% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38184 % Primary Name: HADLEY % Record Type: TAVG % Country: United States % State: MA % Latitude: 42.50000 +/- 0.00005 % Longitude: -72.58330 +/- 0.00005 % Elevation (m): 41.15 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 193295 % % IDs: coop - 193295 % ghcnd - USC00193295 % ncdc - 12002420 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 958c514a5654957c407516d7ec176f82 % Raw Data Hash: 76b4f4bf954ea1f86d56f37f40aea5c2 % Adj Data Hash: ea7ad9adf22faedfeb9655ad7046dd09 % % 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 9 NaN NaN NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN -5.351 -2.012 1893 1 NaN NaN NaN NaN NaN NaN -10.011 -4.266 1893 2 NaN NaN NaN NaN NaN NaN -6.301 -1.634 1893 3 NaN NaN NaN NaN NaN NaN -1.588 -2.171 1893 4 NaN NaN NaN NaN NaN NaN 4.902 -2.104 1893 5 NaN NaN NaN NaN NaN NaN 12.433 -0.800 1893 6 NaN NaN NaN NaN NaN NaN 18.205 -0.090 1893 7 NaN NaN NaN NaN NaN NaN 19.858 -1.129 1893 8 NaN NaN NaN NaN NaN NaN 19.427 -0.401 1893 9 13.407 -2.545 0 0 13.407 -2.545 12.676 -2.756 1893 10 10.627 0.709 1 0 NaN NaN 10.091 0.693 1893 11 1.926 -2.263 0 0 1.926 -2.263 2.884 -0.785 1893 12 -5.074 -2.256 0 0 -5.074 -2.256 -5.172 -1.833 1894 1 NaN NaN NaN NaN NaN NaN -4.561 1.183 1894 2 NaN NaN NaN NaN NaN NaN -6.819 -2.152 1894 3 NaN NaN NaN NaN NaN NaN 3.336 2.753 1894 4 NaN NaN NaN NaN NaN NaN 7.065 0.059 1894 5 NaN NaN NaN NaN NaN NaN 13.058 -0.175 1894 6 NaN NaN NaN NaN NaN NaN 18.770 0.475 1894 7 22.253 0.746 0 0 22.253 0.746 21.586 0.598 1894 8 20.143 -0.206 0 0 20.143 -0.206 18.331 -1.498 1894 9 17.759 1.807 0 0 17.759 1.807 16.350 0.918 1894 10 10.000 0.082 0 0 10.000 0.082 9.441 0.044 1894 11 0.556 -3.634 0 0 0.556 -3.634 0.934 -2.735 1894 12 -3.907 -1.088 0 0 -3.907 -1.088 -4.306 -0.967 1895 1 -6.738 -1.514 0 0 -6.738 -1.514 -6.375 -0.630 1895 2 -7.560 -3.413 0 0 -7.560 -3.413 -8.280 -3.613 1895 3 -0.913 -2.016 0 0 -0.913 -2.016 -1.321 -1.904 1895 4 6.833 -0.693 0 0 6.833 -0.693 6.433 -0.573 1895 5 15.054 1.300 0 0 15.054 1.300 14.301 1.068 1895 6 20.333 1.518 0 0 20.333 1.518 19.251 0.956 1895 7 19.275 -2.232 0 0 19.275 -2.232 18.958 -2.029 1895 8 20.287 -0.062 0 0 20.287 -0.062 19.355 -0.474 1895 9 17.241 1.289 0 0 17.241 1.289 16.159 0.727 1895 10 7.079 -2.839 0 0 7.079 -2.839 6.306 -3.091 1895 11 4.056 -0.134 0 0 4.056 -0.134 4.671 1.002 1895 12 -1.326 1.492 0 0 -1.326 1.492 -2.308 1.031 1896 1 -7.306 -2.082 0 0 -7.306 -2.082 -7.277 -1.532 1896 2 -3.790 0.357 0 0 -3.790 0.357 -5.186 -0.518 1896 3 -1.971 -3.075 0 0 -1.971 -3.075 -2.575 -3.158 1896 4 8.500 0.974 0 0 8.500 0.974 7.809 0.804 1896 5 16.111 2.358 0 0 16.111 2.358 14.842 1.608 1896 6 17.593 -1.223 0 0 17.593 -1.223 17.077 -1.218 1896 7 21.846 0.338 0 0 21.846 0.338 21.062 0.075 1896 8 20.269 -0.080 0 0 20.269 -0.080 19.819 -0.010 1896 9 15.148 -0.804 0 0 15.148 -0.804 14.424 -1.008 1896 10 7.706 -2.212 0 0 7.706 -2.212 7.297 -2.100 1896 11 5.383 1.194 0 0 5.383 1.194 5.613 1.945 1896 12 NaN NaN NaN NaN NaN NaN -5.367 -2.028 1897 1 -4.032 1.192 0 0 -4.032 1.192 -5.268 0.477 1897 2 -3.591 0.555 0 0 -3.591 0.555 -4.511 0.156 1897 3 0.054 -1.050 0 0 0.054 -1.050 0.130 -0.453 1897 4 7.778 0.252 0 0 7.778 0.252 7.613 0.607 1897 5 13.853 0.099 0 0 13.853 0.099 13.108 -0.125 1897 6 16.389 -2.426 0 0 16.389 -2.426 15.677 -2.618 1897 7 22.258 0.750 0 0 22.258 0.750 21.349 0.361 1897 8 19.140 -1.209 0 0 19.140 -1.209 18.654 -1.174 1897 9 15.796 -0.156 0 0 15.796 -0.156 14.723 -0.709 1897 10 9.642 -0.276 0 0 9.642 -0.276 9.400 0.003 1897 11 2.130 -2.060 0 0 2.130 -2.060 2.740 -0.929 1897 12 -2.688 0.130 0 0 -2.688 0.130 -3.181 0.158 1898 1 -5.741 -0.516 0 0 -5.741 -0.516 -5.954 -0.209 1898 2 -3.690 0.456 0 0 -3.690 0.456 -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 1898 9 NaN NaN NaN NaN NaN NaN 16.604 1.172 1898 10 NaN NaN NaN NaN NaN NaN 9.869 0.472 1898 11 NaN NaN NaN NaN NaN NaN 3.070 -0.599 1898 12 NaN NaN NaN NaN NaN NaN -4.677 -1.338 1899 1 NaN NaN NaN NaN NaN NaN -5.751 -0.007 1899 2 NaN NaN NaN NaN NaN NaN -6.593 -1.926 1899 3 NaN NaN NaN NaN NaN NaN -1.578 -2.161 1899 4 NaN NaN NaN NaN NaN NaN 6.851 -0.155 1899 5 NaN NaN NaN NaN NaN NaN 13.168 -0.065 1899 6 NaN NaN NaN NaN NaN NaN 19.131 0.836 1899 7 NaN NaN NaN NaN NaN NaN 20.736 -0.251 1899 8 NaN NaN NaN NaN NaN NaN 19.299 -0.530 1899 9 NaN NaN NaN NaN NaN NaN 14.284 -1.148 1899 10 10.627 0.709 1 0 NaN NaN 9.965 0.567 1899 11 NaN NaN NaN NaN NaN NaN 2.900 -0.769 1899 12 NaN NaN NaN NaN NaN NaN -2.215 1.124 1900 1 NaN NaN NaN NaN NaN NaN -4.985 0.759 1900 2 NaN NaN NaN NaN NaN NaN -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