% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30868 % Primary Name: CHALYBEATE SPRINGS % Record Type: TAVG % Country: United States % State: NC % Latitude: 36.00000 +/- 0.00833 % Longitude: -79.00000 +/- 0.00833 % Elevation (m): 152.40 +/- 0.15 % # of Months: 100 % % Alternate Names: Missing Station ID - 311655 % % IDs: coop - 311655 % ghcnd - USC00311655 % ncdc - 12003877 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b538f0b39e61191be39102c4ec7a3009 % Raw Data Hash: a7bee4b3606acb3d47ff9baa7a242017 % Adj Data Hash: 60a6e2c2f44c44d7cab1858842ce1b49 % % 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 1904 4 NaN NaN NaN NaN NaN NaN 12.536 -2.218 1904 5 NaN NaN NaN NaN NaN NaN 18.676 -0.613 1904 6 NaN NaN NaN NaN NaN NaN 22.606 -0.444 1904 7 NaN NaN NaN NaN NaN NaN 24.309 -0.878 1904 8 NaN NaN NaN NaN NaN NaN 23.843 -0.832 1904 9 NaN NaN NaN NaN NaN NaN 21.054 -0.171 1904 10 NaN NaN NaN NaN NaN NaN 13.527 -1.225 1904 11 NaN NaN NaN NaN NaN NaN 8.470 -1.036 1904 12 NaN NaN NaN NaN NaN NaN 2.763 -1.918 1905 1 NaN NaN NaN NaN NaN NaN 0.933 -2.455 1905 2 NaN NaN NaN NaN NaN NaN -0.821 -5.545 1905 3 NaN NaN NaN NaN NaN NaN 10.781 1.536 1905 4 15.802 -0.234 0 0 15.802 -0.234 14.579 -0.176 1905 5 NaN NaN NaN NaN NaN NaN 20.233 0.944 1905 6 NaN NaN NaN NaN NaN NaN 23.351 0.301 1905 7 NaN NaN NaN NaN NaN NaN 24.923 -0.264 1905 8 NaN NaN NaN NaN NaN NaN 23.663 -1.012 1905 9 NaN NaN NaN NaN NaN NaN 22.135 0.911 1905 10 NaN NaN NaN NaN NaN NaN 14.553 -0.198 1905 11 11.047 0.259 0 0 11.047 0.259 9.530 0.024 1905 12 5.652 -0.311 0 0 5.652 -0.311 3.734 -0.947 1906 1 7.445 2.776 0 0 7.445 2.776 5.414 2.027 1906 2 5.570 -0.435 0 0 5.570 -0.435 3.608 -1.115 1906 3 8.171 -2.355 0 0 8.171 -2.355 6.333 -2.912 1906 4 16.928 0.892 0 0 16.928 0.892 15.891 1.136 1906 5 NaN NaN NaN NaN NaN NaN 18.753 -0.536 1906 6 25.096 0.764 0 0 25.096 0.764 23.364 0.314 1906 7 25.852 -0.617 0 0 25.852 -0.617 24.151 -1.036 1906 8 27.285 1.329 0 0 27.285 1.329 25.685 1.010 1906 9 24.573 2.067 0 0 24.573 2.067 23.237 2.012 1906 10 16.610 0.577 0 0 16.610 0.577 13.423 -1.329 1906 11 NaN NaN NaN NaN NaN NaN 9.838 0.331 1906 12 8.593 2.631 0 0 8.593 2.631 5.024 0.343 1907 1 8.847 4.178 0 0 8.847 4.178 7.538 4.150 1907 2 4.098 -1.907 0 0 4.098 -1.907 2.495 -2.228 1907 3 13.131 2.604 0 0 13.131 2.604 12.157 2.913 1907 4 11.390 -4.646 0 0 11.390 -4.646 10.668 -4.086 1907 5 19.339 -1.232 0 0 19.339 -1.232 17.823 -1.467 1907 6 21.792 -2.540 0 0 21.792 -2.540 20.431 -2.619 1907 7 26.308 -0.161 0 0 26.308 -0.161 25.506 0.319 1907 8 24.795 -1.161 0 0 24.795 -1.161 24.087 -0.588 1907 9 23.072 0.566 0 0 23.072 0.566 22.441 1.216 1907 10 14.086 -1.947 0 0 14.086 -1.947 12.809 -1.942 1907 11 9.533 -1.255 0 0 9.533 -1.255 8.314 -1.193 1907 12 6.613 0.651 0 0 6.613 0.651 4.597 -0.084 1908 1 4.558 -0.111 0 0 4.558 -0.111 2.444 -0.944 1908 2 4.452 -1.553 0 0 4.452 -1.553 1.479 -3.245 1908 3 14.539 4.013 0 0 14.539 4.013 12.341 3.097 1908 4 17.357 1.321 0 0 17.357 1.321 16.319 1.565 1908 5 20.248 -0.323 0 0 20.248 -0.323 19.087 -0.202 1908 6 23.359 -0.973 0 0 23.359 -0.973 22.130 -0.921 1908 7 25.594 -0.875 0 0 25.594 -0.875 24.849 -0.338 1908 8 24.094 -1.863 1 0 NaN NaN 23.237 -1.438 1908 9 20.590 -1.916 0 0 20.590 -1.916 19.937 -1.288 1908 10 15.363 -0.670 0 0 15.363 -0.670 13.911 -0.841 1908 11 11.603 0.815 1 0 NaN NaN 10.343 0.837 1908 12 7.256 1.294 0 0 7.256 1.294 5.357 0.677 1909 1 8.163 3.494 0 0 8.163 3.494 6.039 2.651 1909 2 9.982 3.977 0 0 9.982 3.977 7.617 2.894 1909 3 9.137 -1.389 0 0 9.137 -1.389 8.128 -1.116 1909 4 15.791 -0.245 1 0 NaN NaN 15.132 0.377 1909 5 19.245 -1.326 0 0 19.245 -1.326 18.030 -1.259 1909 6 25.290 0.958 0 0 25.290 0.958 23.893 0.843 1909 7 24.195 -2.273 0 0 24.195 -2.273 23.465 -1.722 1909 8 23.827 -2.129 0 0 23.827 -2.129 23.300 -1.375 1909 9 NaN NaN NaN NaN NaN NaN 19.914 -1.310 1909 10 14.100 -1.933 0 0 14.100 -1.933 12.814 -1.937 1909 11 11.661 0.873 1 0 NaN NaN 12.216 2.710 1909 12 3.542 -2.420 0 0 3.542 -2.420 2.110 -2.571 1910 1 5.732 1.063 0 0 5.732 1.063 3.586 0.199 1910 2 NaN NaN NaN NaN NaN NaN 3.014 -1.709 1910 3 13.499 2.973 1 0 NaN NaN 12.969 3.725 1910 4 15.710 -0.326 0 0 15.710 -0.326 15.280 0.526 1910 5 18.568 -2.003 0 0 18.568 -2.003 17.880 -1.410 1910 6 22.255 -2.076 0 0 22.255 -2.076 21.133 -1.917 1910 7 25.556 -0.912 0 0 25.556 -0.912 25.097 -0.090 1910 8 24.182 -1.774 0 0 24.182 -1.774 23.832 -0.843 1910 9 22.065 -0.441 0 0 22.065 -0.441 22.309 1.085 1910 10 16.755 0.722 0 0 16.755 0.722 16.095 1.343 1910 11 7.425 -3.363 0 0 7.425 -3.363 6.864 -2.642 1910 12 2.608 -3.354 0 0 2.608 -3.354 1.425 -3.256 1911 1 8.255 3.586 0 0 8.255 3.586 5.856 2.469 1911 2 8.156 2.151 1 0 NaN NaN 6.059 1.336 1911 3 9.995 -0.531 0 0 9.995 -0.531 8.183 -1.062 1911 4 13.602 -2.434 0 0 13.602 -2.434 12.432 -2.322 1911 5 19.637 -0.934 0 0 19.637 -0.934 20.448 1.158 1911 6 22.171 -2.161 0 0 22.171 -2.161 24.317 1.267 1911 7 24.651 -1.817 0 0 24.651 -1.817 25.220 0.032 1911 8 26.113 0.156 0 0 26.113 0.156 25.157 0.482 1911 9 24.897 2.391 0 0 24.897 2.391 23.630 2.405 1911 10 17.765 1.732 0 0 17.765 1.732 15.680 0.929 1911 11 9.468 -1.319 0 0 9.468 -1.319 7.715 -1.791 1911 12 7.795 1.833 0 0 7.795 1.833 6.133 1.452 1912 1 1.682 -2.987 0 0 1.682 -2.987 -0.513 -3.900 1912 2 3.697 -2.308 0 0 3.697 -2.308 1.590 -3.133 1912 3 10.044 -0.483 0 0 10.044 -0.483 8.096 -1.148 1912 4 16.622 0.586 0 0 16.622 0.586 15.927 1.172 1912 5 20.455 -0.116 0 0 20.455 -0.116 19.470 0.180 1912 6 22.948 -1.383 0 0 22.948 -1.383 22.025 -1.025 1912 7 25.640 -0.828 0 0 25.640 -0.828 24.794 -0.393 1912 8 25.131 -0.826 0 0 25.131 -0.826 24.417 -0.258 1912 9 24.377 1.871 0 0 24.377 1.871 23.406 2.181 1912 10 16.590 0.557 0 0 16.590 0.557 15.202 0.450 1912 11 9.518 -1.269 0 0 9.518 -1.269 9.186 -0.320 1912 12 8.085 2.123 0 0 8.085 2.123 5.759 1.078 1913 1 NaN NaN NaN NaN NaN NaN 7.965 4.577 1913 2 7.580 1.575 0 0 7.580 1.575 4.704 -0.019 1913 3 13.402 2.875 0 0 13.402 2.875 10.927 1.682 1913 4 15.690 -0.346 0 0 15.690 -0.346 14.505 -0.249 1913 5 20.944 0.373 0 0 20.944 0.373 19.533 0.244 1913 6 23.417 -0.915 0 0 23.417 -0.915 22.418 -0.632 1913 7 26.874 0.406 0 0 26.874 0.406 25.766 0.579 1913 8 24.724 -1.232 0 0 24.724 -1.232 23.921 -0.754 1913 9 20.555 -1.951 0 0 20.555 -1.951 19.791 -1.433 1913 10 15.803 -0.230 0 0 15.803 -0.230 14.620 -0.131 1913 11 9.952 -0.836 0 0 9.952 -0.836 9.767 0.261 1913 12 6.747 0.784 0 0 6.747 0.784 5.586 0.905 1914 1 6.893 2.224 0 0 6.893 2.224 5.120 1.732 1914 2 4.082 -1.923 0 0 4.082 -1.923 1.674 -3.049 1914 3 7.710 -2.816 0 0 7.710 -2.816 6.310 -2.935 1914 4 NaN NaN NaN NaN NaN NaN 14.499 -0.255 1914 5 20.363 -0.208 0 0 20.363 -0.208 19.673 0.384 1914 6 25.803 1.472 0 0 25.803 1.472 25.186 2.136 1914 7 25.571 -0.898 0 0 25.571 -0.898 24.844 -0.343 1914 8 NaN NaN NaN NaN NaN NaN 25.020 0.346 1914 9 NaN NaN NaN NaN NaN NaN 19.765 -1.459 1914 10 NaN NaN NaN NaN NaN NaN 15.465 0.713 1914 11 NaN NaN NaN NaN NaN NaN 8.970 -0.536 1914 12 NaN NaN NaN NaN NaN NaN 2.234 -2.446 1915 1 NaN NaN NaN NaN NaN NaN 3.435 0.048 1915 2 NaN NaN NaN NaN NaN NaN 5.665 0.941 1915 3 NaN NaN NaN NaN NaN NaN 4.801 -4.444 1915 4 NaN NaN NaN NaN NaN NaN 15.307 0.552 1915 5 NaN NaN NaN NaN NaN NaN 19.317 0.028 1915 6 NaN NaN NaN NaN NaN NaN 21.682 -1.368 1915 7 NaN NaN NaN NaN NaN NaN 25.070 -0.117