% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 173109 % Primary Name: CAMPBELL % Record Type: TAVG % Country: United States % State: KS % Latitude: 40.00000 +/- 0.00833 % Longitude: -97.00000 +/- 0.00833 % Elevation (m): 365.76 +/- 0.15 % # of Months: 65 % % Alternate Names: Missing Station ID - 141251 % % IDs: coop - 141251 % ncdc - 12001889 % % Sources: US Cooperative Summary of the Day % Multi-network Metadata System % % Site Hash: ea9ecebfc39b56f0a352d251bb07f7f1 % Raw Data Hash: fcf804a06a9ed79a2f6874a030e88e9e % Adj Data Hash: 9ae58ff57225b332c1485cbe35928e78 % % 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 1894 7 NaN NaN NaN NaN NaN NaN 25.641 -0.907 1894 8 NaN NaN NaN NaN NaN NaN 26.084 0.521 1894 9 NaN NaN NaN NaN NaN NaN 19.914 -0.287 1894 10 NaN NaN NaN NaN NaN NaN 14.730 1.026 1894 11 NaN NaN NaN NaN NaN NaN 4.610 -0.633 1894 12 NaN NaN NaN NaN NaN NaN 0.904 1.587 1895 1 NaN NaN NaN NaN NaN NaN -6.261 -2.545 1895 2 NaN NaN NaN NaN NaN NaN -4.735 -4.576 1895 3 NaN NaN NaN NaN NaN NaN 4.295 -0.546 1895 4 NaN NaN NaN NaN NaN NaN 14.809 2.842 1895 5 NaN NaN NaN NaN NaN NaN 18.644 0.830 1895 6 NaN NaN NaN NaN NaN NaN 22.683 -0.776 1895 7 25.165 -1.471 1 0 NaN NaN 24.347 -2.201 1895 8 24.875 -0.776 0 0 24.875 -0.776 24.472 -1.091 1895 9 22.778 2.490 0 0 22.778 2.490 22.422 2.221 1895 10 11.523 -2.267 0 0 11.523 -2.267 11.133 -2.571 1895 11 3.796 -1.534 0 0 3.796 -1.534 3.919 -1.325 1895 12 -0.986 -0.390 0 0 -0.986 -0.390 -0.190 0.493 1896 1 NaN NaN NaN NaN NaN NaN -1.036 2.679 1896 2 1.513 1.585 0 0 1.513 1.585 2.221 2.379 1896 3 1.631 -3.297 0 0 1.631 -3.297 1.396 -3.445 1896 4 15.491 3.437 0 0 15.491 3.437 15.271 3.304 1896 5 19.534 1.633 0 0 19.534 1.633 19.760 1.946 1896 6 22.333 -1.213 0 0 22.333 -1.213 23.128 -0.331 1896 7 24.516 -2.120 0 0 24.516 -2.120 25.429 -1.120 1896 8 23.405 -2.245 0 0 23.405 -2.245 25.068 -0.495 1896 9 17.352 -2.936 0 0 17.352 -2.936 17.467 -2.734 1896 10 11.344 -2.446 0 0 11.344 -2.446 11.863 -1.840 1896 11 1.444 -3.886 0 0 1.444 -3.886 1.159 -4.084 1896 12 3.315 3.911 0 0 3.315 3.911 3.372 4.055 1897 1 -3.530 0.098 0 0 -3.530 0.098 -3.991 -0.276 1897 2 -1.310 -1.238 0 0 -1.310 -1.238 -0.712 -0.554 1897 3 4.444 -0.484 0 0 4.444 -0.484 3.684 -1.156 1897 4 11.444 -0.609 0 0 11.444 -0.609 11.560 -0.406 1897 5 17.168 -0.733 0 0 17.168 -0.733 17.125 -0.689 1897 6 23.648 0.102 0 0 23.648 0.102 23.960 0.501 1897 7 26.541 -0.095 0 0 26.541 -0.095 26.832 0.283 1897 8 23.961 -1.690 0 0 23.961 -1.690 24.008 -1.555 1897 9 24.278 3.990 0 0 24.278 3.990 23.078 2.877 1897 10 16.111 2.321 0 0 16.111 2.321 15.869 2.166 1897 11 4.556 -0.775 0 0 4.556 -0.775 4.244 -0.999 1897 12 -3.799 -3.203 0 0 -3.799 -3.203 -3.007 -2.323 1898 1 -1.649 1.979 0 0 -1.649 1.979 -2.135 1.580 1898 2 0.516 0.587 0 0 0.516 0.587 1.183 1.342 1898 3 5.125 0.197 0 0 5.125 0.197 4.371 -0.470 1898 4 11.444 -0.609 0 0 11.444 -0.609 11.199 -0.768 1898 5 16.971 -0.930 0 0 16.971 -0.930 16.488 -1.326 1898 6 24.556 1.009 0 0 24.556 1.009 23.756 0.297 1898 7 25.878 -0.758 0 0 25.878 -0.758 25.558 -0.991 1898 8 25.932 0.282 0 0 25.932 0.282 25.933 0.370 1898 9 21.741 1.453 0 0 21.741 1.453 20.270 0.069 1898 10 11.487 -2.303 0 0 11.487 -2.303 11.523 -2.180 1898 11 2.944 -2.386 0 0 2.944 -2.386 2.128 -3.115 1898 12 -4.158 -3.562 0 0 -4.158 -3.562 -3.422 -2.739 1899 1 -2.285 1.343 0 0 -2.285 1.343 -3.300 0.415 1899 2 -8.879 -8.808 0 0 -8.879 -8.808 -8.604 -8.446 1899 3 0.233 -4.695 0 0 0.233 -4.695 0.069 -4.772 1899 4 11.870 -0.184 0 0 11.870 -0.184 11.524 -0.443 1899 5 19.229 1.328 0 0 19.229 1.328 18.728 0.914 1899 6 23.870 0.324 0 0 23.870 0.324 23.094 -0.365 1899 7 25.305 -1.331 0 0 25.305 -1.331 24.479 -2.069 1899 8 26.165 0.515 0 0 26.165 0.515 26.660 1.097 1899 9 20.056 -0.233 0 0 20.056 -0.233 19.775 -0.426 1899 10 16.882 3.091 0 0 16.882 3.091 16.525 2.821 1899 11 9.037 3.707 0 0 9.037 3.707 8.176 2.933 1899 12 -2.204 -1.608 0 0 -2.204 -1.608 -1.381 -0.698 1900 1 0.241 3.869 0 0 0.241 3.869 -0.309 3.406 1900 2 -4.762 -4.691 0 0 -4.762 -4.691 -3.907 -3.749 1900 3 3.981 -0.947 0 0 3.981 -0.947 3.643 -1.198 1900 4 13.870 1.816 0 0 13.870 1.816 12.911 0.944 1900 5 18.835 0.934 0 0 18.835 0.934 18.183 0.369 1900 6 24.148 0.602 0 0 24.148 0.602 23.928 0.469 1900 7 26.000 -0.636 0 0 26.000 -0.636 26.112 -0.437 1900 8 NaN NaN NaN NaN NaN NaN 27.469 1.906 1900 9 20.889 0.601 0 0 20.889 0.601 20.716 0.515 1900 10 16.756 2.966 0 0 16.756 2.966 16.573 2.870 1900 11 3.730 -1.600 0 0 3.730 -1.600 3.843 -1.400 1900 12 0.352 0.948 0 0 0.352 0.948 1.164 1.847 1901 1 -2.247 1.381 1 0 NaN NaN -2.326 1.389 1901 2 NaN NaN NaN NaN NaN NaN -4.126 -3.967 1901 3 NaN NaN NaN NaN NaN NaN 3.692 -1.149 1901 4 NaN NaN NaN NaN NaN NaN 11.053 -0.914 1901 5 NaN NaN NaN NaN NaN NaN 16.547 -1.267 1901 6 NaN NaN NaN NaN NaN NaN 24.961 1.502 1901 7 NaN NaN NaN NaN NaN NaN 30.082 3.533 1901 8 NaN NaN NaN NaN NaN NaN 26.273 0.710 1901 9 NaN NaN NaN NaN NaN NaN 19.802 -0.399 1901 10 NaN NaN NaN NaN NaN NaN 15.465 1.762 1901 11 NaN NaN NaN NaN NaN NaN 5.891 0.648 1901 12 NaN NaN NaN NaN NaN NaN -1.807 -1.123 1902 1 NaN NaN NaN NaN NaN NaN -3.128 0.587