% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34819 % Primary Name: ELLA % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.73330 +/- 0.00005 % Longitude: -80.81670 +/- 0.00005 % Elevation (m): 325.00 +/- 197.51 % # of Months: 79 % % Alternate Names: Missing Station ID - 462735 % % IDs: coop - 462735 % ghcnd - USC00462735 % ncdc - 12006065 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7929191e5da72e79dc439a585ff787de % Raw Data Hash: 97755e475b8bda857d3cc98cd911507f % Adj Data Hash: 80679ca9cceb47e98447e93f8eabae57 % % 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 1888 7 NaN NaN NaN NaN NaN NaN 21.746 -1.183 1888 8 NaN NaN NaN NaN NaN NaN 21.479 -0.912 1888 9 NaN NaN NaN NaN NaN NaN 16.401 -2.534 1888 10 NaN NaN NaN NaN NaN NaN 9.206 -2.925 1888 11 NaN NaN NaN NaN NaN NaN 7.008 0.726 1888 12 NaN NaN NaN NaN NaN NaN 0.767 -0.284 1889 1 NaN NaN NaN NaN NaN NaN 0.857 2.094 1889 2 NaN NaN NaN NaN NaN NaN -2.656 -2.805 1889 3 NaN NaN NaN NaN NaN NaN 5.717 0.289 1889 4 NaN NaN NaN NaN NaN NaN 10.984 -0.321 1889 5 NaN NaN NaN NaN NaN NaN 15.985 -0.618 1889 6 NaN NaN NaN NaN NaN NaN 19.458 -1.414 1889 7 23.398 0.381 0 0 23.760 0.743 22.521 -0.408 1889 8 20.300 -2.179 0 0 20.662 -1.818 20.398 -1.992 1889 9 16.638 -2.385 0 0 17.000 -2.023 17.633 -1.301 1889 10 8.973 -3.248 0 0 9.334 -2.886 9.104 -3.028 1889 11 5.285 -1.086 0 0 5.647 -0.724 6.092 -0.190 1889 12 6.745 5.605 0 0 7.107 5.967 6.922 5.871 1890 1 4.440 5.589 0 0 4.802 5.950 4.385 5.623 1890 2 4.691 4.453 0 0 5.053 4.815 4.745 4.596 1890 3 0.987 -4.530 0 0 1.348 -4.168 2.336 -3.091 1890 4 NaN NaN NaN NaN NaN NaN 11.360 0.055 1890 5 15.800 -0.892 1 0 NaN NaN 15.568 -1.035 1890 6 21.400 0.440 1 0 NaN NaN 22.538 1.666 1890 7 21.650 -1.367 1 0 NaN NaN 22.202 -0.726 1890 8 20.000 -2.479 1 0 NaN NaN 20.377 -2.014 1890 9 15.850 -3.173 1 0 NaN NaN 17.984 -0.950 1890 10 11.100 -1.120 1 0 NaN NaN 11.508 -0.623 1890 11 6.950 0.579 1 0 NaN NaN 7.546 1.264 1890 12 -0.550 -1.690 1 0 NaN NaN -0.463 -1.514 1891 1 1.700 2.848 1 0 NaN NaN 0.122 1.360 1891 2 2.500 2.262 1 0 NaN NaN 2.826 2.677 1891 3 0.850 -4.666 1 0 NaN NaN 2.871 -2.557 1891 4 11.400 0.006 1 0 NaN NaN 11.892 0.587 1891 5 NaN NaN NaN NaN NaN NaN 14.294 -2.309 1891 6 21.100 0.140 1 0 NaN NaN 21.422 0.550 1891 7 20.600 -2.417 1 0 NaN NaN 20.232 -2.696 1891 8 NaN NaN NaN NaN NaN NaN 21.254 -1.137 1891 9 19.400 0.377 1 0 NaN NaN 20.203 1.269 1891 10 15.586 3.366 1 0 NaN NaN 10.429 -1.703 1891 11 4.526 -1.845 1 0 NaN NaN 5.043 -1.239 1891 12 4.430 3.290 1 0 NaN NaN 3.868 2.816 1892 1 -3.662 -2.513 1 0 NaN NaN -3.420 -2.183 1892 2 1.841 1.604 0 2 1.775 1.537 1.617 1.468 1892 3 1.171 -4.345 0 0 1.105 -4.412 2.484 -2.943 1892 4 9.281 -2.113 0 0 9.215 -2.180 10.369 -0.936 1892 5 15.368 -1.324 0 0 15.301 -1.391 16.066 -0.537 1892 6 22.452 1.491 0 0 22.385 1.425 22.830 1.958 1892 7 21.800 -1.217 0 0 21.734 -1.284 22.538 -0.390 1892 8 22.148 -0.331 0 0 22.082 -0.397 22.215 -0.176 1892 9 18.380 -0.643 0 0 18.314 -0.709 18.335 -0.599 1892 10 11.234 -0.986 0 0 11.167 -1.053 10.861 -1.271 1892 11 4.025 -2.346 0 0 3.959 -2.412 4.552 -1.730 1892 12 -1.829 -2.969 0 0 -1.895 -3.035 -1.406 -2.457 1893 1 -6.559 -5.411 0 0 -6.626 -5.477 -6.869 -5.632 1893 2 -0.144 -0.382 0 0 -0.210 -0.448 0.373 0.224 1893 3 3.621 -1.896 0 0 3.554 -1.962 4.631 -0.796 1893 4 10.838 -0.556 0 0 10.772 -0.622 11.847 0.542 1893 5 15.479 -1.213 0 0 15.413 -1.280 15.129 -1.474 1893 6 22.185 1.225 0 0 22.119 1.158 21.365 0.493 1893 7 23.827 0.810 0 0 23.761 0.744 23.318 0.389 1893 8 21.416 -1.064 0 0 21.349 -1.130 21.362 -1.028 1893 9 17.648 -1.375 0 0 17.582 -1.441 18.769 -0.165 1893 10 12.634 0.414 0 0 12.568 0.348 12.127 -0.004 1893 11 4.563 -1.807 0 0 4.497 -1.874 5.211 -1.072 1893 12 1.577 0.437 0 0 1.511 0.371 1.851 0.800 1894 1 1.667 2.815 0 0 1.600 2.749 1.482 2.719 1894 2 -0.934 -1.172 1 0 NaN NaN -0.363 -0.512 1894 3 7.650 2.134 0 0 7.584 2.067 8.009 2.581 1894 4 10.082 -1.313 0 0 10.015 -1.379 10.608 -0.698 1894 5 16.237 -0.455 0 0 16.170 -0.522 16.147 -0.456 1894 6 21.815 0.855 0 0 21.748 0.788 21.263 0.391 1894 7 24.409 1.391 0 0 24.342 1.325 22.933 0.005 1894 8 23.226 0.746 0 0 23.159 0.680 21.967 -0.424 1894 9 21.389 2.366 0 0 21.322 2.300 20.454 1.520 1894 10 13.907 1.687 0 0 13.840 1.620 11.817 -0.315 1894 11 4.093 -2.278 0 0 4.026 -2.345 4.053 -2.229 1894 12 2.019 0.879 0 0 1.952 0.812 1.206 0.154 1895 1 NaN NaN NaN NaN NaN NaN -3.553 -2.316 1895 2 -5.992 -6.230 0 0 -6.058 -6.296 -6.763 -6.912 1895 3 2.330 -3.187 0 0 2.263 -3.253 3.439 -1.989 1895 4 11.426 0.032 0 0 11.360 -0.035 11.481 0.176 1895 5 17.742 1.050 0 0 17.676 0.983 15.965 -0.638 1895 6 24.093 3.132 0 0 24.026 3.066 22.303 1.431 1895 7 21.452 -1.566 0 0 21.385 -1.632 21.224 -1.705 1895 8 23.710 1.230 0 0 23.643 1.164 22.821 0.430 1895 9 22.148 3.125 0 0 22.082 3.059 21.216 2.282 1895 10 10.251 -1.969 0 0 10.184 -2.036 8.345 -3.786 1895 11 6.704 0.333 0 0 6.637 0.266 6.554 0.272 1895 12 2.002 0.862 0 0 1.935 0.795 1.672 0.621 1896 1 -0.884 0.265 0 0 -0.950 0.198 -1.188 0.050 1896 2 -0.488 -0.726 0 0 -0.554 -0.792 -0.543 -0.692 1896 3 0.253 -5.263 0 0 0.187 -5.330 1.344 -4.083 1896 4 14.019 2.625 1 0 NaN NaN 14.495 3.190 1896 5 20.935 4.243 0 0 20.869 4.177 19.918 3.315 1896 6 NaN NaN NaN NaN NaN NaN 20.550 -0.321 1896 7 NaN NaN NaN NaN NaN NaN 22.505 -0.423 1896 8 NaN NaN NaN NaN NaN NaN 22.222 -0.169 1896 9 NaN NaN NaN NaN NaN NaN 18.345 -0.589 1896 10 NaN NaN NaN NaN NaN NaN 9.560 -2.571 1896 11 NaN NaN NaN NaN NaN NaN 8.562 2.280 1896 12 NaN NaN NaN NaN NaN NaN 1.060 0.009 1897 1 NaN NaN NaN NaN NaN NaN -3.199 -1.962 1897 2 NaN NaN NaN NaN NaN NaN 1.259 1.110 1897 3 NaN NaN NaN NaN NaN NaN 7.349 1.921 1897 4 NaN NaN NaN NaN NaN NaN 10.649 -0.657 1897 5 NaN NaN NaN NaN NaN NaN 13.815 -2.788