% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34906 % Primary Name: ATWOOD % Record Type: TAVG % Country: United States % State: IL % Latitude: 39.80000 +/- 0.05000 % Longitude: -88.48333 +/- 0.06668 % Elevation (m): 200.88 +/- 2.92 % # of Months: 62 % % Alternate Names: Missing Station ID - 110315 % Missing Station ID - 110317 % % IDs: coop - 110315 % coop - 110317 % ghcnd - USC00110315 % ghcnd - USC00110317 % ncdc - 12001682 % ncdc - 20005728 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2412a8e6b1fac028b32be09725cbf352 % Raw Data Hash: ec283751b7aac40b3f436ed1d6bd228b % Adj Data Hash: bb30ba30f40edb207e52897e7d92a714 % % 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 -6.828 -3.755 1892 2 NaN NaN NaN NaN NaN NaN 2.190 2.479 1892 3 NaN NaN NaN NaN NaN NaN 2.689 -2.535 1892 4 NaN NaN NaN NaN NaN NaN 10.776 -1.616 1892 5 NaN NaN NaN NaN NaN NaN 15.421 -2.520 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 -10.591 -4.766 0 0 -10.591 -4.766 -8.476 -5.403 1893 2 NaN NaN NaN NaN NaN NaN -3.257 -2.967 1893 3 2.115 -0.356 0 0 2.115 -0.356 3.979 -1.244 1893 4 8.296 -1.343 0 0 8.296 -1.343 11.864 -0.528 1893 5 12.854 -2.334 0 0 12.854 -2.334 15.917 -2.024 1893 6 NaN NaN NaN NaN NaN NaN 22.917 -0.057 1893 7 24.803 2.564 0 0 24.803 2.564 25.678 0.686 1893 8 21.219 0.098 0 0 21.219 0.098 22.883 -0.991 1893 9 NaN NaN NaN NaN NaN NaN 21.227 1.056 1893 10 NaN NaN NaN NaN NaN NaN 13.263 -0.299 1893 11 1.204 -2.250 0 0 1.204 -2.250 4.846 -1.361 1893 12 NaN NaN NaN NaN NaN NaN -0.045 -0.140 1894 1 NaN NaN NaN NaN NaN NaN -1.193 1.880 1894 2 -5.456 -2.414 0 0 -5.456 -2.414 -2.664 -2.375 1894 3 5.556 3.085 0 0 5.556 3.085 8.111 2.887 1894 4 9.259 -0.380 0 0 9.259 -0.380 12.799 0.407 1894 5 NaN NaN NaN NaN NaN NaN 16.939 -1.002 1894 6 20.296 0.076 0 0 20.296 0.076 24.365 1.391 1894 7 22.115 -0.124 0 0 22.115 -0.124 24.785 -0.207 1894 8 NaN NaN NaN NaN NaN NaN 23.912 0.038 1894 9 NaN NaN NaN NaN NaN NaN 20.267 0.096 1894 10 NaN NaN NaN NaN NaN NaN 13.625 0.063 1894 11 NaN NaN NaN NaN NaN NaN 3.719 -2.488 1894 12 NaN NaN NaN NaN NaN NaN 1.784 1.689 1895 1 -7.939 -2.113 0 0 -7.939 -2.113 -6.383 -3.310 1895 2 -10.317 -7.275 0 0 -10.317 -7.275 -6.585 -6.295 1895 3 0.860 -1.611 0 0 0.860 -1.611 4.260 -0.964 1895 4 9.111 -0.528 0 0 9.111 -0.528 13.530 1.138 1895 5 20.758 5.570 1 0 NaN NaN 17.810 -0.131 1895 6 21.000 0.780 1 0 NaN NaN 24.237 1.264 1895 7 20.556 -1.683 0 0 20.556 -1.683 23.359 -1.632 1895 8 20.417 -0.704 1 0 NaN NaN 23.964 0.090 1895 9 19.056 1.637 0 0 19.056 1.637 22.027 1.855 1895 10 6.452 -4.357 0 0 6.452 -4.357 10.044 -3.518 1895 11 2.926 -0.528 0 0 2.926 -0.528 4.696 -1.511 1895 12 -1.201 1.458 0 0 -1.201 1.458 1.049 0.954 1896 1 -2.907 2.918 0 0 -2.907 2.918 -1.412 1.661 1896 2 -2.261 0.782 0 0 -2.261 0.782 0.092 0.381 1896 3 0.197 -2.274 0 0 0.197 -2.274 2.489 -2.735 1896 4 13.185 3.546 0 0 13.185 3.546 16.428 4.036 1896 5 19.247 4.059 0 0 19.247 4.059 21.159 3.218 1896 6 20.093 -0.128 0 0 20.093 -0.128 22.667 -0.307 1896 7 21.792 -0.447 0 0 21.792 -0.447 24.460 -0.532 1896 8 23.350 2.229 1 0 NaN NaN 24.052 0.178 1896 9 15.463 -1.955 0 0 15.463 -1.955 18.554 -1.618 1896 10 8.370 -2.439 0 0 8.370 -2.439 11.731 -1.831 1896 11 3.685 0.231 0 0 3.685 0.231 5.935 -0.272 1896 12 -0.161 2.497 0 0 -0.161 2.497 2.493 2.399 1897 1 -6.326 -0.500 0 0 -6.326 -0.500 -4.023 -0.950 1897 2 -2.024 1.019 0 0 -2.024 1.019 0.123 0.412 1897 3 2.671 0.200 1 0 NaN NaN 5.210 -0.013 1897 4 8.444 -1.195 0 0 8.444 -1.195 11.407 -0.984 1897 5 13.011 -2.177 0 0 13.011 -2.177 15.437 -2.504 1897 6 19.685 -0.535 0 0 19.685 -0.535 22.818 -0.156 1897 7 21.756 -0.482 0 0 21.756 -0.482 25.317 0.325 1897 8 18.548 -2.573 0 0 18.548 -2.573 22.615 -1.259 1897 9 17.241 -0.178 0 0 17.241 -0.178 23.028 2.857 1897 10 11.720 0.912 0 0 11.720 0.912 17.087 3.525 1897 11 3.148 -0.306 0 0 3.148 -0.306 5.781 -0.426 1897 12 NaN NaN NaN NaN NaN NaN -1.716 -1.811 1898 1 -2.019 3.807 1 0 NaN NaN -0.484 2.589 1898 2 -1.100 1.942 1 0 NaN NaN 0.411 0.700 1898 3 4.892 2.422 0 0 4.892 2.422 6.684 1.461 1898 4 6.926 -2.713 0 0 6.926 -2.713 10.759 -1.633 1898 5 14.667 -0.521 0 0 14.667 -0.521 17.449 -0.492 1898 6 21.743 1.523 0 0 21.743 1.523 24.014 1.041 1898 7 22.921 0.683 0 0 22.921 0.683 24.616 -0.376 1898 8 22.778 1.657 0 0 22.778 1.657 23.725 -0.149 1898 9 19.278 1.859 0 0 19.278 1.859 21.904 1.733 1898 10 9.552 -1.257 0 0 9.552 -1.257 11.923 -1.639 1898 11 0.944 -2.510 0 0 0.944 -2.510 4.119 -2.088 1898 12 -4.158 -1.499 0 0 -4.158 -1.499 -1.965 -2.060 1899 1 -4.839 0.987 0 0 -4.839 0.987 -3.049 0.024 1899 2 -7.942 -4.900 1 0 NaN NaN -6.888 -6.599 1899 3 -0.161 -2.632 0 0 -0.161 -2.632 1.836 -3.388 1899 4 NaN NaN NaN NaN NaN NaN 12.858 0.466 1899 5 NaN NaN NaN NaN NaN NaN 18.274 0.334 1899 6 NaN NaN NaN NaN NaN NaN 23.735 0.762 1899 7 NaN NaN NaN NaN NaN NaN 24.496 -0.496 1899 8 NaN NaN NaN NaN NaN NaN 24.887 1.013 1899 9 NaN NaN NaN NaN NaN NaN 19.344 -0.828 1899 10 NaN NaN NaN NaN NaN NaN 16.051 2.489 1899 11 NaN NaN NaN NaN NaN NaN 8.820 2.613 1899 12 NaN NaN NaN NaN NaN NaN -1.210 -1.304 1900 1 NaN NaN NaN NaN NaN NaN -0.350 2.723 1900 2 NaN NaN NaN NaN NaN NaN -3.885 -3.596 1900 3 NaN NaN NaN NaN NaN NaN 2.692 -2.531