% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34952 % Primary Name: BEMENT % Record Type: TAVG % Country: United States % State: IL % Latitude: 39.83330 +/- 0.00005 % Longitude: -88.58330 +/- 0.00005 % Elevation (m): 210.01 +/- 0.15 % # of Months: 65 % % Alternate Names: Missing Station ID - 110591 % % IDs: coop - 110591 % ghcnd - USC00110591 % ncdc - 30002418 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 39fa55495a92843b829ae414d99146f7 % Raw Data Hash: 6a4da8d60102bbb84181cef49624126c % Adj Data Hash: 3979b0d95b4e8b8545add8152ac09033 % % 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 1906 11 NaN NaN NaN NaN NaN NaN 5.245 -0.962 1906 12 NaN NaN NaN NaN NaN NaN 0.954 0.859 1907 1 NaN NaN NaN NaN NaN NaN -0.138 2.935 1907 2 NaN NaN NaN NaN NaN NaN -0.744 -0.454 1907 3 NaN NaN NaN NaN NaN NaN 9.450 4.226 1907 4 NaN NaN NaN NaN NaN NaN 7.365 -5.027 1907 5 NaN NaN NaN NaN NaN NaN 13.975 -3.966 1907 6 NaN NaN NaN NaN NaN NaN 20.579 -2.395 1907 7 NaN NaN NaN NaN NaN NaN 24.613 -0.379 1907 8 NaN NaN NaN NaN NaN NaN 22.867 -1.007 1907 9 NaN NaN NaN NaN NaN NaN 19.497 -0.674 1907 10 NaN NaN NaN NaN NaN NaN 12.369 -1.193 1907 11 3.034 -2.990 1 0 NaN NaN 5.102 -1.105 1907 12 0.818 0.907 0 0 0.818 0.907 1.609 1.515 1908 1 -0.873 2.383 0 0 -0.873 2.383 -1.513 1.560 1908 2 -1.869 -1.396 0 0 -1.869 -1.396 -1.285 -0.996 1908 3 7.899 2.859 0 0 7.899 2.859 7.895 2.672 1908 4 11.262 -0.946 0 0 11.262 -0.946 12.101 -0.291 1908 5 17.700 -0.057 0 0 17.700 -0.057 17.812 -0.128 1908 6 21.222 -1.568 0 0 21.222 -1.568 21.841 -1.133 1908 7 24.265 -0.543 0 0 24.265 -0.543 24.170 -0.822 1908 8 23.444 -0.246 0 0 23.444 -0.246 23.663 -0.210 1908 9 21.088 1.100 0 0 21.088 1.100 21.736 1.565 1908 10 12.945 -0.433 0 0 12.945 -0.433 13.247 -0.315 1908 11 6.328 0.304 0 0 6.328 0.304 7.296 1.089 1908 12 1.149 1.238 0 0 1.149 1.238 1.502 1.407 1909 1 -0.568 2.688 0 0 -0.568 2.688 -1.962 1.110 1909 2 3.152 3.625 0 0 3.152 3.625 1.613 1.902 1909 3 5.374 0.334 0 0 5.374 0.334 4.649 -0.575 1909 4 11.258 -0.950 0 0 11.258 -0.950 11.574 -0.818 1909 5 15.672 -2.085 0 0 15.672 -2.085 16.049 -1.891 1909 6 NaN NaN NaN NaN NaN NaN 22.956 -0.018 1909 7 22.987 -1.821 0 0 22.987 -1.821 23.043 -1.948 1909 8 25.505 1.815 0 0 25.505 1.815 25.275 1.401 1909 9 18.510 -1.478 0 0 18.510 -1.478 18.934 -1.237 1909 10 10.360 -3.018 0 0 10.360 -3.018 11.545 -2.017 1909 11 10.849 4.825 0 0 10.849 4.825 11.035 4.828 1909 12 -6.027 -5.938 0 0 -6.027 -5.938 -5.348 -5.443 1910 1 -2.055 1.201 0 0 -2.055 1.201 -2.604 0.469 1910 2 -2.389 -1.916 0 0 -2.389 -1.916 -2.936 -2.646 1910 3 11.203 6.163 0 0 11.203 6.163 11.478 6.254 1910 4 10.638 -1.570 0 0 10.638 -1.570 12.253 -0.139 1910 5 14.371 -3.386 0 0 14.371 -3.386 14.673 -3.268 1910 6 21.508 -1.282 0 0 21.508 -1.282 21.457 -1.517 1910 7 24.527 -0.281 0 0 24.527 -0.281 24.292 -0.700 1910 8 22.289 -1.401 0 0 22.289 -1.401 22.527 -1.347 1910 9 19.617 -0.371 0 0 19.617 -0.371 20.175 0.004 1910 10 15.406 2.028 0 0 15.406 2.028 15.020 1.458 1910 11 3.545 -2.479 0 0 3.545 -2.479 3.851 -2.356 1910 12 -2.629 -2.540 0 0 -2.629 -2.540 -2.090 -2.185 1911 1 -0.626 2.630 0 0 -0.626 2.630 -0.873 2.200 1911 2 2.200 2.673 0 0 2.200 2.673 1.911 2.200 1911 3 5.631 0.591 0 0 5.631 0.591 5.764 0.540 1911 4 10.052 -2.156 0 0 10.052 -2.156 11.024 -1.368 1911 5 19.767 2.010 0 0 19.767 2.010 20.393 2.452 1911 6 25.054 2.264 0 0 25.054 2.264 25.231 2.258 1911 7 25.055 0.247 0 0 25.055 0.247 24.864 -0.128 1911 8 23.137 -0.553 1 0 NaN NaN 23.077 -0.797 1911 9 21.449 1.461 0 0 21.449 1.461 22.026 1.855 1911 10 12.765 -0.613 0 0 12.765 -0.613 13.157 -0.405 1911 11 3.296 -2.728 0 0 3.296 -2.728 3.019 -3.188 1911 12 1.795 1.884 0 0 1.795 1.884 1.874 1.780 1912 1 -8.806 -5.550 0 0 -8.806 -5.550 -9.521 -6.448 1912 2 -4.478 -4.005 0 0 -4.478 -4.005 -4.505 -4.216 1912 3 -0.273 -5.313 0 0 -0.273 -5.313 -0.070 -5.293 1912 4 12.260 0.052 0 0 12.260 0.052 13.126 0.734 1912 5 18.466 0.709 0 0 18.466 0.709 18.778 0.837 1912 6 20.453 -2.337 0 0 20.453 -2.337 20.785 -2.188 1912 7 NaN NaN NaN NaN NaN NaN 24.795 -0.197 1912 8 22.210 -1.480 1 0 NaN NaN 23.029 -0.845 1912 9 NaN NaN NaN NaN NaN NaN 20.953 0.782 1912 10 13.997 0.619 0 0 13.997 0.619 14.575 1.014 1912 11 5.617 -0.407 0 0 5.617 -0.407 6.575 0.368 1912 12 1.623 1.712 0 0 1.623 1.712 1.648 1.553 1913 1 -0.004 3.252 0 0 -0.004 3.252 -0.779 2.294 1913 2 -3.216 -2.743 0 0 -3.216 -2.743 -2.785 -2.495 1913 3 3.253 -1.787 0 0 3.253 -1.787 3.470 -1.754 1913 4 11.424 -0.784 0 0 11.424 -0.784 12.033 -0.359 1913 5 18.002 0.245 0 0 18.002 0.245 18.131 0.191 1913 6 23.326 0.536 1 0 NaN NaN 24.381 1.408 1913 7 NaN NaN NaN NaN NaN NaN 26.226 1.234 1913 8 NaN NaN NaN NaN NaN NaN 26.248 2.375 1913 9 NaN NaN NaN NaN NaN NaN 20.392 0.221 1913 10 NaN NaN NaN NaN NaN NaN 12.488 -1.073 1913 11 NaN NaN NaN NaN NaN NaN 9.762 3.555 1913 12 NaN NaN NaN NaN NaN NaN 3.016 2.921 1914 1 NaN NaN NaN NaN NaN NaN 0.952 4.025 1914 2 NaN NaN NaN NaN NaN NaN -5.362 -5.072 1914 3 NaN NaN NaN NaN NaN NaN 3.868 -1.356 1914 4 NaN NaN NaN NaN NaN NaN 12.376 -0.016 1914 5 NaN NaN NaN NaN NaN NaN 18.875 0.934 1914 6 NaN NaN NaN NaN NaN NaN 25.646 2.673