% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29472 % Primary Name: WHITE OAK % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.48330 +/- 0.00005 % Longitude: -81.13330 +/- 0.00005 % Elevation (m): 167.03 +/- 0.15 % # of Months: 35 % % Alternate Names: Missing Station ID - 389180 % % IDs: coop - 389180 % ghcnd - USC00389180 % ncdc - 12004927 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: bc99b6441be1fd85d7bc6dc221161362 % Raw Data Hash: 917263f4495e1129fec25b477c4a5402 % Adj Data Hash: 42c1b93355e8c0bf948c59c5679031a4 % % 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 1915 3 NaN NaN NaN NaN NaN NaN 6.440 -4.616 1915 4 NaN NaN NaN NaN NaN NaN 16.684 0.483 1915 5 NaN NaN NaN NaN NaN NaN 21.183 0.541 1915 6 NaN NaN NaN NaN NaN NaN 23.077 -1.185 1915 7 NaN NaN NaN NaN NaN NaN 26.103 -0.037 1915 8 NaN NaN NaN NaN NaN NaN 24.884 -0.879 1915 9 NaN NaN NaN NaN NaN NaN 23.614 1.099 1915 10 NaN NaN NaN NaN NaN NaN 17.510 1.400 1915 11 NaN NaN NaN NaN NaN NaN 12.101 1.233 1915 12 NaN NaN NaN NaN NaN NaN 5.015 -1.441 1916 1 NaN NaN NaN NaN NaN NaN 8.961 3.500 1916 2 NaN NaN NaN NaN NaN NaN 6.909 0.019 1916 3 12.153 -0.219 0 0 12.153 -0.219 10.596 -0.460 1916 4 16.685 -0.831 0 0 16.685 -0.831 15.291 -0.909 1916 5 24.090 2.132 0 0 24.090 2.132 22.289 1.647 1916 6 25.000 -0.578 0 0 25.000 -0.578 23.581 -0.681 1916 7 25.819 -1.637 0 0 25.819 -1.637 24.732 -1.408 1916 8 26.629 -0.450 0 0 26.629 -0.450 25.771 0.008 1916 9 22.788 -1.043 0 0 22.788 -1.043 21.693 -0.822 1916 10 17.806 0.380 0 0 17.806 0.380 15.784 -0.327 1916 11 12.657 0.472 0 0 12.657 0.472 11.441 0.573 1916 12 7.506 -0.265 0 0 7.506 -0.265 5.891 -0.564 1917 1 9.331 2.553 0 0 9.331 2.553 7.810 2.348 1917 2 8.443 0.237 0 0 8.443 0.237 6.225 -0.665 1917 3 12.150 -0.222 0 0 12.150 -0.222 10.605 -0.451 1917 4 18.573 1.057 0 0 18.573 1.057 17.475 1.275 1917 5 19.268 -2.690 0 0 19.268 -2.690 17.724 -2.918 1917 6 24.998 -0.580 0 0 24.998 -0.580 23.858 -0.404 1917 7 26.548 -0.908 0 0 26.548 -0.908 25.687 -0.453 1917 8 25.837 -1.242 0 0 25.837 -1.242 25.183 -0.580 1917 9 21.472 -2.359 0 0 21.472 -2.359 21.079 -1.436 1917 10 15.535 -1.891 0 0 15.535 -1.891 13.440 -2.670 1917 11 10.393 -1.791 0 0 10.393 -1.791 9.488 -1.380 1917 12 2.552 -5.220 0 0 2.552 -5.220 1.130 -5.325 1918 1 2.355 -4.422 0 0 2.355 -4.422 0.637 -4.824 1918 2 11.386 3.180 0 0 11.386 3.180 9.299 2.409 1918 3 15.071 2.699 0 0 15.071 2.699 13.850 2.794 1918 4 NaN NaN NaN NaN NaN NaN 14.787 -1.413 1918 5 22.513 0.555 0 0 22.513 0.555 21.549 0.908 1918 6 NaN NaN NaN NaN NaN NaN 24.150 -0.112 1918 7 25.210 -2.247 0 0 25.210 -2.247 24.400 -1.740 1918 8 26.792 -0.287 1 0 NaN NaN 25.981 0.218 1918 9 20.970 -2.861 0 0 20.970 -2.861 19.983 -2.532 1918 10 19.539 2.113 0 0 19.539 2.113 17.804 1.694 1918 11 11.582 -0.603 0 0 11.582 -0.603 10.785 -0.083 1918 12 9.790 2.019 0 0 9.790 2.019 8.789 2.334 1919 1 7.865 1.088 0 0 7.865 1.088 6.560 1.099 1919 2 7.111 -1.095 0 0 7.111 -1.095 5.767 -1.123 1919 3 NaN NaN NaN NaN NaN NaN 12.045 0.989 1919 4 16.389 -1.127 1 0 NaN NaN 16.150 -0.051 1919 5 NaN NaN NaN NaN NaN NaN 20.281 -0.360 1919 6 NaN NaN NaN NaN NaN NaN 24.089 -0.174 1919 7 NaN NaN NaN NaN NaN NaN 25.561 -0.579 1919 8 NaN NaN NaN NaN NaN NaN 25.241 -0.522 1919 9 NaN NaN NaN NaN NaN NaN 22.958 0.443 1919 10 NaN NaN NaN NaN NaN NaN 21.400 5.290 1919 11 NaN NaN NaN NaN NaN NaN 12.381 1.513 1919 12 NaN NaN NaN NaN NaN NaN 6.070 -0.385 1920 1 NaN NaN NaN NaN NaN NaN 5.697 0.236 1920 2 NaN NaN NaN NaN NaN NaN 4.737 -2.153 1920 3 NaN NaN NaN NaN NaN NaN 9.750 -1.306 1920 4 NaN NaN NaN NaN NaN NaN 15.129 -1.072