% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28197 % Primary Name: MAYERSVILLE % Record Type: TAVG % Country: United States % State: MS % Latitude: 32.90000 +/- 0.00500 % Longitude: -91.05000 +/- 0.00500 % Elevation (m): 27.44 +/- 12.70 % # of Months: 35 % % Alternate Names: Missing Station ID - 225500 % % IDs: coop - 225500 % ghcnd - USC00225500 % ncdc - 12002859 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 96e8dfc2bf625dac0bc28c440ebde41d % Raw Data Hash: a31fd2dab27cee8760dfc80e3743e4ef % Adj Data Hash: 80b9bb875cfe3a984d2c0dfb6281caea % % 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 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 NaN NaN NaN NaN NaN NaN 27.775 -0.049 1893 8 NaN NaN NaN NaN NaN NaN 26.123 -1.144 1893 9 NaN NaN NaN NaN NaN NaN 23.779 -0.572 1893 10 NaN NaN NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN 8.697 1.988 1894 2 9.622 0.296 1 0 NaN NaN 6.758 -2.073 1894 3 16.505 2.908 0 0 16.505 2.908 14.362 1.260 1894 4 19.426 0.741 0 0 19.426 0.741 18.820 0.631 1894 5 22.898 -0.142 0 0 22.898 -0.142 22.269 -0.275 1894 6 25.219 -1.577 0 0 25.219 -1.577 25.117 -1.184 1894 7 25.914 -2.406 0 0 25.914 -2.406 25.965 -1.859 1894 8 26.039 -1.723 0 0 26.039 -1.723 25.768 -1.498 1894 9 23.519 -1.328 0 0 23.519 -1.328 23.954 -0.397 1894 10 NaN NaN NaN NaN NaN NaN 17.413 -0.690 1894 11 NaN NaN NaN NaN NaN NaN 11.101 -1.314 1894 12 11.296 2.486 1 0 NaN NaN 8.716 0.402 1895 1 NaN NaN NaN NaN NaN NaN 5.249 -1.460 1895 2 13.016 3.689 1 0 NaN NaN 2.437 -6.394 1895 3 13.781 0.184 0 0 13.781 0.184 12.857 -0.245 1895 4 18.833 0.148 0 0 18.833 0.148 18.322 0.133 1895 5 21.667 -1.374 0 0 21.667 -1.374 21.187 -1.358 1895 6 25.963 -0.833 0 0 25.963 -0.833 26.093 -0.208 1895 7 26.953 -1.366 0 0 26.953 -1.366 27.065 -0.759 1895 8 27.437 -0.325 0 0 27.437 -0.325 26.700 -0.567 1895 9 26.889 2.042 0 0 26.889 2.042 26.322 1.971 1895 10 16.237 -2.362 0 0 16.237 -2.362 14.842 -3.261 1895 11 12.931 0.020 0 0 12.931 0.020 11.748 -0.667 1895 12 9.677 0.867 0 0 9.677 0.867 8.060 -0.255 1896 1 6.918 -0.288 0 0 6.918 -0.288 5.796 -0.913 1896 2 NaN NaN NaN NaN NaN NaN 8.121 -0.710 1896 3 NaN NaN NaN NaN NaN NaN 11.595 -1.506 1896 4 NaN NaN NaN NaN NaN NaN 20.858 2.669 1896 5 NaN NaN NaN NaN NaN NaN 25.070 2.525 1896 6 NaN NaN NaN NaN NaN NaN 26.563 0.263 1896 7 NaN NaN NaN NaN NaN NaN 29.000 1.176 1896 8 NaN NaN NaN NaN NaN NaN 28.379 1.113 1896 9 24.100 -0.746 0 0 24.100 -0.746 24.400 0.049 1896 10 17.603 -0.996 0 0 17.603 -0.996 17.152 -0.951 1896 11 14.990 2.079 1 0 NaN NaN 13.881 1.466 1896 12 10.337 1.527 0 0 10.337 1.527 8.814 0.500 1897 1 6.369 -0.836 0 0 6.369 -0.836 4.882 -1.827 1897 2 11.422 2.095 1 0 NaN NaN 9.981 1.150 1897 3 NaN NaN NaN NaN NaN NaN 15.948 2.847 1897 4 18.785 0.100 0 0 18.785 0.100 17.814 -0.375 1897 5 21.850 -1.190 0 0 21.850 -1.190 20.991 -1.554 1897 6 NaN NaN NaN NaN NaN NaN 27.267 0.966 1897 7 27.785 -0.534 0 0 27.785 -0.534 28.261 0.437 1897 8 26.244 -1.519 0 0 26.244 -1.519 26.909 -0.358 1897 9 23.996 -0.850 0 0 23.996 -0.850 25.147 0.797 1897 10 19.764 1.165 0 0 19.764 1.165 20.053 1.950 1897 11 13.330 0.419 0 0 13.330 0.419 12.922 0.507 1897 12 NaN NaN NaN NaN NaN NaN 7.714 -0.600 1898 1 11.545 4.340 1 0 NaN NaN 9.372 2.663 1898 2 NaN NaN NaN NaN NaN NaN 9.030 0.199 1898 3 NaN NaN NaN NaN NaN NaN 14.820 1.719 1898 4 NaN NaN NaN NaN NaN NaN 15.618 -2.571 1898 5 NaN NaN NaN NaN NaN NaN 23.341 0.797 1898 6 NaN NaN NaN NaN NaN NaN 27.164 0.864 1898 7 NaN NaN NaN NaN NaN NaN 26.861 -0.963 1898 8 NaN NaN NaN NaN NaN NaN 26.899 -0.367 1898 9 NaN NaN NaN NaN NaN NaN 25.059 0.709 1898 10 NaN NaN NaN NaN NaN NaN 16.310 -1.793 1898 11 NaN NaN NaN NaN NaN NaN 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