% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27642 % Primary Name: MOUNT VERNON % Record Type: TAVG % Country: United States % State: GA % Latitude: 32.18276 +/- 0.00891 % Longitude: -82.62694 +/- 0.03139 % Elevation (m): 66.95 +/- 3.00 % # of Months: 15 % % Alternate Names: MT VERNON % MT VERNON 3 WNW % % IDs: coop - 96126 % ghcnd - USC00096126 % ncdc - 20004803 % ncdc - 20005063 % nws - MTVG1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 945f66c2eb2ff2abaa6617fc77fceb40 % Raw Data Hash: 7751c38e69e5659e2d1aaf7c0fa2741d % Adj Data Hash: 82084ca4dfc53d376c6277e7273286ce % % 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 1896 10 NaN NaN NaN NaN NaN NaN 18.547 -0.841 1896 11 NaN NaN NaN NaN NaN NaN 16.856 2.407 1896 12 NaN NaN NaN NaN NaN NaN 9.462 -1.323 1897 1 NaN NaN NaN NaN NaN NaN 8.030 -1.948 1897 2 NaN NaN NaN NaN NaN NaN 12.466 1.166 1897 3 NaN NaN NaN NaN NaN NaN 18.057 2.904 1897 4 NaN NaN NaN NaN NaN NaN 18.664 -0.517 1897 5 NaN NaN NaN NaN NaN NaN 21.761 -1.322 1897 6 NaN NaN NaN NaN NaN NaN 27.977 1.954 1897 7 NaN NaN NaN NaN NaN NaN 27.532 0.248 1897 8 NaN NaN NaN NaN NaN NaN 26.788 -0.341 1897 9 NaN NaN NaN NaN NaN NaN 23.889 -1.107 1897 10 21.367 1.896 1 0 NaN NaN 19.744 0.356 1897 11 16.158 1.626 0 0 16.158 1.626 15.597 1.148 1897 12 11.308 0.439 0 0 11.308 0.439 11.425 0.640 1898 1 12.634 2.573 0 0 12.634 2.573 11.666 1.689 1898 2 8.561 -2.823 0 0 8.561 -2.823 9.325 -1.976 1898 3 16.685 1.447 0 0 16.685 1.447 17.273 2.119 1898 4 NaN NaN NaN NaN NaN NaN 16.866 -2.315 1898 5 NaN NaN NaN NaN NaN NaN 24.028 0.944 1898 6 29.111 3.004 0 0 29.111 3.004 27.234 1.210 1898 7 27.867 0.500 0 0 27.867 0.500 26.903 -0.381 1898 8 27.366 0.153 0 0 27.366 0.153 26.440 -0.689 1898 9 25.241 0.161 0 0 25.241 0.161 25.409 0.414 1898 10 NaN NaN NaN NaN NaN NaN 18.217 -1.171 1898 11 NaN NaN NaN NaN NaN NaN 13.119 -1.329 1898 12 10.251 -0.618 0 0 10.251 -0.618 9.615 -1.170 1899 1 8.863 -1.198 0 0 8.863 -1.198 9.351 -0.627 1899 2 8.584 -2.800 0 0 8.584 -2.800 9.320 -1.980 1899 3 NaN NaN NaN NaN NaN NaN 15.539 0.385 1899 4 15.408 -3.856 0 0 15.408 -3.856 17.581 -1.600 1899 5 NaN NaN NaN NaN NaN NaN 24.750 1.667 1899 6 NaN NaN NaN NaN NaN NaN 27.022 0.999 1899 7 NaN NaN NaN NaN NaN NaN 27.049 -0.235 1899 8 NaN NaN NaN NaN NaN NaN 27.709 0.580 1899 9 NaN NaN NaN NaN NaN NaN 24.406 -0.589 1899 10 NaN NaN NaN NaN NaN NaN 19.578 0.190 1899 11 NaN NaN NaN NaN NaN NaN 15.212 0.763 1899 12 NaN NaN NaN NaN NaN NaN 9.543 -1.242 1900 1 NaN NaN NaN NaN NaN NaN 8.198 -1.780 1900 2 NaN NaN NaN NaN NaN NaN 9.200 -2.101 1900 3 14.279 -0.959 0 0 14.279 -0.959 14.005 -1.149 1900 4 NaN NaN NaN NaN NaN NaN 19.361 0.180 1900 5 NaN NaN NaN NaN NaN NaN 22.574 -0.510 1900 6 NaN NaN NaN NaN NaN NaN 25.633 -0.390 1900 7 NaN NaN NaN NaN NaN NaN 27.364 0.080 1900 8 NaN NaN NaN NaN NaN NaN 28.357 1.228 1900 9 NaN NaN NaN NaN NaN NaN 26.305 1.310 1900 10 NaN NaN NaN NaN NaN NaN 21.292 1.904 1900 11 NaN NaN NaN NaN NaN NaN 15.079 0.630 1900 12 NaN NaN NaN NaN NaN NaN 10.160 -0.625 1901 1 NaN NaN NaN NaN NaN NaN 9.315 -0.662 1901 2 NaN NaN NaN NaN NaN NaN 8.077 -3.224 1901 3 NaN NaN NaN NaN NaN NaN 13.428 -1.726