% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30222 % Primary Name: BINGER % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.30000 +/- 0.00833 % Longitude: -98.50000 +/- 0.00833 % Elevation (m): 445.20 +/- 31.98 % # of Months: 25 % % Alternate Names: Missing Station ID - 340760 % % IDs: coop - 340760 % ghcnd - USC00340760 % ncdc - 12004090 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5a43ef6a4c015e83e80edba3527e9ead % Raw Data Hash: d1ae807e6d6ed160e887bc9e54a39481 % Adj Data Hash: 940622d66f5c3776ca9b962f0e9beb90 % % 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 1902 6 NaN NaN NaN NaN NaN NaN 27.091 0.452 1902 7 NaN NaN NaN NaN NaN NaN 27.461 -1.653 1902 8 NaN NaN NaN NaN NaN NaN 29.953 1.608 1902 9 NaN NaN NaN NaN NaN NaN 21.511 -2.404 1902 10 NaN NaN NaN NaN NaN NaN 18.010 0.451 1902 11 NaN NaN NaN NaN NaN NaN 11.752 1.511 1902 12 NaN NaN NaN NaN NaN NaN 4.020 -1.487 1903 1 NaN NaN NaN NaN NaN NaN 4.126 0.536 1903 2 NaN NaN NaN NaN NaN NaN 2.311 -4.151 1903 3 NaN NaN NaN NaN NaN NaN 9.498 -1.421 1903 4 NaN NaN NaN NaN NaN NaN 16.481 -0.344 1903 5 NaN NaN NaN NaN NaN NaN 19.277 -2.300 1903 6 19.957 -5.506 0 0 19.957 -5.506 22.610 -4.029 1903 7 26.513 -1.425 0 0 26.513 -1.425 28.568 -0.546 1903 8 26.631 -0.538 0 0 26.631 -0.538 28.161 -0.184 1903 9 20.812 -1.926 0 0 20.812 -1.926 22.518 -1.397 1903 10 15.756 -0.628 0 0 15.756 -0.628 17.109 -0.450 1903 11 8.692 -0.374 0 0 8.692 -0.374 9.199 -1.042 1903 12 3.927 -0.404 0 0 3.927 -0.404 5.826 0.319 1904 1 1.351 -1.063 0 0 1.351 -1.063 2.561 -1.029 1904 2 7.078 1.791 1 0 NaN NaN 8.326 1.863 1904 3 13.847 4.104 0 0 13.847 4.104 14.560 3.641 1904 4 15.644 -0.005 1 0 NaN NaN 16.754 -0.071 1904 5 -3.718 -24.119 1 0 NaN NaN 21.061 -0.516 1904 6 NaN NaN NaN NaN NaN NaN 25.405 -1.234 1904 7 NaN NaN NaN NaN NaN NaN 27.743 -1.371 1904 8 25.490 -1.679 0 0 25.490 -1.679 27.004 -1.340 1904 9 NaN NaN NaN NaN NaN NaN 23.867 -0.047 1904 10 16.818 0.434 0 0 16.818 0.434 17.989 0.429 1904 11 9.211 0.146 1 0 NaN NaN 11.047 0.806 1904 12 3.468 -0.863 1 0 NaN NaN 4.809 -0.698 1905 1 -1.853 -4.267 0 0 -1.853 -4.267 -0.371 -3.961 1905 2 -2.866 -8.153 0 0 -2.866 -8.153 -2.283 -8.746 1905 3 13.535 3.793 0 0 13.535 3.793 13.285 2.366 1905 4 13.860 -1.789 0 0 13.860 -1.789 15.022 -1.803 1905 5 20.777 0.376 0 0 20.777 0.376 21.186 -0.391 1905 6 NaN NaN NaN NaN NaN NaN 26.721 0.082 1905 7 -4.500 -32.438 1 0 NaN NaN 26.625 -2.489 1905 8 26.876 -0.293 0 0 26.876 -0.293 28.171 -0.173 1905 9 NaN NaN NaN NaN NaN NaN 24.536 0.622 1905 10 NaN NaN NaN NaN NaN NaN 16.488 -1.072 1905 11 NaN NaN NaN NaN NaN NaN 11.267 1.026 1905 12 NaN NaN NaN NaN NaN NaN 4.020 -1.487 1906 1 NaN NaN NaN NaN NaN NaN 5.426 1.836 1906 2 NaN NaN NaN NaN NaN NaN 6.061 -0.401 1906 3 9.110 -0.633 1 0 NaN NaN 7.048 -3.871 1906 4 17.135 1.486 0 0 17.135 1.486 17.310 0.484 1906 5 NaN NaN NaN NaN NaN NaN 21.011 -0.566 1906 6 NaN NaN NaN NaN NaN NaN 25.125 -1.514 1906 7 NaN NaN NaN NaN NaN NaN 25.765 -3.349 1906 8 NaN NaN NaN NaN NaN NaN 25.947 -2.397 1906 9 NaN NaN NaN NaN NaN NaN 23.287 -0.627 1906 10 NaN NaN NaN NaN NaN NaN 14.610 -2.950 1906 11 NaN NaN NaN NaN NaN NaN 8.522 -1.719 1906 12 NaN NaN NaN NaN NaN NaN 8.070 2.563 1907 1 NaN NaN NaN NaN NaN NaN 7.175 3.585 1907 2 NaN NaN NaN NaN NaN NaN 8.195 1.732 1907 3 NaN NaN NaN NaN NaN NaN 16.049 5.130 1907 4 NaN NaN NaN NaN NaN NaN 14.635 -2.191