% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31274 % Primary Name: WARRENTON WB AP % Record Type: TAVG % Country: United States % State: NC % Latitude: 36.41670 +/- 0.00005 % Longitude: -78.15000 +/- 0.00005 % Elevation (m): 132.00 +/- 0.05 % # of Months: 69 % % IDs: coop - 319075 % ghcnd - USW00013747 % gsod - 999999-13747 % ncdc - 20014022 % wban - 13747 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c2230d8a181420beae3338c6fe693978 % Raw Data Hash: f4b4eb271fc80ed9a1c6c556cf9d173c % Adj Data Hash: 0951297b7cb6aa9b6d4016e5106b9f8b % % 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 1 NaN NaN NaN NaN NaN NaN 3.788 -0.593 1942 2 NaN NaN NaN NaN NaN NaN 3.132 -2.381 1942 3 NaN NaN NaN NaN NaN NaN 10.988 1.148 1942 4 NaN NaN NaN NaN NaN NaN 16.188 0.994 1942 5 NaN NaN NaN NaN NaN NaN 20.893 1.194 1942 6 NaN NaN NaN NaN NaN NaN 25.023 1.469 1942 7 NaN NaN NaN NaN NaN NaN 26.920 1.173 1942 8 NaN NaN NaN NaN NaN NaN 24.719 -0.541 1942 9 NaN NaN NaN NaN NaN NaN 23.125 1.127 1942 10 NaN NaN NaN NaN NaN NaN 16.104 0.509 1942 11 NaN NaN NaN NaN NaN NaN 12.023 1.515 1942 12 NaN NaN NaN NaN NaN NaN 4.504 -1.170 1943 1 5.333 1.659 0 0 5.333 1.659 5.861 1.479 1943 2 5.944 1.139 0 0 5.944 1.139 6.228 0.715 1943 3 8.444 -0.688 0 0 8.444 -0.688 9.583 -0.256 1943 4 12.611 -1.876 0 0 12.611 -1.876 14.153 -1.041 1943 5 20.389 1.397 0 0 20.389 1.397 20.995 1.296 1943 6 25.944 3.097 0 0 25.944 3.097 26.428 2.874 1943 7 25.778 0.737 0 0 25.778 0.737 25.979 0.231 1943 8 25.111 0.557 0 0 25.111 0.557 25.818 0.557 1943 9 19.500 -1.792 0 0 19.500 -1.792 20.861 -1.138 1943 10 14.167 -0.722 0 0 14.167 -0.722 14.622 -0.973 1943 11 7.944 -1.857 0 0 7.944 -1.857 9.999 -0.510 1943 12 4.333 -0.633 0 0 4.333 -0.633 4.781 -0.892 1944 1 4.000 0.325 0 0 4.000 0.325 4.500 0.118 1944 2 5.389 0.583 0 0 5.389 0.583 5.955 0.443 1944 3 7.944 -1.188 0 0 7.944 -1.188 8.916 -0.923 1944 4 13.778 -0.709 0 0 13.778 -0.709 14.976 -0.218 1944 5 22.000 3.008 0 0 22.000 3.008 22.082 2.383 1944 6 25.000 2.153 0 0 25.000 2.153 25.217 1.663 1944 7 24.722 -0.318 0 0 24.722 -0.318 25.203 -0.545 1944 8 23.556 -0.998 0 0 23.556 -0.998 24.281 -0.980 1944 9 21.556 0.264 0 0 21.556 0.264 22.962 0.963 1944 10 14.500 -0.389 0 0 14.500 -0.389 15.037 -0.558 1944 11 8.556 -1.246 0 0 8.556 -1.246 9.777 -0.732 1944 12 2.444 -2.522 0 0 2.444 -2.522 2.906 -2.767 1945 1 2.556 -1.119 0 0 2.556 -1.119 3.201 -1.180 1945 2 5.667 0.861 0 0 5.667 0.861 6.064 0.551 1945 3 14.889 5.756 0 0 14.889 5.756 15.465 5.625 1945 4 16.222 1.735 0 0 16.222 1.735 17.534 2.341 1945 5 17.667 -1.326 0 0 17.667 -1.326 18.270 -1.429 1945 6 23.889 1.042 0 0 23.889 1.042 24.531 0.977 1945 7 24.611 -0.429 0 0 24.611 -0.429 25.525 -0.222 1945 8 23.444 -1.109 0 0 23.444 -1.109 24.264 -0.996 1945 9 23.000 1.708 0 0 23.000 1.708 24.272 2.273 1945 10 14.778 -0.111 0 0 14.778 -0.111 14.953 -0.642 1945 11 10.778 0.976 0 0 10.778 0.976 11.918 1.409 1945 12 1.556 -3.411 0 0 1.556 -3.411 2.407 -3.267 1946 1 4.444 0.770 0 0 4.444 0.770 5.327 0.946 1946 2 6.111 1.305 0 0 6.111 1.305 6.531 1.018 1946 3 13.056 3.923 0 0 13.056 3.923 13.698 3.859 1946 4 14.444 -0.042 0 0 14.444 -0.042 15.285 0.091 1946 5 18.667 -0.326 0 0 18.667 -0.326 19.347 -0.352 1946 6 22.889 0.042 0 0 22.889 0.042 23.155 -0.399 1946 7 24.000 -1.041 0 0 24.000 -1.041 24.611 -1.137 1946 8 22.778 -1.776 0 0 22.778 -1.776 23.458 -1.802 1946 9 21.333 0.041 0 0 21.333 0.041 22.146 0.147 1946 10 15.778 0.889 0 0 15.778 0.889 16.233 0.637 1946 11 12.222 2.420 0 0 12.222 2.420 13.629 3.121 1946 12 7.000 2.033 0 0 7.000 2.033 7.831 2.158 1947 1 7.500 3.825 0 0 7.500 3.825 8.070 3.688 1947 2 0.889 -3.917 0 0 0.889 -3.917 1.828 -3.684 1947 3 4.722 -4.411 0 0 4.722 -4.411 5.667 -4.172 1947 4 15.389 0.902 0 0 15.389 0.902 16.366 1.172 1947 5 19.333 0.341 0 0 19.333 0.341 20.187 0.487 1947 6 22.444 -0.403 0 0 22.444 -0.403 23.060 -0.494 1947 7 23.167 -1.874 0 0 23.167 -1.874 24.047 -1.700 1947 8 25.000 0.446 0 0 25.000 0.446 25.710 0.450 1947 9 25.778 4.486 0 0 25.778 4.486 22.706 0.707 1947 10 17.667 2.778 0 0 17.667 2.778 18.006 2.410 1947 11 8.111 -1.691 0 0 8.111 -1.691 9.551 -0.957 1947 12 4.056 -0.911 0 0 4.056 -0.911 4.490 -1.183 1948 1 0.667 -3.008 0 0 0.667 -3.008 1.441 -2.941 1948 2 4.556 -0.250 0 0 4.556 -0.250 5.119 -0.394 1948 3 11.000 1.867 0 0 11.000 1.867 12.235 2.395 1948 4 15.111 0.624 0 0 15.111 0.624 16.631 1.437 1948 5 19.222 0.230 0 0 19.222 0.230 19.813 0.114 1948 6 23.833 0.986 0 0 23.833 0.986 23.987 0.433 1948 7 25.556 0.515 0 0 25.556 0.515 26.284 0.537 1948 8 23.889 -0.665 0 0 23.889 -0.665 24.704 -0.556 1948 9 22.000 0.708 1 0 NaN NaN 21.715 -0.284 1948 10 NaN NaN NaN NaN NaN NaN 13.710 -1.886 1948 11 NaN NaN NaN NaN NaN NaN 13.989 3.480 1948 12 NaN NaN NaN NaN NaN NaN 7.202 1.529 1949 1 NaN NaN NaN NaN NaN NaN 9.264 4.883 1949 2 NaN NaN NaN NaN NaN NaN 8.866 3.354 1949 3 NaN NaN NaN NaN NaN NaN 10.509 0.669 1949 4 NaN NaN NaN NaN NaN NaN 14.956 -0.238 1949 5 NaN NaN NaN NaN NaN NaN 19.691 -0.009 1949 6 NaN NaN NaN NaN NaN NaN 24.165 0.611 1949 7 NaN NaN NaN NaN NaN NaN 26.914 1.167 1949 8 NaN NaN NaN NaN NaN NaN 25.581 0.321 1949 9 NaN NaN NaN NaN NaN NaN 21.237 -0.762