% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29362 % Primary Name: DUE WEST % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.35000 +/- 0.00005 % Longitude: -82.36670 +/- 0.00005 % Elevation (m): 217.00 +/- 0.05 % # of Months: 69 % % Alternate Names: Missing Station ID - 382580 % % IDs: coop - 382580 % ghcnd - USC00382580 % ncdc - 12004892 % ncdc - 20017481 % wban - 93871 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7385b6ce71a280a81857304de2c2f76b % Raw Data Hash: ac1c550ee6021a7a8506ecdc243877de % Adj Data Hash: b7f385ef43f382d5637a17ed71ac8412 % % 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 9 NaN NaN NaN NaN NaN NaN 24.791 2.276 1900 10 NaN NaN NaN NaN NaN NaN 18.411 2.301 1900 11 NaN NaN NaN NaN NaN NaN 12.122 1.253 1900 12 NaN NaN NaN NaN NaN NaN 5.893 -0.563 1901 1 NaN NaN NaN NaN NaN NaN 5.572 0.111 1901 2 NaN NaN NaN NaN NaN NaN 4.344 -2.546 1901 3 NaN NaN NaN NaN NaN NaN 10.553 -0.503 1901 4 NaN NaN NaN NaN NaN NaN 12.125 -4.075 1901 5 NaN NaN NaN NaN NaN NaN 20.489 -0.153 1901 6 NaN NaN NaN NaN NaN NaN 23.938 -0.324 1901 7 NaN NaN NaN NaN NaN NaN 26.810 0.670 1901 8 NaN NaN NaN NaN NaN NaN 25.171 -0.592 1901 9 21.965 -1.745 0 0 21.965 -1.745 21.701 -0.814 1901 10 16.300 -1.005 0 0 16.300 -1.005 14.997 -1.113 1901 11 8.867 -3.197 0 0 8.867 -3.197 7.716 -3.152 1901 12 5.935 -1.715 0 0 5.935 -1.715 4.500 -1.955 1902 1 4.963 -1.693 0 0 4.963 -1.693 3.696 -1.765 1902 2 4.173 -3.912 0 0 4.173 -3.912 2.445 -4.445 1902 3 11.834 -0.417 0 0 11.834 -0.417 10.630 -0.426 1902 4 15.627 -1.769 0 0 15.627 -1.769 14.486 -1.714 1902 5 23.550 1.714 0 0 23.550 1.714 22.232 1.590 1902 6 NaN NaN NaN NaN NaN NaN 24.764 0.502 1902 7 NaN NaN NaN NaN NaN NaN 26.609 0.469 1902 8 25.982 -0.976 0 0 25.982 -0.976 25.281 -0.482 1902 9 22.069 -1.641 0 0 22.069 -1.641 21.378 -1.137 1902 10 17.925 0.620 0 0 17.925 0.620 16.358 0.248 1902 11 15.493 3.429 1 0 NaN NaN 13.697 2.829 1902 12 7.464 -0.186 1 0 NaN NaN 6.059 -0.396 1903 1 5.830 -0.826 1 0 NaN NaN 4.312 -1.149 1903 2 NaN NaN NaN NaN NaN NaN 7.067 0.177 1903 3 15.214 2.963 0 0 15.214 2.963 14.162 3.106 1903 4 15.475 -1.921 0 0 15.475 -1.921 14.734 -1.466 1903 5 21.137 -0.699 1 0 NaN NaN 20.546 -0.096 1903 6 23.284 -2.173 0 0 23.284 -2.173 21.844 -2.418 1903 7 26.713 -0.622 1 0 NaN NaN 26.203 0.063 1903 8 26.455 -0.503 0 0 26.455 -0.503 26.236 0.473 1903 9 22.502 -1.208 0 0 22.502 -1.208 21.949 -0.566 1903 10 17.427 0.122 0 0 17.427 0.122 15.081 -1.029 1903 11 NaN NaN NaN NaN NaN NaN 9.241 -1.627 1903 12 4.128 -3.522 0 0 4.128 -3.522 3.135 -3.321 1904 1 2.840 -3.816 0 0 2.840 -3.816 2.741 -2.720 1904 2 5.290 -2.795 0 0 5.290 -2.795 4.288 -2.602 1904 3 12.628 0.377 0 0 12.628 0.377 11.607 0.551 1904 4 15.345 -2.050 0 0 15.345 -2.050 13.789 -2.412 1904 5 21.631 -0.206 0 0 21.631 -0.206 20.038 -0.604 1904 6 25.013 -0.444 0 0 25.013 -0.444 23.904 -0.358 1904 7 26.458 -0.877 0 0 26.458 -0.877 25.419 -0.721 1904 8 24.172 -2.786 1 0 NaN NaN 24.568 -1.195 1904 9 23.629 -0.081 1 0 NaN NaN 22.970 0.455 1904 10 17.376 0.071 0 0 17.376 0.071 15.193 -0.917 1904 11 11.493 -0.570 0 0 11.493 -0.570 9.793 -1.075 1904 12 7.558 -0.092 0 0 7.558 -0.092 5.213 -1.242 1905 1 4.503 -2.153 0 0 4.503 -2.153 2.696 -2.765 1905 2 3.012 -5.073 0 0 3.012 -5.073 1.460 -5.430 1905 3 14.230 1.979 0 0 14.230 1.979 12.956 1.900 1905 4 16.987 -0.409 0 0 16.987 -0.409 16.232 0.031 1905 5 22.363 0.526 1 0 NaN NaN 21.502 0.860 1905 6 25.942 0.484 0 0 25.942 0.484 25.311 1.048 1905 7 26.513 -0.822 0 0 26.513 -0.822 25.974 -0.166 1905 8 NaN NaN NaN NaN NaN NaN 24.544 -1.219 1905 9 24.315 0.605 0 0 24.315 0.605 23.965 1.451 1905 10 17.724 0.419 0 0 17.724 0.419 15.915 -0.195 1905 11 13.713 1.650 0 0 13.713 1.650 11.348 0.480 1905 12 6.868 -0.782 0 0 6.868 -0.782 4.818 -1.638 1906 1 8.081 1.425 0 0 8.081 1.425 6.517 1.056 1906 2 8.245 0.160 0 0 8.245 0.160 5.730 -1.160 1906 3 10.271 -1.980 0 0 10.271 -1.980 8.737 -2.319 1906 4 18.040 0.645 0 0 18.040 0.645 17.195 0.995 1906 5 20.873 -0.964 0 0 20.873 -0.964 19.965 -0.677 1906 6 24.492 -0.965 1 0 NaN NaN 24.470 0.207 1906 7 24.740 -2.595 0 0 24.740 -2.595 24.911 -1.229 1906 8 26.367 -0.591 0 0 26.367 -0.591 26.339 0.576 1906 9 24.217 0.507 0 0 24.217 0.507 24.222 1.707 1906 10 16.174 -1.131 0 0 16.174 -1.131 14.544 -1.566 1906 11 12.625 0.562 0 0 12.625 0.562 11.099 0.230 1906 12 8.935 1.285 0 0 8.935 1.285 7.191 0.736 1907 1 11.375 4.719 0 0 11.375 4.719 9.943 4.482 1907 2 7.980 -0.105 0 0 7.980 -0.105 5.423 -1.467 1907 3 15.940 3.689 0 0 15.940 3.689 14.925 3.869 1907 4 13.243 -4.152 0 0 13.243 -4.152 12.463 -3.737 1907 5 20.770 -1.067 0 0 20.770 -1.067 19.710 -0.932 1907 6 23.456 -2.001 0 0 23.456 -2.001 22.763 -1.500 1907 7 27.049 -0.286 0 0 27.049 -0.286 26.581 0.441 1907 8 26.131 -0.827 0 0 26.131 -0.827 25.486 -0.277 1907 9 NaN NaN NaN NaN NaN NaN 23.503 0.988 1907 10 NaN NaN NaN NaN NaN NaN 14.508 -1.603 1907 11 NaN NaN NaN NaN NaN NaN 9.680 -1.188 1907 12 7.363 -0.287 0 0 7.363 -0.287 5.739 -0.716 1908 1 5.960 -0.696 0 0 5.960 -0.696 4.547 -0.914 1908 2 NaN NaN NaN NaN NaN NaN 3.564 -3.326 1908 3 NaN NaN NaN NaN NaN NaN 14.756 3.700 1908 4 NaN NaN NaN NaN NaN NaN 18.096 1.895 1908 5 NaN NaN NaN NaN NaN NaN 21.077 0.435 1908 6 NaN NaN NaN NaN NaN NaN 23.671 -0.591 1908 7 NaN NaN NaN NaN NaN NaN 25.704 -0.437 1908 8 NaN NaN NaN NaN NaN NaN 25.068 -0.695 1908 9 NaN NaN NaN NaN NaN NaN 21.457 -1.058 1908 10 NaN NaN NaN NaN NaN NaN 14.759 -1.351 1908 11 NaN NaN NaN NaN NaN NaN 12.343 1.475 1908 12 NaN NaN NaN NaN NaN NaN 8.118 1.663 1909 1 NaN NaN NaN NaN NaN NaN 7.642 2.181