% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29791 % Primary Name: MOUNTAIN REST % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.85000 +/- 0.00500 % Longitude: -83.15000 +/- 0.00500 % Elevation (m): 420.62 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 385973 % % IDs: coop - 385973 % ghcnd - USC00385973 % ncdc - 12004913 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1680786996b3531ade9d0e92150cbad4 % Raw Data Hash: c6ec297248633e46753d8b6a0f76be46 % Adj Data Hash: 9b2a88fb51d0829d677297954c5b0678 % % 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 1914 8 NaN NaN NaN NaN NaN NaN 23.832 -0.251 1914 9 NaN NaN NaN NaN NaN NaN 20.477 -0.536 1914 10 NaN NaN NaN NaN NaN NaN 15.161 0.340 1914 11 NaN NaN NaN NaN NaN NaN 9.032 -0.576 1914 12 NaN NaN NaN NaN NaN NaN 3.711 -1.685 1915 1 NaN NaN NaN NaN NaN NaN 3.722 -0.399 1915 2 NaN NaN NaN NaN NaN NaN 5.543 -0.087 1915 3 NaN NaN NaN NaN NaN NaN 5.073 -4.687 1915 4 NaN NaN NaN NaN NaN NaN 15.828 1.007 1915 5 NaN NaN NaN NaN NaN NaN 20.032 1.003 1915 6 NaN NaN NaN NaN NaN NaN 22.074 -0.514 1915 7 NaN NaN NaN NaN NaN NaN 24.137 -0.244 1915 8 22.348 -1.397 0 0 22.348 -1.397 23.279 -0.804 1915 9 20.990 0.315 0 0 20.990 0.315 21.956 0.943 1915 10 17.018 2.535 0 0 17.018 2.535 16.273 1.453 1915 11 11.659 2.389 1 0 NaN NaN 10.744 1.136 1915 12 5.615 0.556 1 0 NaN NaN 4.164 -1.232 1916 1 8.635 4.853 0 0 8.635 4.853 7.642 3.521 1916 2 6.588 1.295 0 0 6.588 1.295 5.244 -0.387 1916 3 9.163 -0.259 0 0 9.163 -0.259 8.944 -0.816 1916 4 13.625 -0.858 0 0 13.625 -0.858 14.021 -0.800 1916 5 20.198 1.508 0 0 20.198 1.508 20.473 1.444 1916 6 21.051 -1.200 0 0 21.051 -1.200 21.874 -0.714 1916 7 22.631 -1.411 1 0 NaN NaN 23.460 -0.920 1916 8 23.208 -0.537 0 0 23.208 -0.537 24.259 0.176 1916 9 19.523 -1.152 1 0 NaN NaN 20.347 -0.666 1916 10 15.406 0.924 0 0 15.406 0.924 14.793 -0.027 1916 11 10.623 1.353 1 0 NaN NaN 10.006 0.398 1916 12 6.126 1.067 0 0 6.126 1.067 4.842 -0.554 1917 1 7.403 3.620 0 0 7.403 3.620 6.589 2.469 1917 2 5.381 0.088 1 0 NaN NaN 4.654 -0.976 1917 3 9.713 0.291 0 0 9.713 0.291 9.825 0.065 1917 4 14.875 0.392 0 0 14.875 0.392 15.986 1.165 1917 5 14.850 -3.841 0 0 14.850 -3.841 15.778 -3.251 1917 6 20.507 -1.743 0 0 20.507 -1.743 21.772 -0.816 1917 7 22.963 -1.080 0 0 22.963 -1.080 23.950 -0.430 1917 8 21.711 -2.034 0 0 21.711 -2.034 23.044 -1.039 1917 9 18.512 -2.163 0 0 18.512 -2.163 20.039 -0.974 1917 10 10.510 -3.972 0 0 10.510 -3.972 11.674 -3.146 1917 11 7.390 -1.880 0 0 7.390 -1.880 8.641 -0.967 1917 12 -0.069 -5.128 0 0 -0.069 -5.128 0.464 -4.933 1918 1 -0.200 -3.983 0 0 -0.200 -3.983 -0.734 -4.855 1918 2 NaN NaN NaN NaN NaN NaN 7.869 2.239 1918 3 NaN NaN NaN NaN NaN NaN 13.086 3.326 1918 4 NaN NaN NaN NaN NaN NaN 13.486 -1.335 1918 5 NaN NaN NaN NaN NaN NaN 19.947 0.918 1918 6 NaN NaN NaN NaN NaN NaN 22.852 0.264 1918 7 NaN NaN NaN NaN NaN NaN 22.647 -1.733 1918 8 NaN NaN NaN NaN NaN NaN 24.524 0.441 1918 9 NaN NaN NaN NaN NaN NaN 18.621 -2.392 1918 10 NaN NaN NaN NaN NaN NaN 16.738 1.918 1918 11 NaN NaN NaN NaN NaN NaN 9.549 -0.059 1918 12 NaN NaN NaN NaN NaN NaN 7.653 2.257 1919 1 NaN NaN NaN NaN NaN NaN 4.537 0.416