% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33618 % Primary Name: EVANS % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.80000 +/- 0.00500 % Longitude: -81.75000 +/- 0.00500 % Elevation (m): 243.84 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 462860 % % IDs: coop - 462860 % ghcnd - USC00462860 % ncdc - 12006066 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6019e1e139ec198a8ac4fcd35b9707c0 % Raw Data Hash: b3ee5cfbef885bdca54c78a93031b9f0 % Adj Data Hash: 08e6a235be3c4418c2cfcdb9a653afec % % 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 1915 12 NaN NaN NaN NaN NaN NaN 0.090 -0.961 1916 1 NaN NaN NaN NaN NaN NaN 2.679 3.916 1916 2 NaN NaN NaN NaN NaN NaN -2.065 -2.214 1916 3 NaN NaN NaN NaN NaN NaN 3.404 -2.023 1916 4 NaN NaN NaN NaN NaN NaN 10.277 -1.029 1916 5 NaN NaN NaN NaN NaN NaN 17.369 0.766 1916 6 NaN NaN NaN NaN NaN NaN 18.350 -2.521 1916 7 NaN NaN NaN NaN NaN NaN 23.921 0.993 1916 8 NaN NaN NaN NaN NaN NaN 22.862 0.471 1916 9 NaN NaN NaN NaN NaN NaN 17.494 -1.440 1916 10 NaN NaN NaN NaN NaN NaN 11.764 -0.367 1916 11 NaN NaN NaN NaN NaN NaN 6.757 0.475 1916 12 0.891 -1.651 1 0 NaN NaN -0.123 -1.174 1917 1 NaN NaN NaN NaN NaN NaN -1.003 0.234 1917 2 0.970 -0.669 1 0 NaN NaN -1.987 -2.136 1917 3 6.748 -0.170 1 0 NaN NaN 5.071 -0.356 1917 4 12.457 -0.340 0 0 12.457 -0.340 10.908 -0.398 1917 5 14.789 -3.305 0 0 14.789 -3.305 12.752 -3.852 1917 6 20.777 -1.586 0 0 20.777 -1.586 19.413 -1.459 1917 7 23.369 -1.050 0 0 23.369 -1.050 22.237 -0.692 1917 8 22.831 -1.051 0 0 22.831 -1.051 21.899 -0.492 1917 9 18.002 -2.423 0 0 18.002 -2.423 17.078 -1.856 1917 10 11.077 -2.545 0 0 11.077 -2.545 8.901 -3.231 1917 11 5.558 -2.215 0 0 5.558 -2.215 4.233 -2.049 1917 12 -2.987 -5.529 0 0 -2.987 -5.529 -4.656 -5.707 1918 1 NaN NaN NaN NaN NaN NaN -7.962 -6.725 1918 2 3.630 1.991 0 0 3.630 1.991 0.579 0.430 1918 3 8.673 1.754 0 0 8.673 1.754 7.710 2.283 1918 4 12.353 -0.443 0 0 12.353 -0.443 10.394 -0.912 1918 5 20.274 2.180 0 0 20.274 2.180 19.080 2.477 1918 6 21.142 -1.221 0 0 21.142 -1.221 19.946 -0.925 1918 7 22.189 -2.231 0 0 22.189 -2.231 21.235 -1.693 1918 8 25.932 2.051 0 0 25.932 2.051 24.584 2.193 1918 9 16.250 -4.175 0 0 16.250 -4.175 15.694 -3.241 1918 10 15.809 2.187 1 0 NaN NaN 14.019 1.887 1918 11 6.767 -1.006 0 0 6.767 -1.006 6.206 -0.076 1918 12 7.355 4.813 0 0 7.355 4.813 4.671 3.620 1919 1 2.329 2.075 0 0 2.329 2.075 0.302 1.539 1919 2 3.841 2.201 0 0 3.841 2.201 0.503 0.354 1919 3 8.460 1.542 0 0 8.460 1.542 6.705 1.277 1919 4 12.560 -0.236 0 0 12.560 -0.236 10.855 -0.451 1919 5 17.158 -0.936 0 0 17.158 -0.936 15.917 -0.686 1919 6 23.572 1.209 0 0 23.572 1.209 22.812 1.941 1919 7 23.860 -0.560 0 0 23.860 -0.560 23.441 0.513 1919 8 NaN NaN NaN NaN NaN NaN 21.025 -1.366 1919 9 19.813 -0.612 0 0 19.813 -0.612 19.220 0.286 1919 10 17.544 3.921 0 0 17.544 3.921 16.177 4.046 1919 11 8.050 0.277 0 0 8.050 0.277 6.858 0.575 1919 12 0.455 -2.087 0 0 0.455 -2.087 -1.926 -2.977 1920 1 -0.748 -1.002 0 0 -0.748 -1.002 -3.665 -2.428 1920 2 NaN NaN NaN NaN NaN NaN -1.719 -1.868 1920 3 7.013 0.095 1 0 NaN NaN 6.169 0.741 1920 4 11.475 -1.321 0 0 11.475 -1.321 9.548 -1.758 1920 5 16.015 -2.080 0 0 16.015 -2.080 14.745 -1.859 1920 6 21.245 -1.117 0 0 21.245 -1.117 19.923 -0.949 1920 7 21.687 -2.732 0 0 21.687 -2.732 20.817 -2.111 1920 8 22.477 -1.404 0 0 22.477 -1.404 21.518 -0.873 1920 9 20.227 -0.198 0 0 20.227 -0.198 19.581 0.647 1920 10 14.289 0.667 0 0 14.289 0.667 13.740 1.609 1920 11 5.790 -1.983 0 0 5.790 -1.983 5.295 -0.987 1920 12 3.482 0.940 0 0 3.482 0.940 1.658 0.607 1921 1 3.858 3.605 0 0 3.858 3.605 1.056 2.294 1921 2 4.659 3.019 0 0 4.659 3.019 1.871 1.722 1921 3 12.494 5.575 0 0 12.494 5.575 11.110 5.683 1921 4 NaN NaN NaN NaN NaN NaN 13.327 2.021 1921 5 NaN NaN NaN NaN NaN NaN 16.344 -0.259 1921 6 NaN NaN NaN NaN NaN NaN 22.514 1.642 1921 7 NaN NaN NaN NaN NaN NaN 24.382 1.454 1921 8 NaN NaN NaN NaN NaN NaN 21.092 -1.299 1921 9 NaN NaN NaN NaN NaN NaN 21.840 2.906 1921 10 NaN NaN NaN NaN NaN NaN 11.770 -0.361 1921 11 NaN NaN NaN NaN NaN NaN 7.910 1.628 1921 12 NaN NaN NaN NaN NaN NaN 2.139 1.087 1922 1 NaN NaN NaN NaN NaN NaN -1.832 -0.595 1922 2 NaN NaN NaN NaN NaN NaN 2.505 2.356 1922 3 NaN NaN NaN NaN NaN NaN 7.346 1.918