% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28792 % Primary Name: KEMP % Record Type: TAVG % Country: United States % State: OK % Latitude: 33.76670 +/- 0.00005 % Longitude: -96.35000 +/- 0.00005 % Elevation (m): 189.52 +/- 19.92 % # of Months: 49 % % Alternate Names: Missing Station ID - 344745 % % IDs: coop - 344745 % ghcnd - USC00344745 % ncdc - 12004196 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e237c951ba8cd473d5df052212c92341 % Raw Data Hash: a10616772fc542610d472c7e30f4b80a % Adj Data Hash: 372029fb76ab1e4d6f46cbfa1a096588 % % 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 5 NaN NaN NaN NaN NaN NaN 21.181 -1.322 1892 6 NaN NaN NaN NaN NaN NaN 25.868 -1.072 1892 7 NaN NaN NaN NaN NaN NaN 27.904 -1.450 1892 8 NaN NaN NaN NaN NaN NaN 26.897 -2.120 1892 9 NaN NaN NaN NaN NaN NaN 23.825 -1.417 1892 10 NaN NaN NaN NaN NaN NaN 19.366 0.144 1892 11 NaN NaN NaN NaN NaN NaN 12.679 0.040 1892 12 NaN NaN NaN NaN NaN NaN 7.063 -1.183 1893 1 NaN NaN NaN NaN NaN NaN 6.036 -0.230 1893 2 NaN NaN NaN NaN NaN NaN 7.657 -1.183 1893 3 NaN NaN NaN NaN NaN NaN 12.432 -0.656 1893 4 NaN NaN NaN NaN NaN NaN 20.235 2.014 1893 5 23.097 0.642 1 0 NaN NaN 21.238 -1.266 1893 6 26.475 -0.416 0 0 26.520 -0.371 26.117 -0.824 1893 7 NaN NaN NaN NaN NaN NaN 29.521 0.167 1893 8 NaN NaN NaN NaN NaN NaN 27.247 -1.769 1893 9 NaN NaN NaN NaN NaN NaN 26.087 0.846 1893 10 18.634 -0.539 0 0 18.679 -0.494 18.588 -0.634 1893 11 10.650 -1.940 0 0 10.695 -1.895 10.575 -2.064 1893 12 10.190 1.993 0 0 10.235 2.038 10.459 2.212 1894 1 7.794 1.576 0 0 7.839 1.622 7.222 0.956 1894 2 5.527 -3.263 0 0 5.572 -3.218 5.464 -3.375 1894 3 14.173 1.134 0 0 14.218 1.179 13.912 0.824 1894 4 19.507 1.335 0 0 19.552 1.381 19.696 1.476 1894 5 22.650 0.196 0 0 22.695 0.241 22.166 -0.337 1894 6 23.813 -3.078 1 0 NaN NaN 25.897 -1.043 1894 7 NaN NaN NaN NaN NaN NaN 27.658 -1.696 1894 8 NaN NaN NaN NaN NaN NaN 26.605 -2.411 1894 9 24.517 -0.676 0 0 24.562 -0.631 24.953 -0.288 1894 10 19.334 0.161 0 0 19.379 0.206 19.973 0.751 1894 11 12.507 -0.083 0 0 12.552 -0.038 13.022 0.384 1894 12 8.460 0.262 0 0 8.505 0.307 9.117 0.871 1895 1 4.542 -1.675 0 0 4.587 -1.630 4.826 -1.440 1895 2 2.275 -6.515 0 0 2.320 -6.470 2.555 -6.284 1895 3 12.598 -0.441 0 0 12.643 -0.395 12.658 -0.430 1895 4 18.748 0.577 0 0 18.793 0.622 18.889 0.668 1895 5 21.460 -0.995 0 0 21.505 -0.950 21.229 -1.275 1895 6 NaN NaN NaN NaN NaN NaN 26.092 -0.849 1895 7 NaN NaN NaN NaN NaN NaN 27.758 -1.596 1895 8 NaN NaN NaN NaN NaN NaN 28.692 -0.325 1895 9 27.035 1.842 0 0 27.080 1.887 27.285 2.043 1895 10 15.737 -3.436 0 0 15.782 -3.391 16.704 -2.517 1895 11 10.623 -1.967 0 0 10.668 -1.921 10.848 -1.791 1895 12 6.606 -1.591 0 0 6.652 -1.546 7.797 -0.449 1896 1 6.106 -0.111 0 0 6.152 -0.066 6.537 0.270 1896 2 8.471 -0.320 0 0 8.516 -0.274 9.123 0.284 1896 3 11.400 -1.639 0 0 11.445 -1.594 11.299 -1.788 1896 4 20.405 2.234 0 0 20.450 2.279 19.877 1.657 1896 5 25.903 3.449 0 0 25.948 3.494 24.862 2.359 1896 6 28.772 1.880 0 0 28.817 1.925 28.054 1.114 1896 7 NaN NaN NaN NaN NaN NaN 29.425 0.071 1896 8 NaN NaN NaN NaN NaN NaN 30.034 1.017 1896 9 25.181 -0.012 0 0 25.226 0.033 25.364 0.122 1896 10 NaN NaN NaN NaN NaN NaN 17.830 -1.392 1896 11 NaN NaN NaN NaN NaN NaN 12.545 -0.094 1896 12 NaN NaN NaN NaN NaN NaN 9.406 1.160 1897 1 NaN NaN NaN NaN NaN NaN 4.241 -2.025 1897 2 NaN NaN NaN NaN NaN NaN 9.559 0.720 1897 3 14.444 1.405 1 0 NaN NaN 14.411 1.323 1897 4 17.455 -0.716 0 0 17.500 -0.671 17.696 -0.524 1897 5 21.340 -1.114 0 0 21.385 -1.069 21.131 -1.372 1897 6 26.297 -0.595 0 0 26.342 -0.550 26.468 -0.472 1897 7 NaN NaN NaN NaN NaN NaN 29.736 0.382 1897 8 NaN NaN NaN NaN NaN NaN 28.376 -0.641 1897 9 NaN NaN NaN NaN NaN NaN 24.956 -0.286 1897 10 20.814 1.641 0 1 20.694 1.521 20.547 1.326 1897 11 12.882 0.292 0 0 12.761 0.171 12.735 0.096 1897 12 5.380 -2.818 0 0 5.260 -2.938 6.345 -1.902 1898 1 9.071 2.854 0 0 8.950 2.733 8.042 1.776 1898 2 10.421 1.631 0 0 10.301 1.511 9.924 1.084 1898 3 12.890 -0.149 0 0 12.770 -0.269 12.662 -0.426 1898 4 NaN NaN NaN NaN NaN NaN 16.535 -1.685 1898 5 23.402 0.947 0 0 23.281 0.827 22.550 0.046 1898 6 26.503 -0.388 0 0 26.383 -0.508 26.295 -0.646 1898 7 29.224 -0.081 1 0 NaN NaN 27.825 -1.529 1898 8 28.362 -0.606 1 0 NaN NaN 27.673 -1.344 1898 9 24.772 -0.421 0 0 24.651 -0.541 25.231 -0.010 1898 10 17.629 -1.544 0 0 17.509 -1.664 17.972 -1.250 1898 11 10.302 -2.288 0 0 10.181 -2.409 10.402 -2.237 1898 12 4.430 -3.767 0 0 4.310 -3.887 4.850 -3.397 1899 1 NaN NaN NaN NaN NaN NaN 5.157 -1.109 1899 2 NaN NaN NaN NaN NaN NaN 1.600 -7.239 1899 3 NaN NaN NaN NaN NaN NaN 12.555 -0.533 1899 4 NaN NaN NaN NaN NaN NaN 17.062 -1.158 1899 5 NaN NaN NaN NaN NaN NaN 23.977 1.474 1899 6 NaN NaN NaN NaN NaN NaN 26.462 -0.479 1899 7 NaN NaN NaN NaN NaN NaN 27.942 -1.412 1899 8 NaN NaN NaN NaN NaN NaN 30.845 1.828 1899 9 NaN NaN NaN NaN NaN NaN 24.497 -0.745 1899 10 NaN NaN NaN NaN NaN NaN 20.902 1.680 1899 11 NaN NaN NaN NaN NaN NaN 13.362 0.723 1899 12 NaN NaN NaN NaN NaN NaN 7.746 -0.500