% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33197 % Primary Name: FRIEND GROVE % Record Type: TAVG % Country: United States % State: IL % Latitude: 38.43330 +/- 0.00005 % Longitude: -87.88330 +/- 0.00005 % Elevation (m): 146.30 +/- 0.15 % # of Months: 115 % % Alternate Names: Missing Station ID - 113270 % % IDs: coop - 113270 % ghcnd - USC00113270 % ncdc - 12001700 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 351a45966829fae333d50ab303c275b3 % Raw Data Hash: 6031e45c4a38b2e6566cdfbf83272ca3 % Adj Data Hash: 9f87acde3ecf5727fc8e14d1c2954b85 % % 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 8 NaN NaN NaN NaN NaN NaN 24.819 0.058 1894 9 NaN NaN NaN NaN NaN NaN 21.959 0.759 1894 10 NaN NaN NaN NaN NaN NaN 14.035 -0.428 1894 11 NaN NaN NaN NaN NaN NaN 5.823 -2.132 1894 12 NaN NaN NaN NaN NaN NaN 3.514 0.870 1895 1 NaN NaN NaN NaN NaN NaN -2.897 -3.003 1895 2 NaN NaN NaN NaN NaN NaN -4.456 -6.755 1895 3 NaN NaN NaN NaN NaN NaN 6.354 -1.153 1895 4 NaN NaN NaN NaN NaN NaN 14.565 0.586 1895 5 NaN NaN NaN NaN NaN NaN 18.045 -0.966 1895 6 NaN NaN NaN NaN NaN NaN 24.618 0.929 1895 7 NaN NaN NaN NaN NaN NaN 23.700 -1.918 1895 8 26.380 2.259 0 0 26.278 2.157 24.394 -0.367 1895 9 NaN NaN NaN NaN NaN NaN 22.898 1.699 1895 10 9.785 -4.038 0 0 9.713 -4.110 10.648 -3.815 1895 11 7.333 0.018 0 0 7.350 0.035 7.098 -0.858 1895 12 3.459 1.455 0 0 3.566 1.562 3.163 0.519 1896 1 1.201 1.734 0 0 1.310 1.843 0.824 0.718 1896 2 1.379 -0.280 1 0 NaN NaN 2.293 -0.006 1896 3 3.387 -3.480 0 0 3.333 -3.534 4.540 -2.968 1896 4 14.407 1.068 0 0 14.356 1.017 17.837 3.858 1896 5 18.638 0.267 0 0 18.615 0.243 21.610 2.598 1896 6 NaN NaN NaN NaN NaN NaN 22.954 -0.735 1896 7 23.280 -1.698 0 0 23.206 -1.772 25.336 -0.282 1896 8 23.172 -0.949 0 0 23.070 -1.051 25.012 0.251 1896 9 16.759 -3.800 0 0 16.652 -3.907 20.045 -1.154 1896 10 11.129 -2.694 0 0 11.057 -2.766 12.542 -1.921 1896 11 8.115 0.800 0 0 8.132 0.817 9.181 1.226 1896 12 4.283 2.279 0 0 4.391 2.387 4.096 1.452 1897 1 -0.591 -0.058 0 0 -0.482 0.051 -1.235 -1.341 1897 2 1.687 0.027 0 0 1.707 0.048 2.801 0.501 1897 3 7.401 0.534 0 0 7.347 0.480 8.593 1.085 1897 4 11.481 -1.858 0 0 11.430 -1.909 13.135 -0.844 1897 5 15.663 -2.708 0 0 15.640 -2.732 15.873 -3.139 1897 6 22.759 -0.290 0 0 22.725 -0.325 23.303 -0.386 1897 7 25.502 0.524 0 0 25.428 0.450 25.565 -0.053 1897 8 22.778 -1.343 0 0 22.675 -1.445 24.057 -0.704 1897 9 20.852 0.292 0 0 20.745 0.185 23.055 1.855 1897 10 NaN NaN NaN NaN NaN NaN 17.166 2.703 1897 11 NaN NaN NaN NaN NaN NaN 8.379 0.423 1897 12 NaN NaN NaN NaN NaN NaN 2.110 -0.534 1898 1 NaN NaN NaN NaN NaN NaN 3.119 3.012 1898 2 2.321 0.662 0 0 2.342 0.683 2.467 0.168 1898 3 9.032 2.165 0 0 8.978 2.111 9.646 2.139 1898 4 11.037 -2.302 0 0 10.986 -2.354 11.682 -2.297 1898 5 18.907 0.535 0 0 18.883 0.512 19.375 0.363 1898 6 23.019 -0.031 0 0 22.984 -0.066 24.840 1.151 1898 7 24.667 -0.311 0 0 24.593 -0.385 25.378 -0.240 1898 8 24.194 0.073 0 0 24.091 -0.029 24.575 -0.185 1898 9 21.815 1.255 0 0 21.708 1.148 22.973 1.774 1898 10 12.599 -1.224 0 0 12.527 -1.296 13.199 -1.264 1898 11 5.500 -1.816 0 0 5.517 -1.799 6.038 -1.917 1898 12 0.000 -2.004 0 0 0.108 -1.896 0.599 -2.045 1899 1 0.573 1.107 0 0 0.683 1.216 -0.011 -0.117 1899 2 -4.127 -5.786 0 0 -4.106 -5.766 -4.679 -6.978 1899 3 4.498 -2.369 0 0 4.444 -2.423 5.558 -1.949 1899 4 14.833 1.494 0 0 14.782 1.443 14.278 0.299 1899 5 19.964 1.593 0 0 19.941 1.569 19.818 0.807 1899 6 24.611 1.562 0 0 24.576 1.527 24.595 0.905 1899 7 25.484 0.506 0 0 25.410 0.432 24.863 -0.755 1899 8 25.627 1.507 0 0 25.525 1.404 25.726 0.965 1899 9 NaN NaN NaN NaN NaN NaN 20.684 -0.516 1899 10 NaN NaN NaN NaN NaN NaN 16.423 1.960 1899 11 NaN NaN NaN NaN NaN NaN 10.041 2.086 1899 12 NaN NaN NaN NaN NaN NaN 1.021 -1.623 1900 1 NaN NaN NaN NaN NaN NaN 1.797 1.691 1900 2 NaN NaN NaN NaN NaN NaN -1.201 -3.501 1900 3 NaN NaN NaN NaN NaN NaN 5.437 -2.070 1900 4 NaN NaN NaN NaN NaN NaN 13.762 -0.217 1900 5 20.448 2.077 0 0 20.425 2.053 19.049 0.038 1900 6 NaN NaN NaN NaN NaN NaN 23.222 -0.467 1900 7 NaN NaN NaN NaN NaN NaN 25.544 -0.074 1900 8 NaN NaN NaN NaN NaN NaN 27.288 2.527 1900 9 NaN NaN NaN NaN NaN NaN 23.525 2.326 1900 10 NaN NaN NaN NaN NaN NaN 17.576 3.113 1900 11 NaN NaN NaN NaN NaN NaN 8.232 0.276 1900 12 NaN NaN NaN NaN NaN NaN 3.330 0.686 1901 1 NaN NaN NaN NaN NaN NaN 1.565 1.459 1901 2 NaN NaN NaN NaN NaN NaN -1.043 -3.343 1901 3 NaN NaN NaN NaN NaN NaN 7.383 -0.124 1901 4 NaN NaN NaN NaN NaN NaN 11.128 -2.852 1901 5 NaN NaN NaN NaN NaN NaN 17.533 -1.479 1901 6 NaN NaN NaN NaN NaN NaN 25.225 1.536 1901 7 NaN NaN NaN NaN NaN NaN 28.183 2.565 1901 8 NaN NaN NaN NaN NaN NaN 24.363 -0.398 1901 9 NaN NaN NaN NaN NaN NaN 20.860 -0.339 1901 10 NaN NaN NaN NaN NaN NaN 14.603 0.140 1901 11 NaN NaN NaN NaN NaN NaN 5.802 -2.154 1901 12 NaN NaN NaN NaN NaN NaN -0.922 -3.566 1902 1 NaN NaN NaN NaN NaN NaN -0.406 -0.512 1902 2 NaN NaN NaN NaN NaN NaN -3.497 -5.796 1902 3 NaN NaN NaN NaN NaN NaN 8.296 0.789 1902 4 NaN NaN NaN NaN NaN NaN 12.607 -1.372 1902 5 NaN NaN NaN NaN NaN NaN 21.564 2.552 1902 6 NaN NaN NaN NaN NaN NaN 23.479 -0.210 1902 7 NaN NaN NaN NaN NaN NaN 25.806 0.188 1902 8 NaN NaN NaN NaN NaN NaN 24.183 -0.577 1902 9 19.207 -1.353 0 2 19.273 -1.286 19.555 -1.644 1902 10 14.932 1.109 0 0 14.977 1.154 15.536 1.073 1902 11 11.435 4.119 0 0 11.424 4.109 11.889 3.933 1902 12 0.631 -1.373 0 0 0.564 -1.440 1.618 -1.026 1903 1 -0.621 -0.087 0 0 -0.689 -0.155 -0.100 -0.206 1903 2 1.021 -0.638 0 0 1.009 -0.651 1.524 -0.775 1903 3 9.524 2.657 0 0 9.558 2.691 10.186 2.679 1903 4 12.297 -1.043 0 0 12.329 -1.011 13.394 -0.585 1903 5 19.548 1.177 0 0 19.563 1.191 19.816 0.804 1903 6 19.875 -3.174 0 0 19.897 -3.153 20.513 -3.177 1903 7 25.181 0.203 0 0 25.227 0.249 25.522 -0.096 1903 8 23.564 -0.557 0 0 23.627 -0.493 24.225 -0.536 1903 9 20.117 -0.443 0 0 20.183 -0.376 20.860 -0.339 1903 10 13.545 -0.278 0 0 13.590 -0.233 14.118 -0.345 1903 11 5.005 -2.311 0 0 4.994 -2.321 5.834 -2.122 1903 12 -2.131 -4.134 0 0 -2.198 -4.201 -1.217 -3.861 1904 1 -3.058 -2.524 0 0 -3.126 -2.592 -2.241 -2.348 1904 2 -1.632 -3.291 1 0 NaN NaN -0.313 -2.613 1904 3 6.882 0.015 0 0 6.916 0.049 7.477 -0.030 1904 4 10.047 -3.293 0 0 10.079 -3.261 10.480 -3.500 1904 5 18.140 -0.231 0 0 18.155 -0.217 18.067 -0.944 1904 6 21.683 -1.366 0 0 21.705 -1.345 22.753 -0.937 1904 7 23.692 -1.286 0 0 23.738 -1.240 23.887 -1.731 1904 8 22.760 -1.361 0 0 22.823 -1.297 23.620 -1.140 1904 9 20.645 0.086 0 0 20.712 0.152 21.825 0.625 1904 10 12.965 -0.859 0 0 13.009 -0.814 13.666 -0.797 1904 11 6.352 -0.964 0 0 6.341 -0.974 7.110 -0.846 1904 12 0.778 -1.226 0 0 0.711 -1.293 2.026 -0.618 1905 1 -3.461 -2.927 0 0 -3.529 -2.995 -3.760 -3.866 1905 2 -4.113 -5.772 0 0 -4.125 -5.785 -3.951 -6.250 1905 3 9.698 2.831 0 0 9.732 2.865 10.465 2.958 1905 4 12.827 -0.513 0 0 12.859 -0.481 13.721 -0.259 1905 5 19.168 0.796 0 0 19.182 0.811 19.782 0.771 1905 6 23.482 0.432 0 0 23.503 0.454 24.297 0.608 1905 7 23.534 -1.444 0 0 23.580 -1.398 24.080 -1.538 1905 8 23.826 -0.295 0 0 23.890 -0.231 24.601 -0.160 1905 9 20.925 0.366 0 0 20.992 0.432 21.894 0.694 1905 10 13.176 -0.647 0 0 13.221 -0.603 13.975 -0.488 1905 11 7.292 -0.024 0 0 7.281 -0.034 8.072 0.117 1905 12 1.661 -0.343 0 0 1.594 -0.410 2.255 -0.389 1906 1 3.221 3.755 0 0 3.153 3.687 2.869 2.763 1906 2 -0.523 -2.183 0 0 -0.536 -2.195 0.035 -2.265 1906 3 1.719 -5.148 0 0 1.753 -5.114 2.516 -4.991 1906 4 14.262 0.922 0 0 14.294 0.954 15.411 1.431 1906 5 18.708 0.337 0 0 18.723 0.351 18.888 -0.124 1906 6 22.483 -0.566 0 0 22.505 -0.545 23.496 -0.193 1906 7 23.960 -1.018 0 0 24.006 -0.972 24.241 -1.377 1906 8 25.097 0.976 0 0 25.161 1.040 25.336 0.575 1906 9 22.015 1.456 0 0 22.082 1.522 23.302 2.102 1906 10 13.494 -0.330 0 0 13.538 -0.285 13.880 -0.583 1906 11 6.540 -0.776 0 0 6.529 -0.786 7.419 -0.537 1906 12 3.068 1.064 0 0 3.001 0.997 3.629 0.986 1907 1 3.341 3.875 0 0 3.273 3.807 4.030 3.924 1907 2 0.982 -0.677 0 0 0.969 -0.690 1.408 -0.892 1907 3 11.385 4.518 0 0 11.419 4.552 12.329 4.822 1907 4 7.877 -5.463 0 0 7.909 -5.431 8.995 -4.984 1907 5 15.487 -2.884 0 0 15.502 -2.870 15.794 -3.217 1907 6 21.173 -1.876 0 0 21.195 -1.855 21.798 -1.892 1907 7 25.110 0.132 0 0 25.156 0.178 25.878 0.260 1907 8 23.248 -0.872 0 0 23.312 -0.809 23.910 -0.851 1907 9 19.525 -1.034 0 0 19.592 -0.968 20.729 -0.470 1907 10 12.597 -1.226 0 0 12.642 -1.182 13.035 -1.428 1907 11 5.654 -1.661 1 0 NaN NaN 6.556 -1.400 1907 12 2.898 0.895 0 0 2.831 0.828 3.524 0.881 1908 1 0.947 1.480 0 0 0.879 1.412 0.548 0.441 1908 2 NaN NaN NaN NaN NaN NaN 1.161 -1.138 1908 3 9.450 2.583 0 0 9.484 2.616 10.432 2.925 1908 4 12.887 -0.453 0 0 12.919 -0.421 14.171 0.192 1908 5 18.521 0.150 0 0 18.535 0.164 19.172 0.161 1908 6 22.662 -0.388 0 0 22.683 -0.366 23.448 -0.241 1908 7 25.097 0.119 0 0 25.143 0.165 25.153 -0.465 1908 8 24.332 0.212 0 0 24.396 0.275 24.743 -0.018 1908 9 NaN NaN NaN NaN NaN NaN 22.779 1.580 1908 10 NaN NaN NaN NaN NaN NaN 13.737 -0.726 1908 11 NaN NaN NaN NaN NaN NaN 9.155 1.200 1908 12 NaN NaN NaN NaN NaN NaN 3.961 1.317 1909 1 NaN NaN NaN NaN NaN NaN 1.388 1.282 1909 2 NaN NaN NaN NaN NaN NaN 4.463 2.164 1909 3 NaN NaN NaN NaN NaN NaN 6.807 -0.700 1909 4 NaN NaN NaN NaN NaN NaN 13.338 -0.642 1909 5 NaN NaN NaN NaN NaN NaN 17.376 -1.636 1909 6 NaN NaN NaN NaN NaN NaN 24.147 0.457 1909 7 NaN NaN NaN NaN NaN NaN 24.160 -1.458 1909 8 NaN NaN NaN NaN NaN NaN 25.577 0.816