% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36771 % Primary Name: REYNOLDS % Record Type: TAVG % Country: United States % State: IL % Latitude: 41.33330 +/- 0.00005 % Longitude: -90.71670 +/- 0.00005 % Elevation (m): 247.80 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 117211 % % IDs: coop - 117211 % ghcnd - USC00117211 % ncdc - 12001724 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: aeb628671fc5dcd0895b082b627ff81b % Raw Data Hash: b1dde4f2d5c553063d29795b09e6f3c2 % Adj Data Hash: b1dde4f2d5c553063d29795b09e6f3c2 % % 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 10 NaN NaN NaN NaN NaN NaN 12.601 0.170 1894 11 NaN NaN NaN NaN NaN NaN 1.763 -2.683 1894 12 NaN NaN NaN NaN NaN NaN 0.210 2.635 1895 1 NaN NaN NaN NaN NaN NaN -9.333 -3.249 1895 2 NaN NaN NaN NaN NaN NaN -8.358 -5.546 1895 3 NaN NaN NaN NaN NaN NaN 2.011 -0.944 1895 4 NaN NaN NaN NaN NaN NaN 12.505 1.623 1895 5 NaN NaN NaN NaN NaN NaN 17.128 0.117 1895 6 NaN NaN NaN NaN NaN NaN 22.709 0.645 1895 7 NaN NaN NaN NaN NaN NaN 23.233 -1.128 1895 8 NaN NaN NaN NaN NaN NaN 23.534 0.376 1895 9 NaN NaN NaN NaN NaN NaN 20.803 2.065 1895 10 8.173 -3.836 0 0 8.173 -3.836 9.388 -3.043 1895 11 2.241 -1.783 0 0 2.241 -1.783 2.831 -1.615 1895 12 -1.828 1.019 0 0 -1.828 1.019 -1.921 0.505 1896 1 -3.082 3.423 0 0 -3.082 3.423 -3.913 2.171 1896 2 -2.921 0.313 0 0 -2.921 0.313 -2.321 0.491 1896 3 0.520 -2.014 0 0 0.520 -2.014 0.380 -2.575 1896 4 13.755 3.295 0 0 13.755 3.295 14.679 3.797 1896 5 19.803 3.214 0 0 19.803 3.214 20.172 3.161 1896 6 20.574 -1.068 0 0 20.574 -1.068 21.836 -0.228 1896 7 23.047 -0.892 0 0 23.047 -0.892 23.652 -0.709 1896 8 22.151 -0.586 0 0 22.151 -0.586 22.801 -0.358 1896 9 15.648 -2.668 0 0 15.648 -2.668 15.956 -2.782 1896 10 9.462 -2.547 0 0 9.462 -2.547 10.433 -1.997 1896 11 2.333 -1.691 0 0 2.333 -1.691 2.269 -2.177 1896 12 0.143 2.991 0 0 0.143 2.991 0.838 3.264 1897 1 -6.523 -0.017 0 0 -6.523 -0.017 -7.146 -1.062 1897 2 -2.440 0.793 0 0 -2.440 0.793 -2.066 0.745 1897 3 1.703 -0.831 0 0 1.703 -0.831 1.751 -1.204 1897 4 9.315 -1.145 0 0 9.315 -1.145 10.170 -0.712 1897 5 15.000 -1.589 0 0 15.000 -1.589 15.443 -1.568 1897 6 21.278 -0.364 0 0 21.278 -0.364 21.878 -0.186 1897 7 24.642 0.703 0 0 24.642 0.703 25.013 0.653 1897 8 21.470 -1.267 0 0 21.470 -1.267 21.607 -1.552 1897 9 21.815 3.498 0 0 21.815 3.498 22.458 3.720 1897 10 14.892 2.884 0 0 14.892 2.884 15.671 3.241 1897 11 3.037 -0.987 0 0 3.037 -0.987 3.487 -0.959 1897 12 -5.914 -3.067 0 0 -5.914 -3.067 -5.793 -3.367 1898 1 -3.333 3.173 0 0 -3.333 3.173 -3.997 2.087 1898 2 -3.631 -0.398 0 0 -3.631 -0.398 -2.963 -0.151 1898 3 4.104 1.571 0 0 4.104 1.571 4.102 1.147 1898 4 9.185 -1.275 0 0 9.185 -1.275 9.902 -0.980 1898 5 15.591 -0.998 0 0 15.591 -0.998 16.282 -0.730 1898 6 21.833 0.191 0 0 21.833 0.191 22.866 0.802 1898 7 23.548 -0.390 0 0 23.548 -0.390 23.822 -0.539 1898 8 22.151 -0.586 0 0 22.151 -0.586 22.783 -0.376 1898 9 19.500 1.184 0 0 19.500 1.184 19.915 1.177 1898 10 9.581 -2.428 0 0 9.581 -2.428 10.428 -2.003 1898 11 1.643 -2.381 0 0 1.643 -2.381 2.152 -2.295 1898 12 -5.034 -2.187 0 0 -5.034 -2.187 -4.965 -2.539 1899 1 NaN NaN NaN NaN NaN NaN -5.282 0.802 1899 2 NaN NaN NaN NaN NaN NaN -8.854 -6.043 1899 3 NaN NaN NaN NaN NaN NaN -1.656 -4.612 1899 4 NaN NaN NaN NaN NaN NaN 11.003 0.121 1899 5 NaN NaN NaN NaN NaN NaN 16.820 -0.191 1899 6 NaN NaN NaN NaN NaN NaN 22.666 0.602 1899 7 NaN NaN NaN NaN NaN NaN 23.692 -0.668 1899 8 NaN NaN NaN NaN NaN NaN 23.953 0.794 1899 9 NaN NaN NaN NaN NaN NaN 17.807 -0.931 1899 10 NaN NaN NaN NaN NaN NaN 15.441 3.011 1899 11 NaN NaN NaN NaN NaN NaN 8.108 3.661 1899 12 NaN NaN NaN NaN NaN NaN -3.366 -0.940