% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29376 % Primary Name: BOWERSVILLE % Record Type: TAVG % Country: United States % State: GA % Latitude: 34.36670 +/- 0.00005 % Longitude: -83.08330 +/- 0.00005 % Elevation (m): 281.94 +/- 0.15 % # of Months: 67 % % Alternate Names: Missing Station ID - 91115 % % IDs: coop - 91115 % ghcnd - USC00091115 % ncdc - 12001421 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 14e85a4b9cb9fcd07535b9529f2b76f7 % Raw Data Hash: 4a5a5b5c6da097596c57073162e184db % Adj Data Hash: bcfa7d70883d198320175c6ab9b949b4 % % 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 1900 4 NaN NaN NaN NaN NaN NaN 14.953 0.132 1900 5 NaN NaN NaN NaN NaN NaN 18.440 -0.588 1900 6 NaN NaN NaN NaN NaN NaN 21.803 -0.786 1900 7 NaN NaN NaN NaN NaN NaN 24.480 0.099 1900 8 NaN NaN NaN NaN NaN NaN 25.703 1.619 1900 9 NaN NaN NaN NaN NaN NaN 22.827 1.814 1900 10 NaN NaN NaN NaN NaN NaN 17.211 2.390 1900 11 NaN NaN NaN NaN NaN NaN 10.330 0.722 1900 12 NaN NaN NaN NaN NaN NaN 4.865 -0.531 1901 1 NaN NaN NaN NaN NaN NaN 3.969 -0.152 1901 2 NaN NaN NaN NaN NaN NaN 2.520 -3.110 1901 3 NaN NaN NaN NaN NaN NaN 8.699 -1.061 1901 4 12.770 -3.774 0 0 12.770 -3.774 11.112 -3.709 1901 5 20.802 0.050 0 0 20.802 0.050 18.760 -0.269 1901 6 24.806 0.494 0 0 24.806 0.494 22.919 0.331 1901 7 27.244 1.140 0 0 27.244 1.140 25.406 1.026 1901 8 24.848 -0.959 1 0 NaN NaN 23.218 -0.866 1901 9 21.156 -1.581 0 0 21.156 -1.581 20.017 -0.996 1901 10 16.181 -0.363 0 0 16.181 -0.363 14.114 -0.706 1901 11 7.555 -3.776 0 0 7.555 -3.776 6.982 -2.626 1901 12 3.332 -3.787 1 0 NaN NaN 3.088 -2.308 1902 1 4.190 -1.654 0 0 4.190 -1.654 2.836 -1.284 1902 2 3.081 -4.273 0 0 3.081 -4.273 1.372 -4.259 1902 3 9.795 -1.688 0 0 9.795 -1.688 9.052 -0.708 1902 4 14.771 -1.774 0 0 14.771 -1.774 13.347 -1.474 1902 5 22.821 2.069 0 0 22.821 2.069 21.039 2.010 1902 6 25.634 1.323 0 0 25.634 1.323 23.602 1.014 1902 7 26.671 0.567 0 0 26.671 0.567 25.293 0.913 1902 8 25.737 -0.070 0 0 25.737 -0.070 24.381 0.298 1902 9 20.964 -1.772 0 0 20.964 -1.772 19.802 -1.211 1902 10 16.623 0.079 0 0 16.623 0.079 14.847 0.027 1902 11 13.413 2.082 0 0 13.413 2.082 12.456 2.848 1902 12 6.059 -1.060 0 0 6.059 -1.060 4.687 -0.709 1903 1 4.455 -1.389 0 0 4.455 -1.389 3.028 -1.093 1903 2 7.475 0.122 1 0 NaN NaN 5.507 -0.124 1903 3 13.686 2.202 0 0 13.686 2.202 12.506 2.745 1903 4 15.281 -1.263 0 0 15.281 -1.263 13.296 -1.525 1903 5 20.638 -0.114 0 0 20.638 -0.114 18.821 -0.208 1903 6 22.384 -1.927 0 0 22.384 -1.927 20.144 -2.444 1903 7 26.347 0.243 0 0 26.347 0.243 24.285 -0.096 1903 8 26.376 0.569 0 0 26.376 0.569 24.513 0.429 1903 9 22.027 -0.710 0 0 22.027 -0.710 20.551 -0.462 1903 10 16.640 0.097 0 0 16.640 0.097 14.239 -0.581 1903 11 9.112 -2.220 1 0 NaN NaN 7.869 -1.739 1903 12 4.074 -3.045 0 0 4.074 -3.045 2.026 -3.370 1904 1 3.712 -2.132 0 0 3.712 -2.132 1.720 -2.400 1904 2 5.717 -1.637 0 0 5.717 -1.637 3.917 -1.713 1904 3 12.205 0.721 0 0 12.205 0.721 10.199 0.439 1904 4 13.716 -2.829 0 0 13.716 -2.829 12.151 -2.670 1904 5 20.611 -0.141 0 0 20.611 -0.141 18.266 -0.763 1904 6 24.512 0.200 0 0 24.512 0.200 22.389 -0.199 1904 7 25.825 -0.278 0 0 25.825 -0.278 23.352 -1.029 1904 8 24.997 -0.810 1 0 NaN NaN 22.988 -1.096 1904 9 23.850 1.114 0 0 23.850 1.114 21.822 0.809 1904 10 16.715 0.171 0 0 16.715 0.171 14.323 -0.497 1904 11 10.165 -1.166 0 0 10.165 -1.166 8.889 -0.719 1904 12 5.804 -1.315 0 0 5.804 -1.315 4.571 -0.825 1905 1 3.695 -2.149 0 0 3.695 -2.149 1.183 -2.938 1905 2 2.776 -4.578 1 0 NaN NaN 0.527 -5.103 1905 3 13.134 1.650 0 0 13.134 1.650 12.028 2.268 1905 4 17.932 1.388 1 0 NaN NaN 14.990 0.169 1905 5 21.340 0.588 0 0 21.340 0.588 20.005 0.977 1905 6 25.593 1.282 0 0 25.593 1.282 23.247 0.659 1905 7 26.052 -0.051 0 0 26.052 -0.051 23.993 -0.387 1905 8 24.943 -0.864 1 0 NaN NaN 23.217 -0.866 1905 9 24.237 1.500 0 0 24.237 1.500 22.320 1.307 1905 10 16.778 0.235 0 0 16.778 0.235 14.760 -0.061 1905 11 11.165 -0.166 0 0 11.165 -0.166 9.962 0.354 1905 12 5.770 -1.350 0 0 5.770 -1.350 4.038 -1.358 1906 1 6.051 0.207 0 0 6.051 0.207 5.159 1.038 1906 2 6.407 -0.947 0 0 6.407 -0.947 4.603 -1.027 1906 3 8.595 -2.888 0 0 8.595 -2.888 7.343 -2.417 1906 4 16.805 0.261 0 0 16.805 0.261 15.664 0.843 1906 5 20.376 -0.376 0 0 20.376 -0.376 18.407 -0.622 1906 6 NaN NaN NaN NaN NaN NaN 22.738 0.150 1906 7 24.899 -1.205 0 0 24.899 -1.205 22.800 -1.580 1906 8 26.258 0.451 0 0 26.258 0.451 24.446 0.363 1906 9 NaN NaN NaN NaN NaN NaN 22.731 1.718 1906 10 NaN NaN NaN NaN NaN NaN 13.548 -1.272 1906 11 NaN NaN NaN NaN NaN NaN 9.902 0.294 1906 12 NaN NaN NaN NaN NaN NaN 6.284 0.888 1907 1 NaN NaN NaN NaN NaN NaN 8.876 4.756 1907 2 NaN NaN NaN NaN NaN NaN 4.968 -0.662 1907 3 NaN NaN NaN NaN NaN NaN 14.304 4.543 1907 4 NaN NaN NaN NaN NaN NaN 11.141 -3.680 1907 5 20.390 -0.362 0 0 20.390 -0.362 17.849 -1.180 1907 6 23.485 -0.826 0 0 23.485 -0.826 21.244 -1.344 1907 7 26.657 0.554 1 0 NaN NaN 24.882 0.501 1907 8 NaN NaN NaN NaN NaN NaN 23.777 -0.307 1907 9 NaN NaN NaN NaN NaN NaN 21.433 0.420 1907 10 NaN NaN NaN NaN NaN NaN 13.326 -1.495 1907 11 NaN NaN NaN NaN NaN NaN 8.425 -1.183 1907 12 NaN NaN NaN NaN NaN NaN 4.591 -0.806 1908 1 NaN NaN NaN NaN NaN NaN 2.959 -1.162 1908 2 NaN NaN NaN NaN NaN NaN 2.345 -3.286 1908 3 NaN NaN NaN NaN NaN NaN 13.276 3.515 1908 4 NaN NaN NaN NaN NaN NaN 16.579 1.758 1908 5 NaN NaN NaN NaN NaN NaN 19.012 -0.016 1908 6 NaN NaN NaN NaN NaN NaN 22.329 -0.259 1908 7 NaN NaN NaN NaN NaN NaN 24.153 -0.227