% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29495 % Primary Name: NEWBURG 2 NE % Record Type: TAVG % Country: United States % State: AL % Latitude: 34.51670 +/- 0.00005 % Longitude: -87.56670 +/- 0.00005 % Elevation (m): 192.00 +/- 0.05 % # of Months: 107 % % Alternate Names: NEWBURG % % IDs: coop - 15847 % ghcnd - USC00015847 % ncdc - 20000304 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 977aed02c7f9641b8d0f66d12fbed205 % Raw Data Hash: 392fdad6cfd056340e0782ae6dda3890 % Adj Data Hash: 06f5068c285e4469411066c661febe86 % % 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 1890 11 NaN NaN NaN NaN NaN NaN 11.707 1.661 1890 12 NaN NaN NaN NaN NaN NaN 6.831 0.980 1891 1 NaN NaN NaN NaN NaN NaN 4.144 0.018 1891 2 NaN NaN NaN NaN NaN NaN 8.804 2.676 1891 3 NaN NaN NaN NaN NaN NaN 8.340 -2.189 1891 4 NaN NaN NaN NaN NaN NaN 16.493 0.445 1891 5 NaN NaN NaN NaN NaN NaN 18.869 -1.500 1891 6 NaN NaN NaN NaN NaN NaN 25.213 0.846 1891 7 NaN NaN NaN NaN NaN NaN 24.109 -2.090 1891 8 NaN NaN NaN NaN NaN NaN 23.945 -1.781 1891 9 NaN NaN NaN NaN NaN NaN 22.104 -0.419 1891 10 NaN NaN NaN NaN NaN NaN 14.033 -1.800 1891 11 8.194 -2.701 1 0 NaN NaN 9.288 -0.758 1891 12 9.695 2.995 0 0 9.610 2.910 7.951 2.100 1892 1 3.566 -1.409 0 0 3.499 -1.476 1.010 -3.116 1892 2 10.651 3.675 0 0 10.560 3.583 8.247 2.120 1892 3 9.373 -2.005 0 0 9.301 -2.077 7.892 -2.636 1892 4 17.037 0.140 0 0 17.034 0.137 16.320 0.272 1892 5 20.204 -1.014 0 0 20.217 -1.001 19.474 -0.895 1892 6 24.980 -0.236 0 0 24.947 -0.269 24.409 0.042 1892 7 24.667 -2.381 0 0 24.633 -2.415 24.651 -1.548 1892 8 24.857 -1.719 0 0 24.878 -1.698 24.530 -1.196 1892 9 20.222 -3.151 0 0 20.238 -3.135 20.366 -2.158 1892 10 17.401 0.719 0 0 17.331 0.648 15.783 -0.050 1892 11 10.815 -0.080 0 0 10.697 -0.198 9.213 -0.832 1892 12 5.860 -0.840 0 0 5.775 -0.925 4.585 -1.266 1893 1 3.172 -1.803 0 0 3.105 -1.871 1.077 -3.049 1893 2 8.642 1.665 0 0 8.551 1.574 6.915 0.787 1893 3 10.370 -1.007 0 0 10.299 -1.079 9.218 -1.311 1893 4 18.008 1.111 0 0 18.005 1.108 17.747 1.699 1893 5 19.808 -1.410 0 0 19.822 -1.397 19.003 -1.366 1893 6 23.889 -1.327 0 0 23.856 -1.360 23.669 -0.698 1893 7 27.663 0.615 0 0 27.629 0.581 26.520 0.321 1893 8 25.364 -1.211 0 0 25.385 -1.190 24.840 -0.886 1893 9 20.150 -3.223 0 0 20.165 -3.208 21.681 -0.843 1893 10 15.926 -0.757 0 0 15.855 -0.828 14.372 -1.462 1893 11 9.907 -0.988 0 0 9.790 -1.105 9.011 -1.035 1893 12 7.685 0.985 0 0 7.600 0.900 6.195 0.344 1894 1 8.315 3.340 0 0 8.248 3.273 6.176 2.050 1894 2 5.813 -1.163 0 0 5.722 -1.255 4.447 -1.681 1894 3 13.172 1.794 0 0 13.100 1.722 12.040 1.511 1894 4 16.284 -0.614 0 0 16.281 -0.616 16.162 0.114 1894 5 20.538 -0.681 0 0 20.551 -0.667 19.674 -0.696 1894 6 24.963 -0.253 0 0 24.930 -0.286 24.119 -0.248 1894 7 24.713 -2.335 0 0 24.679 -2.369 24.440 -1.759 1894 8 24.857 -1.719 0 0 24.878 -1.698 24.573 -1.153 1894 9 22.816 -0.557 0 0 22.832 -0.541 22.616 0.093 1894 10 16.953 0.271 0 0 16.883 0.200 15.183 -0.651 1894 11 9.630 -1.265 0 0 9.512 -1.383 8.219 -1.827 1894 12 7.652 0.952 0 0 7.567 0.867 6.342 0.491 1895 1 4.283 -0.692 0 0 4.216 -0.760 2.520 -1.607 1895 2 1.091 -5.885 0 0 1.000 -5.977 -0.295 -6.423 1895 3 11.398 0.020 0 0 11.326 -0.052 9.909 -0.620 1895 4 16.628 -0.269 0 0 16.626 -0.272 16.239 0.191 1895 5 19.427 -1.792 0 0 19.440 -1.779 18.818 -1.551 1895 6 24.241 -0.975 0 0 24.207 -1.008 24.294 -0.073 1895 7 24.867 -2.181 0 0 24.833 -2.215 24.845 -1.354 1895 8 25.594 -0.981 0 0 25.615 -0.960 25.343 -0.383 1895 9 24.359 0.986 0 0 24.374 1.002 24.458 1.935 1895 10 13.370 -3.312 0 0 13.300 -3.383 12.525 -3.308 1895 11 11.132 0.237 0 0 11.014 0.119 9.923 -0.123 1895 12 6.746 0.046 0 0 6.661 -0.039 5.516 -0.335 1896 1 5.389 0.413 0 0 5.322 0.346 3.649 -0.478 1896 2 7.644 0.667 0 0 7.552 0.576 5.646 -0.482 1896 3 10.352 -1.026 0 0 10.280 -1.098 8.495 -2.033 1896 4 NaN NaN NaN NaN NaN NaN 18.954 2.906 1896 5 23.374 2.156 0 0 23.388 2.169 23.019 2.650 1896 6 23.889 -1.327 0 0 23.856 -1.360 23.646 -0.720 1896 7 26.815 -0.233 0 0 26.781 -0.267 26.402 0.203 1896 8 27.060 0.485 1 0 NaN NaN 26.629 0.902 1896 9 24.383 1.010 0 0 24.398 1.025 22.693 0.169 1896 10 15.630 -1.053 1 0 NaN NaN 14.633 -1.200 1896 11 12.077 1.182 1 0 NaN NaN 11.484 1.438 1896 12 6.370 -0.330 0 0 6.285 -0.415 5.902 0.051 1897 1 3.602 -1.373 0 0 3.535 -1.441 2.345 -1.781 1897 2 9.742 2.765 0 0 9.651 2.674 7.533 1.405 1897 3 13.423 2.045 0 0 13.351 1.973 12.476 1.948 1897 4 15.870 -1.027 0 0 15.868 -1.030 15.388 -0.660 1897 5 18.154 -3.064 0 0 18.167 -3.051 18.290 -2.079 1897 6 25.812 0.596 0 0 25.779 0.563 25.566 1.199 1897 7 27.551 0.503 0 0 27.517 0.469 26.483 0.284 1897 8 25.380 -1.195 0 0 25.401 -1.174 25.189 -0.537 1897 9 24.622 1.249 0 0 24.638 1.265 23.866 1.342 1897 10 NaN NaN NaN NaN NaN NaN 17.831 1.998 1897 11 12.603 1.708 1 0 NaN NaN 10.500 0.454 1897 12 NaN NaN NaN NaN NaN NaN 6.113 0.262 1898 1 NaN NaN NaN NaN NaN NaN 6.924 2.798 1898 2 NaN NaN NaN NaN NaN NaN 4.932 -1.195 1898 3 NaN NaN NaN NaN NaN NaN 13.005 2.476 1898 4 14.349 -2.548 0 0 14.346 -2.551 13.114 -2.934 1898 5 21.559 0.341 0 0 21.572 0.354 21.317 0.948 1898 6 26.833 1.617 0 0 26.800 1.584 25.684 1.317 1898 7 26.864 -0.184 0 0 26.830 -0.218 25.795 -0.404 1898 8 26.797 0.222 0 0 26.818 0.243 25.311 -0.415 1898 9 NaN NaN NaN NaN NaN NaN 23.717 1.193 1898 10 NaN NaN NaN NaN NaN NaN 14.059 -1.774 1898 11 NaN NaN NaN NaN NaN NaN 8.130 -1.916 1898 12 NaN NaN NaN NaN NaN NaN 4.003 -1.848 1899 1 4.373 -0.603 0 0 4.305 -0.670 3.378 -0.748 1899 2 1.218 -5.759 0 0 1.127 -5.850 -0.160 -6.288 1899 3 10.215 -1.163 0 0 10.143 -1.235 9.775 -0.754 1899 4 15.111 -1.786 0 0 15.108 -1.789 15.018 -1.030 1899 5 24.014 2.796 0 0 24.027 2.809 22.663 2.294 1899 6 26.889 1.673 0 0 26.856 1.640 25.635 1.268 1899 7 27.348 0.300 0 0 27.314 0.266 25.969 -0.230 1899 8 27.204 0.629 0 0 27.225 0.650 26.735 1.009 1899 9 20.815 -2.558 0 0 20.830 -2.543 21.587 -0.937 1899 10 18.313 1.630 0 0 18.242 1.559 17.297 1.463 1899 11 NaN NaN NaN NaN NaN NaN 11.500 1.454 1899 12 3.667 -3.033 0 0 3.581 -3.119 4.106 -1.745 1900 1 NaN NaN NaN NaN NaN NaN 3.917 -0.209 1900 2 NaN NaN NaN NaN NaN NaN 3.317 -2.811 1900 3 NaN NaN NaN NaN NaN NaN 8.910 -1.619 1900 4 NaN NaN NaN NaN NaN NaN 15.990 -0.058 1900 5 NaN NaN NaN NaN NaN NaN 19.936 -0.433 1900 6 NaN NaN NaN NaN NaN NaN 23.629 -0.738 1900 7 NaN NaN NaN NaN NaN NaN 25.781 -0.418 1900 8 NaN NaN NaN NaN NaN NaN 26.832 1.106 1900 9 NaN NaN NaN NaN NaN NaN 24.945 2.422 1900 10 NaN NaN NaN NaN NaN NaN 18.206 2.372 1900 11 NaN NaN NaN NaN NaN NaN 10.389 0.343 1900 12 NaN NaN NaN NaN NaN NaN 5.836 -0.015 1901 1 NaN NaN NaN NaN NaN NaN 4.713 0.586 1901 2 NaN NaN NaN NaN NaN NaN 3.071 -3.056 1901 3 NaN NaN NaN NaN NaN NaN 9.918 -0.611 1901 4 14.911 -1.986 0 2 14.925 -1.973 12.901 -3.147 1901 5 19.481 -1.737 0 0 19.418 -1.800 18.847 -1.522 1901 6 25.185 -0.031 0 0 25.346 0.130 25.136 0.769 1901 7 27.574 0.526 0 0 27.738 0.690 27.630 1.431 1901 8 24.981 -1.594 0 0 24.880 -1.695 24.628 -1.098 1901 9 18.295 -5.078 0 0 18.221 -5.152 20.847 -1.677 1901 10 NaN NaN NaN NaN NaN NaN 15.027 -0.807 1901 11 NaN NaN NaN NaN NaN NaN 7.418 -2.628 1901 12 4.226 -2.474 0 0 4.637 -2.063 2.852 -2.999 1902 1 NaN NaN NaN NaN NaN NaN 2.880 -1.246 1902 2 2.698 -4.278 0 0 3.139 -3.838 0.822 -5.306 1902 3 11.611 0.233 0 0 11.957 0.579 10.536 0.008 1902 4 16.032 -0.865 0 0 16.045 -0.852 15.254 -0.794 1902 5 NaN NaN NaN NaN NaN NaN 22.886 2.517 1902 6 NaN NaN NaN NaN NaN NaN 25.579 1.212 1902 7 NaN NaN NaN NaN NaN NaN 27.110 0.911 1902 8 27.315 0.740 1 0 NaN NaN 26.167 0.441 1902 9 21.111 -2.262 0 0 21.037 -2.336 21.373 -1.151 1902 10 16.185 -0.498 0 0 16.526 -0.157 15.747 -0.086 1902 11 13.667 2.772 0 0 14.234 3.339 12.919 2.873 1902 12 5.111 -1.589 0 0 5.522 -1.178 4.868 -0.983 1903 1 4.841 -0.134 0 0 5.166 0.190 3.734 -0.393 1903 2 6.358 -0.619 0 0 6.798 -0.179 5.701 -0.426 1903 3 NaN NaN NaN NaN NaN NaN 13.009 2.480 1903 4 16.241 -0.656 0 0 16.254 -0.643 14.877 -1.171 1903 5 15.972 -5.246 1 0 NaN NaN 19.638 -0.731 1903 6 22.092 -3.124 1 0 NaN NaN 21.126 -3.241 1903 7 NaN NaN NaN NaN NaN NaN 25.757 -0.442 1903 8 NaN NaN NaN NaN NaN NaN 25.708 -0.018 1903 9 NaN NaN NaN NaN NaN NaN 21.866 -0.657 1903 10 NaN NaN NaN NaN NaN NaN 15.512 -0.321 1903 11 NaN NaN NaN NaN NaN NaN 8.312 -1.734 1903 12 NaN NaN NaN NaN NaN NaN 2.644 -3.207 1904 1 NaN NaN NaN NaN NaN NaN 2.341 -1.785 1904 2 NaN NaN NaN NaN NaN NaN 6.226 0.098 1904 3 NaN NaN NaN NaN NaN NaN 11.735 1.206 1904 4 NaN NaN NaN NaN NaN NaN 13.364 -2.684 1904 5 NaN NaN NaN NaN NaN NaN 19.085 -1.284 1904 6 NaN NaN NaN NaN NaN NaN 24.227 -0.140