% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28311 % Primary Name: THORNTON % Record Type: TAVG % Country: United States % State: MS % Latitude: 33.08330 +/- 0.00005 % Longitude: -90.33330 +/- 0.00005 % Elevation (m): 34.68 +/- 10.00 % # of Months: 114 % % Alternate Names: Missing Station ID - 228768 % % IDs: coop - 228768 % ghcnd - USC00228768 % ncdc - 20011331 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 49d4ef08af80f6da5a089fc94c6f94c0 % Raw Data Hash: ed63aeeeee23107410b3795fba78edf1 % Adj Data Hash: bbda67ba5617d08cab25646796746b3a % % 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 7 NaN NaN NaN NaN NaN NaN 26.605 -1.219 1892 8 NaN NaN NaN NaN NaN NaN 26.165 -1.102 1892 9 NaN NaN NaN NaN NaN NaN 22.408 -1.943 1892 10 NaN NaN NaN NaN NaN NaN 18.377 0.274 1892 11 NaN NaN NaN NaN NaN NaN 12.293 -0.123 1892 12 NaN NaN NaN NaN NaN NaN 7.596 -0.719 1893 1 NaN NaN NaN NaN NaN NaN 5.149 -1.561 1893 2 NaN NaN NaN NaN NaN NaN 9.786 0.955 1893 3 NaN NaN NaN NaN NaN NaN 11.763 -1.339 1893 4 NaN NaN NaN NaN NaN NaN 20.088 1.898 1893 5 NaN NaN NaN NaN NaN NaN 21.796 -0.749 1893 6 NaN NaN NaN NaN NaN NaN 26.038 -0.262 1893 7 28.961 -0.259 0 0 28.961 -0.259 27.775 -0.049 1893 8 27.294 -1.368 0 0 27.294 -1.368 26.123 -1.144 1893 9 23.778 -1.968 0 0 23.778 -1.968 23.779 -0.572 1893 10 17.186 -2.312 0 0 17.186 -2.312 16.259 -1.844 1893 11 NaN NaN NaN NaN NaN NaN 11.387 -1.028 1893 12 NaN NaN NaN NaN NaN NaN 9.348 1.033 1894 1 11.362 3.258 0 0 11.362 3.258 8.697 1.988 1894 2 8.988 -1.238 0 0 8.988 -1.238 6.758 -2.073 1894 3 15.556 1.059 0 0 15.556 1.059 14.362 1.260 1894 4 20.536 0.952 0 0 20.536 0.952 18.820 0.631 1894 5 23.208 -0.732 0 0 23.208 -0.732 22.269 -0.275 1894 6 25.519 -2.177 0 0 25.519 -2.177 25.117 -1.184 1894 7 26.971 -2.248 0 0 26.971 -2.248 25.965 -1.859 1894 8 27.183 -1.480 0 0 27.183 -1.480 25.768 -1.498 1894 9 24.333 -1.412 0 0 24.333 -1.412 23.954 -0.397 1894 10 18.966 -0.533 0 0 18.966 -0.533 17.413 -0.690 1894 11 12.356 -1.455 0 0 12.356 -1.455 11.101 -1.314 1894 12 13.889 4.179 1 0 NaN NaN 8.716 0.402 1895 1 11.975 3.871 1 0 NaN NaN 5.249 -1.460 1895 2 6.111 -4.115 0 0 6.111 -4.115 2.437 -6.394 1895 3 14.048 -0.449 0 0 14.048 -0.449 12.857 -0.245 1895 4 20.128 0.544 0 0 20.128 0.544 18.322 0.133 1895 5 21.209 -2.731 1 0 NaN NaN 21.187 -1.358 1895 6 25.370 -2.325 1 0 NaN NaN 26.093 -0.208 1895 7 27.796 -1.423 0 0 27.796 -1.423 27.065 -0.759 1895 8 27.922 -0.740 0 0 27.922 -0.740 26.700 -0.567 1895 9 27.386 1.640 0 0 27.386 1.640 26.322 1.971 1895 10 15.627 -3.871 0 0 15.627 -3.871 14.842 -3.261 1895 11 13.624 -0.186 0 0 13.624 -0.186 11.748 -0.667 1895 12 7.982 -1.727 1 0 NaN NaN 8.060 -0.255 1896 1 8.573 0.468 0 0 8.573 0.468 5.796 -0.913 1896 2 9.712 -0.514 0 0 9.712 -0.514 8.121 -0.710 1896 3 13.029 -1.468 0 0 13.029 -1.468 11.595 -1.506 1896 4 21.446 1.862 0 0 21.446 1.862 20.858 2.669 1896 5 26.362 2.422 0 0 26.362 2.422 25.070 2.525 1896 6 26.643 -1.053 0 0 26.643 -1.053 26.563 0.263 1896 7 29.480 0.261 0 0 29.480 0.261 29.000 1.176 1896 8 28.381 -0.281 0 0 28.381 -0.281 28.379 1.113 1896 9 25.037 -0.709 0 0 25.037 -0.709 24.400 0.049 1896 10 18.944 -0.554 0 0 18.944 -0.554 17.152 -0.951 1896 11 15.326 1.515 0 0 15.326 1.515 13.881 1.466 1896 12 10.968 1.258 0 0 10.968 1.258 8.814 0.500 1897 1 7.742 -0.362 0 0 7.742 -0.362 4.882 -1.827 1897 2 13.019 2.793 0 0 13.019 2.793 9.981 1.150 1897 3 13.704 -0.793 1 0 NaN NaN 15.948 2.847 1897 4 19.713 0.128 0 0 19.713 0.128 17.814 -0.375 1897 5 22.241 -1.699 0 0 22.241 -1.699 20.991 -1.554 1897 6 27.659 -0.037 0 0 27.659 -0.037 27.267 0.966 1897 7 NaN NaN NaN NaN NaN NaN 28.261 0.437 1897 8 NaN NaN NaN NaN NaN NaN 26.909 -0.358 1897 9 26.037 0.291 0 0 26.037 0.291 25.147 0.797 1897 10 22.724 3.226 0 0 22.724 3.226 20.053 1.950 1897 11 15.056 1.245 0 0 15.056 1.245 12.922 0.507 1897 12 NaN NaN NaN NaN NaN NaN 7.714 -0.600 1898 1 NaN NaN NaN NaN NaN NaN 9.372 2.663 1898 2 12.067 1.841 0 0 12.067 1.841 9.030 0.199 1898 3 16.290 1.794 0 0 16.290 1.794 14.820 1.719 1898 4 16.519 -3.066 0 0 16.519 -3.066 15.618 -2.571 1898 5 NaN NaN NaN NaN NaN NaN 23.341 0.797 1898 6 30.778 3.082 0 0 30.778 3.082 27.164 0.864 1898 7 29.100 -0.120 0 0 29.100 -0.120 26.861 -0.963 1898 8 30.108 1.445 0 0 30.108 1.445 26.899 -0.367 1898 9 NaN NaN NaN NaN NaN NaN 25.059 0.709 1898 10 17.937 -1.562 0 0 17.937 -1.562 16.310 -1.793 1898 11 11.766 -2.045 0 0 11.766 -2.045 9.973 -2.443 1898 12 NaN NaN NaN NaN NaN NaN 6.107 -2.208 1899 1 NaN NaN NaN NaN NaN NaN 6.143 -0.566 1899 2 NaN NaN NaN NaN NaN NaN 2.256 -6.575 1899 3 17.168 2.672 1 0 NaN NaN 13.129 0.027 1899 4 18.257 -1.328 0 0 18.257 -1.328 17.023 -1.167 1899 5 25.426 1.486 0 0 25.426 1.486 24.680 2.136 1899 6 27.551 -0.144 0 0 27.551 -0.144 26.619 0.319 1899 7 28.433 -0.787 0 0 28.433 -0.787 27.466 -0.358 1899 8 29.348 0.686 0 0 29.348 0.686 28.228 0.961 1899 9 23.315 -2.431 0 0 23.315 -2.431 22.994 -1.357 1899 10 21.953 2.455 0 0 21.953 2.455 19.579 1.476 1899 11 15.728 1.917 0 0 15.728 1.917 13.498 1.083 1899 12 8.495 -1.215 0 0 8.495 -1.215 7.241 -1.074 1900 1 9.265 1.161 0 0 9.265 1.161 6.761 0.052 1900 2 11.047 0.821 0 0 11.047 0.821 6.375 -2.456 1900 3 NaN NaN NaN NaN NaN NaN 11.736 -1.366 1900 4 NaN NaN NaN NaN NaN NaN 17.989 -0.200 1900 5 23.746 -0.194 0 0 23.746 -0.194 22.059 -0.485 1900 6 26.437 -1.259 0 0 26.437 -1.259 25.775 -0.525 1900 7 27.527 -1.692 0 0 27.527 -1.692 27.020 -0.804 1900 8 28.400 -0.262 0 0 28.400 -0.262 27.264 -0.003 1900 9 27.803 2.057 1 0 NaN NaN 26.924 2.573 1900 10 20.491 0.993 0 0 20.491 0.993 19.761 1.658 1900 11 15.000 1.190 0 0 15.000 1.190 13.250 0.835 1900 12 10.878 1.168 0 0 10.878 1.168 8.550 0.235 1901 1 10.407 2.303 0 0 10.407 2.303 8.508 1.799 1901 2 8.214 -2.012 0 0 8.214 -2.012 6.413 -2.418 1901 3 12.976 -1.520 0 0 12.976 -1.520 12.271 -0.831 1901 4 16.963 -2.621 0 0 16.963 -2.621 15.600 -2.589 1901 5 22.294 -1.646 0 0 22.294 -1.646 21.207 -1.338 1901 6 26.772 -0.923 0 0 26.772 -0.923 26.986 0.686 1901 7 29.320 0.101 0 0 29.320 0.101 28.320 0.496 1901 8 27.240 -1.422 0 0 27.240 -1.422 26.960 -0.307 1901 9 23.907 -1.838 0 0 23.907 -1.838 23.238 -1.113 1901 10 18.848 -0.650 0 0 18.848 -0.650 17.588 -0.515 1901 11 11.911 -1.899 0 0 11.911 -1.899 11.151 -1.264 1901 12 6.649 -3.061 0 0 6.649 -3.061 5.867 -2.447 1902 1 7.921 -0.183 0 0 7.921 -0.183 5.000 -1.709 1902 2 6.627 -3.599 0 0 6.627 -3.599 4.465 -4.366 1902 3 14.885 0.388 0 0 14.885 0.388 13.092 -0.010 1902 4 20.148 0.564 0 0 20.148 0.564 18.107 -0.082 1902 5 26.091 2.151 0 0 26.091 2.151 24.187 1.642 1902 6 28.307 0.611 0 0 28.307 0.611 27.599 1.299 1902 7 29.050 -0.169 0 0 29.050 -0.169 27.821 -0.003 1902 8 29.085 0.423 0 0 29.085 0.423 28.272 1.005 1902 9 23.067 -2.679 0 0 23.067 -2.679 22.750 -1.600 1902 10 18.539 -0.959 0 0 18.539 -0.959 17.428 -0.676 1902 11 18.056 4.245 0 0 18.056 4.245 15.544 3.129 1902 12 8.167 -1.543 0 0 8.167 -1.543 7.223 -1.092 1903 1 7.957 -0.147 0 0 7.957 -0.147 6.053 -0.656 1903 2 9.295 -0.931 0 0 9.295 -0.931 7.625 -1.206 1903 3 16.075 1.579 0 0 16.075 1.579 14.691 1.589 1903 4 18.149 -1.436 0 0 18.149 -1.436 17.229 -0.960 1903 5 21.803 -2.137 0 0 21.803 -2.137 21.258 -1.287 1903 6 24.322 -3.374 0 0 24.322 -3.374 23.281 -3.019 1903 7 28.077 -1.142 0 0 28.077 -1.142 27.008 -0.816 1903 8 NaN NaN NaN NaN NaN NaN 26.969 -0.298 1903 9 23.802 -1.944 0 0 23.802 -1.944 22.954 -1.396 1903 10 16.817 -2.681 0 0 16.817 -2.681 17.106 -0.997 1903 11 11.197 -2.613 0 0 11.197 -2.613 10.627 -1.788 1903 12 6.093 -3.617 0 0 6.093 -3.617 5.862 -2.452 1904 1 6.527 -1.578 0 0 6.527 -1.578 4.915 -1.794 1904 2 11.595 1.369 0 0 11.595 1.369 9.883 1.053 1904 3 NaN NaN NaN NaN NaN NaN 15.146 2.044 1904 4 NaN NaN NaN NaN NaN NaN 16.041 -2.148 1904 5 NaN NaN NaN NaN NaN NaN 21.059 -1.486 1904 6 NaN NaN NaN NaN NaN NaN 26.277 -0.023 1904 7 NaN NaN NaN NaN NaN NaN 26.206 -1.618 1904 8 NaN NaN NaN NaN NaN NaN 26.084 -1.183 1904 9 NaN NaN NaN NaN NaN NaN 25.725 1.375 1904 10 NaN NaN NaN NaN NaN NaN 18.299 0.196 1904 11 NaN NaN NaN NaN NaN NaN 11.666 -0.749 1904 12 NaN NaN NaN NaN NaN NaN 7.948 -0.366 1905 1 NaN NaN NaN NaN NaN NaN 3.193 -3.516 1905 2 NaN NaN NaN NaN NaN NaN 2.253 -6.578