% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34925 % Primary Name: LEBANON % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.81667 +/- 0.00833 % Longitude: -98.56538 +/- 0.00962 % Elevation (m): 559.95 +/- 11.40 % # of Months: 173 % % IDs: coop - 144598 % ghcnd - USC00144598 % ncdc - 20007956 % nws - LBNK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9392294679367d6a8ae876b49c203fe5 % Raw Data Hash: bbfb480b3ddbc2653567e35c876ae5b9 % Adj Data Hash: d8a965bea8e22d4c7a80834b130d0702 % % 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 3 NaN NaN NaN NaN NaN NaN 3.684 -1.156 1897 4 NaN NaN NaN NaN NaN NaN 11.560 -0.406 1897 5 NaN NaN NaN NaN NaN NaN 17.125 -0.689 1897 6 NaN NaN NaN NaN NaN NaN 23.960 0.501 1897 7 NaN NaN NaN NaN NaN NaN 26.832 0.283 1897 8 NaN NaN NaN NaN NaN NaN 24.008 -1.555 1897 9 NaN NaN NaN NaN NaN NaN 23.078 2.877 1897 10 NaN NaN NaN NaN NaN NaN 15.869 2.166 1897 11 NaN NaN NaN NaN NaN NaN 4.244 -0.999 1897 12 NaN NaN NaN NaN NaN NaN -3.007 -2.323 1898 1 NaN NaN NaN NaN NaN NaN -2.135 1.580 1898 2 NaN NaN NaN NaN NaN NaN 1.183 1.342 1898 3 11.000 6.466 1 0 NaN NaN 4.371 -0.470 1898 4 10.667 -0.993 0 0 10.949 -0.711 11.199 -0.768 1898 5 12.020 -5.487 1 0 NaN NaN 16.488 -1.326 1898 6 NaN NaN NaN NaN NaN NaN 23.756 0.297 1898 7 NaN NaN NaN NaN NaN NaN 25.558 -0.991 1898 8 27.431 2.175 1 0 NaN NaN 25.933 0.370 1898 9 19.643 -0.251 0 0 19.958 0.064 20.270 0.069 1898 10 10.185 -3.211 0 0 10.409 -2.987 11.523 -2.180 1898 11 1.585 -3.351 0 0 1.973 -2.963 2.128 -3.115 1898 12 -3.214 -2.224 0 0 -2.763 -1.773 -3.422 -2.739 1899 1 -3.407 0.615 0 0 -3.159 0.863 -3.300 0.415 1899 2 -10.476 -10.011 0 0 -10.336 -9.870 -8.604 -8.446 1899 3 0.039 -4.495 1 0 NaN NaN 0.069 -4.772 1899 4 9.735 -1.924 0 0 10.018 -1.642 11.524 -0.443 1899 5 18.375 0.868 0 0 18.429 0.922 18.728 0.914 1899 6 23.590 0.437 0 0 23.599 0.447 23.094 -0.365 1899 7 24.031 -2.211 0 0 24.324 -1.917 24.479 -2.069 1899 8 26.269 1.013 0 0 26.734 1.478 26.660 1.097 1899 9 18.826 -1.068 0 0 19.141 -0.753 19.775 -0.426 1899 10 16.604 3.208 0 0 16.829 3.432 16.525 2.821 1899 11 6.864 1.928 0 0 7.252 2.316 8.176 2.933 1899 12 NaN NaN NaN NaN NaN NaN -1.381 -0.698 1900 1 -0.915 3.108 0 0 -0.667 3.356 -0.309 3.406 1900 2 -4.341 -3.876 0 0 -4.201 -3.736 -3.907 -3.749 1900 3 4.056 -0.477 0 0 4.330 -0.204 3.643 -1.198 1900 4 12.415 0.755 0 0 12.698 1.038 12.911 0.944 1900 5 17.726 0.219 0 0 17.780 0.273 18.183 0.369 1900 6 NaN NaN NaN NaN NaN NaN 23.928 0.469 1900 7 NaN NaN NaN NaN NaN NaN 26.112 -0.437 1900 8 28.511 3.255 1 0 NaN NaN 27.469 1.906 1900 9 20.989 1.095 0 0 21.304 1.410 20.716 0.515 1900 10 15.746 2.350 0 0 15.971 2.574 16.573 2.870 1900 11 2.911 -2.026 0 0 3.299 -1.637 3.843 -1.400 1900 12 0.705 1.695 0 0 1.156 2.146 1.164 1.847 1901 1 -2.515 1.507 0 0 -2.267 1.755 -2.326 1.389 1901 2 -4.773 -4.308 0 0 -4.633 -4.167 -4.126 -3.967 1901 3 3.672 -0.862 0 0 3.945 -0.589 3.692 -1.149 1901 4 10.930 -0.730 0 0 11.212 -0.448 11.053 -0.914 1901 5 16.203 -1.305 0 0 16.257 -1.250 16.547 -1.267 1901 6 24.129 0.977 1 0 NaN NaN 24.961 1.502 1901 7 29.109 2.867 0 0 29.402 3.161 30.082 3.533 1901 8 25.135 -0.121 0 0 25.601 0.345 26.273 0.710 1901 9 20.028 0.134 0 0 20.342 0.448 19.802 -0.399 1901 10 14.198 0.802 0 0 14.422 1.026 15.465 1.762 1901 11 5.689 0.753 0 0 6.078 1.141 5.891 0.648 1901 12 -3.018 -2.028 0 0 -2.568 -1.577 -1.807 -1.123 1902 1 -2.734 1.288 0 0 -2.486 1.536 -3.128 0.587 1902 2 -5.141 -4.676 0 0 -5.001 -4.536 -4.552 -4.394 1902 3 6.148 1.614 0 0 6.422 1.888 6.447 1.607 1902 4 12.423 0.764 0 0 12.706 1.046 12.254 0.288 1902 5 19.670 2.163 0 0 19.724 2.217 19.686 1.871 1902 6 20.813 -2.339 0 0 20.823 -2.330 21.055 -2.404 1902 7 23.961 -2.281 0 0 24.255 -1.987 24.725 -1.824 1902 8 23.940 -1.316 0 0 24.405 -0.851 24.876 -0.687 1902 9 16.597 -3.297 0 0 16.912 -2.982 16.825 -3.376 1902 10 12.847 -0.550 0 0 13.071 -0.325 14.871 1.168 1902 11 5.189 0.253 0 0 5.578 0.642 6.502 1.259 1902 12 -4.947 -3.957 1 0 NaN NaN -4.107 -3.424 1903 1 -1.584 2.438 0 0 -1.336 2.686 -1.998 1.717 1903 2 -4.196 -3.731 0 0 -4.056 -3.591 -4.092 -3.933 1903 3 4.098 -0.435 0 0 4.372 -0.162 4.320 -0.521 1903 4 11.736 0.076 0 0 12.019 0.359 12.251 0.285 1903 5 15.856 -1.651 0 0 15.911 -1.596 16.198 -1.616 1903 6 18.726 -4.426 0 0 18.735 -4.417 19.520 -3.939 1903 7 24.472 -1.769 0 0 24.766 -1.476 25.408 -1.141 1903 8 22.324 -2.932 0 0 22.789 -2.467 23.546 -2.017 1903 9 17.969 -1.925 1 0 NaN NaN 18.203 -1.998 1903 10 NaN NaN NaN NaN NaN NaN 14.161 0.458 1903 11 6.398 1.462 1 0 NaN NaN 4.421 -0.822 1903 12 -0.242 0.748 1 0 NaN NaN 0.040 0.723 1904 1 -3.054 0.968 0 0 -2.806 1.216 -3.899 -0.184 1904 2 -1.819 -1.354 0 0 -1.679 -1.213 -2.020 -1.862 1904 3 NaN NaN NaN NaN NaN NaN 5.680 0.840 1904 4 9.443 -2.216 0 0 9.726 -1.934 9.515 -2.452 1904 5 15.995 -1.512 0 0 16.049 -1.458 16.396 -1.418 1904 6 20.073 -3.079 0 0 20.083 -3.070 20.957 -2.503 1904 7 23.406 -2.835 0 0 23.700 -2.542 24.011 -2.538 1904 8 22.076 -3.180 0 0 22.541 -2.715 23.321 -2.242 1904 9 20.063 0.169 0 0 20.378 0.484 20.119 -0.082 1904 10 13.633 0.237 0 0 13.857 0.461 14.858 1.154 1904 11 5.852 0.916 0 0 6.241 1.305 6.860 1.617 1904 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0.868 0 0 20.488 0.594 20.334 0.133 1906 10 12.374 -1.022 1 0 NaN NaN 12.143 -1.560 1906 11 5.194 0.258 1 0 NaN NaN 4.317 -0.927 1906 12 2.222 3.212 1 0 NaN NaN 1.250 1.933 1907 1 -4.681 -0.659 1 0 NaN NaN -4.018 -0.303 1907 2 0.342 0.808 0 0 0.220 0.686 0.084 0.242 1907 3 NaN NaN NaN NaN NaN NaN 8.833 3.992 1907 4 7.854 -3.806 0 0 7.608 -4.052 7.912 -4.055 1907 5 14.318 -3.189 0 0 14.271 -3.236 14.075 -3.739 1907 6 23.528 0.376 1 0 NaN NaN 22.255 -1.204 1907 7 26.656 0.414 0 0 26.401 0.159 26.128 -0.420 1907 8 25.395 0.139 0 0 24.991 -0.265 25.645 0.082 1907 9 18.891 -1.003 0 0 18.617 -1.277 20.067 -0.134 1907 10 13.182 -0.214 1 0 NaN NaN 13.688 -0.015 1907 11 NaN NaN NaN NaN NaN NaN 4.754 -0.489 1907 12 -0.653 0.337 0 0 -1.045 -0.055 -0.064 0.619 1908 1 1.481 5.503 0 0 1.265 5.287 0.156 3.871 1908 2 0.769 1.234 0 0 0.647 1.112 0.915 1.073 1908 3 7.272 2.738 0 0 7.035 2.501 6.796 1.956 1908 4 12.853 1.194 0 0 12.608 0.948 12.872 0.905 1908 5 16.052 -1.455 1 0 NaN NaN 16.423 -1.391 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5 17.415 -0.093 0 0 17.367 -0.140 18.452 0.638 1913 6 23.689 0.537 1 0 NaN NaN 23.742 0.282 1913 7 27.829 1.588 0 0 27.574 1.333 28.307 1.759 1913 8 29.377 4.121 0 0 28.973 3.717 29.182 3.619 1913 9 19.497 -0.397 0 0 19.223 -0.671 19.464 -0.737 1913 10 9.397 -3.999 1 0 NaN NaN 11.993 -1.711 1913 11 7.292 2.355 0 0 6.954 2.018 8.491 3.248 1913 12 -0.134 0.856 0 0 -0.525 0.465 0.950 1.633 1914 1 1.352 5.374 1 0 NaN NaN 0.928 4.643 1914 2 NaN NaN NaN NaN NaN NaN -2.795 -2.637 1914 3 3.078 -1.456 1 0 NaN NaN 4.396 -0.444 1914 4 15.607 3.947 1 0 NaN NaN 12.138 0.172 1914 5 18.826 1.319 1 0 NaN NaN 17.608 -0.206 1914 6 24.720 1.568 0 0 24.712 1.559 25.687 2.228 1914 7 25.010 -1.232 1 0 NaN NaN 27.242 0.693 1914 8 26.363 1.107 0 0 25.959 0.703 25.846 0.284 1914 9 NaN NaN NaN NaN NaN NaN 21.730 1.529 1914 10 NaN NaN NaN NaN NaN NaN 14.661 0.958 1914 11 NaN NaN NaN NaN NaN NaN 8.067 2.824 1914 12 NaN NaN NaN NaN NaN NaN -6.907 -6.224 1915 1 NaN NaN NaN NaN NaN NaN -4.454 -0.739 1915 2 NaN NaN NaN NaN NaN NaN 1.486 1.644 1915 3 NaN NaN NaN NaN NaN NaN -1.616 -6.457 1915 4 NaN NaN NaN NaN NaN NaN 14.824 2.857 1915 5 NaN NaN NaN NaN NaN NaN 15.139 -2.675 1915 6 NaN NaN NaN NaN NaN NaN 20.342 -3.118 1915 7 NaN NaN NaN NaN NaN NaN 23.109 -3.440 1915 8 NaN NaN NaN NaN NaN NaN 20.968 -4.595