% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38115 % Primary Name: NEW SALEM % Record Type: TAVG % Country: United States % State: MA % Latitude: 42.45000 +/- 0.00005 % Longitude: -72.33330 +/- 0.00005 % Elevation (m): 257.60 +/- 0.05 % # of Months: 36 % % IDs: coop - 195306 % ghcnd - USC00195306 % ncdc - 20009334 % nws - NSLM3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d17d7ca72229c8217c0247f4f02ef42d % Raw Data Hash: 077a5996908e1a6f7c83f59090af1dd5 % Adj Data Hash: b06925cdb2a869019d19b23d646b3a06 % % 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 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 1897 3 0.256 -0.435 1 0 NaN NaN 0.130 -0.453 1897 4 7.315 0.201 0 0 7.315 0.201 7.613 0.607 1897 5 12.796 -0.546 0 0 12.796 -0.546 13.108 -0.125 1897 6 15.843 -2.560 0 0 15.843 -2.560 15.677 -2.618 1897 7 20.878 -0.217 0 0 20.878 -0.217 21.349 0.361 1897 8 18.685 -1.251 0 0 18.685 -1.251 18.654 -1.174 1897 9 15.185 -0.355 0 0 15.185 -0.355 14.723 -0.709 1897 10 10.681 1.175 0 0 10.681 1.175 9.400 0.003 1897 11 1.852 -1.925 0 0 1.852 -1.925 2.740 -0.929 1897 12 -2.545 0.686 0 0 -2.545 0.686 -3.181 0.158 1898 1 -5.520 0.117 0 0 -5.520 0.117 -5.954 -0.209 1898 2 -2.917 1.642 0 0 -2.917 1.642 -3.730 0.938 1898 3 3.889 3.198 0 0 3.889 3.198 3.536 2.953 1898 4 4.833 -2.281 0 0 4.833 -2.281 5.077 -1.929 1898 5 12.043 -1.298 0 0 12.043 -1.298 12.355 -0.878 1898 6 17.944 -0.459 0 0 17.944 -0.459 18.117 -0.178 1898 7 21.075 -0.020 0 0 21.075 -0.020 21.206 0.219 1898 8 20.520 0.583 0 0 20.520 0.583 20.635 0.806 1898 9 17.185 1.645 0 0 17.185 1.645 16.604 1.172 1898 10 10.161 0.656 0 0 10.161 0.656 9.869 0.472 1898 11 2.667 -1.110 0 0 2.667 -1.110 3.070 -0.599 1898 12 -3.763 -0.533 0 0 -3.763 -0.533 -4.677 -1.338 1899 1 -5.842 -0.206 0 0 -5.842 -0.206 -5.751 -0.007 1899 2 -6.270 -1.711 0 0 -6.270 -1.711 -6.593 -1.926 1899 3 -2.037 -2.728 0 0 -2.037 -2.728 -1.578 -2.161 1899 4 6.981 -0.132 0 0 6.981 -0.132 6.851 -0.155 1899 5 13.244 -0.098 0 0 13.244 -0.098 13.168 -0.065 1899 6 19.056 0.652 0 0 19.056 0.652 19.131 0.836 1899 7 20.197 -0.898 0 0 20.197 -0.898 20.736 -0.251 1899 8 19.839 -0.098 0 0 19.839 -0.098 19.299 -0.530 1899 9 14.352 -1.188 0 0 14.352 -1.188 14.284 -1.148 1899 10 10.502 0.996 0 0 10.502 0.996 9.965 0.567 1899 11 2.586 -1.191 0 0 2.586 -1.191 2.900 -0.769 1899 12 -1.738 1.493 0 0 -1.738 1.493 -2.215 1.124 1900 1 -4.498 1.138 0 0 -4.498 1.138 -4.985 0.759 1900 2 -5.337 -0.778 0 0 -5.337 -0.778 -5.345 -0.678 1900 3 NaN NaN NaN NaN NaN NaN -2.294 -2.877 1900 4 NaN NaN NaN NaN NaN NaN 6.758 -0.248 1900 5 NaN NaN NaN NaN NaN NaN 11.720 -1.513 1900 6 NaN NaN NaN NaN NaN NaN 18.666 0.371 1900 7 NaN NaN NaN NaN NaN NaN 21.451 0.464 1900 8 NaN NaN NaN NaN NaN NaN 20.395 0.566 1900 9 NaN NaN NaN NaN NaN NaN 16.656 1.224 1900 10 NaN NaN NaN NaN NaN NaN 11.645 2.248 1900 11 NaN NaN NaN NaN NaN NaN 4.591 0.922 1900 12 NaN NaN NaN NaN NaN NaN -4.110 -0.771 1901 1 NaN NaN NaN NaN NaN NaN -6.000 -0.255 1901 2 NaN NaN NaN NaN NaN NaN -8.325 -3.658