% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28262 % Primary Name: BRENT % Record Type: TAVG % Country: United States % State: GA % Latitude: 32.98330 +/- 0.00005 % Longitude: -84.01670 +/- 0.00005 % Elevation (m): 213.36 +/- 0.15 % # of Months: 31 % % Alternate Names: Missing Station ID - 91200 % % IDs: coop - 91200 % ghcnd - USC00091200 % ncdc - 12001423 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 800d9ffe63830073822a389bad4cc9ae % Raw Data Hash: 73ce261c315ee376652a31fc498246b4 % Adj Data Hash: cb63030219b4436ef9c6418586f4b4e4 % % 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 1899 8 NaN NaN NaN NaN NaN NaN 27.479 0.835 1899 9 NaN NaN NaN NaN NaN NaN 23.327 -0.512 1899 10 NaN NaN NaN NaN NaN NaN 17.752 0.041 1899 11 NaN NaN NaN NaN NaN NaN 13.232 0.728 1899 12 NaN NaN NaN NaN NaN NaN 6.934 -1.578 1900 1 NaN NaN NaN NaN NaN NaN 5.998 -1.484 1900 2 NaN NaN NaN NaN NaN NaN 6.273 -2.768 1900 3 NaN NaN NaN NaN NaN NaN 11.430 -1.652 1900 4 NaN NaN NaN NaN NaN NaN 17.969 0.191 1900 5 NaN NaN NaN NaN NaN NaN 21.302 -0.689 1900 6 NaN NaN NaN NaN NaN NaN 24.573 -0.826 1900 7 NaN NaN NaN NaN NaN NaN 26.825 -0.080 1900 8 28.947 2.066 1 0 NaN NaN 28.116 1.472 1900 9 25.347 1.271 0 0 25.347 1.271 25.481 1.642 1900 10 20.957 3.009 0 0 20.957 3.009 19.857 2.145 1900 11 13.562 0.821 1 0 NaN NaN 13.257 0.752 1900 12 8.184 -0.564 0 0 8.184 -0.564 7.893 -0.619 1901 1 8.106 0.388 0 0 8.106 0.388 7.446 -0.036 1901 2 6.657 -2.620 0 0 6.657 -2.620 5.977 -3.064 1901 3 11.871 -1.447 0 0 11.871 -1.447 12.112 -0.970 1901 4 13.752 -4.263 0 0 13.752 -4.263 13.952 -3.826 1901 5 22.177 -0.050 0 0 22.177 -0.050 21.844 -0.147 1901 6 25.307 -0.329 0 0 25.307 -0.329 25.221 -0.178 1901 7 27.635 0.494 0 0 27.635 0.494 27.311 0.406 1901 8 26.007 -0.873 0 0 26.007 -0.873 25.844 -0.800 1901 9 22.873 -1.203 0 0 22.873 -1.203 23.023 -0.816 1901 10 17.774 -0.174 0 0 17.774 -0.174 16.607 -1.105 1901 11 9.718 -3.023 0 0 9.718 -3.023 9.762 -2.742 1901 12 6.312 -2.436 0 0 6.312 -2.436 6.127 -2.384 1902 1 6.659 -1.060 0 0 6.659 -1.060 6.179 -1.303 1902 2 5.575 -3.703 0 0 5.575 -3.703 4.797 -4.244 1902 3 12.539 -0.780 0 0 12.539 -0.780 12.545 -0.536 1902 4 16.150 -1.865 0 0 16.150 -1.865 16.368 -1.410 1902 5 24.394 2.166 0 0 24.394 2.166 24.064 2.073 1902 6 26.723 1.088 0 0 26.723 1.088 26.198 0.799 1902 7 28.168 1.026 0 0 28.168 1.026 27.535 0.631 1902 8 27.168 0.287 0 0 27.168 0.287 26.697 0.053 1902 9 22.290 -1.786 0 0 22.290 -1.786 22.916 -0.923 1902 10 18.353 0.405 0 0 18.353 0.405 17.381 -0.330 1902 11 14.619 1.878 1 0 NaN NaN 14.818 2.314 1902 12 NaN NaN NaN NaN NaN NaN 8.066 -0.446 1903 1 6.244 -1.475 0 0 6.244 -1.475 6.254 -1.228 1903 2 9.805 0.528 0 0 9.805 0.528 9.168 0.127 1903 3 14.116 0.798 0 0 14.116 0.798 15.671 2.590 1903 4 NaN NaN NaN NaN NaN NaN 15.953 -1.825 1903 5 NaN NaN NaN NaN NaN NaN 21.014 -0.977 1903 6 NaN NaN NaN NaN NaN NaN 23.442 -1.957 1903 7 NaN NaN NaN NaN NaN NaN 26.596 -0.308 1903 8 NaN NaN NaN NaN NaN NaN 27.128 0.484 1903 9 NaN NaN NaN NaN NaN NaN 22.829 -1.010 1903 10 NaN NaN NaN NaN NaN NaN 16.561 -1.151 1903 11 NaN NaN NaN NaN NaN NaN 10.957 -1.548 1903 12 NaN NaN NaN NaN NaN NaN 5.135 -3.376 1904 1 NaN NaN NaN NaN NaN NaN 4.757 -2.725 1904 2 NaN NaN NaN NaN NaN NaN 7.391 -1.650 1904 3 NaN NaN NaN NaN NaN NaN 14.334 1.253