% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31667 % Primary Name: SAXE % Record Type: TAVG % Country: United States % State: VA % Latitude: 36.88330 +/- 0.00005 % Longitude: -78.75000 +/- 0.00005 % Elevation (m): 94.49 +/- 0.15 % # of Months: 84 % % Alternate Names: Missing Station ID - 447560 % % IDs: coop - 447560 % ghcnd - USC00447560 % ncdc - 12005779 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2ea1ec70ed22ef991aaad618ddf538b5 % Raw Data Hash: b4a75e4c9bb624bac91f02198dde3e77 % Adj Data Hash: 7fc17e5294e672ddd0f97a905f2b86fe % % 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 1901 8 NaN NaN NaN NaN NaN NaN 24.608 -0.067 1901 9 NaN NaN NaN NaN NaN NaN 20.848 -0.376 1901 10 NaN NaN NaN NaN NaN NaN 14.132 -0.620 1901 11 NaN NaN NaN NaN NaN NaN 6.153 -3.353 1901 12 NaN NaN NaN NaN NaN NaN 2.729 -1.952 1902 1 NaN NaN NaN NaN NaN NaN 1.694 -1.694 1902 2 NaN NaN NaN NaN NaN NaN 0.324 -4.400 1902 3 NaN NaN NaN NaN NaN NaN 9.412 0.168 1902 4 NaN NaN NaN NaN NaN NaN 13.442 -1.313 1902 5 NaN NaN NaN NaN NaN NaN 20.743 1.453 1902 6 NaN NaN NaN NaN NaN NaN 23.086 0.036 1902 7 NaN NaN NaN NaN NaN NaN 25.832 0.645 1902 8 23.005 -1.480 0 0 23.232 -1.253 24.210 -0.465 1902 9 17.862 -3.171 1 0 NaN NaN 20.515 -0.710 1902 10 NaN NaN NaN NaN NaN NaN 15.496 0.744 1902 11 12.027 2.711 0 0 12.254 2.938 12.926 3.419 1902 12 3.805 -0.685 0 0 4.032 -0.458 3.989 -0.692 1903 1 3.029 -0.168 0 0 3.256 0.059 2.943 -0.445 1903 2 6.270 1.737 0 0 6.497 1.964 5.595 0.871 1903 3 11.935 2.881 0 0 12.162 3.108 12.795 3.551 1903 4 12.493 -2.071 0 0 12.720 -1.844 14.118 -0.637 1903 5 18.816 -0.283 0 0 19.043 -0.056 19.444 0.154 1903 6 20.518 -2.341 0 0 20.745 -2.114 20.813 -2.237 1903 7 22.579 -2.417 0 0 22.806 -2.191 25.236 0.049 1903 8 20.668 -3.817 0 0 20.895 -3.590 24.620 -0.055 1903 9 NaN NaN NaN NaN NaN NaN 20.471 -0.753 1903 10 13.213 -1.348 0 0 13.440 -1.121 14.145 -0.606 1903 11 6.824 -2.492 0 0 7.051 -2.265 7.662 -1.844 1903 12 0.932 -3.558 0 0 1.159 -3.331 1.376 -3.305 1904 1 0.987 -2.210 0 0 1.214 -1.983 0.785 -2.602 1904 2 1.274 -3.259 0 0 1.501 -3.032 1.317 -3.406 1904 3 9.298 0.244 0 0 9.525 0.471 9.328 0.084 1904 4 11.748 -2.816 0 0 11.975 -2.589 12.536 -2.218 1904 5 18.507 -0.592 0 0 18.734 -0.365 18.676 -0.613 1904 6 22.743 -0.116 0 0 22.970 0.111 22.606 -0.444 1904 7 24.368 -0.629 0 0 24.595 -0.402 24.309 -0.878 1904 8 23.624 -0.860 0 0 23.851 -0.633 23.843 -0.832 1904 9 20.538 -0.496 0 0 20.765 -0.269 21.054 -0.171 1904 10 13.674 -0.887 0 0 13.901 -0.660 13.527 -1.225 1904 11 7.343 -1.972 0 0 7.570 -1.745 8.470 -1.036 1904 12 1.880 -2.610 0 0 2.107 -2.383 2.763 -1.918 1905 1 1.362 -1.835 0 0 1.588 -1.609 0.933 -2.455 1905 2 -0.530 -5.063 0 0 -0.303 -4.836 -0.821 -5.545 1905 3 9.894 0.840 0 0 10.120 1.066 10.781 1.536 1905 4 14.257 -0.307 0 0 14.484 -0.080 14.579 -0.176 1905 5 20.148 1.050 0 0 20.375 1.276 20.233 0.944 1905 6 23.639 0.780 0 0 23.866 1.006 23.351 0.301 1905 7 25.067 0.071 0 0 25.294 0.298 24.923 -0.264 1905 8 23.715 -0.770 0 0 23.942 -0.543 23.663 -1.012 1905 9 21.195 0.161 0 0 21.422 0.388 22.135 0.911 1905 10 13.977 -0.583 0 0 14.204 -0.357 14.553 -0.198 1905 11 8.679 -0.636 0 0 8.906 -0.409 9.530 0.024 1905 12 3.805 -0.685 0 0 4.032 -0.459 3.734 -0.947 1906 1 NaN NaN NaN NaN NaN NaN 5.414 2.027 1906 2 NaN NaN NaN NaN NaN NaN 3.608 -1.115 1906 3 NaN NaN NaN NaN NaN NaN 6.333 -2.912 1906 4 NaN NaN NaN NaN NaN NaN 15.891 1.136 1906 5 NaN NaN NaN NaN NaN NaN 18.753 -0.536 1906 6 NaN NaN NaN NaN NaN NaN 23.364 0.314 1906 7 NaN NaN NaN NaN NaN NaN 24.151 -1.036 1906 8 NaN NaN NaN NaN NaN NaN 25.685 1.010 1906 9 NaN NaN NaN NaN NaN NaN 23.237 2.012 1906 10 NaN NaN NaN NaN NaN NaN 13.423 -1.329 1906 11 NaN NaN NaN NaN NaN NaN 9.838 0.331 1906 12 NaN NaN NaN NaN NaN NaN 5.024 0.343 1907 1 NaN NaN NaN NaN NaN NaN 7.538 4.150 1907 2 NaN NaN NaN NaN NaN NaN 2.495 -2.228 1907 3 NaN NaN NaN NaN NaN NaN 12.157 2.913 1907 4 NaN NaN NaN NaN NaN NaN 10.668 -4.086 1907 5 NaN NaN NaN NaN NaN NaN 17.823 -1.467 1907 6 NaN NaN NaN NaN NaN NaN 20.431 -2.619 1907 7 28.642 3.646 1 0 NaN NaN 25.506 0.319 1907 8 25.970 1.486 1 0 NaN NaN 24.087 -0.588 1907 9 NaN NaN NaN NaN NaN NaN 22.441 1.216 1907 10 15.431 0.870 1 0 NaN NaN 12.809 -1.942 1907 11 NaN NaN NaN NaN NaN NaN 8.314 -1.193 1907 12 4.473 -0.018 0 2 4.233 -0.257 4.597 -0.084 1908 1 2.734 -0.463 0 0 2.494 -0.703 2.444 -0.944 1908 2 2.274 -2.259 0 0 2.035 -2.498 1.479 -3.245 1908 3 NaN NaN NaN NaN NaN NaN 12.341 3.097 1908 4 NaN NaN NaN NaN NaN NaN 16.319 1.565 1908 5 18.753 -0.346 0 0 18.514 -0.585 19.087 -0.202 1908 6 21.824 -1.036 0 0 21.584 -1.275 22.130 -0.921 1908 7 25.506 0.510 0 0 25.267 0.270 24.849 -0.338 1908 8 23.227 -1.257 0 0 22.988 -1.496 23.237 -1.438 1908 9 19.826 -1.208 0 0 19.586 -1.448 19.937 -1.288 1908 10 14.191 -0.370 0 0 13.952 -0.609 13.911 -0.841 1908 11 9.313 -0.002 0 0 9.074 -0.242 10.343 0.837 1908 12 5.249 0.759 0 0 5.010 0.520 5.357 0.677 1909 1 6.605 3.408 0 0 6.366 3.169 6.039 2.651 1909 2 8.386 3.853 0 0 8.146 3.613 7.617 2.894 1909 3 7.742 -1.312 0 0 7.502 -1.552 8.128 -1.116 1909 4 14.371 -0.193 0 0 14.131 -0.432 15.132 0.377 1909 5 16.768 -2.331 1 0 NaN NaN 18.030 -1.259 1909 6 24.463 1.604 0 0 24.224 1.364 23.893 0.843 1909 7 23.632 -1.364 0 0 23.393 -1.604 23.465 -1.722 1909 8 NaN NaN NaN NaN NaN NaN 23.300 -1.375 1909 9 NaN NaN NaN NaN NaN NaN 19.914 -1.310 1909 10 12.230 -2.331 0 0 11.991 -2.570 12.814 -1.937 1909 11 11.185 1.870 0 0 10.946 1.630 12.216 2.710 1909 12 NaN NaN NaN NaN NaN NaN 2.110 -2.571 1910 1 3.963 0.766 1 0 NaN NaN 3.586 0.199 1910 2 NaN NaN NaN NaN NaN NaN 3.014 -1.709 1910 3 12.272 3.218 0 0 12.032 2.978 12.969 3.725 1910 4 15.072 0.508 0 0 14.832 0.268 15.280 0.526 1910 5 17.403 -1.696 0 0 17.164 -1.935 17.880 -1.410 1910 6 21.014 -1.846 0 0 20.774 -2.085 21.133 -1.917 1910 7 NaN NaN NaN NaN NaN NaN 25.097 -0.090 1910 8 23.960 -0.525 0 0 23.720 -0.764 23.832 -0.843 1910 9 23.007 1.973 0 0 22.768 1.734 22.309 1.085 1910 10 16.450 1.889 0 0 16.211 1.650 16.095 1.343 1910 11 5.699 -3.616 0 0 5.460 -3.856 6.864 -2.642 1910 12 1.025 -3.465 1 0 NaN NaN 1.425 -3.256 1911 1 6.839 3.642 1 0 NaN NaN 5.856 2.469 1911 2 5.360 0.827 1 0 NaN NaN 6.059 1.336 1911 3 7.906 -1.148 0 0 7.667 -1.387 8.183 -1.062 1911 4 11.392 -3.172 0 0 11.152 -3.412 12.432 -2.322 1911 5 20.312 1.214 0 0 20.073 0.974 20.448 1.158 1911 6 24.551 1.691 0 0 24.311 1.452 24.317 1.267 1911 7 27.374 2.378 0 0 27.135 2.138 25.220 0.032 1911 8 26.416 1.932 0 0 26.177 1.692 25.157 0.482 1911 9 24.218 3.184 0 0 23.979 2.945 23.630 2.405 1911 10 17.124 2.563 0 0 16.885 2.324 15.680 0.929 1911 11 10.931 1.615 0 0 10.692 1.376 7.715 -1.791 1911 12 6.115 1.625 1 0 NaN NaN 6.133 1.452 1912 1 NaN NaN NaN NaN NaN NaN -0.513 -3.900 1912 2 NaN NaN NaN NaN NaN NaN 1.590 -3.133 1912 3 NaN NaN NaN NaN NaN NaN 8.096 -1.148 1912 4 NaN NaN NaN NaN NaN NaN 15.927 1.172 1912 5 NaN NaN NaN NaN NaN NaN 19.470 0.180 1912 6 NaN NaN NaN NaN NaN NaN 22.025 -1.025 1912 7 NaN NaN NaN NaN NaN NaN 24.794 -0.393 1912 8 NaN NaN NaN NaN NaN NaN 24.417 -0.258 1912 9 NaN NaN NaN NaN NaN NaN 23.406 2.181 1912 10 NaN NaN NaN NaN NaN NaN 15.202 0.450 1912 11 NaN NaN NaN NaN NaN NaN 9.186 -0.320 1912 12 NaN NaN NaN NaN NaN NaN 5.759 1.078