838 12.104 1.363 2010 12 5.500 0.352 1 0 NaN NaN 6.444 0.431 2011 1 2.611 -0.454 0 0 2.658 -0.406 2.985 -0.944 2011 2 6.221 0.253 0 0 6.269 0.300 6.596 -0.238 2011 3 12.611 2.173 0 0 12.658 2.220 13.125 1.823 2011 4 17.944 1.821 0 1 17.904 1.780 19.205 2.217 2011 5 20.000 -0.461 0 0 19.959 -0.502 21.091 -0.235 2011 6 29.167 4.148 0 0 29.126 4.107 30.190 4.307 2011 7 32.556 4.888 0 0 32.515 4.847 33.099 4.566 2011 8 32.222 5.039 0 0 32.182 4.998 33.009 4.961 2011 9 22.278 -0.772 0 0 22.237 -0.813 23.525 -0.390 2011 10 17.778 0.951 0 0 17.737 0.911 18.300 0.609 2011 11 11.333 1.458 0 0 11.293 1.417 11.639 0.898 2011 12 5.923 0.774 1 0 NaN NaN 6.445 0.431 2012 1 7.584 4.519 0 0 7.543 4.479 7.329 3.400 2012 2 7.719 1.750 1 0 NaN NaN 8.442 1.609 2012 3 16.061 5.623 0 0 16.021 5.583 16.128 4.825 2012 4 18.287 2.163 0 0 18.246 2.122 19.529 2.540 2012 5 22.403 1.942 0 0 22.363 1.902 23.431 2.106 2012 6 26.040 1.021 0 0 25.999 0.981 27.022 1.138 2012 7 30.010 2.342 0 0 29.969 2.301 30.519 1.986 2012 8 28.016 0.833 0 0 27.976 0.792 28.931 0.883 2012 9 24.027 0.977 0 0 23.986 0.936 24.902 0.987 2012 10 16.095 -0.731 0 0 16.055 -0.772 17.072 -0.619 2012 11 11.867 1.991 0 0 11.826 1.950 12.881 2.140 2012 12 6.881 1.732 0 0 6.840 1.692 7.597 1.584 2013 1 5.494 2.429 0 0 5.453 2.388 5.956 2.027 2013 2 6.159 0.190 0 0 6.118 0.150 7.396 0.562 2013 3 9.648 -0.790 0 0 9.608 -0.830 10.296 -1.006 2013 4 13.978 -2.146 0 0 13.938 -2.186 14.681 -2.308 2013 5 19.376 -1.085 0 0 19.335 -1.126 20.505 -0.821 2013 6 25.328 0.310 0 0 25.288 0.269 26.628 0.745 2013 7 26.353 -1.314 0 0 26.313 -1.355 27.424 -1.108 2013 8 27.032 -0.151 0 0 26.992 -0.192 28.371 0.323 2013 9 24.852 1.802 0 0 24.811 1.761 25.862 1.948 2013 10 NaN NaN NaN NaN NaN NaN 17.789 0.098