% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31074 % Primary Name: ROUGEMONT % Record Type: TAVG % Country: United States % State: NC % Latitude: 36.21667 +/- 0.00833 % Longitude: -78.89092 +/- 0.03407 % Elevation (m): 164.60 +/- 0.05 % # of Months: 106 % % IDs: coop - 317499 % ghcnd - USC00317499 % ncdc - 20013989 % nws - RGMN7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9cf3131e6608262b271d1f41dbde8b59 % Raw Data Hash: 3d4c036858856e867cd255b246585cfd % Adj Data Hash: d6a7e59aa63e549a84dd6c04b7116d7e % % 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 1912 11 NaN NaN NaN NaN NaN NaN 9.186 -0.320 1912 12 NaN NaN NaN NaN NaN NaN 5.759 1.078 1913 1 NaN NaN NaN NaN NaN NaN 7.965 4.577 1913 2 NaN NaN NaN NaN NaN NaN 4.704 -0.019 1913 3 NaN NaN NaN NaN NaN NaN 10.927 1.682 1913 4 NaN NaN NaN NaN NaN NaN 14.505 -0.249 1913 5 NaN NaN NaN NaN NaN NaN 19.533 0.244 1913 6 NaN NaN NaN NaN NaN NaN 22.418 -0.632 1913 7 NaN NaN NaN NaN NaN NaN 25.766 0.579 1913 8 NaN NaN NaN NaN NaN NaN 23.921 -0.754 1913 9 NaN NaN NaN NaN NaN NaN 19.791 -1.433 1913 10 NaN NaN NaN NaN NaN NaN 14.620 -0.131 1913 11 10.163 0.506 1 0 NaN NaN 9.767 0.261 1913 12 4.695 -0.136 0 0 4.695 -0.136 5.586 0.905 1914 1 NaN NaN NaN NaN NaN NaN 5.120 1.732 1914 2 1.602 -3.272 1 0 NaN NaN 1.674 -3.049 1914 3 5.632 -3.763 0 0 5.632 -3.763 6.310 -2.935 1914 4 13.707 -1.198 0 0 13.707 -1.198 14.499 -0.255 1914 5 20.112 0.672 0 0 20.112 0.672 19.673 0.384 1914 6 25.246 2.046 0 0 25.246 2.046 25.186 2.136 1914 7 24.711 -0.626 0 0 24.711 -0.626 24.844 -0.343 1914 8 24.435 -0.390 0 0 24.435 -0.390 25.020 0.346 1914 9 19.570 -1.805 0 0 19.570 -1.805 19.765 -1.459 1914 10 15.442 0.540 0 0 15.442 0.540 15.465 0.713 1914 11 8.965 -0.691 0 0 8.965 -0.691 8.970 -0.536 1914 12 1.124 -3.707 0 0 1.124 -3.707 2.234 -2.446 1915 1 3.678 0.140 0 0 3.678 0.140 3.435 0.048 1915 2 5.020 0.146 0 0 5.020 0.146 5.665 0.941 1915 3 NaN NaN NaN NaN NaN NaN 4.801 -4.444 1915 4 13.235 -1.670 0 0 13.235 -1.670 15.307 0.552 1915 5 20.105 0.665 0 0 20.105 0.665 19.317 0.028 1915 6 22.128 -1.073 0 0 22.128 -1.073 21.682 -1.368 1915 7 25.445 0.108 0 0 25.445 0.108 25.070 -0.117 1915 8 24.136 -0.690 0 0 24.136 -0.690 24.325 -0.350 1915 9 22.172 0.797 0 0 22.172 0.797 22.234 1.010 1915 10 16.389 1.487 0 0 16.389 1.487 16.004 1.253 1915 11 9.686 0.030 0 0 9.686 0.030 10.491 0.985 1915 12 3.138 -1.693 0 0 3.138 -1.693 3.189 -1.491 1916 1 6.365 2.827 0 0 6.365 2.827 6.642 3.254 1916 2 5.303 0.429 0 0 5.303 0.429 4.169 -0.555 1916 3 8.435 -0.959 0 0 8.435 -0.959 8.465 -0.779 1916 4 12.997 -1.908 0 0 12.997 -1.908 13.860 -0.894 1916 5 20.779 1.339 0 0 20.779 1.339 20.784 1.494 1916 6 22.079 -1.121 0 0 22.079 -1.121 21.851 -1.199 1916 7 24.389 -0.949 0 0 24.389 -0.949 24.266 -0.922 1916 8 24.352 -0.474 0 0 24.352 -0.474 24.578 -0.097 1916 9 20.002 -1.373 0 0 20.002 -1.373 20.238 -0.986 1916 10 14.384 -0.518 0 0 14.384 -0.518 14.705 -0.047 1916 11 9.572 -0.085 0 0 9.572 -0.085 9.947 0.440 1916 12 4.994 0.162 0 0 4.994 0.162 3.832 -0.849 1917 1 5.598 2.061 0 0 5.598 2.061 5.097 1.710 1917 2 4.464 -0.409 0 0 4.464 -0.409 3.583 -1.141 1917 3 7.668 -1.727 0 0 7.668 -1.727 8.319 -0.925 1917 4 14.828 -0.076 0 0 14.828 -0.076 15.405 0.651 1917 5 16.373 -3.067 0 0 16.373 -3.067 16.473 -2.817 1917 6 22.164 -1.036 0 0 22.164 -1.036 22.636 -0.414 1917 7 23.687 -1.651 0 0 23.687 -1.651 24.487 -0.700 1917 8 23.924 -0.901 0 0 23.924 -0.901 24.047 -0.628 1917 9 18.704 -2.671 1 0 NaN NaN 19.077 -2.147 1917 10 12.953 -1.949 0 0 12.953 -1.949 11.978 -2.773 1917 11 8.193 -1.463 0 0 8.193 -1.463 7.976 -1.530 1917 12 0.458 -4.373 0 0 0.458 -4.373 -0.917 -5.598 1918 1 0.795 -2.743 0 0 0.795 -2.743 -1.991 -5.379 1918 2 5.605 0.731 1 0 NaN NaN 6.361 1.638 1918 3 11.461 2.066 0 0 11.461 2.066 11.947 2.702 1918 4 10.627 -4.278 0 0 10.627 -4.278 12.871 -1.883 1918 5 20.682 1.242 0 0 20.682 1.242 21.012 1.723 1918 6 21.399 -1.801 0 0 21.399 -1.801 22.138 -0.912 1918 7 22.553 -2.784 0 0 22.553 -2.784 22.964 -2.223 1918 8 24.936 0.111 0 0 24.936 0.111 25.306 0.631 1918 9 19.260 -2.115 0 0 19.260 -2.115 18.528 -2.697 1918 10 16.713 1.811 0 0 16.713 1.811 16.367 1.615 1918 11 8.987 -0.669 0 0 8.987 -0.669 9.238 -0.268 1918 12 7.022 2.191 0 0 7.022 2.191 6.414 1.733 1919 1 5.617 2.079 0 0 5.617 2.079 4.990 1.603 1919 2 4.636 -0.238 0 0 4.636 -0.238 3.694 -1.029 1919 3 10.329 0.934 0 0 10.329 0.934 10.156 0.911 1919 4 14.515 -0.390 0 0 14.515 -0.390 14.581 -0.174 1919 5 18.842 -0.598 0 0 18.842 -0.598 19.163 -0.127 1919 6 22.618 -0.582 1 0 NaN NaN 22.779 -0.272 1919 7 24.653 -0.684 0 0 24.653 -0.684 24.923 -0.265 1919 8 24.297 -0.528 0 0 24.297 -0.528 24.114 -0.561 1919 9 21.209 -0.165 0 0 21.209 -0.165 21.661 0.437 1919 10 19.885 4.983 0 0 19.885 4.983 19.267 4.515 1919 11 11.129 1.472 0 0 11.129 1.472 10.280 0.774 1919 12 3.904 -0.927 0 0 3.904 -0.927 3.076 -1.605 1920 1 3.146 -0.392 0 0 3.146 -0.392 2.666 -0.721 1920 2 3.166 -1.708 0 0 3.166 -1.708 1.978 -2.745 1920 3 8.844 -0.551 0 0 8.844 -0.551 8.846 -0.399 1920 4 13.145 -1.760 0 0 13.145 -1.760 13.521 -1.234 1920 5 16.724 -2.716 1 0 NaN NaN 16.601 -2.688 1920 6 22.360 -0.840 0 0 22.360 -0.840 22.222 -0.828 1920 7 24.321 -1.016 0 0 24.321 -1.016 23.996 -1.191 1920 8 24.120 -0.705 0 0 24.120 -0.705 23.493 -1.182 1920 9 23.807 2.432 0 0 23.807 2.432 22.066 0.841 1920 10 15.528 0.626 0 0 15.528 0.626 15.731 0.980 1920 11 8.847 -0.810 0 0 8.847 -0.810 8.785 -0.721 1920 12 4.346 -0.485 0 0 4.346 -0.485 4.471 -0.210 1921 1 4.544 1.006 1 0 NaN NaN 4.156 0.768 1921 2 NaN NaN NaN NaN NaN NaN 5.388 0.665 1921 3 14.192 4.797 0 0 14.192 4.797 14.240 4.995 1921 4 15.265 0.360 0 0 15.265 0.360 15.935 1.180 1921 5 17.077 -2.363 0 0 17.077 -2.363 17.652 -1.638 1921 6 23.193 -0.007 0 0 23.193 -0.007 23.735 0.684 1921 7 25.202 -0.136 0 0 25.202 -0.136 25.599 0.412 1921 8 NaN NaN NaN NaN NaN NaN 24.375 -0.300 1921 9 NaN NaN NaN NaN NaN NaN 25.169 3.944 1921 10 NaN NaN NaN NaN NaN NaN 14.489 -0.262 1921 11 11.745 2.089 0 0 11.745 2.089 11.580 2.074 1921 12 5.978 1.147 0 0 5.978 1.147 6.217 1.536 1922 1 NaN NaN NaN NaN NaN NaN 2.449 -0.939 1922 2 9.280 4.407 1 0 NaN NaN 6.791 2.067 1922 3 NaN NaN NaN NaN NaN NaN 10.240 0.996 1922 4 14.812 -0.093 0 0 14.812 -0.093 15.644 0.890 1922 5 18.997 -0.443 0 0 18.997 -0.443 19.428 0.139 1922 6 NaN NaN NaN NaN NaN NaN 23.644 0.593 1922 7 24.839 -0.499 0 0 24.839 -0.499 25.025 -0.162 1922 8 23.766 -1.059 0 0 23.766 -1.059 23.050 -1.625 1922 9 22.345 0.970 0 0 22.345 0.970 22.150 0.925 1922 10 17.677 2.776 0 0 17.677 2.776 15.473 0.722 1922 11 13.253 3.596 0 0 13.253 3.596 9.886 0.379 1922 12 12.561 7.730 0 0 12.561 7.730 6.264 1.583 1923 1 9.363 5.826 0 0 9.363 5.826 5.083 1.695 1923 2 NaN NaN NaN NaN NaN NaN 3.365 -1.358 1923 3 10.966 1.571 0 0 10.966 1.571 9.816 0.571 1923 4 NaN NaN NaN NaN NaN NaN 13.939 -0.815 1923 5 16.438 -3.002 0 0 16.438 -3.002 18.020 -1.270 1923 6 22.888 -0.312 0 0 22.888 -0.312 23.715 0.665 1923 7 24.675 -0.662 0 0 24.675 -0.662 24.642 -0.545 1923 8 NaN NaN NaN NaN NaN NaN 24.567 -0.108 1923 9 NaN NaN NaN NaN NaN NaN 21.986 0.762 1923 10 NaN NaN NaN NaN NaN NaN 14.143 -0.608 1923 11 NaN NaN NaN NaN NaN NaN 8.666 -0.840 1923 12 NaN NaN NaN NaN NaN NaN 8.668 3.987 1924 1 NaN NaN NaN NaN NaN NaN 2.912 -0.475 1924 2 NaN NaN NaN NaN NaN NaN 2.920 -1.804 1924 3 NaN NaN NaN NaN NaN NaN 7.795 -1.450 1924 4 NaN NaN NaN NaN NaN NaN 13.593 -1.162 1924 5 NaN NaN NaN NaN NaN NaN 17.327 -1.962 1924 6 NaN NaN NaN NaN NaN NaN 23.346 0.296 1924 7 NaN NaN NaN NaN NaN NaN 23.558 -1.629