% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31272 % Primary Name: CLEO % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.41670 +/- 0.00005 % Longitude: -98.45000 +/- 0.00005 % Elevation (m): 365.76 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 341882 % % IDs: coop - 341882 % ghcnd - USC00341882 % ncdc - 12004110 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 018fd461372a0f37972d3c70ddc5540a % Raw Data Hash: ac5b8c6bb970677f8c400a1c62aac7f8 % Adj Data Hash: 55b18c805c1a1aa4710b7487aafbc465 % % 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 1901 8 NaN NaN NaN NaN NaN NaN 27.874 0.215 1901 9 NaN NaN NaN NaN NaN NaN 22.925 -0.181 1901 10 NaN NaN NaN NaN NaN NaN 18.680 1.927 1901 11 NaN NaN NaN NaN NaN NaN 9.920 0.789 1901 12 NaN NaN NaN NaN NaN NaN 2.186 -1.676 1902 1 NaN NaN NaN NaN NaN NaN 1.397 -0.225 1902 2 NaN NaN NaN NaN NaN NaN 1.207 -3.433 1902 3 NaN NaN NaN NaN NaN NaN 9.681 0.361 1902 4 NaN NaN NaN NaN NaN NaN 16.003 0.451 1902 5 NaN NaN NaN NaN NaN NaN 21.133 0.710 1902 6 NaN NaN NaN NaN NaN NaN 24.804 -0.698 1902 7 NaN NaN NaN NaN NaN NaN 26.796 -1.582 1902 8 27.177 -0.710 0 0 27.177 -0.710 28.829 1.169 1902 9 17.885 -5.448 0 0 17.885 -5.448 19.671 -3.435 1902 10 17.324 0.344 0 0 17.324 0.344 17.289 0.536 1902 11 10.613 1.255 0 0 10.613 1.255 11.068 1.938 1902 12 1.823 -2.266 1 0 NaN NaN 1.845 -2.017 1903 1 4.466 2.618 0 0 4.466 2.618 2.502 0.880 1903 2 1.482 -3.385 0 0 1.482 -3.385 0.773 -3.868 1903 3 9.329 -0.218 0 0 9.329 -0.218 8.214 -1.105 1903 4 15.197 -0.582 0 0 15.197 -0.582 15.306 -0.246 1903 5 17.848 -2.802 0 0 17.848 -2.802 17.965 -2.458 1903 6 20.727 -5.002 0 0 20.727 -5.002 21.301 -4.201 1903 7 27.718 -0.887 0 0 27.718 -0.887 27.542 -0.835 1903 8 NaN NaN NaN NaN NaN NaN 26.562 -1.098 1903 9 19.862 -3.471 1 0 NaN NaN 21.623 -1.483 1903 10 NaN NaN NaN NaN NaN NaN 16.358 -0.395 1903 11 NaN NaN NaN NaN NaN NaN 7.569 -1.562 1903 12 NaN NaN NaN NaN NaN NaN 4.059 0.197 1904 1 1.485 -0.363 1 0 NaN NaN 1.360 -0.261 1904 2 6.621 1.754 0 0 6.621 1.754 5.733 1.093 1904 3 14.235 4.688 0 0 14.235 4.688 12.343 3.023 1904 4 15.155 -0.624 1 0 NaN NaN 14.230 -1.322 1904 5 20.636 -0.014 0 0 20.636 -0.014 18.978 -1.445 1904 6 NaN NaN NaN NaN NaN NaN 23.768 -1.734 1904 7 NaN NaN NaN NaN NaN NaN 26.559 -1.818 1904 8 NaN NaN NaN NaN NaN NaN 25.808 -1.852 1904 9 24.468 1.135 1 0 NaN NaN 23.575 0.468 1904 10 17.040 0.060 0 0 17.040 0.060 17.474 0.721 1904 11 9.048 -0.309 1 0 NaN NaN 10.276 1.146 1904 12 3.268 -0.822 0 0 3.268 -0.822 2.945 -0.917 1905 1 -0.546 -2.395 1 0 NaN NaN -3.446 -5.068 1905 2 -2.065 -6.932 1 0 NaN NaN -3.489 -8.129 1905 3 NaN NaN NaN NaN NaN NaN 12.293 2.973 1905 4 12.948 -2.831 1 0 NaN NaN 14.480 -1.072 1905 5 NaN NaN NaN NaN NaN NaN 19.962 -0.461 1905 6 NaN NaN NaN NaN NaN NaN 25.913 0.411 1905 7 25.850 -2.755 1 0 NaN NaN 25.460 -2.918 1905 8 NaN NaN NaN NaN NaN NaN 26.906 -0.754 1905 9 NaN NaN NaN NaN NaN NaN 23.976 0.870 1905 10 NaN NaN NaN NaN NaN NaN 15.252 -1.501 1905 11 NaN NaN NaN NaN NaN NaN 10.179 1.049 1905 12 NaN NaN NaN NaN NaN NaN 2.750 -1.112 1906 1 NaN NaN NaN NaN NaN NaN 3.790 2.168 1906 2 NaN NaN NaN NaN NaN NaN 4.395 -0.245 1906 3 NaN NaN NaN NaN NaN NaN 3.932 -5.388 1906 4 NaN NaN NaN NaN NaN NaN 16.855 1.303 1906 5 NaN NaN NaN NaN NaN NaN 20.034 -0.389 1906 6 NaN NaN NaN NaN NaN NaN 24.152 -1.350 1906 7 NaN NaN NaN NaN NaN NaN 24.778 -3.599