% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38360 % Primary Name: ANDOVER % Record Type: TAVG % Country: United States % State: MA % Latitude: 42.65000 +/- 0.00005 % Longitude: -71.13330 +/- 0.00005 % Elevation (m): 84.12 +/- 0.15 % # of Months: 63 % % Alternate Names: Missing Station ID - 190130 % % IDs: coop - 190130 % ghcnd - USC00190130 % ncdc - 12002378 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d5e506f10cbedbe45b1fce0d723ab31e % Raw Data Hash: f72ceb28892cffcadcc7fcafdbf90318 % Adj Data Hash: 5381c77077789e623890386b29131c13 % % 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 1 NaN NaN NaN NaN NaN NaN -2.272 3.472 1889 2 NaN NaN NaN NaN NaN NaN -7.276 -2.609 1889 3 NaN NaN NaN NaN NaN NaN 1.103 0.520 1889 4 NaN NaN NaN NaN NaN NaN 7.716 0.710 1889 5 NaN NaN NaN NaN NaN NaN 14.543 1.310 1889 6 NaN NaN NaN NaN NaN NaN 18.682 0.387 1889 7 NaN NaN NaN NaN NaN NaN 19.688 -1.299 1889 8 NaN NaN NaN NaN NaN NaN 17.871 -1.958 1889 9 NaN NaN NaN NaN NaN NaN 15.345 -0.087 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 -0.803 4.203 1 0 NaN NaN -2.903 2.842 1890 2 -0.900 3.029 1 0 NaN NaN -2.397 2.270 1890 3 -0.045 -1.366 1 0 NaN NaN -1.478 -2.061 1890 4 7.115 -0.629 1 0 NaN NaN 6.251 -0.755 1890 5 13.955 -0.017 0 0 13.955 -0.017 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 NaN NaN NaN NaN NaN NaN 7.706 -1.691 1890 11 NaN NaN NaN NaN NaN NaN 2.446 -1.222 1890 12 NaN NaN NaN NaN NaN NaN -7.944 -4.605 1891 1 NaN NaN NaN NaN NaN NaN -4.531 1.214 1891 2 NaN NaN NaN NaN NaN NaN -3.565 1.102 1891 3 NaN NaN NaN NaN NaN NaN -1.021 -1.604 1891 4 NaN NaN NaN NaN NaN NaN 7.426 0.421 1891 5 NaN NaN NaN NaN NaN NaN 11.938 -1.296 1891 6 NaN NaN NaN NaN NaN NaN 17.406 -0.889 1891 7 NaN NaN NaN NaN NaN NaN 18.712 -2.275 1891 8 NaN NaN NaN NaN NaN NaN 19.611 -0.217 1891 9 NaN NaN NaN NaN NaN NaN 17.027 1.595 1891 10 NaN NaN NaN NaN NaN NaN 7.899 -1.498 1891 11 NaN NaN NaN NaN NaN NaN 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 21.743 0.017 0 2 21.743 0.017 20.731 -0.256 1892 8 20.688 0.121 1 0 NaN NaN 19.502 -0.327 1892 9 15.036 -1.135 0 0 15.036 -1.135 14.400 -1.032 1892 10 9.056 -1.080 0 0 9.056 -1.080 8.379 -1.018 1892 11 3.966 -0.442 0 0 3.966 -0.442 2.808 -0.861 1892 12 -2.670 -0.070 0 0 -2.670 -0.070 -5.351 -2.012 1893 1 -8.040 -3.034 0 0 -8.040 -3.034 -10.011 -4.266 1893 2 -4.972 -1.044 0 0 -4.972 -1.044 -6.301 -1.634 1893 3 -0.441 -1.762 0 0 -0.441 -1.762 -1.588 -2.171 1893 4 5.648 -2.096 0 0 5.648 -2.096 4.902 -2.104 1893 5 12.204 -1.768 0 0 12.204 -1.768 12.433 -0.800 1893 6 16.905 -2.129 0 0 16.905 -2.129 18.205 -0.090 1893 7 19.444 -2.281 0 0 19.444 -2.281 19.858 -1.129 1893 8 NaN NaN NaN NaN NaN NaN 19.427 -0.401 1893 9 13.056 -3.115 0 0 13.056 -3.115 12.676 -2.756 1893 10 9.713 -0.423 0 0 9.713 -0.423 10.091 0.693 1893 11 2.037 -2.370 0 0 2.037 -2.370 2.884 -0.785 1893 12 -2.928 -0.328 0 0 -2.928 -0.328 -5.172 -1.833 1894 1 -3.314 1.692 0 0 -3.314 1.692 -4.561 1.183 1894 2 -4.250 -0.321 0 0 -4.250 -0.321 -6.819 -2.152 1894 3 2.854 1.533 0 0 2.854 1.533 3.336 2.753 1894 4 6.786 -0.959 0 0 6.786 -0.959 7.065 0.059 1894 5 13.824 -0.147 0 0 13.824 -0.147 13.058 -0.175 1894 6 17.981 -1.052 0 0 17.981 -1.052 18.770 0.475 1894 7 20.611 -1.115 0 0 20.611 -1.115 21.586 0.598 1894 8 18.302 -2.265 1 0 NaN NaN 18.331 -1.498 1894 9 15.722 -0.448 0 0 15.722 -0.448 16.350 0.918 1894 10 9.481 -0.655 0 0 9.481 -0.655 9.441 0.044 1894 11 1.193 -3.214 0 0 1.193 -3.214 0.934 -2.735 1894 12 -3.065 -0.465 0 0 -3.065 -0.465 -4.306 -0.967 1895 1 -4.928 0.078 0 0 -4.928 0.078 -6.375 -0.630 1895 2 -5.207 -1.279 0 0 -5.207 -1.279 -8.280 -3.613 1895 3 -1.054 -2.375 0 0 -1.054 -2.375 -1.321 -1.904 1895 4 6.296 -1.448 0 0 6.296 -1.448 6.433 -0.573 1895 5 13.011 -0.961 0 0 13.011 -0.961 14.301 1.068 1895 6 18.074 -0.959 0 0 18.074 -0.959 19.251 0.956 1895 7 18.391 -3.335 0 0 18.391 -3.335 18.958 -2.029 1895 8 17.722 -2.845 1 0 NaN NaN 19.355 -0.474 1895 9 NaN NaN NaN NaN NaN NaN 16.159 0.727 1895 10 7.616 -2.520 0 0 7.616 -2.520 6.306 -3.091 1895 11 5.407 1.000 0 0 5.407 1.000 4.671 1.002 1895 12 0.753 3.353 0 0 0.753 3.353 -2.308 1.031 1896 1 -5.323 -0.316 0 0 -5.323 -0.316 -7.277 -1.532 1896 2 -3.544 0.384 0 0 -3.544 0.384 -5.186 -0.518 1896 3 0.222 -1.099 1 0 NaN NaN -2.575 -3.158 1896 4 2.222 -5.522 1 0 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 21.333 -0.392 1 0 NaN NaN 21.062 0.075 1896 8 20.947 0.380 0 0 20.947 0.380 19.819 -0.010 1896 9 15.317 -0.853 0 0 15.317 -0.853 14.424 -1.008 1896 10 8.136 -2.000 0 0 8.136 -2.000 7.297 -2.100 1896 11 6.322 1.915 0 0 6.322 1.915 5.613 1.945 1896 12 -2.957 -0.356 0 0 -2.957 -0.356 -5.367 -2.028 1897 1 -3.417 1.590 0 0 -3.417 1.590 -5.268 0.477 1897 2 -2.511 1.417 1 0 NaN NaN -4.511 0.156 1897 3 1.409 0.087 0 0 1.409 0.087 0.130 -0.453 1897 4 9.330 1.585 0 0 9.330 1.585 7.613 0.607 1897 5 14.104 0.132 0 0 14.104 0.132 13.108 -0.125 1897 6 15.657 -3.377 0 0 15.657 -3.377 15.677 -2.618 1897 7 21.332 -0.393 0 0 21.332 -0.393 21.349 0.361 1897 8 19.832 -0.735 0 0 19.832 -0.735 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 1897 12 NaN NaN NaN NaN NaN NaN -3.181 0.158 1898 1 NaN NaN NaN NaN NaN NaN -5.954 -0.209 1898 2 NaN NaN NaN NaN NaN NaN -3.730 0.938 1898 3 NaN NaN NaN NaN NaN NaN 3.536 2.953 1898 4 NaN NaN NaN NaN NaN NaN 5.077 -1.929 1898 5 NaN NaN NaN NaN NaN NaN 12.355 -0.878 1898 6 NaN NaN NaN NaN NaN NaN 18.117 -0.178 1898 7 NaN NaN NaN NaN NaN NaN 21.206 0.219 1898 8 NaN NaN NaN NaN NaN NaN 20.635 0.806