% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31778 % Primary Name: WISE % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.00000 +/- 0.00005 % Longitude: -82.13330 +/- 0.00005 % Elevation (m): 754.08 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 449218 % % IDs: coop - 449218 % ghcnd - USC00449218 % ncdc - 12005807 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 857015553831ef36e5c1e840995b15c3 % Raw Data Hash: 148d53365a033cf254811ebd75a23a11 % Adj Data Hash: b480a0a636b503827633d332b372b8fd % % 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 1919 9 NaN NaN NaN NaN NaN NaN 18.373 -0.093 1919 10 NaN NaN NaN NaN NaN NaN 17.412 4.965 1919 11 NaN NaN NaN NaN NaN NaN 8.635 1.349 1919 12 NaN NaN NaN NaN NaN NaN 2.488 -0.486 1920 1 NaN NaN NaN NaN NaN NaN 1.614 0.095 1920 2 NaN NaN NaN NaN NaN NaN 0.331 -2.331 1920 3 NaN NaN NaN NaN NaN NaN 5.609 -1.195 1920 4 NaN NaN NaN NaN NaN NaN 10.717 -1.246 1920 5 NaN NaN NaN NaN NaN NaN 14.347 -2.107 1920 6 NaN NaN NaN NaN NaN NaN 19.033 -0.958 1920 7 NaN NaN NaN NaN NaN NaN 20.784 -1.150 1920 8 NaN NaN NaN NaN NaN NaN 20.512 -1.073 1920 9 17.860 -0.294 0 0 17.860 -0.294 19.077 0.611 1920 10 11.156 -0.979 1 0 NaN NaN 12.736 0.288 1920 11 3.973 -3.001 0 0 3.973 -3.001 6.500 -0.786 1920 12 2.173 -0.489 1 0 NaN NaN 2.614 -0.359 1921 1 NaN NaN NaN NaN NaN NaN 2.285 0.766 1921 2 NaN NaN NaN NaN NaN NaN 3.459 0.797 1921 3 NaN NaN NaN NaN NaN NaN 11.923 5.119 1921 4 NaN NaN NaN NaN NaN NaN 12.512 0.549 1921 5 NaN NaN NaN NaN NaN NaN 15.001 -1.454 1921 6 NaN NaN NaN NaN NaN NaN 21.019 1.029 1921 7 22.905 1.282 0 0 22.905 1.282 21.981 0.046 1921 8 20.829 -0.444 0 0 20.829 -0.444 20.632 -0.953 1921 9 21.248 3.094 0 0 21.248 3.094 21.676 3.210 1921 10 12.127 -0.008 0 0 12.127 -0.008 11.754 -0.694 1921 11 7.898 0.924 0 0 7.898 0.924 9.274 1.988 1921 12 NaN NaN NaN NaN NaN NaN 4.849 1.875 1922 1 0.331 -0.876 0 0 0.331 -0.876 1.519 -0.000 1922 2 NaN NaN NaN NaN NaN NaN 5.321 2.660 1922 3 8.415 1.922 0 0 8.415 1.922 8.052 1.248 1922 4 NaN NaN NaN NaN NaN NaN 13.207 1.245 1922 5 NaN NaN NaN NaN NaN NaN 16.280 -0.175 1922 6 NaN NaN NaN NaN NaN NaN 20.522 0.531 1922 7 22.280 0.658 0 0 22.280 0.658 21.701 -0.233 1922 8 20.295 -0.978 0 0 20.295 -0.978 19.800 -1.785 1922 9 18.695 0.541 0 0 18.695 0.541 19.069 0.603 1922 10 13.005 0.869 0 0 13.005 0.869 12.805 0.358 1922 11 6.835 -0.139 0 0 6.835 -0.139 7.774 0.488 1922 12 4.932 2.271 0 0 4.932 2.271 5.371 2.397 1923 1 NaN NaN NaN NaN NaN NaN 3.410 1.891 1923 2 NaN NaN NaN NaN NaN NaN 1.276 -1.385 1923 3 NaN NaN NaN NaN NaN NaN 7.229 0.424 1923 4 NaN NaN NaN NaN NaN NaN 11.064 -0.899 1923 5 NaN NaN NaN NaN NaN NaN 14.920 -1.535 1923 6 NaN NaN NaN NaN NaN NaN 20.251 0.260 1923 7 NaN NaN NaN NaN NaN NaN 21.047 -0.887 1923 8 NaN NaN NaN NaN NaN NaN 21.492 -0.093 1923 9 18.640 0.486 0 0 18.640 0.486 19.076 0.610 1923 10 10.987 -1.148 0 0 10.987 -1.148 11.488 -0.959 1923 11 5.587 -1.388 0 0 5.587 -1.388 6.523 -0.763 1923 12 6.582 3.920 0 0 6.582 3.920 6.974 4.000 1924 1 0.027 -1.180 0 0 0.027 -1.180 0.084 -1.436 1924 2 1.105 -1.244 1 0 NaN NaN 0.822 -1.840 1924 3 3.795 -2.697 0 0 3.795 -2.697 4.570 -2.235 1924 4 11.973 0.323 0 0 11.973 0.323 11.142 -0.821 1924 5 13.195 -2.947 0 0 13.195 -2.947 13.738 -2.716 1924 6 20.937 1.258 0 0 20.937 1.258 20.585 0.594 1924 7 20.376 -1.247 0 0 20.376 -1.247 20.424 -1.511 1924 8 22.185 0.912 0 0 22.185 0.912 21.976 0.391 1924 9 15.427 -2.727 0 0 15.427 -2.727 16.202 -2.264 1924 10 NaN NaN NaN NaN NaN NaN 12.236 -0.212 1924 11 NaN NaN NaN NaN NaN NaN 7.809 0.523 1924 12 NaN NaN NaN NaN NaN NaN 3.024 0.050 1925 1 NaN NaN NaN NaN NaN NaN 1.972 0.453 1925 2 NaN NaN NaN NaN NaN NaN 5.845 3.183 1925 3 NaN NaN NaN NaN NaN NaN 7.916 1.112 1925 4 NaN NaN NaN NaN NaN NaN 13.572 1.609 1925 5 NaN NaN NaN NaN NaN NaN 14.169 -2.286 1925 6 NaN NaN NaN NaN NaN NaN 21.653 1.663 1925 7 NaN NaN NaN NaN NaN NaN 22.688 0.753 1925 8 NaN NaN NaN NaN NaN NaN 21.264 -0.321 1925 9 NaN NaN NaN NaN NaN NaN 22.294 3.828