% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30834 % Primary Name: WINNVIEW % Record Type: TAVG % Country: United States % State: OK % Latitude: 35.96670 +/- 0.00005 % Longitude: -98.28330 +/- 0.00005 % Elevation (m): 372.56 +/- 13.70 % # of Months: 80 % % Alternate Names: Missing Station ID - 349700 % % IDs: coop - 349700 % ghcnd - USC00349700 % ncdc - 12004287 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 387d585e13d074721f00d7d1ded47efa % Raw Data Hash: 018138b96298ff73914aaa9af5b5c452 % Adj Data Hash: 2883fa8499d40838bd55afb9de63ea08 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -0.686 -2.307 1892 2 NaN NaN NaN NaN NaN NaN 5.777 1.136 1892 3 NaN NaN NaN NaN NaN NaN 5.983 -3.336 1892 4 NaN NaN NaN NaN NaN NaN 14.827 -0.725 1892 5 NaN NaN NaN NaN NaN NaN 18.244 -2.179 1892 6 NaN NaN NaN NaN NaN NaN 24.702 -0.800 1892 7 NaN NaN NaN NaN NaN NaN 26.868 -1.510 1892 8 NaN NaN NaN NaN NaN NaN 26.001 -1.659 1892 9 NaN NaN NaN NaN NaN NaN 22.475 -0.631 1892 10 NaN NaN NaN NaN NaN NaN 16.680 -0.072 1892 11 NaN NaN NaN NaN NaN NaN 8.099 -1.032 1892 12 NaN NaN NaN NaN NaN NaN 0.942 -2.920 1893 1 3.871 1.613 0 0 3.871 1.613 1.367 -0.255 1893 2 3.932 -1.345 0 0 3.932 -1.345 1.890 -2.750 1893 3 10.778 0.822 0 0 10.778 0.822 8.645 -0.675 1893 4 17.833 1.645 0 0 17.833 1.645 16.347 0.795 1893 5 20.054 -1.006 0 0 20.054 -1.006 18.484 -1.939 1893 6 26.574 0.436 0 0 26.574 0.436 25.399 -0.103 1893 7 29.194 0.179 0 0 29.194 0.179 28.376 -0.001 1893 8 24.713 -3.583 0 0 24.713 -3.583 24.844 -2.816 1893 9 24.372 0.630 0 0 24.372 0.630 23.521 0.415 1893 10 18.081 0.692 1 0 NaN NaN 16.617 -0.136 1893 11 6.520 -3.246 1 0 NaN NaN 7.063 -2.068 1893 12 6.989 2.490 0 0 6.989 2.490 5.875 2.013 1894 1 2.743 0.485 1 0 NaN NaN 1.299 -0.323 1894 2 NaN NaN NaN NaN NaN NaN 0.280 -4.361 1894 3 11.333 1.377 0 0 11.333 1.377 10.228 0.908 1894 4 18.833 2.645 0 0 18.833 2.645 16.991 1.439 1894 5 21.368 0.308 0 0 21.368 0.308 20.109 -0.314 1894 6 26.492 0.353 0 0 26.492 0.353 25.658 0.156 1894 7 28.704 -0.311 0 0 28.704 -0.311 27.415 -0.962 1894 8 27.797 -0.500 0 0 27.797 -0.500 26.750 -0.910 1894 9 23.608 -0.135 0 0 23.608 -0.135 23.090 -0.016 1894 10 17.776 0.386 1 0 NaN NaN 17.382 0.630 1894 11 10.245 0.478 1 0 NaN NaN 8.771 -0.359 1894 12 4.857 0.358 0 0 4.857 0.358 4.455 0.592 1895 1 -0.402 -2.660 0 0 -0.402 -2.660 -0.900 -2.521 1895 2 -2.314 -7.591 0 0 -2.314 -7.591 -1.765 -6.405 1895 3 11.463 1.507 0 0 11.463 1.507 8.904 -0.416 1895 4 17.044 0.856 0 0 17.044 0.856 17.461 1.909 1895 5 21.456 0.397 0 0 21.456 0.397 20.898 0.475 1895 6 25.047 -1.092 0 0 25.047 -1.092 25.205 -0.297 1895 7 26.398 -2.616 0 0 26.398 -2.616 26.176 -2.202 1895 8 27.222 -1.074 0 0 27.222 -1.074 26.669 -0.991 1895 9 25.507 1.764 0 0 25.507 1.764 24.650 1.544 1895 10 12.782 -4.607 0 0 12.782 -4.607 13.427 -3.326 1895 11 6.464 -3.303 1 0 NaN NaN 6.918 -2.212 1895 12 1.400 -3.098 1 0 NaN NaN 2.890 -0.973 1896 1 4.230 1.972 0 0 4.230 1.972 3.002 1.381 1896 2 NaN NaN NaN NaN NaN NaN 5.420 0.780 1896 3 7.602 -2.355 0 0 7.602 -2.355 6.629 -2.690 1896 4 NaN NaN NaN NaN NaN NaN 18.527 2.975 1896 5 24.560 3.501 0 0 24.560 3.501 23.167 2.744 1896 6 26.302 0.163 0 0 26.302 0.163 25.347 -0.155 1896 7 27.461 -1.553 0 0 27.461 -1.553 27.453 -0.925 1896 8 29.258 0.962 0 0 29.258 0.962 28.572 0.912 1896 9 21.968 -1.774 0 0 21.968 -1.774 21.976 -1.130 1896 10 14.039 -3.351 0 0 14.039 -3.351 15.105 -1.648 1896 11 7.600 -2.167 0 0 7.600 -2.167 7.214 -1.917 1896 12 6.753 2.255 0 0 6.753 2.255 6.156 2.293 1897 1 -0.890 -3.148 0 0 -0.890 -3.148 -0.103 -1.725 1897 2 4.356 -0.921 0 0 4.356 -0.921 4.374 -0.266 1897 3 10.148 0.192 0 0 10.148 0.192 9.124 -0.196 1897 4 14.791 -1.397 0 0 14.791 -1.397 14.766 -0.786 1897 5 19.073 -1.987 0 0 19.073 -1.987 18.726 -1.697 1897 6 24.730 -1.408 0 0 24.730 -1.408 24.976 -0.526 1897 7 28.503 -0.511 0 0 28.503 -0.511 28.073 -0.304 1897 8 27.185 -1.111 0 0 27.185 -1.111 26.192 -1.468 1897 9 25.777 2.035 1 0 NaN NaN 23.731 0.625 1897 10 17.600 0.211 1 0 NaN NaN 18.620 1.868 1897 11 7.780 -1.987 1 0 NaN NaN 8.594 -0.536 1897 12 0.881 -3.618 0 0 0.881 -3.618 1.326 -2.536 1898 1 3.421 1.164 0 0 3.421 1.164 2.751 1.129 1898 2 5.688 0.411 1 0 NaN NaN 5.736 1.096 1898 3 7.815 -2.141 1 0 NaN NaN 8.076 -1.243 1898 4 13.452 -2.736 1 0 NaN NaN 14.126 -1.426 1898 5 20.446 -0.614 0 0 20.446 -0.614 19.705 -0.718 1898 6 25.089 -1.049 0 0 25.089 -1.049 25.365 -0.137 1898 7 26.619 -2.396 0 0 26.619 -2.396 26.561 -1.817 1898 8 26.896 -1.400 1 0 NaN NaN 25.976 -1.684 1898 9 NaN NaN NaN NaN NaN NaN 22.902 -0.204 1898 10 15.850 -1.539 0 0 15.850 -1.539 15.383 -1.369 1898 11 2.979 -6.788 1 0 NaN NaN 6.794 -2.336 1898 12 0.750 -3.749 0 0 0.750 -3.749 0.691 -3.172 1899 1 1.675 -0.583 0 0 1.675 -0.583 0.619 -1.002 1899 2 -2.889 -8.166 0 0 -2.889 -8.166 -3.183 -7.823 1899 3 7.816 -2.141 0 0 7.816 -2.141 6.571 -2.749 1899 4 15.834 -0.354 0 0 15.834 -0.354 14.786 -0.766 1899 5 21.136 0.077 0 0 21.136 0.077 21.167 0.744 1899 6 NaN NaN NaN NaN NaN NaN 24.431 -1.070 1899 7 26.792 -2.222 0 0 26.792 -2.222 26.354 -2.024 1899 8 29.939 1.642 0 0 29.939 1.642 29.333 1.673 1899 9 26.701 2.959 1 0 NaN NaN 22.534 -0.572 1899 10 22.222 4.833 1 0 NaN NaN 19.070 2.317 1899 11 11.100 1.334 1 0 NaN NaN 10.940 1.809 1899 12 1.883 -2.615 1 0 NaN NaN 2.613 -1.249 1900 1 4.604 2.346 0 0 4.604 2.346 3.962 2.340 1900 2 NaN NaN NaN NaN NaN NaN 1.689 -2.951 1900 3 NaN NaN NaN NaN NaN NaN 8.455 -0.864 1900 4 NaN NaN NaN NaN NaN NaN 15.806 0.254 1900 5 NaN NaN NaN NaN NaN NaN 19.669 -0.754 1900 6 NaN NaN NaN NaN NaN NaN 25.461 -0.041 1900 7 NaN NaN NaN NaN NaN NaN 26.658 -1.720 1900 8 NaN NaN NaN NaN NaN NaN 27.939 0.279 1900 9 NaN NaN NaN NaN NaN NaN 23.482 0.376 1900 10 NaN NaN NaN NaN NaN NaN 18.186 1.433 1900 11 NaN NaN NaN NaN NaN NaN 8.853 -0.277 1900 12 NaN NaN NaN NaN NaN NaN 4.750 0.888 1901 1 NaN NaN NaN NaN NaN NaN 2.968 1.347