% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37543 % Primary Name: THEDFORD % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.97920 +/- 0.00005 % Longitude: -100.57470 +/- 0.00005 % Elevation (m): 893.10 +/- 0.05 % # of Months: 45 % % Alternate Names: THEDFORD 2 E % % IDs: coop - 258510 % ghcnd - USC00258510 % ncdc - 20013334 % nws - THDN1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2f886d11c404fb772293028e3fb5094c % Raw Data Hash: 98f87d818ac93fa4bdec84deed6b2e9f % Adj Data Hash: a89e06f69bd2c8887505dca136c6b404 % % 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 -8.341 -1.851 1892 2 NaN NaN NaN NaN NaN NaN -3.259 0.077 1892 3 NaN NaN NaN NaN NaN NaN -1.107 -1.800 1892 4 NaN NaN NaN NaN NaN NaN 6.148 -1.930 1892 5 NaN NaN NaN NaN NaN NaN 9.607 -4.827 1892 6 NaN NaN NaN NaN NaN NaN 18.085 -1.910 1892 7 NaN NaN NaN NaN NaN NaN 23.077 -0.492 1892 8 NaN NaN NaN NaN NaN NaN 22.210 -0.279 1892 9 NaN NaN NaN NaN NaN NaN 17.684 0.860 1892 10 NaN NaN NaN NaN NaN NaN 11.860 1.531 1892 11 NaN NaN NaN NaN NaN NaN 1.478 -0.452 1892 12 NaN NaN NaN NaN NaN NaN -5.931 -2.336 1893 1 -5.197 1.076 1 0 NaN NaN -6.191 0.300 1893 2 -7.421 -4.302 1 0 NaN NaN -6.618 -3.281 1893 3 NaN NaN NaN NaN NaN NaN -2.541 -3.234 1893 4 5.926 -2.370 1 0 NaN NaN 5.719 -2.359 1893 5 11.313 -3.338 1 0 NaN NaN 12.441 -1.993 1893 6 22.778 2.565 0 0 22.778 2.565 21.106 1.111 1893 7 NaN NaN NaN NaN NaN NaN 23.858 0.288 1893 8 NaN NaN NaN NaN NaN NaN 20.882 -1.606 1893 9 NaN NaN NaN NaN NaN NaN 17.008 0.184 1893 10 NaN NaN NaN NaN NaN NaN 9.193 -1.137 1893 11 NaN NaN NaN NaN NaN NaN 0.509 -1.422 1893 12 NaN NaN NaN NaN NaN NaN -3.595 0.000 1894 1 NaN NaN NaN NaN NaN NaN -9.452 -2.962 1894 2 NaN NaN NaN NaN NaN NaN -7.686 -4.350 1894 3 NaN NaN NaN NaN NaN NaN 1.325 0.632 1894 4 NaN NaN NaN NaN NaN NaN 9.687 1.609 1894 5 NaN NaN NaN NaN NaN NaN 15.868 1.434 1894 6 NaN NaN NaN NaN NaN NaN 21.112 1.117 1894 7 NaN NaN NaN NaN NaN NaN 24.415 0.845 1894 8 NaN NaN NaN NaN NaN NaN 23.712 1.223 1894 9 NaN NaN NaN NaN NaN NaN 16.727 -0.097 1894 10 NaN NaN NaN NaN NaN NaN 10.823 0.493 1894 11 NaN NaN NaN NaN NaN NaN 2.102 0.172 1894 12 NaN NaN NaN NaN NaN NaN -1.307 2.289 1895 1 NaN NaN NaN NaN NaN NaN -9.319 -2.829 1895 2 NaN NaN NaN NaN NaN NaN -7.121 -3.784 1895 3 NaN NaN NaN NaN NaN NaN -0.633 -1.326 1895 4 NaN NaN NaN NaN NaN NaN 11.732 3.653 1895 5 NaN NaN NaN NaN NaN NaN 14.212 -0.222 1895 6 NaN NaN NaN NaN NaN NaN 17.818 -2.177 1895 7 25.072 1.285 0 2 25.072 1.285 21.924 -1.645 1895 8 NaN NaN NaN NaN NaN NaN 22.166 -0.322 1895 9 17.889 0.847 0 0 17.889 0.847 17.901 1.076 1895 10 7.097 -3.450 0 0 7.097 -3.450 8.649 -1.681 1895 11 -0.519 -2.666 0 0 -0.519 -2.666 -0.235 -2.165 1895 12 -2.455 0.923 0 0 -2.455 0.923 -2.832 0.764 1896 1 -3.889 2.384 0 0 -3.889 2.384 -4.244 2.246 1896 2 -0.038 3.081 1 0 NaN NaN 0.009 3.346 1896 3 -1.022 -1.932 0 0 -1.022 -1.932 -3.302 -3.995 1896 4 9.074 0.778 0 0 9.074 0.778 8.879 0.800 1896 5 17.115 2.463 0 0 17.115 2.463 16.597 2.163 1896 6 21.630 1.417 0 0 21.630 1.417 20.215 0.220 1896 7 22.330 -1.457 0 0 22.330 -1.457 22.874 -0.695 1896 8 20.502 -2.204 0 0 20.502 -2.204 21.825 -0.664 1896 9 13.815 -3.227 0 0 13.815 -3.227 14.004 -2.820 1896 10 7.276 -3.271 0 0 7.276 -3.271 8.617 -1.713 1896 11 -5.815 -7.962 0 0 -5.815 -7.962 -5.988 -7.918 1896 12 0.251 3.629 0 0 0.251 3.629 0.608 4.204 1897 1 -6.452 -0.179 0 0 -6.452 -0.179 -7.788 -1.297 1897 2 -3.313 -0.194 0 0 -3.313 -0.194 -3.968 -0.631 1897 3 1.667 0.756 0 0 1.667 0.756 -1.924 -2.617 1897 4 7.481 -0.815 0 0 7.481 -0.815 7.484 -0.594 1897 5 16.703 2.051 0 0 16.703 2.051 15.115 0.681 1897 6 19.944 -0.268 0 0 19.944 -0.268 18.876 -1.119 1897 7 23.047 -0.740 0 0 23.047 -0.740 23.327 -0.243 1897 8 20.789 -1.917 0 0 20.789 -1.917 20.629 -1.859 1897 9 20.389 3.347 0 0 20.389 3.347 20.592 3.768 1897 10 NaN NaN NaN NaN NaN NaN 11.254 0.924 1897 11 1.259 -0.888 0 0 1.259 -0.888 -0.229 -2.159 1897 12 -4.032 -0.654 0 0 -4.032 -0.654 -5.507 -1.912 1898 1 -4.355 1.918 0 0 -4.355 1.918 -4.193 2.297 1898 2 -1.984 1.135 0 0 -1.984 1.135 -1.053 2.284 1898 3 0.036 -0.875 0 0 0.036 -0.875 -0.793 -1.486 1898 4 6.722 -1.574 0 0 6.722 -1.574 8.166 0.088 1898 5 10.856 -3.795 1 0 NaN NaN 12.466 -1.968 1898 6 18.019 -2.194 0 0 18.019 -2.194 20.051 0.056 1898 7 20.860 -2.927 0 0 20.860 -2.927 22.706 -0.863 1898 8 21.631 -1.075 0 0 21.631 -1.075 22.256 -0.232 1898 9 15.556 -1.486 0 0 15.556 -1.486 16.184 -0.641 1898 10 7.366 -3.182 0 0 7.366 -3.182 8.076 -2.254 1898 11 -0.352 -2.500 0 0 -0.352 -2.500 -1.346 -3.276 1898 12 -5.627 -2.249 0 0 -5.627 -2.249 -5.263 -1.667 1899 1 NaN NaN NaN NaN NaN NaN -6.794 -0.304 1899 2 NaN NaN NaN NaN NaN NaN -12.385 -9.049 1899 3 NaN NaN NaN NaN NaN NaN -6.363 -7.056 1899 4 NaN NaN NaN NaN NaN NaN 7.861 -0.218 1899 5 NaN NaN NaN NaN NaN NaN 13.530 -0.904 1899 6 NaN NaN NaN NaN NaN NaN 19.486 -0.509 1899 7 NaN NaN NaN NaN NaN NaN 23.053 -0.516 1899 8 NaN NaN NaN NaN NaN NaN 22.489 0.001 1899 9 NaN NaN NaN NaN NaN NaN 16.622 -0.202 1899 10 NaN NaN NaN NaN NaN NaN 10.170 -0.159 1899 11 NaN NaN NaN NaN NaN NaN 5.409 3.478 1899 12 NaN NaN NaN NaN NaN NaN -5.109 -1.513