% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 161862 % Primary Name: ALVA RGNL AP % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.76985 +/- 0.00335 % Longitude: -98.66818 +/- 0.00168 % Elevation (m): 449.15 +/- 0.20 % # of Months: 100 % % Alternate Names: ALVA RGNL % Missing Station ID - 999999-53933 % % IDs: faa - AVK % gsod - 722052-53933 % gsod - 722052-99999 % gsod - 999999-53933 % icao - KAVK % ncdc - 30002249 % usaf - 722052 % wban - 53933 % % Sources: Global Summary of the Day % Multi-network Metadata System % % Site Hash: 76b63008b622326b9493c2afbcc6a2ed % Raw Data Hash: ea036c051c7ecdd62acc428e76d4bbb7 % Adj Data Hash: 7932ce9958ae16baf6c5b3d3642bd707 % % 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 2003 7 NaN NaN NaN NaN NaN NaN 29.356 1.530 2003 8 NaN NaN NaN NaN NaN NaN 28.633 1.631 2003 9 NaN NaN NaN NaN NaN NaN 20.415 -1.868 2003 10 NaN NaN NaN NaN NaN NaN 16.982 1.126 2003 11 NaN NaN NaN NaN NaN NaN 8.235 0.144 2003 12 NaN NaN NaN NaN NaN NaN 4.900 1.738 2004 1 NaN NaN NaN NaN NaN NaN 2.457 1.351 2004 2 NaN NaN NaN NaN NaN NaN 3.248 -0.790 2004 3 NaN NaN NaN NaN NaN NaN 11.652 3.268 2004 4 NaN NaN NaN NaN NaN NaN 14.894 0.264 2004 5 NaN NaN NaN NaN NaN NaN 21.685 2.034 2004 6 NaN NaN NaN NaN NaN NaN 24.553 -0.477 2004 7 26.249 -1.430 1 0 NaN NaN 26.157 -1.668 2004 8 24.934 -1.921 0 0 25.107 -1.748 24.811 -2.190 2004 9 23.589 1.453 0 0 23.762 1.626 23.078 0.795 2004 10 15.765 0.055 0 0 15.939 0.229 16.629 0.773 2004 11 7.894 -0.050 0 0 8.068 0.123 8.480 0.389 2004 12 3.677 0.662 0 0 3.851 0.835 4.667 1.505 2005 1 0.936 -0.024 0 0 1.110 0.150 2.087 0.981 2005 2 6.587 2.696 1 0 NaN NaN 6.324 2.286 2005 3 8.656 0.418 0 0 8.829 0.592 8.701 0.317 2005 4 14.682 0.199 0 0 14.856 0.372 14.653 0.023 2005 5 19.872 0.367 0 0 20.045 0.541 19.328 -0.323 2005 6 25.656 0.772 0 0 25.829 0.946 25.332 0.303 2005 7 27.131 -0.548 0 0 27.304 -0.375 26.922 -0.903 2005 8 26.450 -0.405 1 0 NaN NaN 26.471 -0.530 2005 9 24.514 2.378 0 0 24.687 2.551 24.163 1.880 2005 10 15.937 0.227 0 0 16.111 0.401 16.778 0.921 2005 11 9.760 1.816 1 0 NaN NaN 10.468 2.377 2005 12 1.491 -1.525 0 0 1.664 -1.351 2.765 -0.397 2006 1 6.611 5.651 0 0 6.785 5.825 6.940 5.834 2006 2 3.407 -0.484 0 0 3.580 -0.311 3.930 -0.108 2006 3 9.910 1.673 0 0 10.084 1.846 10.107 1.723 2006 4 17.743 3.259 0 0 17.916 3.433 18.299 3.670 2006 5 21.310 1.806 0 0 21.483 1.979 21.469 1.818 2006 6 26.585 1.702 0 0 26.759 1.875 26.795 1.765 2006 7 29.572 1.893 0 0 29.745 2.066 29.480 1.654 2006 8 27.952 1.097 0 0 28.125 1.270 28.066 1.065 2006 9 20.987 -1.149 0 0 21.160 -0.976 20.180 -2.102 2006 10 15.495 -0.215 0 0 15.668 -0.042 16.309 0.452 2006 11 8.930 0.985 0 0 9.103 1.159 9.182 1.091 2006 12 4.093 1.077 0 0 4.267 1.251 4.496 1.334 2007 1 0.265 -0.694 0 0 0.439 -0.521 0.221 -0.885 2007 2 2.345 -1.546 0 0 2.519 -1.372 2.673 -1.364 2007 3 13.199 4.961 0 0 13.372 5.135 12.912 4.528 2007 4 11.659 -2.824 0 4 10.994 -3.489 12.454 -2.176 2007 5 19.615 0.110 0 0 18.950 -0.555 19.732 0.081 2007 6 24.243 -0.640 0 0 23.578 -1.305 23.656 -1.373 2007 7 27.282 -0.397 0 0 26.617 -1.062 26.189 -1.636 2007 8 29.572 2.717 0 0 28.907 2.052 28.422 1.420 2007 9 24.033 1.897 0 0 23.368 1.232 23.293 1.011 2007 10 18.138 2.428 0 0 17.473 1.763 17.916 2.060 2007 11 9.587 1.643 1 0 NaN NaN 9.055 0.964 2007 12 1.459 -1.557 0 0 0.794 -2.222 2.030 -1.132 2008 1 3.138 2.178 0 0 2.473 1.513 2.698 1.592 2008 2 3.380 -0.511 0 0 2.715 -1.176 3.875 -0.162 2008 3 9.254 1.017 0 0 8.590 0.352 8.801 0.417 2008 4 12.972 -1.511 0 0 12.307 -2.176 13.690 -0.940 2008 5 20.154 0.650 0 0 19.489 -0.015 20.002 0.351 2008 6 26.635 1.752 0 0 25.970 1.087 26.233 1.204 2008 7 28.738 1.059 0 0 28.073 0.395 27.882 0.057 2008 8 26.907 0.052 0 0 26.242 -0.613 26.255 -0.747 2008 9 21.250 -0.886 0 0 20.585 -1.551 20.834 -1.448 2008 10 15.416 -0.294 0 0 14.751 -0.959 15.533 -0.323 2008 11 10.228 2.283 1 0 NaN NaN 9.443 1.352 2008 12 3.165 0.149 0 0 2.500 -0.516 2.991 -0.171 2009 1 2.597 1.637 0 0 1.932 0.972 2.039 0.933 2009 2 7.937 4.046 0 0 7.272 3.381 7.395 3.358 2009 3 10.213 1.975 0 0 9.548 1.310 9.503 1.119 2009 4 14.569 0.085 0 0 13.904 -0.580 14.292 -0.338 2009 5 19.726 0.221 0 0 19.061 -0.443 18.218 -1.433 2009 6 27.844 2.961 0 0 27.180 2.296 26.445 1.416 2009 7 28.887 1.208 0 0 28.222 0.543 27.862 0.037 2009 8 27.163 0.308 0 0 26.498 -0.357 26.538 -0.464 2009 9 21.865 -0.271 0 0 21.200 -0.936 20.829 -1.453 2009 10 18.528 2.818 1 0 NaN NaN 12.095 -3.762 2009 11 NaN NaN NaN NaN NaN NaN 10.894 2.803 2009 12 NaN NaN NaN NaN NaN NaN 0.701 -2.461 2010 1 NaN NaN NaN NaN NaN NaN 0.349 -0.758 2010 2 NaN NaN NaN NaN NaN NaN 1.264 -2.774 2010 3 NaN NaN NaN NaN NaN NaN 8.067 -0.317 2010 4 NaN NaN NaN NaN NaN NaN 15.981 1.352 2010 5 NaN NaN NaN NaN NaN NaN 19.200 -0.451 2010 6 NaN NaN NaN NaN NaN NaN 27.700 2.670 2010 7 NaN NaN NaN NaN NaN NaN 27.778 -0.047 2010 8 NaN NaN NaN NaN NaN NaN 28.474 1.473 2010 9 NaN NaN NaN NaN NaN NaN 24.136 1.854 2010 10 NaN NaN NaN NaN NaN NaN 17.396 1.540 2010 11 NaN NaN NaN NaN NaN NaN 8.547 0.456 2010 12 1.368 -1.648 1 0 NaN NaN 3.503 0.341 2011 1 -0.713 -1.673 0 2 -0.275 -1.235 0.623 -0.483 2011 2 1.521 -2.370 1 0 NaN NaN 2.709 -1.329 2011 3 8.737 0.499 0 0 9.175 0.937 9.618 1.234 2011 4 15.313 0.830 0 0 15.751 1.268 16.148 1.518 2011 5 20.346 0.842 0 0 20.785 1.280 19.957 0.307 2011 6 29.457 4.574 0 0 29.896 5.012 29.676 4.646 2011 7 31.934 4.255 0 0 32.372 4.693 32.267 4.442 2011 8 30.544 3.689 0 0 30.983 4.128 30.929 3.928 2011 9 21.330 -0.806 0 0 21.768 -0.368 21.810 -0.472 2011 10 15.593 -0.117 0 0 16.031 0.322 16.482 0.626 2011 11 7.667 -0.278 0 0 8.105 0.160 8.454 0.363 2011 12 2.398 -0.618 0 0 2.836 -0.180 3.362 0.200 2012 1 3.425 2.465 0 0 3.863 2.903 4.657 3.551 2012 2 4.485 0.594 0 0 4.923 1.032 4.810 0.773 2012 3 13.699 5.461 0 0 14.137 5.900 13.968 5.584 2012 4 17.086 2.602 0 0 17.524 3.041 17.489 2.860 2012 5 22.937 3.433 0 0 23.376 3.871 22.428 2.777 2012 6 26.470 1.587 0 0 26.909 2.025 27.156 2.126 2012 7 30.817 3.138 0 0 31.255 3.576 30.614 2.789 2012 8 26.603 -0.252 0 0 27.041 0.186 27.219 0.218 2012 9 22.730 0.594 0 0 23.168 1.032 22.878 0.596 2012 10 14.466 -1.244 0 0 14.904 -0.806 15.357 -0.499 2012 11 9.946 2.002 1 0 NaN NaN 11.016 2.925 2012 12 3.168 0.153 0 0 3.607 0.591 4.401 1.239 2013 1 2.212 1.253 0 0 2.651 1.691 2.925 1.819 2013 2 2.242 -1.649 0 0 2.680 -1.211 3.106 -0.931 2013 3 6.185 -2.053 0 0 6.623 -1.615 7.465 -0.919 2013 4 10.343 -4.141 0 0 10.781 -3.702 11.529 -3.100 2013 5 18.283 -1.221 0 0 18.721 -0.783 19.421 -0.230 2013 6 25.880 0.996 0 0 26.318 1.435 26.481 1.451 2013 7 26.926 -0.753 0 0 27.364 -0.315 27.138 -0.687 2013 8 27.759 0.904 1 0 NaN NaN 26.962 -0.039 2013 9 23.898 1.762 0 0 24.336 2.200 23.944 1.662 2013 10 14.767 -0.943 0 0 15.205 -0.505 15.680 -0.177 2013 11 10.049 2.104 1 0 NaN NaN NaN NaN