% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35141 % Primary Name: MOUNT PULASKI % Record Type: TAVG % Country: United States % State: IL % Latitude: 40.01622 +/- 0.00877 % Longitude: -89.28333 +/- 0.00833 % Elevation (m): 193.50 +/- 0.05 % # of Months: 149 % % Alternate Names: MT PULASKI % % IDs: coop - 115927 % ghcnd - USC00115927 % ncdc - 20005754 % nws - MTPI2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 87d21fc08394b574e2df1dbb40f693d7 % Raw Data Hash: 754a30aad2a8f10f897d2e48e67ea7fb % Adj Data Hash: b3879b57876edaf4d1277b195d2f3405 % % 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 6 NaN NaN NaN NaN NaN NaN 23.309 0.336 1892 7 NaN NaN NaN NaN NaN NaN 23.697 -1.294 1892 8 NaN NaN NaN NaN NaN NaN 23.453 -0.420 1892 9 NaN NaN NaN NaN NaN NaN 19.473 -0.699 1892 10 NaN NaN NaN NaN NaN NaN 13.720 0.158 1892 11 NaN NaN NaN NaN NaN NaN 3.048 -3.159 1892 12 NaN NaN NaN NaN NaN NaN -1.792 -1.886 1893 1 NaN NaN NaN NaN NaN NaN -8.476 -5.403 1893 2 NaN NaN NaN NaN NaN NaN -3.257 -2.967 1893 3 NaN NaN NaN NaN NaN NaN 3.979 -1.244 1893 4 NaN NaN NaN NaN NaN NaN 11.864 -0.528 1893 5 NaN NaN NaN NaN NaN NaN 15.917 -2.024 1893 6 22.537 -0.356 0 0 22.537 -0.356 22.917 -0.057 1893 7 25.251 0.339 0 0 25.251 0.339 25.678 0.686 1893 8 22.536 -1.258 1 0 NaN NaN 22.883 -0.991 1893 9 20.685 0.594 0 0 20.685 0.594 21.227 1.056 1893 10 13.978 0.497 0 0 13.978 0.497 13.263 -0.299 1893 11 4.060 -2.067 0 0 4.060 -2.067 4.846 -1.361 1893 12 -0.699 -0.713 0 0 -0.699 -0.713 -0.045 -0.140 1894 1 -0.842 2.311 0 0 -0.842 2.311 -1.193 1.880 1894 2 NaN NaN NaN NaN NaN NaN -2.664 -2.375 1894 3 8.477 3.333 0 0 8.477 3.333 8.111 2.887 1894 4 NaN NaN NaN NaN NaN NaN 12.799 0.407 1894 5 16.724 -1.137 0 0 16.724 -1.137 16.939 -1.002 1894 6 24.089 1.196 0 0 24.089 1.196 24.365 1.391 1894 7 24.946 0.035 0 0 24.946 0.035 24.785 -0.207 1894 8 23.584 -0.210 0 0 23.584 -0.210 23.912 0.038 1894 9 20.403 0.312 0 0 20.403 0.312 20.267 0.096 1894 10 13.602 0.120 0 0 13.602 0.120 13.625 0.063 1894 11 3.630 -2.497 0 0 3.630 -2.497 3.719 -2.488 1894 12 1.382 1.368 0 0 1.382 1.368 1.784 1.689 1895 1 -6.500 -3.347 0 0 -6.500 -3.347 -6.383 -3.310 1895 2 -7.704 -7.334 0 0 -7.704 -7.334 -6.585 -6.295 1895 3 4.104 -1.040 0 0 4.104 -1.040 4.260 -0.964 1895 4 12.444 0.133 0 0 12.444 0.133 13.530 1.138 1895 5 18.172 0.311 0 0 18.172 0.311 17.810 -0.131 1895 6 24.130 1.236 0 0 24.130 1.236 24.237 1.264 1895 7 22.993 -1.919 0 0 22.993 -1.919 23.359 -1.632 1895 8 24.409 0.615 0 0 24.409 0.615 23.964 0.090 1895 9 22.452 2.361 0 0 22.452 2.361 22.027 1.855 1895 10 10.519 -2.963 0 0 10.519 -2.963 10.044 -3.518 1895 11 4.481 -1.646 0 0 4.481 -1.646 4.696 -1.511 1895 12 0.717 0.702 0 0 0.717 0.702 1.049 0.954 1896 1 -1.183 1.970 0 0 -1.183 1.970 -1.412 1.661 1896 2 -0.192 0.178 0 0 -0.192 0.178 0.092 0.381 1896 3 2.534 -2.610 0 0 2.534 -2.610 2.489 -2.735 1896 4 15.630 3.318 0 0 15.630 3.318 16.428 4.036 1896 5 21.559 3.698 0 0 21.559 3.698 21.159 3.218 1896 6 22.426 -0.467 0 0 22.426 -0.467 22.667 -0.307 1896 7 23.319 -1.592 0 0 23.319 -1.592 24.460 -0.532 1896 8 23.925 0.131 0 0 23.925 0.131 24.052 0.178 1896 9 18.429 -1.663 0 0 18.429 -1.663 18.554 -1.618 1896 10 12.321 -1.160 0 0 12.321 -1.160 11.731 -1.831 1896 11 6.073 -0.054 0 0 6.073 -0.054 5.935 -0.272 1896 12 2.079 2.064 0 0 2.079 2.064 2.493 2.399 1897 1 -4.762 -1.609 0 0 -4.762 -1.609 -4.023 -0.950 1897 2 0.337 0.707 0 0 0.337 0.707 0.123 0.412 1897 3 5.072 -0.072 0 0 5.072 -0.072 5.210 -0.013 1897 4 10.517 -1.795 0 0 10.517 -1.795 11.407 -0.984 1897 5 15.520 -2.341 0 0 15.520 -2.341 15.437 -2.504 1897 6 21.222 -1.671 0 0 21.222 -1.671 22.818 -0.156 1897 7 24.462 -0.449 0 0 24.462 -0.449 25.317 0.325 1897 8 22.186 -1.608 0 0 22.186 -1.608 22.615 -1.259 1897 9 23.074 2.983 0 0 23.074 2.983 23.028 2.857 1897 10 17.312 3.830 0 0 17.312 3.830 17.087 3.525 1897 11 5.230 -0.897 0 0 5.230 -0.897 5.781 -0.426 1897 12 -2.519 -2.533 0 0 -2.519 -2.533 -1.716 -1.811 1898 1 0.341 3.493 0 0 0.341 3.493 -0.484 2.589 1898 2 0.595 0.965 0 0 0.595 0.965 0.411 0.700 1898 3 7.165 2.021 0 0 7.165 2.021 6.684 1.461 1898 4 11.056 -1.256 0 0 11.056 -1.256 10.759 -1.633 1898 5 17.545 -0.316 0 0 17.545 -0.316 17.449 -0.492 1898 6 24.352 1.459 0 0 24.352 1.459 24.014 1.041 1898 7 25.860 0.949 0 0 25.860 0.949 24.616 -0.376 1898 8 24.355 0.561 0 0 24.355 0.561 23.725 -0.149 1898 9 21.778 1.686 0 0 21.778 1.686 21.904 1.733 1898 10 11.987 -1.495 0 0 11.987 -1.495 11.923 -1.639 1898 11 4.204 -1.923 0 0 4.204 -1.923 4.119 -2.088 1898 12 -2.406 -2.421 0 0 -2.406 -2.421 -1.965 -2.060 1899 1 -2.814 0.339 0 0 -2.814 0.339 -3.049 0.024 1899 2 -6.655 -6.286 0 0 -6.655 -6.286 -6.888 -6.599 1899 3 1.885 -3.259 0 0 1.885 -3.259 1.836 -3.388 1899 4 13.125 0.813 0 0 13.125 0.813 12.858 0.466 1899 5 18.620 0.759 0 0 18.620 0.759 18.274 0.334 1899 6 23.889 0.996 0 0 23.889 0.996 23.735 0.762 1899 7 25.251 0.339 0 0 25.251 0.339 24.496 -0.496 1899 8 26.022 2.228 0 0 26.022 2.228 24.887 1.013 1899 9 19.093 -0.999 0 0 19.093 -0.999 19.344 -0.828 1899 10 16.075 2.593 0 0 16.075 2.593 16.051 2.489 1899 11 8.574 2.447 0 0 8.574 2.447 8.820 2.613 1899 12 -1.111 -1.126 0 0 -1.111 -1.126 -1.210 -1.304 1900 1 0.502 3.655 0 0 0.502 3.655 -0.350 2.723 1900 2 -3.909 -3.539 0 0 -3.909 -3.539 -3.885 -3.596 1900 3 2.097 -3.047 0 0 2.097 -3.047 2.692 -2.531 1900 4 12.704 0.392 0 0 12.704 0.392 12.781 0.389 1900 5 19.104 1.243 0 0 19.104 1.243 18.361 0.420 1900 6 22.548 -0.345 0 0 22.548 -0.345 22.309 -0.664 1900 7 24.892 -0.019 0 0 24.892 -0.019 24.397 -0.595 1900 8 27.294 3.500 0 0 27.294 3.500 26.804 2.930 1900 9 21.685 1.594 0 0 21.685 1.594 21.810 1.639 1900 10 17.814 4.332 0 0 17.814 4.332 17.321 3.760 1900 11 5.728 -0.399 0 0 5.728 -0.399 6.297 0.090 1900 12 -0.054 -0.068 0 0 -0.054 -0.068 0.553 0.459 1901 1 0.990 4.143 1 0 NaN NaN -1.020 2.053 1901 2 -5.667 -5.297 0 0 -5.667 -5.297 -3.948 -3.659 1901 3 4.552 -0.592 0 0 4.552 -0.592 4.600 -0.623 1901 4 10.630 -1.682 0 0 10.630 -1.682 10.713 -1.678 1901 5 17.043 -0.818 0 0 17.043 -0.818 16.724 -1.217 1901 6 24.185 1.292 0 0 24.185 1.292 24.708 1.734 1901 7 28.387 3.476 0 0 28.387 3.476 28.381 3.390 1901 8 24.974 1.180 0 0 24.974 1.180 24.477 0.603 1901 9 19.980 -0.111 0 0 19.980 -0.111 20.333 0.162 1901 10 14.068 0.586 0 0 14.068 0.586 14.560 0.998 1901 11 4.315 -1.812 0 0 4.315 -1.812 4.438 -1.769 1901 12 -3.296 -3.311 0 0 -3.296 -3.311 -3.138 -3.232 1902 1 -2.867 0.285 0 0 -2.867 0.285 -3.211 -0.139 1902 2 -6.409 -6.039 0 0 -6.409 -6.039 -6.561 -6.271 1902 3 6.505 1.362 0 0 6.505 1.362 6.199 0.975 1902 4 10.315 -1.997 0 0 10.315 -1.997 11.021 -1.371 1902 5 20.161 2.300 0 0 20.161 2.300 20.178 2.237 1902 6 21.333 -1.560 0 0 21.333 -1.560 21.748 -1.225 1902 7 24.713 -0.198 0 0 24.713 -0.198 24.959 -0.032 1902 8 22.563 -1.231 0 0 22.563 -1.231 22.391 -1.483 1902 9 17.481 -2.610 0 0 17.481 -2.610 17.821 -2.350 1902 10 14.785 1.303 0 0 14.785 1.303 14.842 1.280 1902 11 9.943 3.815 0 0 9.943 3.815 9.983 3.776 1902 12 -2.240 -2.255 0 0 -2.240 -2.255 -1.397 -1.491 1903 1 -3.566 -0.413 0 0 -3.566 -0.413 -3.243 -0.170 1903 2 -2.984 -2.614 0 0 -2.984 -2.614 -2.079 -1.789 1903 3 7.975 2.831 0 0 7.975 2.831 7.585 2.362 1903 4 12.185 -0.127 0 0 12.185 -0.127 12.478 0.087 1903 5 18.781 0.920 0 0 18.781 0.920 18.683 0.742 1903 6 19.463 -3.430 0 0 19.463 -3.430 19.591 -3.382 1903 7 24.749 -0.162 0 0 24.749 -0.162 24.820 -0.172 1903 8 22.867 -0.927 0 0 22.867 -0.927 22.932 -0.942 1903 9 19.352 -0.739 0 0 19.352 -0.739 19.766 -0.405 1903 10 13.582 0.101 0 0 13.582 0.101 13.722 0.160 1903 11 3.722 -2.405 0 0 3.722 -2.405 3.959 -2.248 1903 12 -4.391 -4.405 0 0 -4.391 -4.405 -3.666 -3.760 1904 1 -6.613 -3.460 0 0 -6.613 -3.460 -6.549 -3.476 1904 2 -5.812 -5.443 1 0 NaN NaN -4.193 -3.904 1904 3 4.839 -0.305 0 0 4.839 -0.305 4.770 -0.454 1904 4 8.537 -3.775 0 0 8.537 -3.775 8.948 -3.444 1904 5 17.258 -0.603 0 0 17.258 -0.603 16.994 -0.947 1904 6 21.481 -1.412 0 0 21.481 -1.412 21.305 -1.669 1904 7 23.029 -1.883 0 0 23.029 -1.883 23.008 -1.983 1904 8 22.079 -1.715 0 0 22.079 -1.715 21.817 -2.057 1904 9 19.981 -0.110 0 0 19.981 -0.110 20.367 0.196 1904 10 13.365 -0.117 0 0 13.365 -0.117 13.533 -0.029 1904 11 6.589 0.462 0 0 6.589 0.462 6.643 0.436 1904 12 -1.111 -1.126 0 0 -1.111 -1.126 -0.643 -0.737 1905 1 -4.962 -1.809 0 0 -4.962 -1.809 -6.581 -3.508 1905 2 -7.819 -7.450 0 0 -7.819 -7.450 -6.980 -6.690 1905 3 8.100 2.956 0 0 8.100 2.956 8.304 3.081 1905 4 11.500 -0.812 0 0 11.500 -0.812 12.123 -0.269 1905 5 17.642 -0.219 0 0 17.642 -0.219 17.836 -0.105 1905 6 23.525 0.632 0 0 23.525 0.632 23.648 0.675 1905 7 23.393 -1.519 0 0 23.393 -1.519 23.219 -1.773 1905 8 24.821 1.027 0 0 24.821 1.027 24.030 0.156 1905 9 20.963 0.872 0 0 20.963 0.872 20.760 0.589 1905 10 12.957 -0.525 0 0 12.957 -0.525 12.791 -0.771 1905 11 6.074 -0.053 0 0 6.074 -0.053 6.386 0.179 1905 12 -0.842 -0.857 0 0 -0.842 -0.857 0.002 -0.092 1906 1 NaN NaN NaN NaN NaN NaN 0.064 3.137 1906 2 NaN NaN NaN NaN NaN NaN -1.787 -1.498 1906 3 NaN NaN NaN NaN NaN NaN -0.701 -5.924 1906 4 NaN NaN NaN NaN NaN NaN 14.090 1.698 1906 5 NaN NaN NaN NaN NaN NaN 18.163 0.222 1906 6 NaN NaN NaN NaN NaN NaN 21.752 -1.221 1906 7 NaN NaN NaN NaN NaN NaN 23.442 -1.550 1906 8 NaN NaN NaN NaN NaN NaN 24.606 0.732 1906 9 NaN NaN NaN NaN NaN NaN 22.213 2.042 1906 10 NaN NaN NaN NaN NaN NaN 12.949 -0.613 1906 11 NaN NaN NaN NaN NaN NaN 5.245 -0.962 1906 12 NaN NaN NaN NaN NaN NaN 0.954 0.859