% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37463 % Primary Name: TAUNTON NO 184 % Record Type: TAVG % Country: United States % State: MA % Latitude: 41.90000 +/- 0.00833 % Longitude: -71.10000 +/- 0.00833 % Elevation (m): 12.19 +/- 0.15 % # of Months: 54 % % Alternate Names: Missing Station ID - 198376 % % IDs: coop - 198376 % ghcnd - USC00198376 % ncdc - 12002475 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e4ddf9bf2b1c02dbcd29c45ea9364e61 % Raw Data Hash: bd7d146a757dd3491985744d37a1b1ee % Adj Data Hash: 3f72c96736383abe1feb2b62b8e1b00f % % 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 1889 10 NaN NaN NaN NaN NaN NaN 6.737 -2.660 1889 11 NaN NaN NaN NaN NaN NaN 4.559 0.890 1889 12 NaN NaN NaN NaN NaN NaN -1.033 2.306 1890 1 NaN NaN NaN NaN NaN NaN -2.903 2.842 1890 2 NaN NaN NaN NaN NaN NaN -2.397 2.270 1890 3 NaN NaN NaN NaN NaN NaN -1.478 -2.061 1890 4 NaN NaN NaN NaN NaN NaN 6.251 -0.755 1890 5 NaN NaN NaN NaN NaN NaN 12.619 -0.614 1890 6 NaN NaN NaN NaN NaN NaN 16.997 -1.298 1890 7 NaN NaN NaN NaN NaN NaN 19.908 -1.079 1890 8 NaN NaN NaN NaN NaN NaN 18.722 -1.106 1890 9 NaN NaN NaN NaN NaN NaN 14.863 -0.569 1890 10 8.756 -2.521 0 0 8.756 -2.521 7.706 -1.691 1890 11 3.512 -2.037 0 0 3.512 -2.037 2.446 -1.222 1890 12 -5.106 -3.647 1 0 NaN NaN -7.944 -4.605 1891 1 -2.055 1.810 0 0 -2.055 1.810 -4.531 1.214 1891 2 -0.986 1.801 0 0 -0.986 1.801 -3.565 1.102 1891 3 1.184 -1.279 0 0 1.184 -1.279 -1.021 -1.604 1891 4 8.762 -0.124 0 0 8.762 -0.124 7.426 0.421 1891 5 13.276 -1.837 0 0 13.276 -1.837 11.938 -1.296 1891 6 18.305 -1.870 0 0 18.305 -1.870 17.406 -0.889 1891 7 20.048 -2.819 0 0 20.048 -2.819 18.712 -2.275 1891 8 21.910 0.201 0 0 21.910 0.201 19.611 -0.217 1891 9 19.093 1.782 0 0 19.093 1.782 17.027 1.595 1891 10 10.372 -0.906 0 0 10.372 -0.906 7.899 -1.498 1891 11 4.353 -1.196 0 0 4.353 -1.196 2.676 -0.993 1891 12 NaN NaN NaN NaN NaN NaN 0.409 3.748 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 15.630 -1.682 0 0 15.630 -1.682 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 -1.971 -0.512 0 0 -1.971 -0.512 -5.351 -2.012 1893 1 -6.630 -2.765 0 0 -6.630 -2.765 -10.011 -4.266 1893 2 -4.120 -1.333 0 0 -4.120 -1.333 -6.301 -1.634 1893 3 0.397 -2.066 0 0 0.397 -2.066 -1.588 -2.171 1893 4 6.548 -2.338 0 0 6.548 -2.338 4.902 -2.104 1893 5 13.835 -1.278 0 0 13.835 -1.278 12.433 -0.800 1893 6 18.500 -1.675 0 0 18.500 -1.675 18.205 -0.090 1893 7 21.577 -1.290 0 0 21.577 -1.290 19.858 -1.129 1893 8 21.219 -0.490 0 0 21.219 -0.490 19.427 -0.401 1893 9 14.833 -2.478 0 0 14.833 -2.478 12.676 -2.756 1893 10 12.258 0.980 0 0 12.258 0.980 10.091 0.693 1893 11 5.000 -0.549 0 0 5.000 -0.549 2.884 -0.785 1893 12 -0.448 1.011 0 0 -0.448 1.011 -5.172 -1.833 1894 1 -1.792 2.072 0 0 -1.792 2.072 -4.561 1.183 1894 2 -3.413 -0.626 0 0 -3.413 -0.626 -6.819 -2.152 1894 3 4.373 1.910 0 0 4.373 1.910 3.336 2.753 1894 4 7.241 -1.645 0 0 7.241 -1.645 7.065 0.059 1894 5 14.194 -0.920 0 0 14.194 -0.920 13.058 -0.175 1894 6 19.315 -0.860 0 0 19.315 -0.860 18.770 0.475 1894 7 22.419 -0.448 1 0 NaN NaN 21.586 0.598 1894 8 19.752 -1.957 0 0 19.752 -1.957 18.331 -1.498 1894 9 17.816 0.504 0 0 17.816 0.504 16.350 0.918 1894 10 11.183 -0.095 0 0 11.183 -0.095 9.441 0.044 1894 11 2.889 -2.660 0 0 2.889 -2.660 0.934 -2.735 1894 12 -0.609 0.850 0 0 -0.609 0.850 -4.306 -0.967 1895 1 -2.401 1.463 0 0 -2.401 1.463 -6.375 -0.630 1895 2 -5.397 -2.610 0 0 -5.397 -2.610 -8.280 -3.613 1895 3 1.057 -1.406 0 0 1.057 -1.406 -1.321 -1.904 1895 4 7.889 -0.997 0 0 7.889 -0.997 6.433 -0.573 1895 5 15.333 0.220 0 0 15.333 0.220 14.301 1.068 1895 6 19.796 -0.379 0 0 19.796 -0.379 19.251 0.956 1895 7 19.463 -3.404 0 0 19.463 -3.404 18.958 -2.029 1895 8 20.681 -1.028 0 0 20.681 -1.028 19.355 -0.474 1895 9 NaN NaN NaN NaN NaN NaN 16.159 0.727 1895 10 NaN NaN NaN NaN NaN NaN 6.306 -3.091 1895 11 NaN NaN NaN NaN NaN NaN 4.671 1.002 1895 12 NaN NaN NaN NaN NaN NaN -2.308 1.031 1896 1 -6.710 -2.845 0 0 -6.710 -2.845 -7.277 -1.532 1896 2 NaN NaN NaN NaN NaN NaN -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 22.437 -0.430 1 0 NaN NaN 21.062 0.075 1896 8 21.470 -0.239 0 0 21.470 -0.239 19.819 -0.010 1896 9 15.722 -1.590 0 0 15.722 -1.590 14.424 -1.008 1896 10 11.259 -0.018 0 0 11.259 -0.018 7.297 -2.100 1896 11 7.595 2.046 0 0 7.595 2.046 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 1897 3 NaN NaN NaN NaN NaN NaN 0.130 -0.453 1897 4 NaN NaN NaN NaN NaN NaN 7.613 0.607 1897 5 NaN NaN NaN NaN NaN NaN 13.108 -0.125 1897 6 NaN NaN NaN NaN NaN NaN 15.677 -2.618 1897 7 NaN NaN NaN NaN NaN NaN 21.349 0.361 1897 8 NaN NaN NaN NaN NaN NaN 18.654 -1.174 1897 9 NaN NaN NaN NaN NaN NaN 14.723 -0.709 1897 10 NaN NaN NaN NaN NaN NaN 9.400 0.003 1897 11 NaN NaN NaN NaN NaN NaN 2.740 -0.929