% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32930 % Primary Name: VERONA % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.18330 +/- 0.00005 % Longitude: -79.01670 +/- 0.00005 % Elevation (m): 426.72 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 448685 % % IDs: coop - 448685 % ghcnd - USC00448685 % ncdc - 12005797 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9aeb36b0e42409d1a8f509289f60aded % Raw Data Hash: ff2d38dccf90665abd132d65b6402f71 % Adj Data Hash: 90432188a7f284fa9245cdc632ee5486 % % 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 1942 10 NaN NaN NaN NaN NaN NaN 13.656 0.933 1942 11 NaN NaN NaN NaN NaN NaN 8.507 1.271 1942 12 NaN NaN NaN NaN NaN NaN 0.418 -1.832 1943 1 NaN NaN NaN NaN NaN NaN 2.668 1.984 1943 2 NaN NaN NaN NaN NaN NaN 2.461 0.445 1943 3 NaN NaN NaN NaN NaN NaN 6.055 -0.702 1943 4 NaN NaN NaN NaN NaN NaN 10.789 -1.591 1943 5 NaN NaN NaN NaN NaN NaN 18.286 1.104 1943 6 NaN NaN NaN NaN NaN NaN 23.818 2.788 1943 7 NaN NaN NaN NaN NaN NaN 23.168 -0.073 1943 8 NaN NaN NaN NaN NaN NaN 23.421 0.703 1943 9 NaN NaN NaN NaN NaN NaN 17.750 -1.394 1943 10 13.155 -0.462 1 0 NaN NaN 12.246 -0.477 1943 11 7.500 -0.630 0 0 7.500 -0.630 6.938 -0.297 1943 12 NaN NaN NaN NaN NaN NaN 1.752 -0.498 1944 1 3.650 2.070 0 0 3.650 2.070 1.821 1.136 1944 2 5.186 2.275 0 0 5.186 2.275 3.136 1.121 1944 3 8.127 0.475 0 0 8.127 0.475 5.912 -0.845 1944 4 14.423 1.148 0 0 14.423 1.148 11.858 -0.523 1944 5 22.558 4.481 1 0 NaN NaN 19.690 2.509 1944 6 22.852 0.927 0 0 22.852 0.927 22.443 1.412 1944 7 23.379 -0.757 1 0 NaN NaN 23.047 -0.194 1944 8 22.233 -1.380 0 0 22.233 -1.380 22.378 -0.339 1944 9 19.622 -0.417 0 0 19.622 -0.417 19.528 0.384 1944 10 13.835 0.218 0 0 13.835 0.218 12.220 -0.502 1944 11 8.010 -0.120 0 0 8.010 -0.120 7.030 -0.205 1944 12 1.279 -1.866 0 0 1.279 -1.866 -0.386 -2.635 1945 1 0.510 -1.070 0 0 0.510 -1.070 -0.195 -0.880 1945 2 4.002 1.091 0 0 4.002 1.091 2.712 0.697 1945 3 13.548 5.896 0 0 13.548 5.896 12.366 5.609 1945 4 14.435 1.159 0 0 14.435 1.159 14.114 1.734 1945 5 15.950 -2.127 0 0 15.950 -2.127 15.311 -1.870 1945 6 21.912 -0.014 0 0 21.912 -0.014 21.092 0.062 1945 7 22.808 -1.328 0 0 22.808 -1.328 23.084 -0.156 1945 8 22.581 -1.032 0 0 22.581 -1.032 22.252 -0.466 1945 9 21.342 1.303 0 0 21.342 1.303 21.215 2.071 1945 10 13.100 -0.518 0 0 13.100 -0.518 12.418 -0.304 1945 11 9.171 1.041 0 0 9.171 1.041 8.448 1.213 1945 12 0.047 -3.098 0 0 0.047 -3.098 -1.150 -3.400 1946 1 3.026 1.446 0 0 3.026 1.446 1.672 0.987 1946 2 4.314 1.403 0 0 4.314 1.403 2.940 0.924 1946 3 10.694 3.041 0 0 10.694 3.041 10.466 3.709 1946 4 12.980 -0.296 0 0 12.980 -0.296 13.343 0.962 1946 5 NaN NaN NaN NaN NaN NaN 16.250 -0.932 1946 6 NaN NaN NaN NaN NaN NaN 20.730 -0.301 1946 7 NaN NaN NaN NaN NaN NaN 22.257 -0.984 1946 8 NaN NaN NaN NaN NaN NaN 20.564 -2.153 1946 9 NaN NaN NaN NaN NaN NaN 19.248 0.104 1946 10 NaN NaN NaN NaN NaN NaN 13.647 0.925 1946 11 NaN NaN NaN NaN NaN NaN 10.090 2.855 1946 12 NaN NaN NaN NaN NaN NaN 4.366 2.117 1947 1 NaN NaN NaN NaN NaN NaN 4.253 3.568 1947 2 NaN NaN NaN NaN NaN NaN -2.091 -4.107 1947 3 NaN NaN NaN NaN NaN NaN 2.337 -4.421 1947 4 NaN NaN NaN NaN NaN NaN 13.674 1.293