% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29444 % Primary Name: LUGOFF % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.45000 +/- 0.00500 % Longitude: -80.65000 +/- 0.00500 % Elevation (m): 51.21 +/- 0.15 % # of Months: 35 % % Alternate Names: Missing Station ID - 385360 % % IDs: coop - 385360 % ghcnd - USC00385360 % ncdc - 12004906 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b078404d2492e937043f8b058764b384 % Raw Data Hash: 441ffea1fba8bdd5739f01f96877a466 % Adj Data Hash: 674221e4819ed67944fd0aa2b829185e % % 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 10 NaN NaN NaN NaN NaN NaN 18.747 2.061 1900 11 NaN NaN NaN NaN NaN NaN 12.881 1.330 1900 12 NaN NaN NaN NaN NaN NaN 6.090 -0.966 1901 1 NaN NaN NaN NaN NaN NaN 5.664 -0.319 1901 2 NaN NaN NaN NaN NaN NaN 4.338 -3.019 1901 3 NaN NaN NaN NaN NaN NaN 11.386 -0.288 1901 4 NaN NaN NaN NaN NaN NaN 13.023 -3.790 1901 5 NaN NaN NaN NaN NaN NaN 21.369 0.086 1901 6 NaN NaN NaN NaN NaN NaN 24.205 -0.529 1901 7 NaN NaN NaN NaN NaN NaN 26.969 0.402 1901 8 NaN NaN NaN NaN NaN NaN 25.933 -0.154 1901 9 NaN NaN NaN NaN NaN NaN 22.979 -0.061 1901 10 16.175 -1.209 1 0 NaN NaN 15.729 -0.956 1901 11 8.274 -3.976 0 0 8.274 -3.976 7.990 -3.561 1901 12 6.390 -1.364 0 0 6.390 -1.364 5.421 -1.635 1902 1 5.208 -1.473 0 0 5.208 -1.473 4.123 -1.860 1902 2 4.425 -3.631 0 0 4.425 -3.631 2.898 -4.459 1902 3 12.670 0.298 0 0 12.670 0.298 11.526 -0.148 1902 4 15.714 -1.798 0 0 15.714 -1.798 15.379 -1.435 1902 5 23.055 1.073 0 0 23.055 1.073 22.331 1.048 1902 6 25.755 0.322 0 0 25.755 0.322 25.090 0.355 1902 7 27.742 0.477 0 0 27.742 0.477 27.260 0.693 1902 8 26.076 -0.710 0 0 26.076 -0.710 25.417 -0.670 1902 9 22.551 -1.186 0 0 22.551 -1.186 22.243 -0.796 1902 10 18.397 1.013 0 0 18.397 1.013 17.246 0.561 1902 11 14.774 2.525 0 0 14.774 2.525 14.436 2.885 1902 12 NaN NaN NaN NaN NaN NaN 6.863 -0.193 1903 1 NaN NaN NaN NaN NaN NaN 5.387 -0.596 1903 2 NaN NaN NaN NaN NaN NaN 7.959 0.601 1903 3 NaN NaN NaN NaN NaN NaN 15.401 3.727 1903 4 NaN NaN NaN NaN NaN NaN 15.531 -1.283 1903 5 21.794 -0.188 0 0 21.794 -0.188 21.112 -0.171 1903 6 22.400 -3.033 1 0 NaN NaN 22.799 -1.936 1903 7 27.494 0.228 0 0 27.494 0.228 26.580 0.013 1903 8 27.029 0.243 0 0 27.029 0.243 26.466 0.379 1903 9 22.563 -1.174 0 0 22.563 -1.174 22.288 -0.751 1903 10 16.037 -1.347 0 0 16.037 -1.347 15.334 -1.352 1903 11 9.582 -2.667 0 0 9.582 -2.667 9.884 -1.667 1903 12 4.963 -2.791 0 0 4.963 -2.791 3.670 -3.386 1904 1 3.421 -3.261 0 0 3.421 -3.261 3.157 -2.826 1904 2 6.310 -1.746 0 0 6.310 -1.746 4.636 -2.722 1904 3 14.377 2.005 0 0 14.377 2.005 12.335 0.661 1904 4 15.220 -2.292 0 0 15.220 -2.292 14.789 -2.025 1904 5 21.305 -0.677 0 0 21.305 -0.677 20.604 -0.679 1904 6 24.928 -0.505 0 0 24.928 -0.505 24.276 -0.458 1904 7 26.261 -1.004 0 0 26.261 -1.004 25.798 -0.769 1904 8 NaN NaN NaN NaN NaN NaN 25.078 -1.010 1904 9 NaN NaN NaN NaN NaN NaN 22.851 -0.188 1904 10 NaN NaN NaN NaN NaN NaN 15.292 -1.393 1904 11 10.398 -1.851 0 0 10.398 -1.851 9.964 -1.587 1904 12 6.068 -1.687 0 0 6.068 -1.687 5.434 -1.622 1905 1 4.740 -1.942 0 0 4.740 -1.942 3.443 -2.540 1905 2 1.870 -6.186 0 0 1.870 -6.186 2.117 -5.240 1905 3 NaN NaN NaN NaN NaN NaN 13.446 1.772 1905 4 NaN NaN NaN NaN NaN NaN 16.432 -0.381 1905 5 NaN NaN NaN NaN NaN NaN 22.303 1.020 1905 6 NaN NaN NaN NaN NaN NaN 25.068 0.334 1905 7 NaN NaN NaN NaN NaN NaN 26.393 -0.173 1905 8 NaN NaN NaN NaN NaN NaN 24.846 -1.241 1905 9 24.333 0.596 0 0 24.333 0.596 23.888 0.849 1905 10 16.804 -0.580 0 0 16.804 -0.580 16.346 -0.340 1905 11 NaN NaN NaN NaN NaN NaN 11.650 0.099 1905 12 NaN NaN NaN NaN NaN NaN 5.949 -1.107 1906 1 NaN NaN NaN NaN NaN NaN 7.641 1.658 1906 2 NaN NaN NaN NaN NaN NaN 5.864 -1.494 1906 3 NaN NaN NaN NaN NaN NaN 9.704 -1.970 1906 4 NaN NaN NaN NaN NaN NaN 17.655 0.841 1906 5 NaN NaN NaN NaN NaN NaN 20.537 -0.746 1906 6 NaN NaN NaN NaN NaN NaN 25.000 0.266 1906 7 NaN NaN NaN NaN NaN NaN 25.404 -1.162 1906 8 NaN NaN NaN NaN NaN NaN 26.647 0.560 1906 9 NaN NaN NaN NaN NaN NaN 24.855 1.816 1906 10 NaN NaN NaN NaN NaN NaN 15.595 -1.090