% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33576 % Primary Name: GIBSON % Record Type: TAVG % Country: United States % State: KS % Latitude: 38.76670 +/- 0.00005 % Longitude: -100.15000 +/- 0.00005 % Elevation (m): 722.84 +/- 34.76 % # of Months: 90 % % Alternate Names: Missing Station ID - 143040 % % IDs: coop - 143040 % ghcnd - USC00143040 % ncdc - 12001942 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4a88be0ba2c1fb11d1168b73d3f5c2d1 % Raw Data Hash: 2910df7422aa459847a99abbd04e1dad % Adj Data Hash: 911895514e7258e39190afcbfe0813ed % % 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 1891 1 NaN NaN NaN NaN NaN NaN -2.507 0.623 1891 2 NaN NaN NaN NaN NaN NaN -3.212 -3.318 1891 3 NaN NaN NaN NaN NaN NaN -0.792 -4.927 1891 4 NaN NaN NaN NaN NaN NaN 11.963 0.953 1891 5 NaN NaN NaN NaN NaN NaN 15.824 -0.971 1891 6 NaN NaN NaN NaN NaN NaN 20.051 -2.578 1891 7 NaN NaN NaN NaN NaN NaN 22.914 -2.913 1891 8 NaN NaN NaN NaN NaN NaN 22.758 -1.974 1891 9 NaN NaN NaN NaN NaN NaN 19.484 0.089 1891 10 NaN NaN NaN NaN NaN NaN 12.019 -0.815 1891 11 NaN NaN NaN NaN NaN NaN 3.466 -0.987 1891 12 NaN NaN NaN NaN NaN NaN 0.870 1.584 1892 1 -6.722 -1.623 0 0 -4.370 0.730 -4.478 -1.348 1892 2 -3.525 -1.661 0 0 -1.172 0.692 0.455 0.350 1892 3 -1.380 -3.545 0 0 0.973 -1.193 1.100 -3.035 1892 4 6.556 -2.485 0 0 8.908 -0.132 9.849 -1.161 1892 5 10.000 -4.825 1 0 NaN NaN 12.565 -4.229 1892 6 17.444 -3.215 0 0 19.797 -0.862 21.759 -0.870 1892 7 20.287 -3.571 0 0 22.639 -1.218 24.800 -1.027 1892 8 19.982 -2.780 0 0 22.335 -0.427 23.795 -0.936 1892 9 14.870 -2.555 0 0 17.223 -0.202 19.746 0.351 1892 10 7.556 -3.309 0 0 9.908 -0.957 13.335 0.500 1892 11 0.148 -2.335 0 0 2.501 0.017 4.074 -0.379 1892 12 -6.362 -3.678 0 0 -4.010 -1.325 -3.544 -2.829 1893 1 -4.796 0.303 0 0 -2.444 2.656 -1.792 1.338 1893 2 -6.925 -5.060 0 0 -4.572 -2.708 -2.269 -2.375 1893 3 -1.792 -3.957 0 0 0.560 -1.605 2.168 -1.967 1893 4 5.796 -3.244 0 0 8.149 -0.891 10.641 -0.369 1893 5 11.341 -3.484 0 0 13.693 -1.131 15.057 -1.738 1893 6 NaN NaN NaN NaN NaN NaN 23.357 0.729 1893 7 20.516 -3.342 0 0 22.868 -0.989 25.395 -0.433 1893 8 17.241 -5.521 1 0 NaN NaN 22.172 -2.559 1893 9 13.815 -3.610 0 0 16.167 -1.258 19.635 0.240 1893 10 5.833 -5.031 0 0 8.186 -2.679 12.350 -0.484 1893 11 -2.204 -4.687 0 0 0.149 -2.335 3.040 -1.414 1893 12 -3.278 -0.594 0 0 -0.925 1.759 1.381 2.096 1894 1 -7.937 -2.837 1 0 NaN NaN -4.087 -0.958 1894 2 NaN NaN NaN NaN NaN NaN -5.507 -5.612 1894 3 1.130 -1.035 0 0 3.483 1.318 5.116 0.982 1894 4 7.352 -1.688 0 0 9.704 0.664 12.823 1.813 1894 5 12.437 -2.387 0 0 14.790 -0.035 17.647 0.852 1894 6 17.701 -2.958 0 0 20.054 -0.605 22.777 0.148 1894 7 20.663 -3.195 0 0 23.016 -0.842 25.492 -0.335 1894 8 19.731 -3.031 0 0 22.084 -0.678 24.714 -0.017 1894 9 15.222 -2.203 0 0 17.575 0.150 18.888 -0.507 1894 10 7.352 -3.513 0 0 9.704 -1.160 13.751 0.917 1894 11 -1.092 -3.576 0 0 1.261 -1.223 4.632 0.179 1894 12 -5.914 -3.230 0 0 -3.562 -0.877 -0.556 0.158 1895 1 -7.963 -2.864 0 0 -5.610 -0.511 -5.399 -2.269 1895 2 -7.984 -6.119 0 0 -5.631 -3.767 -4.881 -4.986 1895 3 -0.574 -2.739 0 0 1.778 -0.387 3.569 -0.566 1895 4 8.556 -0.485 0 0 10.908 1.868 13.452 2.442 1895 5 15.950 1.125 0 0 18.302 3.478 17.164 0.370 1895 6 16.130 -4.529 0 0 18.482 -2.177 20.861 -1.768 1895 7 18.495 -5.363 1 0 NaN NaN 22.563 -3.265 1895 8 18.978 -3.783 0 0 21.331 -1.431 23.340 -1.392 1895 9 17.639 0.214 0 0 19.991 2.566 21.162 1.767 1895 10 4.982 -5.882 1 0 NaN NaN 10.706 -2.129 1895 11 -0.714 -3.198 0 0 1.638 -0.845 2.794 -1.659 1895 12 NaN NaN NaN NaN NaN NaN -0.653 0.061 1896 1 NaN NaN NaN NaN NaN NaN 0.037 3.167 1896 2 NaN NaN NaN NaN NaN NaN 2.653 2.547 1896 3 NaN NaN NaN NaN NaN NaN 0.724 -3.411 1896 4 14.641 5.600 1 0 NaN NaN 13.434 2.424 1896 5 17.599 2.774 0 4 16.257 1.433 18.402 1.608 1896 6 22.296 1.637 0 0 20.955 0.296 22.967 0.339 1896 7 23.781 -0.076 0 0 22.440 -1.417 24.883 -0.944 1896 8 23.746 0.984 0 0 22.404 -0.358 24.537 -0.194 1896 9 16.944 -0.481 0 0 15.603 -1.822 16.875 -2.520 1896 10 9.534 -1.331 0 0 8.193 -2.672 11.224 -1.610 1896 11 0.167 -2.317 0 0 -1.175 -3.658 0.091 -4.363 1896 12 2.963 5.647 0 0 1.622 4.306 3.363 4.077 1897 1 -2.944 2.155 0 0 -4.286 0.814 -3.376 -0.246 1897 2 -0.453 1.412 0 0 -1.794 0.070 0.020 -0.086 1897 3 2.796 0.631 0 0 1.454 -0.711 2.876 -1.259 1897 4 9.667 0.626 0 0 8.325 -0.715 10.507 -0.503 1897 5 15.735 0.910 0 0 14.394 -0.431 16.834 0.040 1897 6 21.426 0.767 0 0 20.085 -0.574 22.361 -0.268 1897 7 25.376 1.519 0 0 24.035 0.177 25.707 -0.120 1897 8 23.763 1.001 0 4 21.212 -1.550 23.189 -1.543 1897 9 23.111 5.686 0 0 20.560 3.135 22.076 2.681 1897 10 14.319 3.454 0 0 11.768 0.903 14.375 1.541 1897 11 3.833 1.350 0 0 1.282 -1.201 3.446 -1.008 1897 12 -0.914 1.770 0 0 -3.465 -0.781 -2.336 -1.621 1898 1 -1.703 3.397 0 0 -4.254 0.846 -2.219 0.911 1898 2 2.143 4.007 0 0 -0.408 1.456 1.839 1.734 1898 3 3.907 1.742 0 0 1.356 -0.809 2.809 -1.325 1898 4 11.315 2.275 0 0 8.764 -0.277 10.874 -0.136 1898 5 15.090 0.265 0 0 12.539 -2.286 14.832 -1.963 1898 6 22.370 1.711 0 0 19.819 -0.840 22.502 -0.126 1898 7 24.767 0.909 0 0 22.216 -1.642 24.675 -1.152 1898 8 25.824 3.062 0 0 23.273 0.511 25.151 0.420 1898 9 18.963 1.538 0 0 16.412 -1.013 18.345 -1.049 1898 10 9.480 -1.384 0 0 6.929 -3.935 10.231 -2.603 1898 11 2.167 -0.317 0 0 -0.384 -2.868 1.500 -2.953 1898 12 -2.295 0.389 0 0 -4.846 -2.162 -2.677 -1.962 1899 1 -1.842 3.258 0 0 -4.393 0.706 -3.105 0.025 1899 2 -8.396 -6.532 0 0 -10.947 -9.083 -8.639 -8.744 1899 3 1.763 -0.402 0 0 -0.788 -2.953 0.070 -4.065 1899 4 11.313 2.273 0 0 8.762 -0.278 10.924 -0.086 1899 5 18.629 3.804 0 0 16.078 1.253 17.550 0.756 1899 6 22.418 1.759 0 0 19.867 -0.792 22.295 -0.334 1899 7 23.124 -0.733 0 0 20.573 -3.285 23.722 -2.105 1899 8 26.660 3.898 0 0 24.109 1.347 25.939 1.207 1899 9 21.030 3.605 0 0 18.479 1.054 19.620 0.226 1899 10 14.808 3.943 0 0 12.257 1.392 14.412 1.578 1899 11 7.735 5.251 0 0 5.184 2.700 6.908 2.455 1899 12 -0.942 1.742 0 0 -3.493 -0.809 -1.141 -0.426 1900 1 NaN NaN NaN NaN NaN NaN 0.395 3.525 1900 2 NaN NaN NaN NaN NaN NaN -2.955 -3.061 1900 3 NaN NaN NaN NaN NaN NaN 3.845 -0.289 1900 4 NaN NaN NaN NaN NaN NaN 11.146 0.136 1900 5 NaN NaN NaN NaN NaN NaN 17.267 0.473 1900 6 NaN NaN NaN NaN NaN NaN 23.489 0.860 1900 7 NaN NaN NaN NaN NaN NaN 25.474 -0.354 1900 8 NaN NaN NaN NaN NaN NaN 26.604 1.873 1900 9 NaN NaN NaN NaN NaN NaN 19.717 0.322 1900 10 NaN NaN NaN NaN NaN NaN 15.447 2.613 1900 11 NaN NaN NaN NaN NaN NaN 3.746 -0.707 1900 12 NaN NaN NaN NaN NaN NaN 0.861 1.576