% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39613 % Primary Name: STRAFFORD % Record Type: TAVG % Country: United States % State: VT % Latitude: 43.86670 +/- 0.00005 % Longitude: -72.40000 +/- 0.00005 % Elevation (m): 152.40 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 438105 % % IDs: coop - 438105 % ghcnd - USC00438105 % ncdc - 12005703 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 03f2c6794db913e8f3260c318de9d88e % Raw Data Hash: 29295bad0400303d5dc9c63f12373a8b % Adj Data Hash: 2b82463217793434d97cd3b96f811955 % % 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 -8.794 0.414 1892 2 NaN NaN NaN NaN NaN NaN -7.684 0.518 1892 3 NaN NaN NaN NaN NaN NaN -4.701 -2.227 1892 4 NaN NaN NaN NaN NaN NaN 3.867 -0.318 1892 5 NaN NaN NaN NaN NaN NaN 9.543 -1.592 1892 6 NaN NaN NaN NaN NaN NaN 17.433 1.057 1892 7 NaN NaN NaN NaN NaN NaN 18.760 -0.143 1892 8 NaN NaN NaN NaN NaN NaN 17.616 -0.026 1892 9 NaN NaN NaN NaN NaN NaN 12.524 -0.694 1892 10 NaN NaN NaN NaN NaN NaN 5.936 -1.237 1892 11 NaN NaN NaN NaN NaN NaN 0.398 -0.713 1892 12 NaN NaN NaN NaN NaN NaN -8.616 -2.088 1893 1 -13.956 -5.918 1 0 NaN NaN -13.670 -4.462 1893 2 -8.988 -1.956 0 0 -8.988 -1.956 -10.507 -2.305 1893 3 -3.602 -2.298 0 0 -3.602 -2.298 -4.668 -2.195 1893 4 2.185 -3.170 0 0 2.185 -3.170 1.282 -2.903 1893 5 11.505 -0.800 0 0 11.505 -0.800 10.478 -0.657 1893 6 18.148 0.603 0 0 18.148 0.603 17.194 0.818 1893 7 18.477 -1.597 0 0 18.477 -1.597 17.829 -1.075 1893 8 NaN NaN NaN NaN NaN NaN 17.673 0.031 1893 9 11.630 -2.757 0 0 11.630 -2.757 10.237 -2.980 1893 10 9.427 1.083 0 0 9.427 1.083 8.151 0.978 1893 11 1.000 -1.281 0 0 1.000 -1.281 0.447 -0.664 1893 12 -7.115 -1.756 0 0 -7.115 -1.756 -9.394 -2.865 1894 1 -6.537 1.500 0 0 -6.537 1.500 -8.758 0.449 1894 2 -8.690 -1.658 0 0 -8.690 -1.658 -10.968 -2.766 1894 3 0.753 2.057 0 0 0.753 2.057 0.166 2.640 1894 4 6.519 1.163 0 0 6.519 1.163 5.163 0.977 1894 5 12.509 0.204 0 0 12.509 0.204 11.562 0.427 1894 6 17.667 0.121 0 0 17.667 0.121 17.340 0.964 1894 7 20.000 -0.074 0 0 20.000 -0.074 19.207 0.304 1894 8 16.756 -2.055 0 0 16.756 -2.055 15.607 -2.035 1894 9 15.326 0.939 1 0 NaN NaN 13.964 0.746 1894 10 8.692 0.348 0 0 8.692 0.348 7.477 0.303 1894 11 -1.389 -3.670 0 0 -1.389 -3.670 -1.535 -2.646 1894 12 -5.018 0.341 0 0 -5.018 0.341 -7.096 -0.568 1895 1 NaN NaN NaN NaN NaN NaN -9.239 -0.032 1895 2 NaN NaN NaN NaN NaN NaN -10.770 -2.568 1895 3 NaN NaN NaN NaN NaN NaN -4.887 -2.414 1895 4 NaN NaN NaN NaN NaN NaN 4.014 -0.172 1895 5 NaN NaN NaN NaN NaN NaN 12.857 1.722 1895 6 NaN NaN NaN NaN NaN NaN 18.021 1.646 1895 7 NaN NaN NaN NaN NaN NaN 17.510 -1.394 1895 8 17.926 -0.886 0 0 17.926 -0.886 16.904 -0.738 1895 9 NaN NaN NaN NaN NaN NaN 13.733 0.516 1895 10 NaN NaN NaN NaN NaN NaN 4.111 -3.063 1895 11 NaN NaN NaN NaN NaN NaN 1.958 0.846 1895 12 NaN NaN NaN NaN NaN NaN -5.418 1.110 1896 1 NaN NaN NaN NaN NaN NaN -9.980 -0.772 1896 2 NaN NaN NaN NaN NaN NaN -9.138 -0.935 1896 3 NaN NaN NaN NaN NaN NaN -5.672 -3.199 1896 4 NaN NaN NaN NaN NaN NaN 4.867 0.682 1896 5 NaN NaN NaN NaN NaN NaN 12.626 1.491 1896 6 NaN NaN NaN NaN NaN NaN 15.378 -0.997 1896 7 NaN NaN NaN NaN NaN NaN 19.180 0.276 1896 8 15.000 -3.812 1 0 NaN NaN 17.694 0.053 1896 9 NaN NaN NaN NaN NaN NaN 12.280 -0.937 1896 10 NaN NaN NaN NaN NaN NaN 5.367 -1.806 1896 11 NaN NaN NaN NaN NaN NaN 2.462 1.351 1896 12 NaN NaN NaN NaN NaN NaN -8.866 -2.337 1897 1 -22.750 -14.712 1 0 NaN NaN -8.846 0.361 1897 2 NaN NaN NaN NaN NaN NaN -7.758 0.445 1897 3 NaN NaN NaN NaN NaN NaN -3.226 -0.752 1897 4 NaN NaN NaN NaN NaN NaN 4.795 0.610 1897 5 NaN NaN NaN NaN NaN NaN 11.057 -0.078 1897 6 NaN NaN NaN NaN NaN NaN 13.772 -2.603 1897 7 NaN NaN NaN NaN NaN NaN 20.225 1.321 1897 8 NaN NaN NaN NaN NaN NaN 16.691 -0.951 1897 9 NaN NaN NaN NaN NaN NaN 12.411 -0.806 1897 10 NaN NaN NaN NaN NaN NaN 7.023 -0.151 1897 11 NaN NaN NaN NaN NaN NaN 0.085 -1.026 1897 12 NaN NaN NaN NaN NaN NaN -6.719 -0.191 1898 1 NaN NaN NaN NaN NaN NaN -10.351 -1.144