% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33850 % Primary Name: LOST CITY % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.96670 +/- 0.00005 % Longitude: -78.83330 +/- 0.00005 % Elevation (m): 365.76 +/- 0.15 % # of Months: 108 % % Alternate Names: Missing Station ID - 465440 % % IDs: coop - 465440 % ghcnd - USC00465440 % ncdc - 12006085 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b5c35e362cdde7d3866c99e6b64f10d2 % Raw Data Hash: a2e7b7b4fdaeea2650029f0f49ba3fe8 % Adj Data Hash: 3a397532739c1590015db743d1ab40cd % % 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 1905 1 NaN NaN NaN NaN NaN NaN -4.871 -2.763 1905 2 NaN NaN NaN NaN NaN NaN -6.274 -5.343 1905 3 NaN NaN NaN NaN NaN NaN 5.620 1.599 1905 4 NaN NaN NaN NaN NaN NaN 9.620 -0.346 1905 5 NaN NaN NaN NaN NaN NaN 15.938 0.687 1905 6 NaN NaN NaN NaN NaN NaN 19.659 0.131 1905 7 NaN NaN NaN NaN NaN NaN 21.375 -0.308 1905 8 NaN NaN NaN NaN NaN NaN 20.317 -0.758 1905 9 NaN NaN NaN NaN NaN NaN 17.337 -0.175 1905 10 NaN NaN NaN NaN NaN NaN 10.822 -0.166 1905 11 NaN NaN NaN NaN NaN NaN 4.232 -1.147 1905 12 NaN NaN NaN NaN NaN NaN -0.042 -0.008 1906 1 1.692 2.864 0 0 1.130 2.303 1.229 3.337 1906 2 -1.570 -1.575 0 0 -2.131 -2.137 -2.320 -1.389 1906 3 1.676 -3.281 0 0 1.114 -3.843 0.509 -3.512 1906 4 10.937 0.035 0 0 10.375 -0.527 10.429 0.463 1906 5 18.852 2.665 0 0 18.290 2.103 15.270 0.019 1906 6 22.783 2.319 0 0 22.222 1.757 19.928 0.399 1906 7 NaN NaN NaN NaN NaN NaN 20.895 -0.788 1906 8 NaN NaN NaN NaN NaN NaN 22.335 1.260 1906 9 NaN NaN NaN NaN NaN NaN 19.426 1.914 1906 10 11.676 -0.247 0 0 11.114 -0.809 10.331 -0.656 1906 11 6.553 0.238 0 0 5.992 -0.324 5.774 0.394 1906 12 2.382 1.480 0 0 1.820 0.919 -0.049 -0.015 1907 1 3.057 4.229 0 0 2.495 3.667 0.140 2.247 1907 2 -0.255 -0.261 0 0 -0.817 -0.822 -4.041 -3.111 1907 3 9.032 4.076 0 0 8.470 3.514 7.145 3.124 1907 4 7.055 -3.847 0 0 6.493 -4.408 6.322 -3.644 1907 5 NaN NaN NaN NaN NaN NaN 12.994 -2.257 1907 6 16.967 -3.498 0 0 16.405 -4.059 16.435 -3.094 1907 7 22.116 -0.503 1 0 NaN NaN 21.034 -0.650 1907 8 20.414 -1.596 0 0 19.852 -2.157 19.250 -1.824 1907 9 18.863 0.416 0 0 18.302 -0.146 17.889 0.377 1907 10 9.803 -2.120 0 0 9.241 -2.681 8.215 -2.772 1907 11 NaN NaN NaN NaN NaN NaN 4.260 -1.119 1907 12 2.934 2.032 0 0 2.372 1.470 0.035 0.068 1908 1 -0.127 1.045 0 0 -0.689 0.483 -2.648 -0.540 1908 2 -0.659 -0.664 0 0 -1.220 -1.226 -3.912 -2.982 1908 3 9.348 4.392 0 0 8.787 3.830 6.550 2.529 1908 4 12.166 1.264 1 0 NaN NaN 10.926 0.960 1908 5 16.123 -0.064 0 0 15.561 -0.626 15.347 0.096 1908 6 NaN NaN NaN NaN NaN NaN 19.125 -0.403 1908 7 22.774 0.155 0 0 22.212 -0.406 22.058 0.375 1908 8 20.534 -1.476 0 0 19.972 -2.038 20.082 -0.992 1908 9 17.325 -1.122 0 0 16.763 -1.684 17.707 0.195 1908 10 11.948 0.026 0 0 11.387 -0.536 11.202 0.214 1908 11 7.383 1.068 0 0 6.822 0.506 5.379 -0.001 1908 12 3.348 2.447 0 0 2.787 1.885 0.309 0.343 1909 1 3.177 4.350 0 0 2.616 3.788 -0.097 2.010 1909 2 5.171 5.166 0 0 4.610 4.604 2.450 3.380 1909 3 4.521 -0.436 0 0 3.959 -0.997 2.735 -1.286 1909 4 11.135 0.233 0 0 10.573 -0.328 9.918 -0.048 1909 5 15.297 -0.890 0 0 14.735 -1.452 14.610 -0.641 1909 6 NaN NaN NaN NaN NaN NaN 20.262 0.734 1909 7 20.594 -2.025 0 0 20.032 -2.587 20.101 -1.582 1909 8 20.585 -1.424 0 0 20.024 -1.986 20.120 -0.955 1909 9 17.137 -1.311 0 0 16.575 -1.872 16.534 -0.978 1909 10 10.108 -1.815 0 0 9.546 -2.377 8.286 -2.701 1909 11 9.307 2.991 0 0 8.745 2.430 8.399 3.020 1909 12 -0.855 -1.757 0 0 -1.417 -2.319 -3.690 -3.656 1910 1 0.834 2.006 0 0 0.272 1.444 -2.035 0.072 1910 2 0.588 0.582 0 0 0.026 0.020 -2.332 -1.401 1910 3 8.471 3.514 0 0 7.909 2.953 8.177 4.156 1910 4 11.543 0.642 0 0 10.982 0.080 11.080 1.114 1910 5 14.276 -1.911 0 0 13.714 -2.473 13.189 -2.062 1910 6 18.163 -2.301 0 0 17.602 -2.863 17.637 -1.892 1910 7 21.911 -0.708 0 0 21.349 -1.269 21.818 0.135 1910 8 20.898 -1.111 0 0 20.337 -1.673 20.361 -0.714 1910 9 19.273 0.826 0 0 18.712 0.264 18.831 1.319 1910 10 13.716 1.793 0 0 13.154 1.232 12.766 1.779 1910 11 3.032 -3.284 0 0 2.470 -3.845 2.179 -3.201 1910 12 -2.121 -3.023 0 0 -2.683 -3.585 -4.494 -4.460 1911 1 2.360 3.532 0 4 2.881 4.053 0.521 2.628 1911 2 2.573 2.568 0 0 3.094 3.089 0.290 1.220 1911 3 3.295 -1.661 0 0 3.816 -1.140 2.596 -1.425 1911 4 8.487 -2.415 0 0 9.008 -1.894 8.005 -1.961 1911 5 17.242 1.055 0 0 17.763 1.576 17.529 2.278 1911 6 19.172 -1.293 0 0 19.693 -0.772 19.810 0.281 1911 7 21.525 -1.094 0 0 22.046 -0.573 22.009 0.326 1911 8 21.234 -0.776 0 0 21.755 -0.255 21.712 0.638 1911 9 18.515 0.068 0 0 19.036 0.589 18.985 1.474 1911 10 11.953 0.030 0 0 12.474 0.551 11.421 0.434 1911 11 4.080 -2.235 0 0 4.601 -1.714 3.705 -1.675 1911 12 3.213 2.311 0 0 3.734 2.832 2.265 2.299 1912 1 -5.270 -4.098 0 0 -4.749 -3.577 -7.031 -4.923 1912 2 -2.702 -2.707 0 0 -2.181 -2.186 -4.720 -3.790 1912 3 3.934 -1.023 0 0 4.455 -0.502 2.610 -1.410 1912 4 11.340 0.438 0 0 11.861 0.959 11.518 1.552 1912 5 15.495 -0.691 0 0 16.016 -0.170 15.852 0.601 1912 6 18.215 -2.249 0 0 18.736 -1.728 18.013 -1.516 1912 7 21.119 -1.499 0 0 21.640 -0.979 21.207 -0.476 1912 8 19.261 -2.749 0 0 19.782 -2.228 19.283 -1.791 1912 9 18.666 0.218 0 0 19.186 0.739 19.191 1.679 1912 10 11.408 -0.515 0 0 11.929 0.006 11.572 0.585 1912 11 5.917 -0.399 0 0 6.438 0.122 5.874 0.494 1912 12 2.079 1.177 0 0 2.600 1.698 1.021 1.054 1913 1 4.065 5.237 0 0 4.585 5.758 2.584 4.692 1913 2 0.632 0.627 0 0 1.153 1.148 -1.675 -0.745 1913 3 7.087 2.131 0 0 7.608 2.652 6.383 2.362 1913 4 10.153 -0.748 0 0 10.674 -0.227 10.132 0.166 1913 5 14.810 -1.377 0 0 15.331 -0.856 14.598 -0.653 1913 6 18.655 -1.809 0 0 19.176 -1.288 19.443 -0.086 1913 7 21.294 -1.325 0 0 21.814 -0.804 21.553 -0.130 1913 8 20.134 -1.876 0 0 20.655 -1.355 20.757 -0.317 1913 9 16.180 -2.267 0 0 16.701 -1.746 16.566 -0.946 1913 10 12.126 0.203 0 0 12.647 0.724 11.520 0.532 1913 11 6.747 0.431 0 0 7.268 0.952 6.436 1.057 1913 12 2.166 1.264 0 0 2.687 1.785 1.286 1.319 1914 1 1.476 2.648 0 0 1.997 3.169 -0.320 1.788 1914 2 -2.279 -2.284 0 0 -1.758 -1.763 -4.770 -3.839 1914 3 2.137 -2.820 0 0 2.658 -2.299 1.271 -2.750 1914 4 9.202 -1.700 0 0 9.723 -1.179 9.532 -0.434 1914 5 16.019 -0.167 0 0 16.540 0.354 15.612 0.361 1914 6 20.095 -0.369 0 0 20.616 0.152 20.433 0.904 1914 7 20.619 -1.999 0 0 21.140 -1.479 21.113 -0.570 1914 8 20.026 -1.984 0 0 20.547 -1.463 20.999 -0.076 1914 9 15.290 -3.157 0 0 15.811 -2.636 16.071 -1.441 1914 10 12.779 0.856 0 0 13.300 1.377 12.490 1.503 1914 11 NaN NaN NaN NaN NaN NaN 5.020 -0.359 1914 12 -1.555 -2.457 0 0 -1.034 -1.936 -2.853 -2.820 1915 1 -0.332 0.840 0 0 0.189 1.361 -2.133 -0.025 1915 2 2.511 2.505 0 0 3.032 3.026 0.525 1.456 1915 3 0.121 -4.836 0 0 0.642 -4.315 0.039 -3.982 1915 4 NaN NaN NaN NaN NaN NaN 11.884 1.918 1915 5 NaN NaN NaN NaN NaN NaN 13.877 -1.374 1915 6 NaN NaN NaN NaN NaN NaN 17.965 -1.564 1915 7 NaN NaN NaN NaN NaN NaN 20.905 -0.778 1915 8 NaN NaN NaN NaN NaN NaN 19.569 -1.505 1915 9 17.098 -1.349 0 0 17.619 -0.828 18.534 1.023 1915 10 11.813 -0.110 0 0 12.334 0.411 11.972 0.985 1915 11 5.248 -1.067 0 0 5.769 -0.546 5.936 0.556 1915 12 -0.503 -1.405 0 0 0.018 -0.884 -1.593 -1.559 1916 1 2.934 4.106 0 0 3.455 4.627 1.513 3.621 1916 2 NaN NaN NaN NaN NaN NaN -2.441 -1.510 1916 3 NaN NaN NaN NaN NaN NaN 1.136 -2.885 1916 4 NaN NaN NaN NaN NaN NaN 8.954 -1.013 1916 5 NaN NaN NaN NaN NaN NaN 16.372 1.121 1916 6 NaN NaN NaN NaN NaN NaN 17.052 -2.477 1916 7 NaN NaN NaN NaN NaN NaN 22.282 0.599 1916 8 NaN NaN NaN NaN NaN NaN 21.314 0.239 1916 9 NaN NaN NaN NaN NaN NaN 16.287 -1.224 1916 10 NaN NaN NaN NaN NaN NaN 10.475 -0.513 1916 11 NaN NaN NaN NaN NaN NaN 5.689 0.309 1916 12 NaN NaN NaN NaN NaN NaN -1.070 -1.037 1917 1 NaN NaN NaN NaN NaN NaN -1.421 0.686