% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29018 % Primary Name: RYAN % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.01670 +/- 0.00005 % Longitude: -97.95000 +/- 0.00005 % Elevation (m): 271.44 +/- 27.97 % # of Months: 38 % % Alternate Names: Missing Station ID - 347785 % % IDs: coop - 347785 % ghcnd - USC00347785 % ncdc - 12004238 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 00b57f5687ee781a0fc78ef65f97d866 % Raw Data Hash: aa7f269edd279a49a3f5294e677cab42 % Adj Data Hash: 432d08c45e0cbdbb6ff478a5628c65c4 % % 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 1898 4 NaN NaN NaN NaN NaN NaN 15.607 -1.381 1898 5 NaN NaN NaN NaN NaN NaN 20.906 -0.420 1898 6 NaN NaN NaN NaN NaN NaN 25.400 -0.484 1898 7 NaN NaN NaN NaN NaN NaN 26.870 -1.663 1898 8 NaN NaN NaN NaN NaN NaN 26.307 -1.741 1898 9 NaN NaN NaN NaN NaN NaN 23.719 -0.195 1898 10 NaN NaN NaN NaN NaN NaN 16.335 -1.357 1898 11 NaN NaN NaN NaN NaN NaN 8.360 -2.380 1898 12 NaN NaN NaN NaN NaN NaN 2.640 -3.373 1899 1 NaN NaN NaN NaN NaN NaN 2.840 -1.090 1899 2 NaN NaN NaN NaN NaN NaN -0.774 -7.608 1899 3 NaN NaN NaN NaN NaN NaN 9.417 -1.886 1899 4 19.747 1.421 1 0 NaN NaN 15.951 -1.037 1899 5 24.352 1.688 0 0 24.352 1.688 22.498 1.172 1899 6 26.483 -0.738 0 0 26.483 -0.738 25.307 -0.576 1899 7 NaN NaN NaN NaN NaN NaN 26.801 -1.731 1899 8 -2.706 -32.092 1 0 NaN NaN 30.176 2.128 1899 9 24.365 -0.887 1 0 NaN NaN 23.238 -0.677 1899 10 21.242 2.213 0 0 21.242 2.213 19.595 1.903 1899 11 13.999 1.921 0 0 13.999 1.921 12.263 1.522 1899 12 5.732 -1.618 0 0 5.732 -1.618 5.166 -0.847 1900 1 6.944 1.676 0 0 6.944 1.676 5.431 1.502 1900 2 5.645 -2.527 0 0 5.645 -2.527 4.529 -2.305 1900 3 NaN NaN NaN NaN NaN NaN 10.728 -0.575 1900 4 17.740 -0.586 0 0 17.740 -0.586 16.811 -0.178 1900 5 21.552 -1.112 0 0 21.552 -1.112 20.256 -1.070 1900 6 27.408 0.187 0 0 27.408 0.187 26.148 0.264 1900 7 28.129 -1.741 0 0 28.129 -1.741 26.645 -1.887 1900 8 28.637 -0.749 0 0 28.637 -0.749 27.425 -0.623 1900 9 25.858 0.606 0 0 25.858 0.606 25.011 1.097 1900 10 19.523 0.494 0 0 19.523 0.494 19.158 1.467 1900 11 11.045 -1.033 0 0 11.045 -1.033 11.171 0.431 1900 12 7.250 -0.101 0 0 7.250 -0.101 7.042 1.029 1901 1 7.923 2.655 0 0 7.923 2.655 6.056 2.127 1901 2 5.102 -3.069 0 0 5.102 -3.069 4.171 -2.663 1901 3 12.797 0.156 0 0 12.797 0.156 10.645 -0.658 1901 4 16.512 -1.815 0 0 16.512 -1.815 15.286 -1.702 1901 5 21.684 -0.979 0 0 21.684 -0.979 20.385 -0.941 1901 6 27.509 0.288 0 0 27.509 0.288 26.587 0.703 1901 7 31.263 1.393 0 0 31.263 1.393 29.872 1.340 1901 8 29.524 0.139 0 0 29.524 0.139 28.236 0.188 1901 9 25.148 -0.104 0 0 25.148 -0.104 23.761 -0.153 1901 10 20.771 1.742 0 0 20.771 1.742 19.605 1.913 1901 11 13.538 1.460 0 0 13.538 1.460 11.573 0.832 1901 12 7.215 -0.136 0 0 7.215 -0.136 4.670 -1.344 1902 1 5.394 0.126 0 0 5.394 0.126 3.121 -0.809 1902 2 NaN NaN NaN NaN NaN NaN 3.770 -3.063 1902 3 13.415 0.775 0 0 13.415 0.775 11.415 0.112 1902 4 18.428 0.102 0 0 18.428 0.102 17.732 0.744 1902 5 22.784 0.121 0 0 22.784 0.121 21.877 0.551 1902 6 28.350 1.129 0 0 28.350 1.129 26.626 0.742 1902 7 28.702 -1.168 0 0 28.702 -1.168 26.902 -1.631 1902 8 31.689 2.303 0 0 31.689 2.303 29.493 1.445 1902 9 NaN NaN NaN NaN NaN NaN 20.862 -3.053 1902 10 NaN NaN NaN NaN NaN NaN 17.608 -0.084 1902 11 NaN NaN NaN NaN NaN NaN 12.704 1.963 1902 12 NaN NaN NaN NaN NaN NaN 3.984 -2.029 1903 1 NaN NaN NaN NaN NaN NaN 4.290 0.361 1903 2 NaN NaN NaN NaN NaN NaN 3.247 -3.586 1903 3 NaN NaN NaN NaN NaN NaN 10.333 -0.970 1903 4 NaN NaN NaN NaN NaN NaN 16.807 -0.181 1903 5 NaN NaN NaN NaN NaN NaN 19.324 -2.002 1903 6 NaN NaN NaN NaN NaN NaN 22.049 -3.835 1903 7 NaN NaN NaN NaN NaN NaN 27.233 -1.299 1903 8 NaN NaN NaN NaN NaN NaN 27.367 -0.681