% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36982 % Primary Name: WOODS HOLE % Record Type: TAVG % Country: United States % State: MA % Latitude: 41.51700 +/- 0.00050 % Longitude: -70.66700 +/- 0.00050 % Elevation (m): 10.00 +/- 0.05 % # of Months: 49 % % IDs: gsod - 997274-99999 % icao - BZBM3 % usaf - 997274 % % Sources: Global Summary of the Day % % Site Hash: 44c40b0303175a3edd655405045b219e % Raw Data Hash: 4850a6fd439fa537822bb5b777a9e199 % Adj Data Hash: 11a90510a2b5220812f686f17da8ce08 % % 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 2008 10 NaN NaN NaN NaN NaN NaN 12.734 -0.415 2008 11 NaN NaN NaN NaN NaN NaN 8.913 0.114 2008 12 NaN NaN NaN NaN NaN NaN 5.213 1.721 2009 1 NaN NaN NaN NaN NaN NaN -0.490 -1.595 2009 2 NaN NaN NaN NaN NaN NaN 2.114 1.310 2009 3 NaN NaN NaN NaN NaN NaN 3.720 0.346 2009 4 NaN NaN NaN NaN NaN NaN 8.541 1.540 2009 5 NaN NaN NaN NaN NaN NaN 12.265 0.777 2009 6 NaN NaN NaN NaN NaN NaN 15.173 -1.077 2009 7 NaN NaN NaN NaN NaN NaN 19.595 -0.308 2009 8 NaN NaN NaN NaN NaN NaN 21.603 1.319 2009 9 NaN NaN NaN NaN NaN NaN 17.341 -0.318 2009 10 11.567 -1.513 1 0 NaN NaN 12.541 -0.608 2009 11 10.389 1.660 0 0 10.389 1.660 11.924 3.126 2009 12 2.437 -0.986 0 0 2.437 -0.986 3.417 -0.075 2010 1 -0.392 -1.428 0 0 -0.392 -1.428 1.405 0.300 2010 2 0.496 -0.239 0 0 0.496 -0.239 1.738 0.934 2010 3 5.853 2.549 1 0 NaN NaN 6.623 3.250 2010 4 NaN NaN NaN NaN NaN NaN 9.668 2.667 2010 5 14.074 2.655 0 0 14.074 2.655 13.350 1.862 2010 6 18.950 2.769 0 0 18.950 2.769 17.912 1.662 2010 7 23.366 3.531 0 0 23.366 3.531 22.174 2.270 2010 8 21.781 1.566 0 0 21.781 1.566 21.340 1.056 2010 9 19.383 1.794 0 0 19.383 1.794 19.308 1.649 2010 10 14.228 1.148 0 0 14.228 1.148 14.047 0.897 2010 11 8.285 -0.444 0 0 8.285 -0.444 9.579 0.781 2010 12 1.392 -2.030 0 0 1.392 -2.030 2.514 -0.978 2011 1 -0.625 -1.661 0 0 -0.625 -1.661 0.595 -0.510 2011 2 0.262 -0.473 0 0 0.262 -0.473 1.392 0.587 2011 3 3.495 0.190 0 0 3.495 0.190 4.236 0.862 2011 4 8.511 1.579 0 0 8.511 1.579 8.542 1.541 2011 5 13.344 1.925 0 0 13.344 1.925 12.464 0.975 2011 6 17.991 1.810 0 0 17.991 1.810 16.700 0.450 2011 7 22.082 2.248 0 0 22.082 2.248 21.202 1.298 2011 8 22.185 1.970 0 0 22.185 1.970 21.183 0.899 2011 9 19.125 1.535 0 0 19.125 1.535 19.485 1.826 2011 10 14.919 1.839 0 0 14.919 1.839 14.647 1.498 2011 11 10.944 2.215 0 0 10.944 2.215 11.699 2.900 2011 12 6.704 3.281 0 0 6.704 3.281 6.799 3.307 2012 1 3.041 2.005 0 0 3.041 2.005 4.275 3.170 2012 2 3.628 2.893 0 0 3.628 2.893 4.206 3.402 2012 3 6.324 3.020 0 0 6.324 3.020 7.328 3.955 2012 4 9.843 2.911 0 0 9.843 2.911 9.509 2.508 2012 5 14.493 3.074 0 0 14.493 3.074 13.674 2.186 2012 6 18.070 1.889 0 0 18.070 1.889 16.622 0.372 2012 7 22.477 2.642 0 0 22.477 2.642 21.547 1.643 2012 8 23.002 2.787 0 0 23.002 2.787 22.083 1.799 2012 9 19.159 1.570 0 0 19.159 1.570 18.747 1.088 2012 10 14.962 1.882 0 0 14.962 1.882 14.894 1.745 2012 11 7.444 -1.285 0 0 7.444 -1.285 8.678 -0.120 2012 12 5.557 2.134 0 0 5.557 2.134 6.370 2.878 2013 1 1.332 0.296 0 0 1.332 0.296 2.547 1.442 2013 2 0.381 -0.354 0 0 0.381 -0.354 1.506 0.701 2013 3 3.473 0.169 0 0 3.473 0.169 3.973 0.599 2013 4 7.983 1.052 0 0 7.983 1.052 7.707 0.706 2013 5 13.116 1.697 0 0 13.116 1.697 12.403 0.914 2013 6 18.354 2.173 0 0 18.354 2.173 17.386 1.136 2013 7 22.866 3.031 0 0 22.866 3.031 22.474 2.570 2013 8 21.179 0.964 0 0 21.179 0.964 20.243 -0.041 2013 9 18.037 0.448 0 0 18.037 0.448 17.578 -0.080 2013 10 14.437 1.357 0 0 14.437 1.357 14.267 1.117 2013 11 10.774 2.045 1 0 NaN NaN NaN NaN