% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38566 % Primary Name: ARLINGTON MILLS % Record Type: TAVG % Country: United States % State: NH % Latitude: 42.81670 +/- 0.00005 % Longitude: -71.20000 +/- 0.00005 % Elevation (m): 51.21 +/- 0.15 % # of Months: 51 % % Alternate Names: Missing Station ID - 270275 % % IDs: coop - 270275 % ghcnd - USC00270275 % ncdc - 12003446 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ae37c30e306f76175f03180dede28321 % Raw Data Hash: 07b0debf17f40207fec3338c38a1fefd % Adj Data Hash: 1944fd122ee8b3e78ba42bc922731ca5 % % 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 1926 8 NaN NaN NaN NaN NaN NaN 19.304 -0.525 1926 9 NaN NaN NaN NaN NaN NaN 14.378 -1.054 1926 10 NaN NaN NaN NaN NaN NaN 8.116 -1.281 1926 11 NaN NaN NaN NaN NaN NaN 3.783 0.114 1926 12 NaN NaN NaN NaN NaN NaN -6.948 -3.609 1927 1 NaN NaN NaN NaN NaN NaN -5.345 0.400 1927 2 NaN NaN NaN NaN NaN NaN -3.248 1.419 1927 3 NaN NaN NaN NaN NaN NaN 2.322 1.739 1927 4 NaN NaN NaN NaN NaN NaN 6.620 -0.386 1927 5 NaN NaN NaN NaN NaN NaN 11.097 -2.136 1927 6 NaN NaN NaN NaN NaN NaN 15.993 -2.302 1927 7 NaN NaN NaN NaN NaN NaN 20.521 -0.467 1927 8 17.929 -2.695 0 0 17.929 -2.695 17.351 -2.477 1927 9 16.445 0.218 0 0 16.445 0.218 15.177 -0.255 1927 10 12.417 2.224 0 0 12.417 2.224 11.064 1.667 1927 11 7.248 2.784 1 0 NaN NaN 6.477 2.808 1927 12 -0.018 2.526 0 0 -0.018 2.526 -2.397 0.942 1928 1 -2.619 2.330 0 0 -2.619 2.330 -3.758 1.987 1928 2 -4.207 -0.335 0 0 -4.207 -0.335 -4.926 -0.259 1928 3 0.013 -1.366 0 0 0.013 -1.366 -0.262 -0.845 1928 4 6.500 -1.301 0 0 6.500 -1.301 5.439 -1.566 1928 5 11.474 -2.555 0 0 11.474 -2.555 11.670 -1.564 1928 6 16.692 -2.399 0 0 16.692 -2.399 16.285 -2.010 1928 7 21.390 -0.392 0 0 21.390 -0.392 21.173 0.185 1928 8 21.334 0.709 1 0 NaN NaN 21.004 1.176 1928 9 14.953 -1.274 0 0 14.953 -1.274 13.651 -1.781 1928 10 11.265 1.071 0 0 11.265 1.071 10.072 0.675 1928 11 4.414 -0.050 0 0 4.414 -0.050 4.224 0.555 1928 12 0.158 2.701 0 0 0.158 2.701 -1.299 2.040 1929 1 -4.869 0.080 0 0 -4.869 0.080 -5.963 -0.218 1929 2 -4.377 -0.505 0 0 -4.377 -0.505 -4.853 -0.186 1929 3 2.785 1.407 0 0 2.785 1.407 2.314 1.731 1929 4 6.797 -1.005 0 0 6.797 -1.005 6.512 -0.494 1929 5 NaN NaN NaN NaN NaN NaN 13.270 0.037 1929 6 NaN NaN NaN NaN NaN NaN 18.205 -0.090 1929 7 NaN NaN NaN NaN NaN NaN 20.326 -0.661 1929 8 19.281 -1.344 0 0 19.281 -1.344 18.197 -1.632 1929 9 16.672 0.444 0 0 16.672 0.444 16.073 0.641 1929 10 9.965 -0.229 0 0 9.965 -0.229 8.310 -1.088 1929 11 4.155 -0.309 0 0 4.155 -0.309 3.828 0.159 1929 12 NaN NaN NaN NaN NaN NaN -4.236 -0.897 1930 1 -3.629 1.320 0 0 -3.629 1.320 -4.568 1.177 1930 2 -2.480 1.391 0 0 -2.480 1.391 -3.224 1.443 1930 3 1.563 0.184 0 0 1.563 0.184 0.557 -0.026 1930 4 7.033 -0.768 0 0 7.033 -0.768 6.224 -0.782 1930 5 14.357 0.328 0 0 14.357 0.328 13.881 0.648 1930 6 20.428 1.338 0 0 20.428 1.338 20.156 1.861 1930 7 NaN NaN NaN NaN NaN NaN 20.440 -0.547 1930 8 19.884 -0.740 1 0 NaN NaN 18.818 -1.010 1930 9 18.020 1.793 0 0 18.020 1.793 17.182 1.750 1930 10 9.619 -0.574 0 0 9.619 -0.574 8.458 -0.940 1930 11 NaN NaN NaN NaN NaN NaN 4.169 0.501 1930 12 -2.395 0.148 0 0 -2.395 0.148 -3.696 -0.357 1931 1 -5.389 -0.440 0 0 -5.389 -0.440 -5.732 0.012 1931 2 -3.989 -0.118 0 0 -3.989 -0.118 -4.811 -0.144 1931 3 1.411 0.033 0 0 1.411 0.033 1.411 0.828 1931 4 8.308 0.507 0 0 8.308 0.507 7.675 0.669 1931 5 14.158 0.129 0 0 14.158 0.129 13.562 0.329 1931 6 18.890 -0.201 0 0 18.890 -0.201 18.091 -0.204 1931 7 21.875 0.093 0 0 21.875 0.093 21.937 0.950 1931 8 20.490 -0.134 0 0 20.490 -0.134 19.712 -0.117 1931 9 17.828 1.601 0 0 17.828 1.601 17.022 1.591 1931 10 11.802 1.609 0 0 11.802 1.609 10.974 1.577 1931 11 6.967 2.502 1 0 NaN NaN 6.726 3.057 1931 12 -0.274 2.269 0 0 -0.274 2.269 -1.836 1.503 1932 1 0.697 5.646 0 0 0.697 5.646 -0.047 5.698 1932 2 -4.041 -0.170 0 0 -4.041 -0.170 -4.368 0.299 1932 3 -0.015 -1.393 0 0 -0.015 -1.393 -1.163 -1.746 1932 4 7.307 -0.495 0 0 7.307 -0.495 6.121 -0.885 1932 5 NaN NaN NaN NaN NaN NaN 13.498 0.265 1932 6 NaN NaN NaN NaN NaN NaN 17.487 -0.808 1932 7 NaN NaN NaN NaN NaN NaN 19.653 -1.334 1932 8 NaN NaN NaN NaN NaN NaN 20.161 0.333 1932 9 NaN NaN NaN NaN NaN NaN 15.560 0.129 1932 10 NaN NaN NaN NaN NaN NaN 10.400 1.003 1932 11 NaN NaN NaN NaN NaN NaN 2.692 -0.977 1932 12 NaN NaN NaN NaN NaN NaN -1.897 1.442 1933 1 NaN NaN NaN NaN NaN NaN -0.724 5.021 1933 2 NaN NaN NaN NaN NaN NaN -2.860 1.807 1933 3 NaN NaN NaN NaN NaN NaN -0.646 -1.229 1933 4 NaN NaN NaN NaN NaN NaN 6.388 -0.618