% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31487 % Primary Name: DACOMA 2 NE % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.68330 +/- 0.00005 % Longitude: -98.55000 +/- 0.00005 % Elevation (m): 451.10 +/- 0.05 % # of Months: 149 % % Alternate Names: DACOMA % DACOMA 1 SSW % % IDs: coop - 342341 % ghcnd - USC00342341 % ncdc - 20015023 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7aa7378f0b9cf23be9df39e49fb26cf3 % Raw Data Hash: faca2480fd9227bfda22bfe57411bdbd % Adj Data Hash: 505c81058da7f373a79ee13b9cdd26b7 % % 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 1897 2 NaN NaN NaN NaN NaN NaN 3.423 -0.614 1897 3 NaN NaN NaN NaN NaN NaN 7.916 -0.468 1897 4 NaN NaN NaN NaN NaN NaN 13.784 -0.846 1897 5 NaN NaN NaN NaN NaN NaN 18.437 -1.214 1897 6 NaN NaN NaN NaN NaN NaN 24.750 -0.280 1897 7 NaN NaN NaN NaN NaN NaN 27.421 -0.404 1897 8 NaN NaN NaN NaN NaN NaN 25.613 -1.388 1897 9 NaN NaN NaN NaN NaN NaN 22.726 0.444 1897 10 NaN NaN NaN NaN NaN NaN 17.203 1.347 1897 11 NaN NaN NaN NaN NaN NaN 7.793 -0.298 1897 12 NaN NaN NaN NaN NaN NaN 0.825 -2.337 1898 1 NaN NaN NaN NaN NaN NaN 1.625 0.519 1898 2 4.429 0.192 0 0 4.429 0.192 5.136 1.099 1898 3 7.984 -0.600 0 0 7.984 -0.600 7.027 -1.357 1898 4 14.165 -0.664 0 0 14.165 -0.664 13.805 -0.825 1898 5 19.803 -0.047 0 0 19.803 -0.047 18.778 -0.873 1898 6 25.382 0.152 0 0 25.382 0.152 24.632 -0.397 1898 7 26.260 -1.765 0 0 26.260 -1.765 26.072 -1.753 1898 8 25.647 -1.554 0 0 25.647 -1.554 25.715 -1.286 1898 9 22.323 -0.159 0 0 22.323 -0.159 21.554 -0.728 1898 10 14.402 -1.654 0 0 14.402 -1.654 14.368 -1.488 1898 11 5.520 -2.770 0 0 5.520 -2.770 5.421 -2.670 1898 12 -0.577 -3.939 0 0 -0.577 -3.939 -0.358 -3.520 1899 1 0.245 -1.060 0 0 0.245 -1.060 -0.037 -1.143 1899 2 -4.043 -8.280 0 0 -4.043 -8.280 -3.777 -7.815 1899 3 6.235 -2.348 0 0 6.235 -2.348 5.912 -2.472 1899 4 14.495 -0.334 0 0 14.495 -0.334 14.355 -0.274 1899 5 21.034 1.184 0 0 21.034 1.184 20.392 0.742 1899 6 24.332 -0.898 0 0 24.332 -0.898 24.223 -0.806 1899 7 26.184 -1.841 0 0 26.184 -1.841 25.922 -1.904 1899 8 29.342 2.141 0 0 29.342 2.141 28.897 1.895 1899 9 21.983 -0.499 0 0 21.983 -0.499 21.720 -0.563 1899 10 18.472 2.416 1 0 NaN NaN 17.280 1.424 1899 11 10.270 1.980 0 0 10.270 1.980 9.884 1.793 1899 12 2.655 -0.707 0 0 2.655 -0.707 2.287 -0.876 1900 1 4.053 2.748 0 0 4.053 2.748 3.488 2.381 1900 2 0.246 -3.990 0 0 0.246 -3.990 1.165 -2.873 1900 3 8.698 0.115 0 0 8.698 0.115 7.741 -0.643 1900 4 15.302 0.472 0 0 15.302 0.472 14.358 -0.272 1900 5 19.648 -0.202 0 0 19.648 -0.202 19.001 -0.650 1900 6 25.413 0.184 0 0 25.413 0.184 25.192 0.163 1900 7 25.934 -2.091 0 0 25.934 -2.091 26.316 -1.509 1900 8 27.584 0.383 0 0 27.584 0.383 27.445 0.443 1900 9 22.553 0.071 0 0 22.553 0.071 22.498 0.216 1900 10 16.989 0.933 0 0 16.989 0.933 17.221 1.364 1900 11 8.215 -0.075 0 0 8.215 -0.075 7.894 -0.197 1900 12 3.492 0.130 0 0 3.492 0.130 3.711 0.549 1901 1 2.763 1.457 0 0 2.763 1.457 2.328 1.221 1901 2 1.683 -2.554 1 0 NaN NaN 1.356 -2.682 1901 3 8.013 -0.571 0 0 8.013 -0.571 8.017 -0.367 1901 4 12.717 -2.113 0 0 12.717 -2.113 13.428 -1.202 1901 5 18.092 -1.758 0 0 18.092 -1.758 18.360 -1.291 1901 6 25.612 0.382 0 0 25.612 0.382 26.102 1.072 1901 7 28.744 0.719 0 0 28.744 0.719 29.375 1.550 1901 8 26.402 -0.799 0 0 26.402 -0.799 27.173 0.172 1901 9 21.902 -0.580 0 0 21.902 -0.580 22.233 -0.050 1901 10 17.345 1.289 0 0 17.345 1.289 17.366 1.509 1901 11 9.210 0.920 0 0 9.210 0.920 9.097 1.006 1901 12 2.681 -0.681 0 0 2.681 -0.681 2.656 -0.506 1902 1 1.705 0.399 0 0 1.705 0.399 1.380 0.274 1902 2 0.877 -3.360 0 0 0.877 -3.360 1.625 -2.412 1902 3 10.500 1.916 0 0 10.500 1.916 8.915 0.531 1902 4 15.320 0.491 0 0 15.320 0.491 15.157 0.527 1902 5 21.231 1.380 0 0 21.231 1.380 20.636 0.985 1902 6 23.918 -1.311 0 0 23.918 -1.311 24.257 -0.772 1902 7 25.713 -2.312 0 0 25.713 -2.312 26.198 -1.627 1902 8 28.229 1.028 0 0 28.229 1.028 28.336 1.335 1902 9 20.330 -2.152 0 0 20.330 -2.152 19.714 -2.569 1902 10 17.274 1.218 0 0 17.274 1.218 16.715 0.859 1902 11 10.275 1.985 0 0 10.275 1.985 9.163 1.072 1902 12 0.923 -2.439 0 0 0.923 -2.439 1.165 -1.997 1903 1 3.066 1.760 0 0 3.066 1.760 1.916 0.810 1903 2 0.059 -4.178 0 0 0.059 -4.178 -0.441 -4.479 1903 3 7.884 -0.700 0 0 7.884 -0.700 6.908 -1.476 1903 4 14.571 -0.259 0 0 14.571 -0.259 14.366 -0.263 1903 5 18.046 -1.804 0 0 18.046 -1.804 17.305 -2.346 1903 6 20.557 -4.673 0 0 20.557 -4.673 20.694 -4.335 1903 7 27.463 -0.562 0 0 27.463 -0.562 27.465 -0.361 1903 8 25.819 -1.382 0 0 25.819 -1.382 26.425 -0.576 1903 9 21.666 -0.816 0 0 21.666 -0.816 21.040 -1.242 1903 10 16.231 0.175 0 0 16.231 0.175 15.514 -0.343 1903 11 7.265 -1.026 0 0 7.265 -1.026 7.104 -0.987 1903 12 4.150 0.788 0 0 4.150 0.788 3.741 0.579 1904 1 1.476 0.170 0 0 1.476 0.170 0.564 -0.542 1904 2 5.303 1.067 0 0 5.303 1.067 5.207 1.170 1904 3 12.085 3.502 0 0 12.085 3.502 11.367 2.983 1904 4 13.613 -1.216 0 0 13.613 -1.216 13.944 -0.686 1904 5 19.392 -0.458 0 0 19.392 -0.458 18.955 -0.696 1904 6 23.252 -1.978 0 0 23.252 -1.978 23.139 -1.891 1904 7 25.955 -2.070 0 0 25.955 -2.070 26.163 -1.662 1904 8 25.111 -2.090 0 0 25.111 -2.090 25.523 -1.478 1904 9 23.470 0.988 0 0 23.470 0.988 23.112 0.830 1904 10 16.850 0.794 0 0 16.850 0.794 16.776 0.919 1904 11 10.372 2.081 1 0 NaN NaN 9.502 1.412 1904 12 NaN NaN NaN NaN NaN NaN 2.168 -0.994 1905 1 -2.874 -4.180 0 0 -2.874 -4.180 -3.058 -4.164 1905 2 -3.263 -7.499 0 0 -3.263 -7.499 -3.765 -7.803 1905 3 12.713 4.130 0 0 12.713 4.130 11.155 2.771 1905 4 14.100 -0.729 0 0 14.100 -0.729 13.024 -1.605 1905 5 NaN NaN NaN NaN NaN NaN 18.952 -0.699 1905 6 26.115 0.886 0 0 26.115 0.886 25.653 0.623 1905 7 25.385 -2.639 0 0 25.385 -2.639 25.191 -2.634 1905 8 26.837 -0.364 0 0 26.837 -0.364 26.806 -0.195 1905 9 24.297 1.815 0 0 24.297 1.815 23.312 1.030 1905 10 14.289 -1.767 0 0 14.289 -1.767 14.314 -1.543 1905 11 9.320 1.029 0 0 9.320 1.029 9.032 0.941 1905 12 2.573 -0.788 0 0 2.573 -0.788 2.395 -0.767 1906 1 4.400 3.094 0 0 4.400 3.094 3.825 2.719 1906 2 4.406 0.169 0 0 4.406 0.169 4.373 0.336 1906 3 3.819 -4.764 0 0 3.819 -4.764 3.532 -4.852 1906 4 16.780 1.951 0 0 16.780 1.951 15.844 1.214 1906 5 20.068 0.217 0 0 20.068 0.217 19.378 -0.273 1906 6 23.485 -1.744 0 0 23.485 -1.744 23.399 -1.631 1906 7 24.261 -3.764 0 0 24.261 -3.764 24.114 -3.711 1906 8 24.990 -2.211 0 0 24.990 -2.211 24.966 -2.035 1906 9 22.477 -0.005 0 0 22.477 -0.005 21.977 -0.306 1906 10 13.861 -2.195 0 0 13.861 -2.195 13.574 -2.282 1906 11 6.678 -1.612 0 0 6.678 -1.612 6.203 -1.887 1906 12 5.519 2.158 0 0 5.519 2.158 5.852 2.690 1907 1 3.240 1.934 0 0 3.240 1.934 3.543 2.437 1907 2 5.218 0.981 0 0 5.218 0.981 5.703 1.665 1907 3 13.769 5.186 0 0 13.769 5.186 13.466 5.082 1907 4 11.402 -3.428 0 0 11.402 -3.428 12.011 -2.619 1907 5 15.666 -4.184 0 0 15.666 -4.184 15.414 -4.237 1907 6 22.890 -2.339 0 0 22.890 -2.339 23.212 -1.817 1907 7 26.429 -1.596 0 0 26.429 -1.596 26.429 -1.397 1907 8 26.989 -0.212 0 0 26.989 -0.212 26.746 -0.255 1907 9 22.817 0.335 0 0 22.817 0.335 22.512 0.229 1907 10 15.727 -0.328 0 0 15.727 -0.328 15.524 -0.332 1907 11 7.930 -0.360 0 0 7.930 -0.360 7.417 -0.674 1907 12 4.616 1.254 0 0 4.616 1.254 4.617 1.455 1908 1 4.885 3.580 0 0 4.885 3.580 3.641 2.535 1908 2 5.764 1.527 0 0 5.764 1.527 5.347 1.310 1908 3 11.790 3.207 0 0 11.790 3.207 10.789 2.405 1908 4 14.452 -0.378 0 0 14.452 -0.378 14.665 0.035 1908 5 19.279 -0.571 0 0 19.279 -0.571 18.713 -0.938 1908 6 23.274 -1.955 0 0 23.274 -1.955 23.685 -1.344 1908 7 24.895 -3.130 0 0 24.895 -3.130 25.077 -2.749 1908 8 26.255 -0.946 0 0 26.255 -0.946 25.959 -1.042 1908 9 21.717 -0.765 0 0 21.717 -0.765 21.494 -0.789 1908 10 14.735 -1.320 0 0 14.735 -1.320 14.652 -1.205 1908 11 9.032 0.741 0 0 9.032 0.741 7.954 -0.137 1908 12 5.045 1.683 0 0 5.045 1.683 4.694 1.532 1909 1 1.310 0.004 0 0 1.310 0.004 1.891 0.785 1909 2 6.371 2.135 0 0 6.371 2.135 5.731 1.694 1909 3 8.708 0.125 0 0 8.708 0.125 7.555 -0.829 1909 4 14.590 -0.239 0 0 14.590 -0.239 14.353 -0.276 1909 5 18.944 -0.907 0 0 18.944 -0.907 18.271 -1.379 1909 6 24.475 -0.754 0 0 24.475 -0.754 24.678 -0.351 1909 7 27.884 -0.141 0 0 27.884 -0.141 28.266 0.441 1909 8 27.282 0.081 0 0 27.282 0.081 28.186 1.185 1909 9 21.998 -0.484 0 0 21.998 -0.484 22.591 0.308 1909 10 15.132 -0.924 0 0 15.132 -0.924 15.598 -0.258 1909 11 11.703 3.413 0 0 11.703 3.413 10.534 2.443 1909 12 NaN NaN NaN NaN NaN NaN -0.817 -3.980 1910 1 3.226 1.920 0 0 3.226 1.920 2.821 1.715 1910 2 0.879 -3.358 0 0 0.879 -3.358 1.488 -2.550 1910 3 15.303 6.720 0 0 15.303 6.720 14.048 5.664 1910 4 16.260 1.431 0 0 16.260 1.431 15.901 1.271 1910 5 18.356 -1.494 0 0 18.356 -1.494 17.272 -2.379 1910 6 NaN NaN NaN NaN NaN NaN 24.577 -0.453 1910 7 27.035 -0.989 0 0 27.035 -0.989 28.227 0.402 1910 8 24.306 -2.895 0 0 24.306 -2.895 26.069 -0.932 1910 9 NaN NaN NaN NaN NaN NaN 24.109 1.826 1910 10 16.279 0.223 0 0 16.279 0.223 16.829 0.973 1910 11 9.658 1.368 0 0 9.658 1.368 9.061 0.971 1910 12 NaN NaN NaN NaN NaN NaN 3.216 0.054 1911 1 NaN NaN NaN NaN NaN NaN 4.155 3.048 1911 2 NaN NaN NaN NaN NaN NaN 4.637 0.599 1911 3 NaN NaN NaN NaN NaN NaN 10.700 2.316 1911 4 NaN NaN NaN NaN NaN NaN 14.923 0.293 1911 5 NaN NaN NaN NaN NaN NaN 20.168 0.517 1911 6 NaN NaN NaN NaN NaN NaN 27.769 2.739 1911 7 NaN NaN NaN NaN NaN NaN 26.531 -1.294 1911 8 NaN NaN NaN NaN NaN NaN 25.415 -1.587 1911 9 NaN NaN NaN NaN NaN NaN 25.612 3.329 1911 10 NaN NaN NaN NaN NaN NaN 15.621 -0.236 1911 11 NaN NaN NaN NaN NaN NaN 5.863 -2.228