% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33661 % Primary Name: MOUNT JACKSON % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.83330 +/- 0.00005 % Longitude: -78.65000 +/- 0.00005 % Elevation (m): 320.00 +/- 0.05 % # of Months: 69 % % Alternate Names: MT JACKSON % % IDs: coop - 445822 % ghcnd - USC00445822 % ncdc - 20027253 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2b6cfa59e7f65ace805bdfad3bc56f67 % Raw Data Hash: 15e7a03cc2e98cc9a326082605431bf8 % Adj Data Hash: 99d3d14f0d821993b04f79575df56da8 % % 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 1945 1 NaN NaN NaN NaN NaN NaN -4.467 -2.359 1945 2 NaN NaN NaN NaN NaN NaN -0.526 0.404 1945 3 NaN NaN NaN NaN NaN NaN 10.245 6.224 1945 4 NaN NaN NaN NaN NaN NaN 12.041 2.075 1945 5 NaN NaN NaN NaN NaN NaN 13.435 -1.816 1945 6 NaN NaN NaN NaN NaN NaN 19.226 -0.303 1945 7 NaN NaN NaN NaN NaN NaN 21.339 -0.344 1945 8 NaN NaN NaN NaN NaN NaN 20.474 -0.600 1945 9 NaN NaN NaN NaN NaN NaN 19.212 1.700 1945 10 NaN NaN NaN NaN NaN NaN 10.555 -0.432 1945 11 NaN NaN NaN NaN NaN NaN 6.454 1.074 1945 12 NaN NaN NaN NaN NaN NaN -3.365 -3.332 1946 1 1.667 2.020 0 0 1.667 2.020 -0.626 1.482 1946 2 2.778 1.953 0 0 2.778 1.953 -0.179 0.751 1946 3 9.778 4.002 0 0 9.778 4.002 8.821 4.800 1946 4 11.889 0.168 0 0 11.889 0.168 9.924 -0.042 1946 5 16.222 -0.783 0 0 16.222 -0.783 14.715 -0.536 1946 6 20.278 -1.006 0 0 20.278 -1.006 18.926 -0.603 1946 7 22.000 -1.438 0 0 22.000 -1.438 20.924 -0.759 1946 8 20.111 -2.718 0 0 20.111 -2.718 18.661 -2.413 1946 9 18.778 -0.489 0 0 18.778 -0.489 17.695 0.183 1946 10 13.889 1.147 0 0 13.889 1.147 12.628 1.640 1946 11 9.333 2.199 0 0 9.333 2.199 8.015 2.636 1946 12 4.444 2.724 0 0 4.444 2.724 1.986 2.020 1947 1 4.278 4.631 0 0 4.278 4.631 1.898 4.006 1947 2 -1.778 -2.602 0 0 -1.778 -2.602 -5.148 -4.218 1947 3 1.778 -3.998 0 0 1.778 -3.998 0.100 -3.921 1947 4 13.167 1.446 0 0 13.167 1.446 11.717 1.751 1947 5 16.111 -0.894 0 0 16.111 -0.894 14.541 -0.710 1947 6 20.111 -1.172 0 0 20.111 -1.172 18.777 -0.752 1947 7 21.944 -1.493 0 0 21.944 -1.493 20.074 -1.609 1947 8 24.444 1.616 0 0 24.444 1.616 23.027 1.953 1947 9 19.111 -0.155 0 0 19.111 -0.155 18.111 0.599 1947 10 16.111 3.369 0 0 16.111 3.369 14.404 3.417 1947 11 5.944 -1.190 0 0 5.944 -1.190 4.525 -0.855 1947 12 1.500 -0.221 0 0 1.500 -0.221 -0.839 -0.805 1948 1 -2.056 -1.702 0 0 -2.056 -1.702 -5.850 -3.742 1948 2 1.667 0.842 0 0 1.667 0.842 -0.623 0.307 1948 3 8.444 2.669 0 0 8.444 2.669 6.669 2.648 1948 4 13.056 1.335 0 0 13.056 1.335 12.084 2.118 1948 5 16.500 -0.506 0 0 16.500 -0.506 14.565 -0.686 1948 6 21.389 0.105 0 0 21.389 0.105 19.606 0.077 1948 7 23.111 -0.327 0 0 23.111 -0.327 21.586 -0.097 1948 8 21.667 -1.162 0 0 21.667 -1.162 20.617 -0.457 1948 9 18.222 -1.044 0 0 18.222 -1.044 17.457 -0.054 1948 10 11.500 -1.242 0 0 11.500 -1.242 9.581 -1.406 1948 11 9.222 2.088 0 0 9.222 2.088 8.068 2.688 1948 12 3.389 1.668 0 0 3.389 1.668 1.018 1.052 1949 1 5.944 6.298 0 0 5.944 6.298 3.143 5.251 1949 2 6.056 5.231 0 0 6.056 5.231 2.888 3.818 1949 3 6.778 1.002 0 0 6.778 1.002 4.532 0.511 1949 4 10.278 -1.443 0 0 10.278 -1.443 9.348 -0.618 1949 5 16.722 -0.283 0 0 16.722 -0.283 15.261 0.011 1949 6 21.889 0.605 0 0 21.889 0.605 20.447 0.918 1949 7 24.722 1.284 0 0 24.722 1.284 23.354 1.670 1949 8 22.333 -0.496 0 0 22.333 -0.496 21.260 0.185 1949 9 16.944 -2.322 0 0 16.944 -2.322 15.443 -2.068 1949 10 15.667 2.925 0 0 15.667 2.925 13.794 2.806 1949 11 7.167 0.032 0 0 7.167 0.032 5.699 0.319 1949 12 3.667 1.946 0 0 3.667 1.946 1.414 1.447 1950 1 8.056 8.409 0 0 8.056 8.409 5.192 7.299 1950 2 2.778 1.953 0 0 2.778 1.953 -0.179 0.751 1950 3 4.278 -1.498 0 0 4.278 -1.498 2.107 -1.914 1950 4 9.944 -1.776 0 0 9.944 -1.776 8.016 -1.950 1950 5 16.778 -0.228 0 0 16.778 -0.228 15.350 0.099 1950 6 20.500 -0.783 0 0 20.500 -0.783 18.939 -0.589 1950 7 21.778 -1.660 0 0 21.778 -1.660 20.040 -1.644 1950 8 21.611 -1.218 0 0 21.611 -1.218 20.207 -0.867 1950 9 17.000 -2.266 0 0 17.000 -2.266 16.389 -1.123 1950 10 13.444 0.703 0 0 13.444 0.703 12.250 1.263 1950 11 6.278 -0.856 0 0 6.278 -0.856 4.471 -0.908 1950 12 -0.278 -1.999 0 0 -0.278 -1.999 -2.900 -2.867 1951 1 2.278 2.631 0 0 2.278 2.631 -0.006 2.101 1951 2 2.389 1.565 0 0 2.389 1.565 0.235 1.166 1951 3 5.944 0.169 0 0 5.944 0.169 4.276 0.255 1951 4 11.222 -0.498 0 0 11.222 -0.498 9.690 -0.276 1951 5 16.222 -0.783 0 0 16.222 -0.783 15.145 -0.106 1951 6 20.944 -0.339 0 0 20.944 -0.339 19.711 0.182 1951 7 23.444 0.007 0 0 23.444 0.007 21.801 0.118 1951 8 21.944 -0.884 0 0 21.944 -0.884 20.637 -0.438 1951 9 21.040 1.774 1 0 NaN NaN 17.629 0.117 1951 10 NaN NaN NaN NaN NaN NaN 12.712 1.724 1951 11 NaN NaN NaN NaN NaN NaN 2.810 -2.570 1951 12 NaN NaN NaN NaN NaN NaN 0.599 0.633 1952 1 NaN NaN NaN NaN NaN NaN 1.363 3.471 1952 2 NaN NaN NaN NaN NaN NaN 1.013 1.943 1952 3 NaN NaN NaN NaN NaN NaN 3.595 -0.426 1952 4 NaN NaN NaN NaN NaN NaN 10.377 0.411 1952 5 NaN NaN NaN NaN NaN NaN 14.397 -0.854 1952 6 NaN NaN NaN NaN NaN NaN 21.438 1.909 1952 7 NaN NaN NaN NaN NaN NaN 23.046 1.363 1952 8 NaN NaN NaN NaN NaN NaN 21.102 0.028 1952 9 NaN NaN NaN NaN NaN NaN 16.996 -0.515