% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33002 % Primary Name: MAYHURST % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.25000 +/- 0.00005 % Longitude: -78.21670 +/- 0.00005 % Elevation (m): 156.67 +/- 0.15 % # of Months: 102 % % Alternate Names: Missing Station ID - 445370 % % IDs: coop - 445370 % ghcnd - USC00445370 % ncdc - 12005758 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b111655112da89f6a150d0cefac40e9d % Raw Data Hash: 89782fa3add0ad438a0141a30195eb1d % Adj Data Hash: 3ea81b034676b0f9d495b965b9d5d8a8 % % 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 1918 10 NaN NaN NaN NaN NaN NaN 15.956 1.558 1918 11 NaN NaN NaN NaN NaN NaN 8.652 -0.304 1918 12 NaN NaN NaN NaN NaN NaN 5.410 1.677 1919 1 NaN NaN NaN NaN NaN NaN 3.460 1.439 1919 2 NaN NaN NaN NaN NaN NaN 2.876 -0.453 1919 3 NaN NaN NaN NaN NaN NaN 9.423 1.312 1919 4 NaN NaN NaN NaN NaN NaN 13.342 -0.460 1919 5 NaN NaN NaN NaN NaN NaN 18.479 -0.218 1919 6 NaN NaN NaN NaN NaN NaN 22.571 -0.357 1919 7 NaN NaN NaN NaN NaN NaN 24.997 -0.275 1919 8 NaN NaN NaN NaN NaN NaN 23.527 -1.135 1919 9 NaN NaN NaN NaN NaN NaN 21.413 0.387 1919 10 18.519 3.847 1 0 NaN NaN 18.647 4.248 1919 11 9.317 0.087 0 0 8.980 -0.249 9.321 0.366 1919 12 1.976 -2.031 0 0 1.639 -2.368 1.087 -2.647 1920 1 1.067 -1.228 0 0 0.731 -1.564 0.199 -1.822 1920 2 2.404 -1.199 1 0 NaN NaN 0.840 -2.489 1920 3 9.142 0.757 1 0 NaN NaN 8.266 0.155 1920 4 12.904 -1.171 0 0 12.568 -1.508 12.994 -0.807 1920 5 17.512 -1.458 0 0 17.175 -1.795 15.633 -3.063 1920 6 22.828 -0.374 0 0 22.492 -0.710 22.019 -0.909 1920 7 24.216 -1.329 0 0 23.880 -1.666 23.700 -1.571 1920 8 23.435 -1.501 0 0 23.099 -1.837 23.847 -0.816 1920 9 21.473 0.174 0 0 21.137 -0.162 21.245 0.219 1920 10 17.671 2.999 0 0 17.335 2.663 15.915 1.517 1920 11 8.302 -0.928 0 0 7.965 -1.264 8.464 -0.491 1920 12 4.772 0.765 0 0 4.435 0.428 4.204 0.471 1921 1 3.797 1.502 0 0 3.461 1.166 3.406 1.385 1921 2 5.371 1.768 0 0 5.035 1.432 4.416 1.087 1921 3 14.279 5.894 0 0 13.943 5.558 14.123 6.012 1921 4 NaN NaN NaN NaN NaN NaN 16.158 2.356 1921 5 17.982 -0.988 0 0 17.646 -1.324 16.990 -1.706 1921 6 23.978 0.777 0 0 23.642 0.440 23.181 0.253 1921 7 26.560 1.014 0 0 26.223 0.678 26.280 1.009 1921 8 24.179 -0.757 0 0 23.843 -1.094 23.629 -1.034 1921 9 24.625 3.325 0 0 24.289 2.989 24.430 3.404 1921 10 15.769 1.097 0 0 15.433 0.761 14.188 -0.210 1921 11 9.508 0.279 0 4 9.883 0.653 10.639 1.683 1921 12 3.838 -0.169 0 0 4.213 0.206 4.083 0.350 1922 1 0.766 -1.529 0 0 1.141 -1.154 0.625 -1.396 1922 2 4.648 1.045 0 0 5.023 1.420 4.419 1.090 1922 3 8.566 0.181 0 0 8.940 0.555 9.029 0.918 1922 4 14.391 0.316 0 0 14.766 0.690 14.690 0.889 1922 5 19.616 0.646 0 0 19.990 1.021 19.162 0.466 1922 6 23.835 0.633 0 0 24.209 1.008 23.631 0.703 1922 7 24.555 -0.990 0 0 24.930 -0.616 24.796 -0.475 1922 8 23.211 -1.726 0 0 23.585 -1.351 23.067 -1.596 1922 9 22.500 1.200 0 0 22.874 1.575 21.539 0.514 1922 10 15.761 1.089 0 0 16.136 1.464 15.383 0.984 1922 11 9.113 -0.116 0 0 9.488 0.258 9.259 0.303 1922 12 5.105 1.098 0 0 5.479 1.472 4.521 0.788 1923 1 3.279 0.984 0 0 3.653 1.359 3.335 1.314 1923 2 NaN NaN NaN NaN NaN NaN 1.181 -2.148 1923 3 8.585 0.200 0 0 8.960 0.575 8.876 0.765 1923 4 NaN NaN NaN NaN NaN NaN 13.068 -0.734 1923 5 17.857 -1.113 0 0 18.232 -0.738 17.334 -1.362 1923 6 24.157 0.955 0 0 24.532 1.330 24.043 1.115 1923 7 24.151 -1.394 0 0 24.526 -1.020 24.308 -0.963 1923 8 23.677 -1.260 0 0 24.051 -0.886 23.888 -0.774 1923 9 20.193 -1.106 0 0 20.568 -0.732 21.388 0.362 1923 10 13.579 -1.093 0 0 13.954 -0.718 13.263 -1.135 1923 11 7.386 -1.843 1 0 NaN NaN 7.992 -0.964 1923 12 7.805 3.798 0 0 8.179 4.172 7.532 3.799 1924 1 1.853 -0.442 0 0 2.228 -0.067 2.234 0.213 1924 2 NaN NaN NaN NaN NaN NaN 1.609 -1.720 1924 3 6.337 -2.048 0 0 6.711 -1.674 7.035 -1.076 1924 4 12.025 -2.051 0 0 12.399 -1.677 12.026 -1.776 1924 5 16.218 -2.752 0 0 16.592 -2.378 16.598 -2.098 1924 6 21.073 -2.129 0 0 21.447 -1.755 22.185 -0.743 1924 7 22.658 -2.887 0 0 23.032 -2.513 23.604 -1.667 1924 8 23.535 -1.402 0 0 23.909 -1.028 24.245 -0.417 1924 9 18.634 -2.665 0 0 19.008 -2.291 18.773 -2.253 1924 10 15.108 0.436 0 0 15.482 0.810 13.701 -0.698 1924 11 9.174 -0.056 1 0 NaN NaN 9.077 0.121 1924 12 NaN NaN NaN NaN NaN NaN 3.580 -0.153 1925 1 1.354 -0.941 1 0 NaN NaN 1.213 -0.808 1925 2 7.619 4.016 1 0 NaN NaN 6.684 3.355 1925 3 7.975 -0.410 0 0 8.349 -0.036 9.168 1.057 1925 4 15.192 1.116 0 0 15.566 1.490 14.797 0.996 1925 5 16.361 -2.609 0 0 16.736 -2.234 16.007 -2.689 1925 6 25.558 2.356 0 0 25.932 2.730 25.031 2.103 1925 7 25.219 -0.326 0 0 25.594 0.048 25.376 0.104 1925 8 21.085 -3.851 1 0 NaN NaN 23.035 -1.627 1925 9 NaN NaN NaN NaN NaN NaN 23.593 2.567 1925 10 11.799 -2.873 1 0 NaN NaN 11.955 -2.443 1925 11 7.611 -1.619 0 0 7.985 -1.244 7.940 -1.016 1925 12 3.654 -0.353 0 0 4.029 0.022 2.970 -0.763 1926 1 1.984 -0.311 0 0 2.358 0.063 1.848 -0.173 1926 2 4.221 0.618 1 0 NaN NaN 3.906 0.577 1926 3 5.242 -3.143 0 0 5.616 -2.769 5.527 -2.584 1926 4 11.830 -2.246 0 0 12.204 -1.871 12.307 -1.495 1926 5 18.867 -0.103 0 0 19.241 0.271 18.013 -0.683 1926 6 21.675 -1.527 0 0 22.049 -1.152 21.288 -1.640 1926 7 25.423 -0.122 0 0 25.797 0.252 25.216 -0.056 1926 8 24.842 -0.094 0 0 25.217 0.280 25.453 0.791 1926 9 20.482 -0.818 0 0 20.856 -0.444 21.717 0.691 1926 10 14.203 -0.469 0 0 14.578 -0.094 14.515 0.117 1926 11 6.737 -2.492 0 0 7.112 -2.118 7.795 -1.161 1926 12 0.806 -3.201 0 0 1.181 -2.826 1.912 -1.821 1927 1 2.603 0.308 0 0 2.978 0.683 2.019 -0.002 1927 2 7.609 4.006 0 0 7.983 4.380 6.337 3.008 1927 3 9.834 1.449 0 0 10.208 1.823 9.366 1.255 1927 4 11.430 -2.646 0 0 11.804 -2.271 11.974 -1.828 1927 5 18.306 -0.663 0 0 18.681 -0.289 18.268 -0.428 1927 6 20.629 -2.573 0 0 21.003 -2.199 20.372 -2.555 1927 7 24.316 -1.229 0 0 24.690 -0.855 24.332 -0.940 1927 8 22.767 -2.170 0 4 21.747 -3.190 21.708 -2.955 1927 9 22.392 1.092 0 0 21.372 0.072 21.313 0.288 1927 10 16.982 2.310 0 0 15.962 1.290 15.454 1.056 1927 11 12.067 2.837 0 0 11.047 1.817 11.558 2.603 1927 12 5.705 1.698 0 0 4.686 0.678 4.150 0.416 1928 1 4.107 1.812 0 0 3.088 0.793 2.992 0.971 1928 2 5.554 1.951 0 0 4.534 0.931 3.508 0.179 1928 3 9.047 0.662 0 0 8.027 -0.358 7.956 -0.155 1928 4 13.102 -0.974 0 0 12.082 -1.994 12.456 -1.346 1928 5 19.826 0.856 0 0 18.806 -0.164 17.365 -1.331 1928 6 22.723 -0.479 0 0 21.703 -1.499 21.985 -0.943 1928 7 26.804 1.259 0 0 25.785 0.239 25.364 0.092 1928 8 25.765 0.828 0 0 24.745 -0.191 25.063 0.400 1928 9 19.483 -1.816 0 0 18.464 -2.836 18.764 -2.262 1928 10 NaN NaN NaN NaN NaN NaN 15.120 0.722 1928 11 NaN NaN NaN NaN NaN NaN 9.944 0.988 1928 12 NaN NaN NaN NaN NaN NaN 3.597 -0.136 1929 1 NaN NaN NaN NaN NaN NaN 2.438 0.417 1929 2 NaN NaN NaN NaN NaN NaN 1.869 -1.460 1929 3 NaN NaN NaN NaN NaN NaN 11.008 2.897 1929 4 NaN NaN NaN NaN NaN NaN 15.551 1.749 1929 5 NaN NaN NaN NaN NaN NaN 18.265 -0.431 1929 6 NaN NaN NaN NaN NaN NaN 21.976 -0.952 1929 7 NaN NaN NaN NaN NaN NaN 24.309 -0.963 1929 8 NaN NaN NaN NaN NaN NaN 23.317 -1.346 1929 9 NaN NaN NaN NaN NaN NaN 21.396 0.371