% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28432 % Primary Name: FRENCH CAMP % Record Type: TAVG % Country: United States % State: MS % Latitude: 33.28330 +/- 0.00005 % Longitude: -89.40000 +/- 0.00005 % Elevation (m): 145.04 +/- 34.17 % # of Months: 64 % % Alternate Names: Missing Station ID - 223173 % % IDs: coop - 223173 % ghcnd - USC00223173 % ncdc - 12010050 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: fbb649531c67fab3477616920bfd202d % Raw Data Hash: 6ff2a11fedafd439b8b753a2e43df032 % Adj Data Hash: e3215f5ac3bb33f0f4af9a186a0d6c88 % % 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 9 NaN NaN NaN NaN NaN NaN 21.799 -2.091 1892 10 NaN NaN NaN NaN NaN NaN 17.554 0.143 1892 11 NaN NaN NaN NaN NaN NaN 11.783 -0.159 1892 12 NaN NaN NaN NaN NaN NaN 7.132 -0.935 1893 1 NaN NaN NaN NaN NaN NaN 4.198 -2.394 1893 2 NaN NaN NaN NaN NaN NaN 10.261 1.633 1893 3 NaN NaN NaN NaN NaN NaN 11.562 -1.175 1893 4 NaN NaN NaN NaN NaN NaN 19.591 1.995 1893 5 NaN NaN NaN NaN NaN NaN 20.797 -0.911 1893 6 NaN NaN NaN NaN NaN NaN 24.832 -0.664 1893 7 NaN NaN NaN NaN NaN NaN 27.060 -0.059 1893 8 NaN NaN NaN NaN NaN NaN 25.618 -1.089 1893 9 20.833 -2.108 1 0 NaN NaN 23.133 -0.757 1893 10 14.122 -2.340 0 0 14.122 -2.340 15.600 -1.811 1893 11 9.296 -1.697 0 0 9.296 -1.697 11.005 -0.938 1893 12 7.652 0.535 0 0 7.652 0.535 8.935 0.868 1894 1 7.652 2.010 0 0 7.652 2.010 8.386 1.794 1894 2 5.813 -1.865 0 0 5.813 -1.865 7.012 -1.615 1894 3 12.437 0.650 0 0 12.437 0.650 13.980 1.244 1894 4 15.778 -0.870 0 0 15.778 -0.870 18.057 0.460 1894 5 19.229 -1.530 0 0 19.229 -1.530 21.503 -0.205 1894 6 21.226 -3.321 0 0 21.226 -3.321 24.649 -0.847 1894 7 21.766 -4.404 1 0 NaN NaN 25.428 -1.691 1894 8 21.548 -4.211 1 0 NaN NaN 25.200 -1.507 1894 9 20.037 -2.904 1 0 NaN NaN 23.830 -0.060 1894 10 13.638 -2.823 0 0 13.638 -2.823 16.557 -0.854 1894 11 6.852 -4.142 0 0 6.852 -4.142 10.393 -1.550 1894 12 5.185 -1.932 0 0 5.185 -1.932 8.425 0.359 1895 1 4.355 -1.288 0 0 4.355 -1.288 5.194 -1.398 1895 2 2.559 -5.119 0 0 2.559 -5.119 2.040 -6.587 1895 3 11.289 -0.499 0 0 11.289 -0.499 12.375 -0.362 1895 4 17.593 0.945 0 0 17.593 0.945 17.684 0.087 1895 5 19.839 -0.921 0 0 19.839 -0.921 20.514 -1.195 1895 6 24.333 -0.214 0 0 24.333 -0.214 25.422 -0.074 1895 7 25.870 -0.300 0 0 25.870 -0.300 26.464 -0.655 1895 8 25.502 -0.256 0 0 25.502 -0.256 26.401 -0.307 1895 9 24.385 1.444 0 0 24.385 1.444 25.987 2.097 1895 10 13.389 -3.073 0 0 13.389 -3.073 14.541 -2.870 1895 11 10.556 -0.438 0 0 10.556 -0.438 11.610 -0.333 1895 12 7.276 0.159 0 0 7.276 0.159 7.415 -0.652 1896 1 5.430 -0.213 0 0 5.430 -0.213 5.755 -0.836 1896 2 7.893 0.215 0 0 7.893 0.215 8.230 -0.398 1896 3 10.018 -1.770 0 0 10.018 -1.770 11.054 -1.683 1896 4 20.148 3.501 0 0 20.148 3.501 20.233 2.637 1896 5 23.889 3.130 0 0 23.889 3.130 24.257 2.549 1896 6 24.574 0.027 0 0 24.574 0.027 25.080 -0.416 1896 7 27.348 1.177 0 0 27.348 1.177 27.811 0.692 1896 8 27.294 1.536 0 0 27.294 1.536 27.907 1.199 1896 9 22.111 -0.830 0 0 22.111 -0.830 24.038 0.148 1896 10 15.753 -0.709 0 0 15.753 -0.709 16.748 -0.663 1896 11 12.611 1.617 0 0 12.611 1.617 13.666 1.723 1896 12 8.118 1.001 0 0 8.118 1.001 8.669 0.603 1897 1 4.910 -0.732 0 0 4.910 -0.732 4.795 -1.797 1897 2 10.794 3.116 0 0 10.794 3.116 10.004 1.377 1897 3 15.663 3.875 0 0 15.663 3.875 15.750 3.013 1897 4 16.611 -0.036 0 0 16.611 -0.036 17.169 -0.427 1897 5 19.093 -1.667 0 0 19.093 -1.667 20.042 -1.667 1897 6 NaN NaN NaN NaN NaN NaN 27.195 1.699 1897 7 NaN NaN NaN NaN NaN NaN 27.550 0.430 1897 8 27.444 1.686 1 0 NaN NaN 26.475 -0.232 1897 9 24.185 1.244 0 0 24.185 1.244 25.098 1.208 1897 10 18.781 2.320 0 0 18.781 2.320 19.392 1.981 1897 11 12.222 1.229 0 0 12.222 1.229 12.713 0.770 1897 12 7.688 0.571 0 0 7.688 0.571 8.269 0.202 1898 1 9.212 3.569 0 0 9.212 3.569 9.250 2.658 1898 2 7.976 0.298 0 0 7.976 0.298 7.986 -0.641 1898 3 14.427 2.639 0 0 14.427 2.639 14.877 2.140 1898 4 14.037 -2.610 0 0 14.037 -2.610 14.832 -2.765 1898 5 21.559 0.800 0 0 21.559 0.800 22.680 0.971 1898 6 24.861 0.314 1 0 NaN NaN 26.748 1.252 1898 7 24.982 -1.188 0 0 24.982 -1.188 26.440 -0.679 1898 8 24.767 -0.991 0 0 24.767 -0.991 26.220 -0.488 1898 9 22.611 -0.330 0 0 22.611 -0.330 24.588 0.698 1898 10 14.910 -1.551 0 0 14.910 -1.551 15.540 -1.870 1898 11 9.023 -1.971 0 0 9.023 -1.971 9.675 -2.268 1898 12 4.749 -2.368 0 0 4.749 -2.368 5.749 -2.318 1899 1 5.860 0.218 0 0 5.860 0.218 5.735 -0.857 1899 2 2.613 -5.065 0 0 2.613 -5.065 2.340 -6.288 1899 3 NaN NaN NaN NaN NaN NaN 12.685 -0.052 1899 4 NaN NaN NaN NaN NaN NaN 16.384 -1.213 1899 5 NaN NaN NaN NaN NaN NaN 23.966 2.257 1899 6 NaN NaN NaN NaN NaN NaN 26.208 0.712 1899 7 NaN NaN NaN NaN NaN NaN 26.751 -0.368 1899 8 NaN NaN NaN NaN NaN NaN 27.335 0.628 1899 9 NaN NaN NaN NaN NaN NaN 22.670 -1.220 1899 10 NaN NaN NaN NaN NaN NaN 18.745 1.335 1899 11 NaN NaN NaN NaN NaN NaN 13.047 1.104 1899 12 NaN NaN NaN NaN NaN NaN 7.051 -1.016 1900 1 NaN NaN NaN NaN NaN NaN 6.145 -0.447 1900 2 NaN NaN NaN NaN NaN NaN 6.018 -2.609