% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36533 % Primary Name: PAXTON % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.12280 +/- 0.00005 % Longitude: -101.35640 +/- 0.00005 % Elevation (m): 937.30 +/- 0.05 % # of Months: 59 % % Alternate Names: PAXTON 2 W % % IDs: coop - 256585 % ghcnd - USC00256585 % ncdc - 20013187 % nws - PAXN1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c65f81492c43911a23e95bee4582730b % Raw Data Hash: a56b8ee164dfb604f20de423a13d795e % Adj Data Hash: b1fd150c01576e12e175bba51e0f5c3f % % 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 1911 8 NaN NaN NaN NaN NaN NaN 20.802 -1.620 1911 9 NaN NaN NaN NaN NaN NaN 18.587 1.578 1911 10 NaN NaN NaN NaN NaN NaN 8.151 -2.293 1911 11 NaN NaN NaN NaN NaN NaN 0.048 -2.389 1911 12 NaN NaN NaN NaN NaN NaN -4.695 -2.507 1912 1 NaN NaN NaN NaN NaN NaN -8.463 -4.146 1912 2 NaN NaN NaN NaN NaN NaN -1.918 -0.783 1912 3 NaN NaN NaN NaN NaN NaN -5.681 -7.859 1912 4 NaN NaN NaN NaN NaN NaN 8.214 -0.295 1912 5 NaN NaN NaN NaN NaN NaN 14.218 -0.191 1912 6 NaN NaN NaN NaN NaN NaN 17.389 -2.683 1912 7 NaN NaN NaN NaN NaN NaN 22.313 -1.279 1912 8 22.424 -0.316 1 0 NaN NaN 20.329 -2.094 1912 9 14.340 -2.986 0 0 14.340 -2.986 12.825 -4.184 1912 10 10.597 -0.164 0 0 10.597 -0.164 10.045 -0.399 1912 11 4.670 1.917 0 0 4.670 1.917 3.899 1.462 1912 12 -1.503 0.368 0 0 -1.503 0.368 -1.608 0.581 1913 1 -4.506 -0.507 0 0 -4.506 -0.507 -4.711 -0.395 1913 2 -5.925 -5.106 0 0 -5.925 -5.106 -6.299 -5.163 1913 3 0.074 -2.421 0 0 0.074 -2.421 -0.388 -2.567 1913 4 10.533 1.707 0 0 10.533 1.707 9.464 0.955 1913 5 15.232 0.507 0 0 15.232 0.507 14.491 0.082 1913 6 21.283 0.895 0 0 21.283 0.895 20.224 0.152 1913 7 23.526 -0.383 0 0 23.526 -0.383 22.782 -0.810 1913 8 24.660 1.920 0 0 24.660 1.920 23.935 1.512 1913 9 16.722 -0.604 0 0 16.722 -0.604 15.530 -1.480 1913 10 7.944 -2.818 0 0 7.944 -2.818 8.260 -2.184 1913 11 5.798 3.045 0 0 5.798 3.045 5.033 2.596 1913 12 -2.510 -0.638 0 0 -2.510 -0.638 -3.643 -1.455 1914 1 0.321 4.321 0 0 0.321 4.321 -0.292 4.024 1914 2 -4.554 -3.735 0 0 -4.554 -3.735 -3.832 -2.697 1914 3 3.706 1.211 0 0 3.706 1.211 2.413 0.234 1914 4 9.067 0.240 0 0 9.067 0.240 8.740 0.230 1914 5 15.203 0.478 0 0 15.203 0.478 14.523 0.114 1914 6 21.807 1.418 0 0 21.807 1.418 21.021 0.949 1914 7 23.955 0.046 0 0 23.955 0.046 23.725 0.133 1914 8 22.565 -0.175 0 0 22.565 -0.175 22.288 -0.135 1914 9 16.628 -0.698 0 0 16.628 -0.698 17.609 0.599 1914 10 NaN NaN NaN NaN NaN NaN 11.702 1.258 1914 11 NaN NaN NaN NaN NaN NaN 5.029 2.592 1914 12 -8.740 -6.869 0 0 -8.740 -6.869 -7.712 -5.524 1915 1 -7.348 -3.349 0 0 -7.348 -3.349 -6.513 -2.196 1915 2 -1.552 -0.733 0 0 -1.552 -0.733 -0.941 0.195 1915 3 -2.875 -5.370 0 0 -2.875 -5.370 -3.316 -5.495 1915 4 12.083 3.257 0 0 12.083 3.257 11.415 2.905 1915 5 12.606 -2.119 0 0 12.606 -2.119 11.850 -2.558 1915 6 17.500 -2.888 0 0 17.500 -2.888 16.683 -3.389 1915 7 20.482 -3.427 0 0 20.482 -3.427 20.334 -3.258 1915 8 19.748 -2.991 0 0 19.748 -2.991 19.315 -3.108 1915 9 16.218 -1.108 0 0 16.218 -1.108 16.016 -0.993 1915 10 11.869 1.108 0 0 11.869 1.108 12.127 1.683 1915 11 4.838 2.085 0 0 4.838 2.085 4.281 1.844 1915 12 -2.484 -0.612 0 0 -2.484 -0.612 -2.054 0.134 1916 1 -9.739 -5.739 0 0 -9.739 -5.739 -9.129 -4.813 1916 2 -1.919 -1.100 0 0 -1.919 -1.100 -0.410 0.726 1916 3 6.576 4.081 0 0 6.576 4.081 5.335 3.156 1916 4 8.478 -0.348 0 0 8.478 -0.348 8.213 -0.297 1916 5 13.668 -1.057 0 0 13.668 -1.057 13.390 -1.018 1916 6 17.254 -3.135 0 0 17.254 -3.135 17.656 -2.416 1916 7 25.860 1.951 0 0 25.860 1.951 25.400 1.807 1916 8 22.614 -0.126 0 0 22.614 -0.126 21.945 -0.478 1916 9 16.613 -0.713 0 0 16.613 -0.713 15.896 -1.113 1916 10 11.073 0.312 1 0 NaN NaN 9.325 -1.120 1916 11 1.293 -1.460 0 0 1.293 -1.460 1.007 -1.429 1916 12 -7.179 -5.308 0 0 -7.179 -5.308 -6.195 -4.007 1917 1 -5.324 -1.324 0 0 -5.324 -1.324 -5.505 -1.188 1917 2 -1.580 -0.761 1 0 NaN NaN -1.172 -0.037 1917 3 -0.118 -2.614 0 0 -0.118 -2.614 -1.259 -3.438 1917 4 6.998 -1.828 0 0 6.998 -1.828 6.726 -1.783 1917 5 8.012 -6.714 1 0 NaN NaN 10.514 -3.895 1917 6 24.184 3.796 1 0 NaN NaN 18.313 -1.759 1917 7 22.827 -1.082 1 0 NaN NaN 24.014 0.422 1917 8 NaN NaN NaN NaN NaN NaN 20.086 -2.336 1917 9 NaN NaN NaN NaN NaN NaN 17.115 0.105 1917 10 NaN NaN NaN NaN NaN NaN 8.043 -2.401 1917 11 NaN NaN NaN NaN NaN NaN 6.529 4.092 1917 12 NaN NaN NaN NaN NaN NaN -3.154 -0.966 1918 1 NaN NaN NaN NaN NaN NaN -8.675 -4.359 1918 2 NaN NaN NaN NaN NaN NaN -0.501 0.634 1918 3 NaN NaN NaN NaN NaN NaN 6.227 4.048 1918 4 NaN NaN NaN NaN NaN NaN 5.253 -3.256 1918 5 NaN NaN NaN NaN NaN NaN 14.749 0.340 1918 6 NaN NaN NaN NaN NaN NaN 22.265 2.193 1918 7 NaN NaN NaN NaN NaN NaN 22.933 -0.659 1918 8 NaN NaN NaN NaN NaN NaN 22.106 -0.316 1918 9 NaN NaN NaN NaN NaN NaN 14.284 -2.725 1918 10 NaN NaN NaN NaN NaN NaN 12.279 1.834 1918 11 NaN NaN NaN NaN NaN NaN 1.656 -0.780 1918 12 NaN NaN NaN NaN NaN NaN -2.365 -0.177 1919 1 NaN NaN NaN NaN NaN NaN -2.871 1.445 1919 2 NaN NaN NaN NaN NaN NaN -4.412 -3.276 1919 3 NaN NaN NaN NaN NaN NaN 2.272 0.094 1919 4 NaN NaN NaN NaN NaN NaN 7.948 -0.561 1919 5 NaN NaN NaN NaN NaN NaN 13.481 -0.927 1919 6 NaN NaN NaN NaN NaN NaN 19.738 -0.334 1919 7 NaN NaN NaN NaN NaN NaN 24.605 1.012 1919 8 NaN NaN NaN NaN NaN NaN 22.402 -0.021 1919 9 NaN NaN NaN NaN NaN NaN 18.701 1.692 1919 10 NaN NaN NaN NaN NaN NaN 7.367 -3.078 1919 11 NaN NaN NaN NaN NaN NaN -1.834 -4.271 1919 12 -26.775 -24.904 1 0 NaN NaN -5.827 -3.639 1920 1 NaN NaN NaN NaN NaN NaN -1.739 2.578 1920 2 NaN NaN NaN NaN NaN NaN -0.765 0.370 1920 3 NaN NaN NaN NaN NaN NaN 1.810 -0.368 1920 4 NaN NaN NaN NaN NaN NaN 3.410 -5.100 1920 5 NaN NaN NaN NaN NaN NaN 13.383 -1.025 1920 6 NaN NaN NaN NaN NaN NaN 18.836 -1.236 1920 7 NaN NaN NaN NaN NaN NaN 22.637 -0.955 1920 8 NaN NaN NaN NaN NaN NaN 20.015 -2.408 1920 9 NaN NaN NaN NaN NaN NaN 16.570 -0.439 1920 10 NaN NaN NaN NaN NaN NaN 11.731 1.286 1920 11 NaN NaN NaN NaN NaN NaN 0.917 -1.520 1920 12 NaN NaN NaN NaN NaN NaN -2.525 -0.337