% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34339 % Primary Name: MORLAND 1 E % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.35931 +/- 0.01764 % Longitude: -100.05681 +/- 0.01514 % Elevation (m): 717.70 +/- 12.15 % # of Months: 53 % % Alternate Names: MORLAND % MORLAND 2 N % MORLAND 2N % % IDs: coop - 145483 % ghcnd - USC00145483 % ncdc - 20007843 % nws - MRLK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5bf43d3564fd4ba1fe97aacc7a1daa1b % Raw Data Hash: e99482d2039ef4be74fd6add9730a430 % Adj Data Hash: c9e691da65b036a2c1027916a42797f6 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -4.478 -1.348 1892 2 NaN NaN NaN NaN NaN NaN 0.455 0.350 1892 3 NaN NaN NaN NaN NaN NaN 1.100 -3.035 1892 4 NaN NaN NaN NaN NaN NaN 9.849 -1.161 1892 5 NaN NaN NaN NaN NaN NaN 12.565 -4.229 1892 6 NaN NaN NaN NaN NaN NaN 21.759 -0.870 1892 7 NaN NaN NaN NaN NaN NaN 24.800 -1.027 1892 8 NaN NaN NaN NaN NaN NaN 23.795 -0.936 1892 9 NaN NaN NaN NaN NaN NaN 19.746 0.351 1892 10 NaN NaN NaN NaN NaN NaN 13.335 0.500 1892 11 NaN NaN NaN NaN NaN NaN 4.074 -0.379 1892 12 NaN NaN NaN NaN NaN NaN -3.544 -2.829 1893 1 -0.645 2.236 0 0 -0.645 2.236 -1.792 1.338 1893 2 -2.302 -2.655 0 0 -2.302 -2.655 -2.269 -2.375 1893 3 2.975 -1.408 0 0 2.975 -1.408 2.168 -1.967 1893 4 10.576 -0.682 0 0 10.576 -0.682 10.641 -0.369 1893 5 15.391 -1.652 0 0 15.391 -1.652 15.057 -1.738 1893 6 23.241 0.364 0 0 23.241 0.364 23.357 0.729 1893 7 25.502 -0.574 0 0 25.502 -0.574 25.395 -0.433 1893 8 21.577 -3.403 0 0 21.577 -3.403 22.172 -2.559 1893 9 20.389 0.746 0 0 20.389 0.746 19.635 0.240 1893 10 12.375 -0.707 0 0 12.375 -0.707 12.350 -0.484 1893 11 4.234 -0.468 0 0 4.234 -0.468 3.040 -1.414 1893 12 2.276 2.742 0 0 2.276 2.742 1.381 2.096 1894 1 -3.544 -0.663 0 0 -3.544 -0.663 -4.087 -0.958 1894 2 -5.794 -6.147 0 0 -5.794 -6.147 -5.507 -5.612 1894 3 5.813 1.430 0 0 5.813 1.430 5.116 0.982 1894 4 13.169 1.911 0 0 13.169 1.911 12.823 1.813 1894 5 18.389 1.346 0 0 18.389 1.346 17.647 0.852 1894 6 21.796 -1.081 0 0 21.796 -1.081 22.777 0.148 1894 7 24.677 -1.398 0 0 24.677 -1.398 25.492 -0.335 1894 8 24.176 -0.804 0 0 24.176 -0.804 24.714 -0.017 1894 9 19.616 -0.027 0 0 19.616 -0.027 18.888 -0.507 1894 10 13.065 -0.018 1 0 NaN NaN 13.751 0.917 1894 11 5.185 0.484 0 0 5.185 0.484 4.632 0.179 1894 12 0.072 0.538 0 0 0.072 0.538 -0.556 0.158 1895 1 -4.185 -1.304 0 0 -4.185 -1.304 -5.399 -2.269 1895 2 -4.782 -5.135 0 0 -4.782 -5.135 -4.881 -4.986 1895 3 4.516 0.133 0 0 4.516 0.133 3.569 -0.566 1895 4 13.942 2.683 0 0 13.942 2.683 13.452 2.442 1895 5 17.258 0.215 0 0 17.258 0.215 17.164 0.370 1895 6 20.192 -2.685 0 0 20.192 -2.685 20.861 -1.768 1895 7 21.442 -4.634 0 0 21.442 -4.634 22.563 -3.265 1895 8 23.100 -1.880 0 0 23.100 -1.880 23.340 -1.392 1895 9 22.019 2.375 0 0 22.019 2.375 21.162 1.767 1895 10 11.193 -1.889 0 0 11.193 -1.889 10.706 -2.129 1895 11 4.426 -0.276 0 0 4.426 -0.276 2.794 -1.659 1895 12 -0.552 -0.085 0 0 -0.552 -0.085 -0.653 0.061 1896 1 1.057 3.939 0 0 1.057 3.939 0.037 3.167 1896 2 NaN NaN NaN NaN NaN NaN 2.653 2.547 1896 3 2.131 -2.252 0 0 2.131 -2.252 0.724 -3.411 1896 4 13.966 2.707 0 0 13.966 2.707 13.434 2.424 1896 5 NaN NaN NaN NaN NaN NaN 18.402 1.608 1896 6 NaN NaN NaN NaN NaN NaN 22.967 0.339 1896 7 24.222 -1.853 0 0 24.222 -1.853 24.883 -0.944 1896 8 24.342 -0.638 0 0 24.342 -0.638 24.537 -0.194 1896 9 16.648 -2.996 0 0 16.648 -2.996 16.875 -2.520 1896 10 NaN NaN NaN NaN NaN NaN 11.224 -1.610 1896 11 NaN NaN NaN NaN NaN NaN 0.091 -4.363 1896 12 3.656 4.122 0 0 3.656 4.122 3.363 4.077 1897 1 NaN NaN NaN NaN NaN NaN -3.376 -0.246 1897 2 NaN NaN NaN NaN NaN NaN 0.020 -0.086 1897 3 NaN NaN NaN NaN NaN NaN 2.876 -1.259 1897 4 10.111 -1.147 0 0 10.111 -1.147 10.507 -0.503 1897 5 NaN NaN NaN NaN NaN NaN 16.834 0.040 1897 6 21.360 -1.517 0 0 21.360 -1.517 22.361 -0.268 1897 7 24.982 -1.093 0 0 24.982 -1.093 25.707 -0.120 1897 8 22.885 -2.095 0 0 22.885 -2.095 23.189 -1.543 1897 9 NaN NaN NaN NaN NaN NaN 22.076 2.681 1897 10 NaN NaN NaN NaN NaN NaN 14.375 1.541 1897 11 4.087 -0.615 0 0 4.087 -0.615 3.446 -1.008 1897 12 -2.052 -1.586 0 0 -2.052 -1.586 -2.336 -1.621 1898 1 -0.753 2.129 0 0 -0.753 2.129 -2.219 0.911 1898 2 2.500 2.146 0 0 2.500 2.146 1.839 1.734 1898 3 2.567 -1.816 0 0 2.567 -1.816 2.809 -1.325 1898 4 11.270 0.012 0 0 11.270 0.012 10.874 -0.136 1898 5 NaN NaN NaN NaN NaN NaN 14.832 -1.963 1898 6 NaN NaN NaN NaN NaN NaN 22.502 -0.126 1898 7 NaN NaN NaN NaN NaN NaN 24.675 -1.152 1898 8 NaN NaN NaN NaN NaN NaN 25.151 0.420 1898 9 NaN NaN NaN NaN NaN NaN 18.345 -1.049 1898 10 NaN NaN NaN NaN NaN NaN 10.231 -2.603 1898 11 NaN NaN NaN NaN NaN NaN 1.500 -2.953 1898 12 NaN NaN NaN NaN NaN NaN -2.677 -1.962 1899 1 NaN NaN NaN NaN NaN NaN -3.105 0.025 1899 2 NaN NaN NaN NaN NaN NaN -8.639 -8.744 1899 3 NaN NaN NaN NaN NaN NaN 0.070 -4.065 1899 4 NaN NaN NaN NaN NaN NaN 10.924 -0.086