% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33380 % Primary Name: MCCRACKEN % Record Type: TAVG % Country: United States % State: KS % Latitude: 38.58720 +/- 0.00005 % Longitude: -99.57310 +/- 0.00005 % Elevation (m): 655.30 +/- 0.05 % # of Months: 64 % % IDs: coop - 145115 % ghcnd - USC00145115 % ncdc - 20007587 % nws - MCCK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ae32bbbaeb2287a2949b9a24112f95d7 % Raw Data Hash: a125f9580fc8b8bc19f0636aa6e0d781 % Adj Data Hash: 779bc9c466abf3870aae31b156f0b62b % % 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 1910 10 NaN NaN NaN NaN NaN NaN 16.030 1.587 1910 11 NaN NaN NaN NaN NaN NaN 7.308 1.161 1910 12 NaN NaN NaN NaN NaN NaN 1.779 0.715 1911 1 NaN NaN NaN NaN NaN NaN 1.516 2.724 1911 2 NaN NaN NaN NaN NaN NaN 1.512 -0.390 1911 3 NaN NaN NaN NaN NaN NaN 8.424 2.281 1911 4 NaN NaN NaN NaN NaN NaN 12.819 0.122 1911 5 NaN NaN NaN NaN NaN NaN 18.307 0.094 1911 6 NaN NaN NaN NaN NaN NaN 26.394 2.449 1911 7 NaN NaN NaN NaN NaN NaN 25.929 -0.955 1911 8 NaN NaN NaN NaN NaN NaN 24.645 -1.278 1911 9 NaN NaN NaN NaN NaN NaN 23.884 2.978 1911 10 12.509 -1.792 0 0 12.509 -1.792 13.271 -1.171 1911 11 3.529 -2.478 0 0 3.529 -2.478 3.643 -2.505 1911 12 -2.095 -3.017 0 0 -2.095 -3.017 -1.752 -2.816 1912 1 -7.508 -6.159 0 0 -7.508 -6.159 -7.591 -6.384 1912 2 0.516 -1.244 0 0 0.516 -1.244 0.384 -1.518 1912 3 -0.721 -6.723 0 0 -0.721 -6.723 -0.865 -7.008 1912 4 11.781 -0.774 1 0 NaN NaN 12.151 -0.546 1912 5 18.176 0.105 0 0 18.176 0.105 18.886 0.674 1912 6 19.453 -4.351 1 0 NaN NaN 21.084 -2.861 1912 7 26.183 -0.558 0 0 26.183 -0.558 26.848 -0.035 1912 8 25.413 -0.368 0 0 25.413 -0.368 25.167 -0.756 1912 9 18.579 -2.186 0 0 18.579 -2.186 18.322 -2.584 1912 10 13.450 -0.851 1 0 NaN NaN 14.645 0.202 1912 11 7.090 1.084 0 0 7.090 1.084 7.160 1.012 1912 12 1.698 0.777 0 0 1.698 0.777 1.676 0.613 1913 1 -1.140 0.209 0 0 -1.140 0.209 -1.553 -0.346 1913 2 -2.771 -4.531 1 0 NaN NaN -3.497 -5.399 1913 3 4.697 -1.305 0 0 4.697 -1.305 4.249 -1.894 1913 4 13.595 1.039 0 0 13.595 1.039 13.667 0.969 1913 5 19.400 1.329 0 0 19.400 1.329 19.764 1.551 1913 6 23.062 -0.742 0 0 23.062 -0.742 23.361 -0.584 1913 7 28.165 1.423 0 0 28.165 1.423 27.858 0.975 1913 8 28.085 2.304 0 0 28.085 2.304 28.535 2.612 1913 9 19.112 -1.653 0 0 19.112 -1.653 18.705 -2.201 1913 10 11.927 -2.374 0 0 11.927 -2.374 12.608 -1.835 1913 11 8.363 2.357 0 0 8.363 2.357 8.680 2.532 1913 12 1.189 0.267 0 0 1.189 0.267 1.131 0.067 1914 1 4.216 5.565 0 0 4.216 5.565 3.617 4.824 1914 2 NaN NaN NaN NaN NaN NaN -0.330 -2.232 1914 3 NaN NaN NaN NaN NaN NaN 6.310 0.166 1914 4 12.562 0.007 0 0 12.562 0.007 12.708 0.011 1914 5 17.350 -0.721 0 0 17.350 -0.721 17.173 -1.039 1914 6 24.477 0.673 0 0 24.477 0.673 25.863 1.918 1914 7 NaN NaN NaN NaN NaN NaN 26.866 -0.017 1914 8 25.571 -0.211 1 0 NaN NaN 25.512 -0.411 1914 9 24.029 3.264 0 0 24.029 3.264 22.656 1.750 1914 10 15.534 1.232 1 0 NaN NaN 15.021 0.578 1914 11 9.446 3.440 0 0 9.446 3.440 8.890 2.742 1914 12 NaN NaN NaN NaN NaN NaN -4.187 -5.250 1915 1 -0.898 0.451 0 0 -0.898 0.451 -1.143 0.065 1915 2 3.709 1.949 0 0 3.709 1.949 4.026 2.124 1915 3 -0.527 -6.529 0 0 -0.527 -6.529 -0.116 -6.259 1915 4 14.410 1.854 0 0 14.410 1.854 14.750 2.052 1915 5 15.294 -2.777 0 0 15.294 -2.777 15.164 -3.048 1915 6 20.358 -3.445 0 0 20.358 -3.445 20.814 -3.130 1915 7 NaN NaN NaN NaN NaN NaN 23.805 -3.078 1915 8 20.516 -5.265 0 0 20.516 -5.265 21.243 -4.680 1915 9 20.484 -0.280 1 0 NaN NaN 20.311 -0.595 1915 10 14.452 0.150 0 0 14.452 0.150 15.138 0.695 1915 11 NaN NaN NaN NaN NaN NaN 8.630 2.482 1915 12 1.799 0.878 0 0 1.799 0.878 1.921 0.857 1916 1 -4.127 -2.778 0 0 -4.127 -2.778 -4.121 -2.914 1916 2 0.743 -1.017 0 0 0.743 -1.017 1.434 -0.468 1916 3 9.695 3.693 0 0 9.695 3.693 8.901 2.758 1916 4 10.677 -1.879 0 0 10.677 -1.879 10.344 -2.353 1916 5 16.861 -1.210 0 0 16.861 -1.210 17.686 -0.527 1916 6 21.230 -2.573 0 0 21.230 -2.573 21.893 -2.052 1916 7 NaN NaN NaN NaN NaN NaN 27.341 0.458 1916 8 26.705 0.923 0 0 26.705 0.923 26.409 0.486 1916 9 20.062 -0.703 0 0 20.062 -0.703 19.600 -1.307 1916 10 13.864 -0.437 0 0 13.864 -0.437 14.474 0.031 1916 11 5.277 -0.730 0 0 5.277 -0.730 5.817 -0.331 1916 12 -2.124 -3.046 0 0 -2.124 -3.046 -1.369 -2.433 1917 1 -0.288 1.061 0 0 -0.288 1.061 -0.547 0.660 1917 2 NaN NaN NaN NaN NaN NaN 0.886 -1.016 1917 3 NaN NaN NaN NaN NaN NaN 5.594 -0.549 1917 4 NaN NaN NaN NaN NaN NaN 11.327 -1.371 1917 5 7.373 -10.698 1 0 NaN NaN 14.124 -4.088 1917 6 23.553 -0.250 0 0 23.553 -0.250 23.400 -0.545 1917 7 NaN NaN NaN NaN NaN NaN 27.344 0.461 1917 8 NaN NaN NaN NaN NaN NaN 23.069 -2.854 1917 9 20.320 -0.445 0 0 20.320 -0.445 20.463 -0.444 1917 10 12.132 -2.169 1 0 NaN NaN 11.384 -3.059 1917 11 NaN NaN NaN NaN NaN NaN 8.778 2.630 1917 12 -4.246 -5.168 0 0 -4.246 -5.168 -2.206 -3.270 1918 1 NaN NaN NaN NaN NaN NaN -6.183 -4.976 1918 2 NaN NaN NaN NaN NaN NaN 3.216 1.314 1918 3 NaN NaN NaN NaN NaN NaN 9.165 3.022 1918 4 NaN NaN NaN NaN NaN NaN 9.426 -3.271 1918 5 19.995 1.925 1 0 NaN NaN 19.370 1.158 1918 6 NaN NaN NaN NaN NaN NaN 25.856 1.911 1918 7 26.181 -0.561 0 0 26.181 -0.561 26.013 -0.870 1918 8 NaN NaN NaN NaN NaN NaN 27.430 1.507 1918 9 NaN NaN NaN NaN NaN NaN 17.745 -3.161 1918 10 NaN NaN NaN NaN NaN NaN 16.106 1.663 1918 11 NaN NaN NaN NaN NaN NaN 5.226 -0.922 1918 12 NaN NaN NaN NaN NaN NaN 1.521 0.457 1919 1 NaN NaN NaN NaN NaN NaN -1.341 -0.133 1919 2 NaN NaN NaN NaN NaN NaN 0.243 -1.659 1919 3 NaN NaN NaN NaN NaN NaN 6.020 -0.124 1919 4 NaN NaN NaN NaN NaN NaN 11.838 -0.860 1919 5 NaN NaN NaN NaN NaN NaN 16.155 -2.058 1919 6 NaN NaN NaN NaN NaN NaN 21.940 -2.005 1919 7 NaN NaN NaN NaN NaN NaN 26.668 -0.215