% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30456 % Primary Name: BRITTON 2 E % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.56670 +/- 0.00005 % Longitude: -97.50000 +/- 0.00005 % Elevation (m): 356.90 +/- 0.05 % # of Months: 71 % % IDs: coop - 341148 % ghcnd - USC00341148 % ncdc - 20014789 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3d08551a54702ed7c8ab142439dfa6c0 % Raw Data Hash: 63312829a8845c312d93ba9984bc53ca % Adj Data Hash: 220b4a94e805865f4c5bd64568545afc % % 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 1950 5 NaN NaN NaN NaN NaN NaN 20.157 -0.266 1950 6 NaN NaN NaN NaN NaN NaN 25.343 -0.159 1950 7 NaN NaN NaN NaN NaN NaN 24.920 -3.458 1950 8 NaN NaN NaN NaN NaN NaN 24.620 -3.040 1950 9 NaN NaN NaN NaN NaN NaN 21.366 -1.740 1950 10 NaN NaN NaN NaN NaN NaN 19.895 3.142 1950 11 NaN NaN NaN NaN NaN NaN 7.809 -1.321 1950 12 NaN NaN NaN NaN NaN NaN 3.393 -0.469 1951 1 NaN NaN NaN NaN NaN NaN 2.679 1.057 1951 2 NaN NaN NaN NaN NaN NaN 5.385 0.744 1951 3 NaN NaN NaN NaN NaN NaN 7.857 -1.463 1951 4 NaN NaN NaN NaN NaN NaN 13.992 -1.560 1951 5 21.500 0.507 0 0 21.500 0.507 19.698 -0.725 1951 6 24.444 -1.627 0 0 24.444 -1.627 24.125 -1.377 1951 7 28.111 -0.837 0 0 28.111 -0.837 28.032 -0.345 1951 8 29.056 0.826 0 0 29.056 0.826 29.299 1.640 1951 9 23.111 -0.565 0 0 23.111 -0.565 22.111 -0.995 1951 10 17.722 0.399 0 0 17.722 0.399 16.982 0.229 1951 11 6.944 -2.756 0 0 6.944 -2.756 6.042 -3.088 1951 12 5.444 1.012 0 0 5.444 1.012 4.188 0.326 1952 1 7.500 5.309 0 0 7.500 5.309 5.745 4.123 1952 2 7.889 2.679 0 0 7.889 2.679 7.125 2.485 1952 3 8.722 -1.167 0 0 8.722 -1.167 7.271 -2.048 1952 4 13.778 -2.344 0 0 13.778 -2.344 13.640 -1.912 1952 5 20.667 -0.326 0 0 20.667 -0.326 20.049 -0.374 1952 6 27.778 1.706 0 0 27.778 1.706 28.483 2.982 1952 7 27.667 -1.281 0 0 27.667 -1.281 28.368 -0.010 1952 8 29.722 1.492 0 0 29.722 1.492 29.322 1.662 1952 9 24.333 0.657 0 0 24.333 0.657 23.422 0.316 1952 10 16.000 -1.323 0 0 16.000 -1.323 15.496 -1.257 1952 11 9.556 -0.145 0 0 9.556 -0.145 8.532 -0.598 1952 12 4.167 -0.266 0 0 4.167 -0.266 3.308 -0.554 1953 1 6.000 3.809 0 0 6.000 3.809 4.866 3.245 1953 2 7.444 2.234 0 0 7.444 2.234 6.679 2.039 1953 3 13.333 3.444 0 0 13.333 3.444 11.525 2.205 1953 4 14.222 -1.900 0 0 14.222 -1.900 13.577 -1.975 1953 5 20.500 -0.493 0 0 20.500 -0.493 20.139 -0.284 1953 6 29.278 3.206 0 0 29.278 3.206 29.775 4.273 1953 7 26.833 -2.114 0 0 26.833 -2.114 26.974 -1.404 1953 8 25.944 -2.285 0 0 25.944 -2.285 26.275 -1.385 1953 9 24.944 1.268 0 0 24.944 1.268 24.464 1.358 1953 10 18.000 0.677 0 0 18.000 0.677 17.989 1.237 1953 11 10.611 0.911 0 0 10.611 0.911 9.580 0.450 1953 12 5.056 0.623 0 0 5.056 0.623 4.327 0.465 1954 1 4.333 2.142 0 0 4.333 2.142 2.156 0.535 1954 2 11.722 6.512 0 0 11.722 6.512 10.353 5.713 1954 3 9.611 -0.279 0 0 9.611 -0.279 7.970 -1.350 1954 4 19.500 3.378 0 0 19.500 3.378 19.101 3.549 1954 5 17.944 -3.049 0 0 17.944 -3.049 17.576 -2.847 1954 6 26.333 0.262 0 0 26.333 0.262 26.757 1.256 1954 7 31.389 2.441 0 0 31.389 2.441 32.394 4.016 1954 8 30.667 2.437 0 0 30.667 2.437 30.696 3.036 1954 9 26.722 3.046 0 0 26.722 3.046 26.369 3.263 1954 10 18.611 1.288 0 0 18.611 1.288 18.536 1.783 1954 11 11.500 1.800 0 0 11.500 1.800 10.945 1.814 1954 12 6.056 1.623 0 0 6.056 1.623 5.270 1.407 1955 1 4.500 2.309 0 0 4.500 2.309 3.244 1.623 1955 2 5.944 0.734 0 0 5.944 0.734 4.215 -0.425 1955 3 11.056 1.166 0 0 11.056 1.166 9.369 0.050 1955 4 18.889 2.767 0 0 18.889 2.767 18.394 2.842 1955 5 21.944 0.951 0 0 21.944 0.951 21.080 0.657 1955 6 23.611 -2.461 0 0 23.611 -2.461 23.559 -1.943 1955 7 29.056 0.108 0 0 29.056 0.108 29.481 1.104 1955 8 27.722 -0.508 0 0 27.722 -0.508 27.838 0.178 1955 9 24.722 1.046 0 0 24.722 1.046 24.589 1.483 1955 10 17.500 0.177 0 0 17.500 0.177 17.149 0.396 1955 11 9.111 -0.589 0 0 9.111 -0.589 7.681 -1.449 1955 12 4.167 -0.266 0 0 4.167 -0.266 3.349 -0.513 1956 1 3.056 0.864 0 0 3.056 0.864 1.337 -0.284 1956 2 NaN NaN NaN NaN NaN NaN 4.602 -0.038 1956 3 NaN NaN NaN NaN NaN NaN 10.046 0.727 1956 4 NaN NaN NaN NaN NaN NaN 14.508 -1.044 1956 5 NaN NaN NaN NaN NaN NaN 22.929 2.506 1956 6 26.500 0.428 0 0 26.500 0.428 26.965 1.463 1956 7 29.167 0.219 0 0 29.167 0.219 29.514 1.136 1956 8 30.556 2.326 0 0 30.556 2.326 30.427 2.767 1956 9 25.667 1.991 0 0 25.667 1.991 25.454 2.348 1956 10 19.722 2.399 0 0 19.722 2.399 19.922 3.169 1956 11 9.167 -0.534 0 0 9.167 -0.534 8.678 -0.452 1956 12 6.278 1.846 0 0 6.278 1.846 5.421 1.559 1957 1 1.333 -0.858 0 0 1.333 -0.858 -0.173 -1.794 1957 2 8.222 3.012 0 0 8.222 3.012 7.051 2.411 1957 3 9.222 -0.667 0 0 9.222 -0.667 7.976 -1.344 1957 4 14.444 -1.677 0 0 14.444 -1.677 13.965 -1.587 1957 5 19.333 -1.660 0 0 19.333 -1.660 18.953 -1.470 1957 6 NaN NaN NaN NaN NaN NaN 24.358 -1.144 1957 7 29.611 0.663 0 0 29.611 0.663 29.687 1.310 1957 8 28.000 -0.230 0 0 28.000 -0.230 28.039 0.379 1957 9 NaN NaN NaN NaN NaN NaN 20.930 -2.176 1957 10 NaN NaN NaN NaN NaN NaN 14.744 -2.009 1957 11 NaN NaN NaN NaN NaN NaN 7.747 -1.383 1957 12 NaN NaN NaN NaN NaN NaN 7.087 3.224 1958 1 NaN NaN NaN NaN NaN NaN 3.446 1.825 1958 2 NaN NaN NaN NaN NaN NaN 1.942 -2.698 1958 3 NaN NaN NaN NaN NaN NaN 4.273 -5.046 1958 4 NaN NaN NaN NaN NaN NaN 13.966 -1.586 1958 5 NaN NaN NaN NaN NaN NaN 21.142 0.719 1958 6 NaN NaN NaN NaN NaN NaN 26.093 0.591 1958 7 NaN NaN NaN NaN NaN NaN 27.706 -0.672 1958 8 NaN NaN NaN NaN NaN NaN 27.147 -0.513