% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33035 % Primary Name: EDWARDSVILLE % Record Type: TAVG % Country: United States % State: IN % Latitude: 38.28330 +/- 0.00005 % Longitude: -85.90000 +/- 0.00005 % Elevation (m): 226.76 +/- 110.45 % # of Months: 86 % % Alternate Names: Missing Station ID - 122554 % % IDs: coop - 122554 % ghcnd - USC00122554 % ncdc - 20006115 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2589b8b8bbfac0b0236cd71c119edb0d % Raw Data Hash: 47fc7d03424e198f548adbc511b91879 % Adj Data Hash: 435c27ca1acf9e734fe82114b6b4d3fb % % 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 1893 11 NaN NaN NaN NaN NaN NaN 6.307 -1.263 1893 12 NaN NaN NaN NaN NaN NaN 3.042 0.433 1894 1 NaN NaN NaN NaN NaN NaN 2.903 2.647 1894 2 NaN NaN NaN NaN NaN NaN 1.136 -1.031 1894 3 NaN NaN NaN NaN NaN NaN 9.807 2.478 1894 4 NaN NaN NaN NaN NaN NaN 12.986 -0.423 1894 5 NaN NaN NaN NaN NaN NaN 17.160 -1.181 1894 6 NaN NaN NaN NaN NaN NaN 23.416 0.668 1894 7 NaN NaN NaN NaN NaN NaN 23.967 -0.793 1894 8 NaN NaN NaN NaN NaN NaN 24.330 0.218 1894 9 NaN NaN NaN NaN NaN NaN 21.978 1.330 1894 10 NaN NaN NaN NaN NaN NaN 13.549 -0.253 1894 11 6.000 -2.396 0 0 6.000 -2.396 5.747 -1.823 1894 12 3.833 0.399 0 0 3.833 0.399 3.032 0.423 1895 1 -2.000 -3.082 0 0 -2.000 -3.082 -2.342 -2.598 1895 2 -3.833 -6.826 0 0 -3.833 -6.826 -4.706 -6.872 1895 3 6.222 -1.933 0 0 6.222 -1.933 6.359 -0.970 1895 4 15.333 1.099 0 0 15.333 1.099 13.836 0.427 1895 5 18.333 -0.834 0 0 18.333 -0.834 17.038 -1.303 1895 6 23.889 0.316 0 0 23.889 0.316 23.733 0.985 1895 7 23.889 -1.697 0 0 23.889 -1.697 23.102 -1.658 1895 8 25.333 0.396 0 0 25.333 0.396 24.051 -0.060 1895 9 23.111 1.638 0 0 23.111 1.638 22.700 2.053 1895 10 11.222 -3.405 0 0 11.222 -3.405 10.163 -3.638 1895 11 7.111 -1.285 0 0 7.111 -1.285 7.309 -0.261 1895 12 NaN NaN NaN NaN NaN NaN 3.221 0.612 1896 1 1.444 0.363 0 0 1.444 0.363 0.970 0.715 1896 2 2.111 -0.881 0 0 2.111 -0.881 1.620 -0.547 1896 3 3.556 -4.599 0 0 3.556 -4.599 4.104 -3.225 1896 4 18.000 3.766 0 0 18.000 3.766 17.390 3.982 1896 5 22.667 3.500 0 0 22.667 3.500 21.205 2.863 1896 6 23.611 0.038 0 0 23.611 0.038 22.550 -0.197 1896 7 25.722 0.136 0 0 25.722 0.136 24.543 -0.217 1896 8 25.333 0.396 0 0 25.333 0.396 24.260 0.148 1896 9 20.444 -1.029 0 0 20.444 -1.029 20.005 -0.643 1896 10 NaN NaN NaN NaN NaN NaN 11.965 -1.837 1896 11 9.333 0.937 0 0 9.333 0.937 9.373 1.802 1896 12 4.611 1.177 0 0 4.611 1.177 3.571 0.962 1897 1 -0.944 -2.026 0 0 -0.944 -2.026 -1.529 -1.785 1897 2 3.000 0.007 0 0 3.000 0.007 2.717 0.550 1897 3 8.556 0.401 0 0 8.556 0.401 8.897 1.568 1897 4 12.667 -1.567 0 0 12.667 -1.567 12.705 -0.704 1897 5 16.778 -2.389 0 0 16.778 -2.389 15.380 -2.962 1897 6 23.778 0.205 0 0 23.778 0.205 22.611 -0.137 1897 7 25.889 0.303 0 0 25.889 0.303 24.943 0.182 1897 8 24.778 -0.159 0 0 24.778 -0.159 23.562 -0.550 1897 9 24.222 2.749 0 0 24.222 2.749 22.182 1.534 1897 10 18.556 3.928 0 0 18.556 3.928 16.515 2.713 1897 11 NaN NaN NaN NaN NaN NaN 8.218 0.648 1897 12 2.556 -0.879 0 0 2.556 -0.879 2.841 0.233 1898 1 NaN NaN NaN NaN NaN NaN 3.010 2.754 1898 2 NaN NaN NaN NaN NaN NaN 1.697 -0.470 1898 3 NaN NaN NaN NaN NaN NaN 9.675 2.346 1898 4 NaN NaN NaN NaN NaN NaN 10.795 -2.614 1898 5 NaN NaN NaN NaN NaN NaN 18.859 0.518 1898 6 NaN NaN NaN NaN NaN NaN 23.917 1.169 1898 7 NaN NaN NaN NaN NaN NaN 25.034 0.274 1898 8 NaN NaN NaN NaN NaN NaN 24.388 0.277 1898 9 NaN NaN NaN NaN NaN NaN 22.744 2.097 1898 10 NaN NaN NaN NaN NaN NaN 13.172 -0.630 1898 11 6.611 -1.785 0 0 6.611 -1.785 5.790 -1.780 1898 12 NaN NaN NaN NaN NaN NaN 0.466 -2.142 1899 1 1.167 0.085 0 0 1.167 0.085 0.063 -0.193 1899 2 -3.000 -5.993 0 0 -3.000 -5.993 -4.227 -6.394 1899 3 6.056 -2.099 0 0 6.056 -2.099 6.148 -1.181 1899 4 14.222 -0.012 0 0 14.222 -0.012 13.789 0.381 1899 5 20.889 1.722 0 0 20.889 1.722 19.684 1.342 1899 6 25.278 1.705 0 0 25.278 1.705 24.107 1.359 1899 7 24.944 -0.641 0 0 24.944 -0.641 24.576 -0.185 1899 8 26.333 1.396 0 0 26.333 1.396 24.961 0.849 1899 9 20.444 -1.029 0 0 20.444 -1.029 20.395 -0.252 1899 10 17.667 3.039 0 0 17.667 3.039 15.625 1.823 1899 11 10.722 2.326 0 0 10.722 2.326 9.530 1.959 1899 12 1.556 -1.879 0 0 1.556 -1.879 0.982 -1.626 1900 1 3.000 1.918 0 0 3.000 1.918 1.569 1.313 1900 2 -0.333 -3.326 0 0 -0.333 -3.326 -1.154 -3.321 1900 3 4.944 -3.210 0 0 4.944 -3.210 5.026 -2.304 1900 4 13.889 -0.345 0 0 13.889 -0.345 13.069 -0.339 1900 5 20.222 1.055 0 0 20.222 1.055 18.307 -0.035 1900 6 23.889 0.316 0 0 23.889 0.316 22.950 0.203 1900 7 25.333 -0.252 0 0 25.333 -0.252 24.959 0.199 1900 8 27.556 2.619 0 0 27.556 2.619 26.359 2.248 1900 9 24.000 2.527 0 0 24.000 2.527 23.436 2.788 1900 10 19.000 4.373 0 0 19.000 4.373 17.296 3.494 1900 11 8.278 -0.118 0 0 8.278 -0.118 7.717 0.147 1900 12 3.778 0.343 0 0 3.778 0.343 2.951 0.342 1901 1 2.167 1.085 0 0 2.167 1.085 1.073 0.817 1901 2 -0.722 -3.715 0 0 -0.722 -3.715 -1.366 -3.533 1901 3 7.778 -0.377 0 0 7.778 -0.377 7.410 0.081 1901 4 11.222 -3.012 0 0 11.222 -3.012 9.928 -3.481 1901 5 18.000 -1.167 0 0 18.000 -1.167 16.785 -1.556 1901 6 24.611 1.038 0 0 24.611 1.038 23.698 0.950 1901 7 27.444 1.859 0 0 27.444 1.859 27.199 2.438 1901 8 24.833 -0.104 0 0 24.833 -0.104 23.731 -0.380 1901 9 NaN NaN NaN NaN NaN NaN 19.960 -0.688 1901 10 NaN NaN NaN NaN NaN NaN 13.495 -0.307 1901 11 NaN NaN NaN NaN NaN NaN 4.611 -2.959 1901 12 NaN NaN NaN NaN NaN NaN -0.646 -3.255 1902 1 0.278 -0.804 0 0 0.278 -0.804 -0.490 -0.746 1902 2 -1.889 -4.881 0 0 -1.889 -4.881 -3.839 -6.006 1902 3 8.444 0.290 0 0 8.444 0.290 7.740 0.410 1902 4 12.778 -1.456 0 0 12.778 -1.456 11.885 -1.523 1902 5 21.444 2.277 0 0 21.444 2.277 20.152 1.811 1902 6 22.778 -0.795 0 0 22.778 -0.795 22.370 -0.377 1902 7 26.000 0.414 0 0 26.000 0.414 24.869 0.109 1902 8 23.889 -1.048 0 0 23.889 -1.048 23.365 -0.747 1902 9 19.944 -1.529 0 0 19.944 -1.529 19.406 -1.242 1902 10 15.833 1.206 0 0 15.833 1.206 14.609 0.808 1902 11 12.444 4.049 0 0 12.444 4.049 11.356 3.785 1902 12 2.278 -1.157 0 0 2.278 -1.157 1.775 -0.834 1903 1 0.500 -0.582 0 0 0.500 -0.582 -0.304 -0.560 1903 2 2.000 -0.993 0 0 2.000 -0.993 1.585 -0.581 1903 3 11.222 3.067 0 0 11.222 3.067 10.504 3.175 1903 4 13.944 -0.290 0 0 13.944 -0.290 12.663 -0.746 1903 5 21.111 1.944 0 0 21.111 1.944 19.422 1.081 1903 6 21.056 -2.517 0 0 21.056 -2.517 20.072 -2.675 1903 7 NaN NaN NaN NaN NaN NaN 24.690 -0.070 1903 8 NaN NaN NaN NaN NaN NaN 23.417 -0.694 1903 9 NaN NaN NaN NaN NaN NaN 20.555 -0.092 1903 10 NaN NaN NaN NaN NaN NaN 13.412 -0.390 1903 11 NaN NaN NaN NaN NaN NaN 5.186 -2.384 1903 12 NaN NaN NaN NaN NaN NaN -1.631 -4.240 1904 1 NaN NaN NaN NaN NaN NaN -1.556 -1.812 1904 2 NaN NaN NaN NaN NaN NaN 0.039 -2.128 1904 3 NaN NaN NaN NaN NaN NaN 7.871 0.542 1904 4 NaN NaN NaN NaN NaN NaN 10.124 -3.284 1904 5 NaN NaN NaN NaN NaN NaN 17.640 -0.702 1904 6 NaN NaN NaN NaN NaN NaN 22.533 -0.215