% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30053 % Primary Name: FORT COBB 4NNW MESONET % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.14890 +/- 0.00005 % Longitude: -98.46580 +/- 0.00005 % Elevation (m): 421.84 +/- 0.15 % # of Months: 54 % % Alternate Names: Missing Station ID - 343277 % % IDs: coop - 343277 % ghcnd - USC00343277 % ncdc - 30014971 % nws - FCSO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 09e08398b042126b58e4749db16f8fd7 % Raw Data Hash: 98e9aae0154247ce9217773258427bd5 % Adj Data Hash: 52d4e81853709693d2dfc4c260c8199f % % 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 6.760 0.298 2008 3 NaN NaN NaN NaN NaN NaN 11.409 0.490 2008 4 NaN NaN NaN NaN NaN NaN 16.261 -0.564 2008 5 NaN NaN NaN NaN NaN NaN 22.157 0.580 2008 6 NaN NaN NaN NaN NaN NaN 28.690 2.051 2008 7 NaN NaN NaN NaN NaN NaN 29.267 0.153 2008 8 NaN NaN NaN NaN NaN NaN 27.614 -0.731 2008 9 NaN NaN NaN NaN NaN NaN 22.425 -1.489 2008 10 NaN NaN NaN NaN NaN NaN 17.458 -0.101 2008 11 NaN NaN NaN NaN NaN NaN 11.539 1.298 2008 12 NaN NaN NaN NaN NaN NaN 5.305 -0.202 2009 1 NaN NaN NaN NaN NaN NaN 4.172 0.582 2009 2 8.500 3.340 0 0 8.500 3.340 9.776 3.314 2009 3 11.889 2.272 0 0 11.889 2.272 12.741 1.822 2009 4 15.167 -0.356 0 0 15.167 -0.356 16.934 0.108 2009 5 18.833 -1.442 0 0 18.833 -1.442 19.999 -1.579 2009 6 26.500 1.163 0 0 26.500 1.163 27.620 0.981 2009 7 27.500 -0.312 0 0 27.500 -0.312 29.033 -0.081 2009 8 26.389 -0.653 0 0 26.389 -0.653 28.659 0.315 2009 9 21.278 -1.334 1 0 NaN NaN 22.794 -1.120 2009 10 12.833 -3.424 0 0 12.833 -3.424 14.272 -3.287 2009 11 11.556 2.617 0 0 11.556 2.617 12.597 2.356 2009 12 1.444 -2.760 0 0 1.444 -2.760 2.844 -2.663 2010 1 2.278 -0.010 0 0 2.278 -0.010 2.987 -0.603 2010 2 2.500 -2.660 0 0 2.500 -2.660 3.279 -3.183 2010 3 9.444 -0.172 0 0 9.444 -0.172 10.096 -0.823 2010 4 15.889 0.366 0 0 15.889 0.366 17.124 0.299 2010 5 20.611 0.336 0 0 20.611 0.336 21.215 -0.362 2010 6 27.778 2.441 0 0 27.778 2.441 29.212 2.573 2010 7 27.556 -0.256 0 0 27.556 -0.256 28.367 -0.747 2010 8 28.500 1.458 0 0 28.500 1.458 30.153 1.808 2010 9 24.333 1.721 0 0 24.333 1.721 25.290 1.375 2010 10 17.222 0.965 0 0 17.222 0.965 18.692 1.132 2010 11 10.056 1.117 0 0 10.056 1.117 11.086 0.845 2010 12 4.944 0.740 0 0 4.944 0.740 6.194 0.687 2011 1 1.889 -0.399 0 0 1.889 -0.399 2.822 -0.768 2011 2 5.167 0.006 0 0 5.167 0.006 5.750 -0.713 2011 3 11.889 2.272 0 0 11.889 2.272 12.579 1.660 2011 4 17.444 1.921 0 0 17.444 1.921 19.404 2.579 2011 5 21.333 1.058 0 0 21.333 1.058 22.524 0.947 2011 6 30.111 4.775 0 0 30.111 4.775 31.962 5.323 2011 7 31.222 3.410 0 0 31.222 3.410 33.773 4.659 2011 8 31.500 4.458 0 0 31.500 4.458 33.543 5.199 2011 9 21.778 -0.834 1 0 NaN NaN 23.911 -0.003 2011 10 16.611 0.354 0 0 16.611 0.354 18.246 0.687 2011 11 9.667 0.728 0 0 9.667 0.728 10.742 0.501 2011 12 4.560 0.355 0 0 4.560 0.355 5.313 -0.194 2012 1 6.063 3.775 0 0 6.063 3.775 6.698 3.108 2012 2 6.505 1.345 0 0 6.505 1.345 7.253 0.790 2012 3 14.984 5.367 0 0 14.984 5.367 15.237 4.318 2012 4 18.362 2.839 0 0 18.362 2.839 19.805 2.980 2012 5 23.156 2.882 0 0 23.156 2.882 24.261 2.684 2012 6 26.115 0.778 0 0 26.115 0.778 28.256 1.617 2012 7 29.158 1.346 0 0 29.158 1.346 31.221 2.107 2012 8 NaN NaN NaN NaN NaN NaN 29.367 1.023 2012 9 NaN NaN NaN NaN NaN NaN 24.692 0.778 2012 10 15.758 -0.499 0 0 15.758 -0.499 17.058 -0.502 2012 11 12.020 3.081 0 0 12.020 3.081 13.049 2.808 2012 12 4.997 0.792 0 0 4.997 0.792 6.543 1.036 2013 1 4.742 2.454 0 0 4.742 2.454 5.035 1.445 2013 2 5.221 0.061 0 0 5.221 0.061 6.480 0.018 2013 3 9.498 -0.118 0 0 9.498 -0.118 10.489 -0.430 2013 4 12.748 -2.775 0 0 12.748 -2.775 14.160 -2.665 2013 5 20.184 -0.091 0 0 20.184 -0.091 21.703 0.126 2013 6 26.062 0.725 0 0 26.062 0.725 28.164 1.525 2013 7 26.489 -1.323 0 0 26.489 -1.323 28.327 -0.787 2013 8 26.477 -0.565 0 0 26.477 -0.565 28.966 0.622 2013 9 23.968 1.356 0 0 23.968 1.356 25.804 1.890 2013 10 NaN NaN NaN NaN NaN NaN 17.864 0.305