% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30845 % Primary Name: PERKINS 2NNW MESONET % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.98640 +/- 0.01225 % Longitude: -97.03750 +/- 0.01065 % Elevation (m): 281.94 +/- 10.21 % # of Months: 56 % % Alternate Names: Missing Station ID - 347002 % PERKINS % PERKINS 1 SSE % PERKINS 1 SW % PERKINS 1NE % PERKINS 2 S % % IDs: coop - 347002 % coop - 347003 % ghcnd - USC00347002 % ghcnd - USC00347003 % ncdc - 20014871 % ncdc - 30014965 % nws - PRKO2 % nws - PRNO2 % nws - PRSO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ca8c056b031db6a7d2a7478ce58390f2 % Raw Data Hash: 1facfb9d720b66fecfa69d20d3367982 % Adj Data Hash: 2e58d682b89de1f3b3805e3e4c99b9ea % % 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 4.027 -0.613 2008 3 NaN NaN NaN NaN NaN NaN 9.569 0.249 2008 4 NaN NaN NaN NaN NaN NaN 14.449 -1.103 2008 5 NaN NaN NaN NaN NaN NaN 20.663 0.240 2008 6 NaN NaN NaN NaN NaN NaN 26.306 0.804 2008 7 NaN NaN NaN NaN NaN NaN 28.505 0.127 2008 8 NaN NaN NaN NaN NaN NaN 26.928 -0.732 2008 9 NaN NaN NaN NaN NaN NaN 21.712 -1.394 2008 10 NaN NaN NaN NaN NaN NaN 16.400 -0.352 2008 11 NaN NaN NaN NaN NaN NaN 10.168 1.038 2008 12 NaN NaN NaN NaN NaN NaN 3.318 -0.545 2009 1 NaN NaN NaN NaN NaN NaN 1.794 0.173 2009 2 8.222 3.705 0 0 8.297 3.780 8.156 3.516 2009 3 11.500 2.304 0 0 11.574 2.378 10.595 1.276 2009 4 14.611 -0.818 0 0 14.685 -0.743 15.036 -0.516 2009 5 18.833 -1.467 0 0 18.908 -1.392 19.218 -1.205 2009 6 26.944 1.566 0 0 27.019 1.640 27.589 2.087 2009 7 27.278 -0.977 0 0 27.352 -0.902 27.956 -0.421 2009 8 25.667 -1.870 0 0 25.741 -1.796 26.429 -1.231 2009 9 21.389 -1.594 0 1 21.401 -1.582 21.580 -1.526 2009 10 12.389 -4.241 0 0 12.401 -4.228 13.038 -3.715 2009 11 12.222 3.215 0 0 12.235 3.227 12.038 2.908 2009 12 1.167 -2.572 0 0 1.179 -2.560 1.326 -2.536 2010 1 1.222 -0.276 0 0 1.235 -0.264 0.705 -0.917 2010 2 2.111 -2.406 0 0 2.123 -2.393 2.018 -2.622 2010 3 9.667 0.470 0 0 9.679 0.483 9.000 -0.319 2010 4 16.556 1.127 0 0 16.568 1.139 17.137 1.585 2010 5 20.056 -0.244 0 0 20.068 -0.232 20.142 -0.281 2010 6 26.944 1.566 0 0 26.957 1.578 28.082 2.580 2010 7 28.056 -0.199 0 0 28.068 -0.187 28.821 0.443 2010 8 28.833 1.297 0 0 28.846 1.309 29.404 1.744 2010 9 23.889 0.906 0 0 23.901 0.918 24.302 1.195 2010 10 17.444 0.815 1 0 NaN NaN 17.807 1.054 2010 11 10.111 1.104 0 0 10.123 1.116 10.057 0.927 2010 12 4.000 0.261 0 0 4.012 0.273 3.923 0.061 2011 1 1.333 -0.165 0 0 1.346 -0.152 0.664 -0.957 2011 2 4.167 -0.350 0 0 4.179 -0.338 3.464 -1.176 2011 3 11.111 1.915 0 0 11.123 1.927 10.459 1.140 2011 4 17.500 2.071 0 0 17.512 2.084 17.292 1.740 2011 5 20.222 -0.078 0 0 20.235 -0.065 20.417 -0.006 2011 6 28.889 3.510 0 0 28.901 3.523 29.654 4.152 2011 7 32.611 4.357 0 0 32.623 4.369 33.142 4.765 2011 8 31.167 3.630 0 0 31.179 3.642 31.619 3.959 2011 9 21.444 -1.538 0 0 21.457 -1.526 21.953 -1.153 2011 10 17.000 0.370 0 0 17.012 0.383 17.368 0.615 2011 11 9.833 0.826 0 0 9.846 0.839 9.714 0.584 2011 12 4.931 1.192 0 0 4.943 1.204 4.729 0.867 2012 1 6.252 4.753 0 0 6.264 4.766 5.236 3.614 2012 2 6.517 2.000 1 0 NaN NaN 6.208 1.568 2012 3 15.877 6.681 0 1 15.829 6.633 15.145 5.826 2012 4 17.905 2.476 0 0 17.857 2.428 18.341 2.789 2012 5 23.055 2.755 0 0 23.007 2.707 23.151 2.728 2012 6 26.213 0.835 0 0 26.165 0.787 26.864 1.363 2012 7 30.966 2.712 0 0 30.918 2.663 31.573 3.195 2012 8 28.229 0.692 0 0 28.181 0.644 28.344 0.684 2012 9 23.775 0.792 0 0 23.727 0.744 23.990 0.884 2012 10 15.755 -0.875 0 0 15.707 -0.923 16.259 -0.494 2012 11 11.902 2.895 0 0 11.853 2.846 11.630 2.499 2012 12 5.955 2.216 0 0 5.907 2.168 5.557 1.695 2013 1 4.852 3.353 0 0 4.803 3.305 3.846 2.225 2013 2 4.873 0.356 0 0 4.825 0.308 4.446 -0.194 2013 3 8.965 -0.232 1 0 NaN NaN 8.065 -1.255 2013 4 12.540 -2.889 0 0 12.492 -2.937 12.543 -3.009 2013 5 18.871 -1.429 0 0 18.823 -1.477 19.263 -1.160 2013 6 25.537 0.158 0 0 25.488 0.110 26.315 0.813 2013 7 26.469 -1.785 0 0 26.421 -1.833 27.305 -1.072 2013 8 26.887 -0.650 0 0 26.839 -0.698 27.202 -0.458 2013 9 24.247 1.264 0 0 24.198 1.216 24.524 1.418 2013 10 NaN NaN NaN NaN NaN NaN 16.463 -0.290