% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35581 % Primary Name: JUDYVILLE % Record Type: TAVG % Country: United States % State: IN % Latitude: 40.38330 +/- 0.00005 % Longitude: -87.41670 +/- 0.00005 % Elevation (m): 223.40 +/- 12.61 % # of Months: 128 % % Alternate Names: Missing Station ID - 124449 % % IDs: coop - 124449 % ghcnd - USC00124449 % ncdc - 20006347 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7cafcb5af5ad049c4cb74336f3ccd90a % Raw Data Hash: 57d06dc4e0a653df99e5c97c6a25cf74 % Adj Data Hash: 7fe9828f50e679743be9059f18c182b9 % % 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 6 NaN NaN NaN NaN NaN NaN 20.777 -0.635 1906 7 NaN NaN NaN NaN NaN NaN 22.158 -1.244 1906 8 NaN NaN NaN NaN NaN NaN 23.568 1.288 1906 9 NaN NaN NaN NaN NaN NaN 20.615 2.038 1906 10 NaN NaN NaN NaN NaN NaN 11.316 -0.680 1906 11 NaN NaN NaN NaN NaN NaN 4.136 -0.467 1906 12 NaN NaN NaN NaN NaN NaN -0.829 1.087 1907 1 NaN NaN NaN NaN NaN NaN -2.799 2.373 1907 2 NaN NaN NaN NaN NaN NaN -3.670 -0.965 1907 3 NaN NaN NaN NaN NaN NaN 6.747 3.725 1907 4 NaN NaN NaN NaN NaN NaN 5.185 -4.866 1907 5 NaN NaN NaN NaN NaN NaN 12.069 -4.029 1907 6 20.500 -1.473 0 0 20.561 -1.412 19.309 -2.102 1907 7 23.833 -0.130 0 0 24.067 0.104 22.716 -0.686 1907 8 23.056 0.214 0 0 23.396 0.554 20.920 -1.359 1907 9 17.333 -1.806 0 0 17.680 -1.459 17.885 -0.692 1907 10 10.556 -2.002 0 0 10.891 -1.666 10.313 -1.683 1907 11 2.889 -2.276 0 0 3.153 -2.012 3.375 -1.228 1907 12 -0.222 1.132 0 0 -0.117 1.237 -0.807 1.109 1908 1 -1.222 3.389 0 0 -1.192 3.419 -3.389 1.784 1908 2 -2.889 -0.745 0 0 -2.734 -0.591 -4.204 -1.499 1908 3 6.667 3.083 0 0 6.947 3.363 4.964 1.942 1908 4 10.333 -0.279 0 0 10.526 -0.086 10.278 0.228 1908 5 17.056 0.397 0 0 17.089 0.430 16.196 0.099 1908 6 21.833 -0.140 0 0 21.894 -0.079 20.837 -0.574 1908 7 23.222 -0.741 0 0 23.456 -0.507 23.276 -0.126 1908 8 21.556 -1.286 0 0 21.896 -0.946 22.098 -0.181 1908 9 20.389 1.250 0 0 20.735 1.597 20.846 2.269 1908 10 12.000 -0.557 0 0 12.335 -0.222 12.375 0.380 1908 11 5.500 0.335 0 0 5.764 0.599 5.338 0.735 1908 12 -0.833 0.521 0 0 -0.728 0.626 -1.430 0.486 1909 1 -1.556 3.055 0 0 -1.525 3.086 -3.283 1.890 1909 2 0.889 3.032 0 0 1.044 3.187 -0.575 2.130 1909 3 3.667 0.083 0 0 3.947 0.363 2.304 -0.718 1909 4 9.778 -0.834 0 0 9.970 -0.642 8.809 -1.241 1909 5 15.111 -1.548 0 0 15.144 -1.514 14.199 -1.898 1909 6 21.278 -0.695 0 0 21.338 -0.635 21.149 -0.262 1909 7 21.333 -2.630 0 0 21.567 -2.396 21.644 -1.758 1909 8 23.333 0.492 0 0 23.673 0.832 23.159 0.879 1909 9 16.944 -2.194 0 0 17.291 -1.848 17.228 -1.350 1909 10 7.611 -4.946 0 0 7.946 -4.611 9.307 -2.689 1909 11 9.778 4.613 0 0 10.042 4.877 9.268 4.665 1909 12 -6.833 -5.479 0 0 -6.728 -5.374 -6.884 -4.968 1910 1 -2.500 2.111 0 0 -2.470 2.141 -4.998 0.175 1910 2 -3.944 -1.801 0 0 -3.790 -1.646 -4.671 -1.966 1910 3 8.889 5.306 0 0 9.169 5.586 8.838 5.816 1910 4 10.611 -0.001 0 0 10.804 0.191 10.874 0.823 1910 5 12.889 -3.770 0 0 12.922 -3.737 12.755 -3.342 1910 6 19.556 -2.417 0 0 19.616 -2.357 20.248 -1.163 1910 7 23.333 -0.630 0 0 23.567 -0.396 23.697 0.295 1910 8 21.222 -1.619 0 0 21.562 -1.279 21.593 -0.687 1910 9 18.611 -0.528 0 0 18.958 -0.181 18.373 -0.204 1910 10 13.444 0.887 0 0 13.780 1.222 13.846 1.851 1910 11 1.389 -3.776 0 0 1.653 -3.512 1.977 -2.626 1910 12 -4.222 -2.868 0 0 -4.117 -2.763 -4.497 -2.581 1911 1 -1.556 3.055 0 0 -1.525 3.086 -3.237 1.936 1911 2 0.667 2.810 0 0 0.821 2.965 -0.585 2.120 1911 3 3.500 -0.083 0 0 3.780 0.197 3.108 0.087 1911 4 8.556 -2.057 0 0 8.748 -1.864 8.722 -1.329 1911 5 19.222 2.563 0 0 19.256 2.597 19.153 3.055 1911 6 22.778 0.805 0 0 22.838 0.865 22.983 1.572 1911 7 23.333 -0.630 0 0 23.567 -0.396 23.412 0.010 1911 8 20.611 -2.230 0 0 20.951 -1.890 21.613 -0.667 1911 9 20.000 0.861 0 0 20.347 1.208 19.599 1.022 1911 10 10.944 -1.613 0 0 11.280 -1.278 11.345 -0.651 1911 11 1.222 -3.943 0 0 1.486 -3.679 1.626 -2.977 1911 12 0.833 2.188 0 0 0.938 2.293 0.408 2.324 1912 1 -9.889 -5.278 0 0 -9.859 -5.248 -11.849 -6.677 1912 2 -6.667 -4.523 0 0 -6.512 -4.368 -7.013 -4.308 1912 3 -1.333 -4.917 0 0 -1.053 -4.637 -2.269 -5.291 1912 4 11.000 0.388 0 0 11.193 0.580 10.544 0.493 1912 5 17.556 0.897 0 0 17.589 0.930 16.830 0.732 1912 6 19.167 -2.806 0 0 19.227 -2.746 19.709 -1.702 1912 7 23.000 -0.964 0 0 23.234 -0.730 22.765 -0.637 1912 8 21.111 -1.730 0 0 21.451 -1.390 20.870 -1.409 1912 9 20.167 1.028 0 4 19.831 0.692 19.640 1.063 1912 10 12.667 0.110 0 0 12.342 -0.215 12.465 0.470 1912 11 5.389 0.224 0 0 5.133 -0.032 5.296 0.692 1912 12 0.389 1.743 0 0 0.287 1.641 0.095 2.011 1913 1 -0.444 4.167 0 0 -0.474 4.137 -2.502 2.671 1913 2 NaN NaN NaN NaN NaN NaN -5.246 -2.541 1913 3 2.944 -0.639 0 0 2.673 -0.910 1.659 -1.363 1913 4 10.333 -0.279 0 0 10.147 -0.466 10.229 0.178 1913 5 16.944 0.286 0 0 16.912 0.253 15.812 -0.285 1913 6 22.667 0.694 0 0 22.608 0.635 22.350 0.939 1913 7 25.111 1.148 0 0 24.884 0.921 24.180 0.778 1913 8 24.444 1.603 0 0 24.115 1.274 23.545 1.265 1913 9 18.722 -0.417 0 0 18.386 -0.753 18.403 -0.175 1913 10 12.000 -0.557 0 0 11.675 -0.882 11.622 -0.374 1913 11 8.111 2.946 0 0 7.855 2.690 7.728 3.124 1913 12 2.444 3.799 0 0 2.343 3.697 1.565 3.481 1914 1 0.778 5.389 0 0 0.748 5.359 -0.961 4.211 1914 2 -6.667 -4.523 0 0 -6.817 -4.673 -8.016 -5.311 1914 3 2.500 -1.083 0 0 2.229 -1.354 1.907 -1.115 1914 4 10.889 0.277 0 0 10.702 0.090 10.006 -0.044 1914 5 18.111 1.452 0 0 18.079 1.420 17.246 1.148 1914 6 23.889 1.916 0 0 23.830 1.857 22.683 1.272 1914 7 25.778 1.814 0 0 25.551 1.587 24.407 1.005 1914 8 23.444 0.603 0 0 23.115 0.274 22.871 0.591 1914 9 18.944 -0.194 0 0 18.609 -0.530 18.593 0.016 1914 10 14.556 1.998 0 0 14.231 1.674 14.088 2.092 1914 11 6.444 1.279 0 0 6.189 1.024 5.958 1.355 1914 12 -5.000 -3.645 0 0 -5.102 -3.747 -5.607 -3.691 1915 1 -5.333 -0.722 0 0 -5.363 -0.752 -6.740 -1.567 1915 2 2.333 4.477 0 0 2.183 4.327 0.748 3.453 1915 3 2.000 -1.583 0 0 1.729 -1.854 0.853 -2.169 1915 4 13.833 3.221 0 0 13.647 3.034 13.523 3.473 1915 5 14.833 -1.825 0 0 14.801 -1.858 13.595 -2.502 1915 6 19.778 -2.195 0 0 19.719 -2.254 19.270 -2.141 1915 7 22.278 -1.686 0 0 22.051 -1.913 21.413 -1.989 1915 8 19.389 -3.452 0 0 19.059 -3.782 18.571 -3.709 1915 9 19.778 0.639 0 0 19.442 0.303 19.448 0.871 1915 10 13.000 0.443 0 0 12.675 0.118 12.659 0.663 1915 11 7.111 1.946 0 0 6.855 1.690 6.406 1.803 1915 12 -1.833 -0.479 0 0 -1.935 -0.581 -2.773 -0.857 1916 1 -0.667 3.944 0 0 -0.696 3.915 -2.506 2.667 1916 2 -3.444 -1.301 0 0 -3.594 -1.451 -4.722 -2.017 1916 3 2.444 -1.139 0 0 2.173 -1.410 1.274 -1.748 1916 4 9.611 -1.001 0 0 9.424 -1.188 9.260 -0.791 1916 5 16.444 -0.214 0 0 16.412 -0.247 15.990 -0.107 1916 6 18.667 -3.306 0 0 18.608 -3.365 18.349 -3.062 1916 7 25.889 1.925 0 0 25.662 1.698 25.897 2.495 1916 8 25.000 2.159 0 0 24.670 1.829 23.807 1.527 1916 9 18.556 -0.583 0 0 18.220 -0.919 17.824 -0.753 1916 10 12.556 -0.002 0 0 12.231 -0.326 11.930 -0.066 1916 11 6.333 1.168 0 0 6.078 0.913 5.671 1.068 1916 12 -3.111 -1.757 0 0 -3.213 -1.859 -4.095 -2.178 1917 1 -2.111 2.500 0 0 -2.141 2.470 -4.989 0.183 1917 2 -4.389 -2.245 0 0 -4.539 -2.395 -6.763 -4.058 1917 3 4.556 0.972 0 0 4.284 0.701 3.621 0.599 1917 4 8.889 -1.723 0 0 8.702 -1.910 8.487 -1.564 1917 5 11.111 -5.548 0 0 11.079 -5.580 11.911 -4.186 1917 6 NaN NaN NaN NaN NaN NaN 19.164 -2.248 1917 7 22.111 -1.852 0 0 21.884 -2.079 22.350 -1.052 1917 8 21.444 -1.397 0 0 21.115 -1.726 20.903 -1.376 1917 9 16.833 -2.306 0 0 16.497 -2.641 17.132 -1.445 1917 10 6.000 -6.557 0 0 5.675 -6.882 7.068 -4.928 1917 11 4.167 -0.998 0 0 3.911 -1.254 5.163 0.560 1917 12 -7.444 -6.090 0 0 -7.546 -6.192 -6.719 -4.803 1918 1 -11.500 -6.889 0 0 -11.529 -6.918 -13.186 -8.014 1918 2 -1.611 0.532 0 0 -1.761 0.382 -2.967 -0.262 1918 3 9.222 5.639 0 0 8.951 5.368 6.442 3.421 1918 4 NaN NaN NaN NaN NaN NaN 7.781 -2.270 1918 5 NaN NaN NaN NaN NaN NaN 18.248 2.151 1918 6 NaN NaN NaN NaN NaN NaN 20.965 -0.447 1918 7 NaN NaN NaN NaN NaN NaN 21.638 -1.764 1918 8 NaN NaN NaN NaN NaN NaN 24.335 2.055 1918 9 NaN NaN NaN NaN NaN NaN 14.662 -3.915 1918 10 NaN NaN NaN NaN NaN NaN 13.233 1.238 1918 11 NaN NaN NaN NaN NaN NaN 5.335 0.732 1918 12 NaN NaN NaN NaN NaN NaN 2.135 4.051 1919 1 NaN NaN NaN NaN NaN NaN -2.169 3.004 1919 2 NaN NaN NaN NaN NaN NaN -1.514 1.191 1919 3 NaN NaN NaN NaN NaN NaN 4.059 1.037