% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39011 % Primary Name: SIMONSVILLE % Record Type: TAVG % Country: United States % State: VT % Latitude: 43.25000 +/- 0.00500 % Longitude: -72.75000 +/- 0.00500 % Elevation (m): 54.86 +/- 0.15 % # of Months: 38 % % Alternate Names: Missing Station ID - 437310 % % IDs: coop - 437310 % ghcnd - USC00437310 % ncdc - 12005701 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c32e7ce864e0f5c2b2d81419212ece3b % Raw Data Hash: c093a4ef05514024ef9974b51c92c323 % Adj Data Hash: 92af60571435c7dff23b8e727972f278 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -5.608 0.137 1892 2 NaN NaN NaN NaN NaN NaN -4.690 -0.023 1892 3 NaN NaN NaN NaN NaN NaN -1.887 -2.470 1892 4 NaN NaN NaN NaN NaN NaN 6.668 -0.338 1892 5 NaN NaN NaN NaN NaN NaN 11.756 -1.477 1892 6 NaN NaN NaN NaN NaN NaN 19.636 1.341 1892 7 NaN NaN NaN NaN NaN NaN 20.731 -0.256 1892 8 NaN NaN NaN NaN NaN NaN 19.502 -0.327 1892 9 NaN NaN NaN NaN NaN NaN 14.400 -1.032 1892 10 NaN NaN NaN NaN NaN NaN 8.379 -1.018 1892 11 NaN NaN NaN NaN NaN NaN 2.808 -0.861 1892 12 NaN NaN NaN NaN NaN NaN -5.351 -2.012 1893 1 -12.363 -3.981 0 0 -12.363 -3.981 -10.011 -4.266 1893 2 -8.269 -0.965 1 0 NaN NaN -6.301 -1.634 1893 3 -4.627 -2.573 0 0 -4.627 -2.573 -1.588 -2.171 1893 4 1.868 -2.501 0 0 1.868 -2.501 4.902 -2.104 1893 5 9.841 -0.755 0 0 9.841 -0.755 12.433 -0.800 1893 6 17.130 1.472 0 0 17.130 1.472 18.205 -0.090 1893 7 16.953 -1.397 0 0 16.953 -1.397 19.858 -1.129 1893 8 16.362 -0.830 0 0 16.362 -0.830 19.427 -0.401 1893 9 8.611 -4.184 0 0 8.611 -4.184 12.676 -2.756 1893 10 7.337 0.577 0 0 7.337 0.577 10.091 0.693 1893 11 -1.609 -2.641 0 0 -1.609 -2.641 2.884 -0.785 1893 12 -9.643 -3.667 0 0 -9.643 -3.667 -5.172 -1.833 1894 1 -7.905 0.477 0 0 -7.905 0.477 -4.561 1.183 1894 2 -10.341 -3.037 0 0 -10.341 -3.037 -6.819 -2.152 1894 3 -0.077 1.977 0 0 -0.077 1.977 3.336 2.753 1894 4 3.372 -0.997 0 0 3.372 -0.997 7.065 0.059 1894 5 10.806 0.210 0 0 10.806 0.210 13.058 -0.175 1894 6 17.759 2.101 0 0 17.759 2.101 18.770 0.475 1894 7 19.148 0.798 0 0 19.148 0.798 21.586 0.598 1894 8 15.842 -1.350 0 0 15.842 -1.350 18.331 -1.498 1894 9 14.278 1.483 0 0 14.278 1.483 16.350 0.918 1894 10 7.944 1.184 0 0 7.944 1.184 9.441 0.044 1894 11 -1.916 -2.948 0 0 -1.916 -2.948 0.934 -2.735 1894 12 -4.767 1.209 0 0 -4.767 1.209 -4.306 -0.967 1895 1 -8.690 -0.309 0 0 -8.690 -0.309 -6.375 -0.630 1895 2 -10.596 -3.292 0 0 -10.596 -3.292 -8.280 -3.613 1895 3 -5.526 -3.472 0 0 -5.526 -3.472 -1.321 -1.904 1895 4 4.074 -0.295 0 0 4.074 -0.295 6.433 -0.573 1895 5 13.387 2.791 0 0 13.387 2.791 14.301 1.068 1895 6 17.593 1.935 0 0 17.593 1.935 19.251 0.956 1895 7 16.613 -1.737 0 0 16.613 -1.737 18.958 -2.029 1895 8 16.992 -0.200 0 0 16.992 -0.200 19.355 -0.474 1895 9 14.037 1.242 0 0 14.037 1.242 16.159 0.727 1895 10 3.548 -3.212 0 0 3.548 -3.212 6.306 -3.091 1895 11 1.130 0.098 0 0 1.130 0.098 4.671 1.002 1895 12 -4.229 1.747 0 0 -4.229 1.747 -2.308 1.031 1896 1 -10.216 -1.834 0 0 -10.216 -1.834 -7.277 -1.532 1896 2 -8.113 -0.809 0 0 -8.113 -0.809 -5.186 -0.518 1896 3 NaN NaN NaN NaN NaN NaN -2.575 -3.158 1896 4 NaN NaN NaN NaN NaN NaN 7.809 0.804 1896 5 NaN NaN NaN NaN NaN NaN 14.842 1.608 1896 6 NaN NaN NaN NaN NaN NaN 17.077 -1.218 1896 7 NaN NaN NaN NaN NaN NaN 21.062 0.075 1896 8 NaN NaN NaN NaN NaN NaN 19.819 -0.010 1896 9 NaN NaN NaN NaN NaN NaN 14.424 -1.008 1896 10 NaN NaN NaN NaN NaN NaN 7.297 -2.100 1896 11 NaN NaN NaN NaN NaN NaN 5.613 1.945 1896 12 NaN NaN NaN NaN NaN NaN -5.367 -2.028 1897 1 NaN NaN NaN NaN NaN NaN -5.268 0.477 1897 2 NaN NaN NaN NaN NaN NaN -4.511 0.156