% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29671 % Primary Name: RAMHURST % Record Type: TAVG % Country: United States % State: GA % Latitude: 34.70000 +/- 0.00005 % Longitude: -84.73330 +/- 0.00005 % Elevation (m): 233.17 +/- 0.15 % # of Months: 128 % % Alternate Names: Missing Station ID - 97350 % % IDs: coop - 97350 % ghcnd - USC00097350 % ncdc - 12001506 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 59c9163b7646399403876f90cca50cd5 % Raw Data Hash: 45944119f9d903d1fc5ced5b295dbe2e % Adj Data Hash: 91b21e3217ae2e772688abc90af0b3b9 % % 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 1910 1 NaN NaN NaN NaN NaN NaN 3.708 -0.367 1910 2 NaN NaN NaN NaN NaN NaN 3.655 -2.255 1910 3 NaN NaN NaN NaN NaN NaN 13.858 3.650 1910 4 NaN NaN NaN NaN NaN NaN 14.874 -0.623 1910 5 NaN NaN NaN NaN NaN NaN 17.508 -2.247 1910 6 NaN NaN NaN NaN NaN NaN 22.026 -1.605 1910 7 NaN NaN NaN NaN NaN NaN 24.595 -0.875 1910 8 NaN NaN NaN NaN NaN NaN 24.675 -0.486 1910 9 NaN NaN NaN NaN NaN NaN 23.895 1.817 1910 10 NaN NaN NaN NaN NaN NaN 16.797 1.375 1910 11 NaN NaN NaN NaN NaN NaN 7.780 -1.980 1910 12 NaN NaN NaN NaN NaN NaN 2.565 -3.027 1911 1 9.310 4.828 0 0 8.849 4.367 6.663 2.589 1911 2 10.894 4.576 0 0 10.429 4.112 8.626 2.717 1911 3 12.095 1.480 0 0 11.714 1.099 10.970 0.762 1911 4 15.815 -0.089 0 0 15.590 -0.314 15.032 -0.465 1911 5 20.970 0.807 0 0 20.903 0.740 20.814 1.059 1911 6 24.529 0.491 0 0 24.568 0.530 25.232 1.602 1911 7 23.426 -2.451 0 0 23.491 -2.387 24.076 -1.394 1911 8 24.491 -1.077 0 0 24.490 -1.079 24.775 -0.386 1911 9 24.648 2.163 1 0 NaN NaN 25.518 3.440 1911 10 19.173 3.344 0 0 18.899 3.070 18.009 2.588 1911 11 9.302 -0.866 0 0 8.939 -1.228 7.782 -1.978 1911 12 9.404 3.405 0 0 8.988 2.988 7.668 2.076 1912 1 3.484 -0.998 0 0 3.023 -1.459 1.191 -2.884 1912 2 5.361 -0.956 0 0 4.896 -1.421 2.701 -3.209 1912 3 10.092 -0.523 0 0 9.711 -0.904 8.791 -1.417 1912 4 17.105 1.200 0 0 16.880 0.976 16.203 0.706 1912 5 19.807 -0.356 0 0 19.740 -0.423 19.799 0.043 1912 6 21.657 -2.381 0 0 21.696 -2.342 22.202 -1.429 1912 7 24.018 -1.860 0 0 24.083 -1.795 24.785 -0.685 1912 8 23.634 -1.934 0 0 23.633 -1.936 24.506 -0.654 1912 9 23.137 0.652 0 0 23.000 0.515 23.885 1.807 1912 10 17.444 1.615 0 0 17.170 1.341 16.311 0.890 1912 11 9.330 -0.837 0 0 8.968 -1.200 7.816 -1.944 1912 12 7.810 1.810 0 0 7.393 1.394 5.562 -0.030 1913 1 10.807 6.325 0 0 10.346 5.864 8.072 3.997 1913 2 7.157 0.840 0 0 6.692 0.375 4.996 -0.914 1913 3 12.319 1.704 0 0 11.938 1.323 10.475 0.267 1913 4 15.241 -0.663 0 0 15.017 -0.888 14.763 -0.734 1913 5 20.319 0.157 0 0 20.253 0.090 19.766 0.011 1913 6 22.992 -1.046 0 0 23.031 -1.007 23.817 0.187 1913 7 25.668 -0.210 0 0 25.733 -0.145 26.377 0.907 1913 8 25.029 -0.539 0 0 25.028 -0.540 25.809 0.648 1913 9 21.297 -1.188 0 0 21.160 -1.325 21.757 -0.321 1913 10 15.106 -0.723 0 0 14.832 -0.997 13.844 -1.577 1913 11 11.723 1.556 1 0 NaN NaN 10.856 1.096 1913 12 7.029 1.029 0 0 6.612 0.613 6.352 0.760 1914 1 6.399 1.917 0 0 5.938 1.456 5.523 1.448 1914 2 6.012 -0.306 0 0 5.547 -0.770 4.394 -1.516 1914 3 8.500 -2.115 0 0 8.119 -2.496 7.720 -2.488 1914 4 15.593 -0.311 0 0 15.368 -0.536 15.468 -0.029 1914 5 19.757 -0.406 0 0 19.690 -0.473 19.580 -0.175 1914 6 26.941 2.904 0 0 26.981 2.943 26.674 3.043 1914 7 25.965 0.088 0 0 26.030 0.153 25.957 0.486 1914 8 24.403 -1.165 0 0 24.402 -1.166 24.670 -0.491 1914 9 21.322 -1.163 0 0 21.185 -1.300 21.562 -0.516 1914 10 16.706 0.878 0 0 16.432 0.604 15.903 0.481 1914 11 10.320 0.153 0 0 9.958 -0.210 9.448 -0.312 1914 12 4.864 -1.136 0 0 4.447 -1.552 3.415 -2.177 1915 1 4.958 0.476 0 0 4.497 0.015 3.077 -0.998 1915 2 8.125 1.808 0 0 7.660 1.343 6.231 0.321 1915 3 6.011 -4.604 0 0 5.630 -4.985 5.234 -4.974 1915 4 16.745 0.841 0 0 16.520 0.616 16.762 1.265 1915 5 21.417 1.254 0 0 21.350 1.187 20.979 1.224 1915 6 22.950 -1.088 0 0 22.989 -1.049 23.584 -0.046 1915 7 25.382 -0.495 0 0 25.447 -0.430 25.013 -0.458 1915 8 24.069 -1.499 0 0 24.068 -1.500 24.027 -1.134 1915 9 23.181 0.697 0 0 23.045 0.560 23.249 1.172 1915 10 17.905 2.076 0 0 17.631 1.802 16.945 1.523 1915 11 12.083 1.916 0 0 11.721 1.554 11.386 1.626 1915 12 5.487 -0.512 0 0 5.071 -0.929 5.282 -0.310 1916 1 9.470 4.988 0 0 9.009 4.527 7.705 3.630 1916 2 6.064 -0.253 0 0 5.599 -0.718 4.606 -1.304 1916 3 10.231 -0.385 0 0 9.850 -0.765 9.286 -0.922 1916 4 14.810 -1.095 0 0 14.585 -1.319 14.591 -0.906 1916 5 21.021 0.859 0 0 20.955 0.792 20.756 1.000 1916 6 22.569 -1.469 0 0 22.608 -1.430 22.785 -0.846 1916 7 24.655 -1.223 0 0 24.720 -1.158 24.701 -0.770 1916 8 25.325 -0.243 0 0 25.323 -0.245 25.272 0.111 1916 9 21.660 -0.825 0 0 21.523 -0.962 21.554 -0.524 1916 10 15.702 -0.127 0 0 15.428 -0.401 15.532 0.110 1916 11 10.326 0.159 0 0 9.964 -0.204 10.041 0.281 1916 12 5.932 -0.067 0 0 5.516 -0.484 5.064 -0.528 1917 1 8.221 3.739 0 0 7.760 3.278 6.262 2.187 1917 2 6.848 0.531 0 0 6.383 0.066 4.911 -0.998 1917 3 11.182 0.567 0 0 10.802 0.186 10.324 0.116 1917 4 16.377 0.472 0 0 16.152 0.247 16.123 0.625 1917 5 16.231 -3.932 0 0 16.164 -3.999 16.079 -3.677 1917 6 22.433 -1.605 0 0 22.472 -1.566 22.794 -0.836 1917 7 24.291 -1.587 0 0 24.356 -1.522 24.799 -0.671 1917 8 23.478 -2.090 0 0 23.477 -2.091 23.847 -1.314 1917 9 20.431 -2.053 0 4 20.658 -1.827 21.329 -0.748 1917 10 12.318 -3.511 0 0 12.772 -3.056 11.937 -3.485 1917 11 8.663 -1.504 0 0 9.265 -0.903 8.638 -1.122 1917 12 1.068 -4.931 0 0 1.759 -4.240 1.049 -4.543 1918 1 0.931 -3.551 0 0 1.696 -2.786 -1.134 -5.208 1918 2 9.416 3.099 0 0 10.187 3.870 7.953 2.043 1918 3 14.000 3.385 0 0 14.632 4.017 13.859 3.651 1918 4 14.388 -1.516 0 0 14.761 -1.143 14.132 -1.366 1918 5 20.838 0.675 0 0 20.948 0.785 20.652 0.896 1918 6 23.198 -0.840 0 0 23.133 -0.905 24.393 0.763 1918 7 22.450 -3.427 0 0 22.342 -3.535 23.637 -1.833 1918 8 25.016 -0.552 0 0 25.018 -0.550 25.897 0.736 1918 9 19.267 -3.218 0 0 19.494 -2.991 19.604 -2.474 1918 10 17.913 2.085 0 0 18.368 2.539 17.615 2.193 1918 11 9.738 -0.429 0 0 10.340 0.173 9.315 -0.445 1918 12 8.835 2.835 0 0 9.526 3.527 8.196 2.604 1919 1 5.135 0.653 0 0 5.900 1.418 3.897 -0.177 1919 2 6.497 0.179 0 0 7.268 0.951 5.198 -0.712 1919 3 11.082 0.467 0 0 11.714 1.099 10.618 0.410 1919 4 15.267 -0.638 0 0 15.640 -0.265 15.162 -0.336 1919 5 19.239 -0.924 0 0 19.349 -0.814 18.551 -1.204 1919 6 23.740 -0.298 0 0 23.675 -0.362 24.447 0.816 1919 7 24.427 -1.451 0 0 24.319 -1.558 25.281 -0.189 1919 8 23.455 -2.113 0 0 23.457 -2.112 24.741 -0.419 1919 9 20.657 -1.828 0 0 20.884 -1.601 22.618 0.540 1919 10 20.463 4.635 0 0 20.918 5.089 20.634 5.213 1919 11 10.900 0.733 0 0 11.502 1.334 11.164 1.404 1919 12 5.812 -0.187 0 0 6.504 0.504 5.527 -0.065 1920 1 5.643 1.161 0 0 6.408 1.926 4.608 0.533 1920 2 5.041 -1.276 0 0 5.813 -0.505 4.392 -1.518 1920 3 9.335 -1.280 0 0 9.967 -0.648 8.838 -1.370 1920 4 14.422 -1.483 0 0 14.795 -1.110 14.463 -1.034 1920 5 18.244 -1.919 0 0 18.354 -1.809 18.732 -1.024 1920 6 22.083 -1.955 0 0 22.018 -2.019 22.972 -0.659 1920 7 23.219 -2.658 0 0 23.111 -2.766 24.586 -0.884 1920 8 21.910 -3.658 0 0 21.912 -3.656 23.679 -1.482 1920 9 21.075 -1.410 0 0 21.302 -1.183 23.005 0.927 1920 10 NaN NaN NaN NaN NaN NaN 15.582 0.160 1920 11 8.207 -1.960 0 0 8.808 -1.359 8.118 -1.642 1920 12 5.614 -0.385 0 0 6.306 0.306 4.832 -0.760 1921 1 7.031 2.549 0 0 7.796 3.314 6.009 1.935 1921 2 8.205 1.888 0 0 8.976 2.659 7.036 1.126 1921 3 15.926 5.311 0 0 16.558 5.943 15.456 5.248 1921 4 15.125 -0.780 0 0 15.498 -0.406 15.178 -0.320 1921 5 18.757 -1.406 0 0 18.867 -1.296 19.134 -0.622 1921 6 24.910 0.872 0 0 24.845 0.807 25.546 1.916 1921 7 NaN NaN NaN NaN NaN NaN 26.321 0.851 1921 8 NaN NaN NaN NaN NaN NaN 24.979 -0.182 1921 9 NaN NaN NaN NaN NaN NaN 25.806 3.728 1921 10 NaN NaN NaN NaN NaN NaN 14.004 -1.417 1921 11 12.052 1.884 0 0 12.653 2.486 11.724 1.964 1921 12 8.286 2.286 1 0 NaN NaN 7.490 1.897 1922 1 6.392 1.910 0 0 7.157 2.675 4.565 0.490 1922 2 NaN NaN NaN NaN NaN NaN 8.430 2.521 1922 3 NaN NaN NaN NaN NaN NaN 11.028 0.820 1922 4 NaN NaN NaN NaN NaN NaN 16.958 1.461 1922 5 NaN NaN NaN NaN NaN NaN 19.941 0.186 1922 6 NaN NaN NaN NaN NaN NaN 24.099 0.468 1922 7 NaN NaN NaN NaN NaN NaN 24.993 -0.477 1922 8 NaN NaN NaN NaN NaN NaN 23.928 -1.232 1922 9 NaN NaN NaN NaN NaN NaN 23.507 1.430 1922 10 NaN NaN NaN NaN NaN NaN 15.892 0.471 1922 11 NaN NaN NaN NaN NaN NaN 10.718 0.958 1922 12 NaN NaN NaN NaN NaN NaN 9.026 3.434 1923 1 NaN NaN NaN NaN NaN NaN 7.086 3.012