% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38809 % Primary Name: GREAT BAY RESERVE % Record Type: TAVG % Country: United States % State: NH % Latitude: 43.05000 +/- 0.00050 % Longitude: -70.83300 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 74 % % IDs: gsod - 997993-99999 % icao - BGXN3 % usaf - 997993 % % Sources: Global Summary of the Day % % Site Hash: 8f26c52f96acea90e492893dd9aa7ebc % Raw Data Hash: 6c93322a8fb0d3b5515c486596a24cd2 % Adj Data Hash: 3a87093778245aa0f7a4b0ba14d26559 % % 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 2006 10 NaN NaN NaN NaN NaN NaN 11.873 0.173 2006 11 NaN NaN NaN NaN NaN NaN 10.575 3.227 2006 12 NaN NaN NaN NaN NaN NaN 5.604 3.876 2007 1 NaN NaN NaN NaN NaN NaN 1.739 2.284 2007 2 NaN NaN NaN NaN NaN NaN -2.685 -1.897 2007 3 NaN NaN NaN NaN NaN NaN 2.427 0.209 2007 4 NaN NaN NaN NaN NaN NaN 5.645 -0.611 2007 5 NaN NaN NaN NaN NaN NaN 11.994 1.016 2007 6 NaN NaN NaN NaN NaN NaN 15.913 0.200 2007 7 NaN NaN NaN NaN NaN NaN 19.373 0.109 2007 8 NaN NaN NaN NaN NaN NaN 19.921 0.507 2007 9 NaN NaN NaN NaN NaN NaN 17.395 1.056 2007 10 12.364 1.758 1 0 NaN NaN 13.985 2.286 2007 11 3.681 -2.574 0 0 3.681 -2.574 7.247 -0.101 2007 12 -2.848 -3.482 0 0 -2.848 -3.482 0.963 -0.764 2008 1 -2.061 -0.423 0 0 -2.061 -0.423 1.532 2.077 2008 2 -2.021 -0.140 0 0 -2.021 -0.140 0.529 1.317 2008 3 0.794 -0.331 0 0 0.794 -0.331 2.343 0.125 2008 4 7.652 2.489 1 0 NaN NaN 7.470 1.214 2008 5 13.508 3.624 1 0 NaN NaN 10.882 -0.095 2008 6 18.780 4.159 0 0 18.780 4.159 16.956 1.242 2008 7 21.772 3.601 0 0 21.772 3.601 20.727 1.463 2008 8 19.332 1.011 0 0 19.332 1.011 19.100 -0.313 2008 9 16.017 0.771 0 0 16.017 0.771 16.899 0.560 2008 10 9.289 -1.318 0 0 9.289 -1.318 11.334 -0.365 2008 11 4.356 -1.899 0 0 4.356 -1.899 7.717 0.369 2008 12 -0.557 -1.192 0 0 -0.557 -1.192 2.873 1.145 2009 1 -7.100 -5.462 0 0 -7.100 -5.462 -2.613 -2.068 2009 2 -2.621 -0.740 0 0 -2.621 -0.740 0.274 1.062 2009 3 0.955 -0.169 0 0 0.955 -0.169 2.457 0.239 2009 4 8.094 2.931 0 0 8.094 2.931 8.097 1.841 2009 5 13.720 3.836 0 0 13.720 3.836 11.944 0.967 2009 6 16.041 1.421 0 0 16.041 1.421 14.527 -1.186 2009 7 19.294 1.123 0 0 19.294 1.123 18.341 -0.923 2009 8 21.384 3.063 0 0 21.384 3.063 20.933 1.519 2009 9 14.863 -0.383 0 0 14.863 -0.383 16.040 -0.299 2009 10 8.683 -1.923 0 0 8.683 -1.923 10.697 -1.003 2009 11 6.417 0.162 0 0 6.417 0.162 10.441 3.094 2009 12 -1.196 -1.830 0 0 -1.196 -1.830 1.848 0.121 2010 1 -2.616 -0.978 1 0 NaN NaN 0.490 1.035 2010 2 -0.919 0.963 0 0 -0.919 0.963 1.177 1.965 2010 3 4.577 3.452 0 0 4.577 3.452 5.834 3.616 2010 4 9.846 4.683 0 0 9.846 4.683 9.235 2.979 2010 5 15.536 5.652 0 0 15.536 5.652 13.435 2.458 2010 6 19.259 4.639 0 0 19.259 4.639 17.250 1.537 2010 7 22.661 4.490 0 0 22.661 4.490 21.636 2.372 2010 8 20.425 2.104 0 0 20.425 2.104 20.442 1.029 2010 9 17.820 2.575 0 0 17.820 2.575 18.319 1.980 2010 10 10.151 -0.456 0 0 10.151 -0.456 12.344 0.645 2010 11 4.814 -1.440 0 0 4.814 -1.440 8.320 0.973 2010 12 -1.394 -2.029 0 0 -1.394 -2.029 1.648 -0.080 2011 1 -5.428 -3.790 0 0 -5.428 -3.790 -0.944 -0.399 2011 2 -4.091 -2.210 0 0 -4.091 -2.210 -0.735 0.053 2011 3 1.487 0.363 0 0 1.487 0.363 2.928 0.710 2011 4 8.176 3.013 0 0 8.176 3.013 7.748 1.492 2011 5 13.244 3.359 0 0 13.244 3.359 11.899 0.922 2011 6 17.452 2.832 0 0 17.452 2.832 15.860 0.147 2011 7 22.548 4.377 0 0 22.548 4.377 20.883 1.618 2011 8 20.496 2.176 0 0 20.496 2.176 20.296 0.882 2011 9 17.437 2.191 0 0 17.437 2.191 18.085 1.746 2011 10 11.115 0.509 0 0 11.115 0.509 13.131 1.432 2011 11 7.180 0.925 0 0 7.180 0.925 10.474 3.127 2011 12 1.993 1.359 0 0 1.993 1.359 4.981 3.254 2012 1 -1.353 0.285 0 0 -1.353 0.285 2.386 2.931 2012 2 0.238 2.119 0 0 0.238 2.119 2.568 3.357 2012 3 6.029 4.904 0 0 6.029 4.904 6.473 4.255 2012 4 9.498 4.335 0 0 9.498 4.335 8.797 2.541 2012 5 14.312 4.428 0 0 14.312 4.428 13.064 2.087 2012 6 17.659 3.039 0 0 17.659 3.039 15.944 0.230 2012 7 21.934 3.762 0 0 21.934 3.762 21.078 1.813 2012 8 21.525 3.205 0 0 21.525 3.205 21.519 2.106 2012 9 16.057 0.812 0 0 16.057 0.812 17.126 0.787 2012 10 11.701 1.095 0 0 11.701 1.095 13.409 1.710 2012 11 3.524 -2.730 0 0 3.524 -2.730 7.486 0.138 2012 12 0.880 0.245 0 0 0.880 0.245 4.368 2.640 2013 1 -2.633 -0.995 0 0 -2.633 -0.995 0.900 1.445 2013 2 -2.292 -0.410 0 0 -2.292 -0.410 0.339 1.127 2013 3 1.880 0.755 0 0 1.880 0.755 3.203 0.985 2013 4 7.752 2.589 1 0 NaN NaN 7.147 0.891 2013 5 12.764 2.880 0 0 12.764 2.880 11.878 0.901 2013 6 19.143 4.522 0 0 19.143 4.522 16.994 1.281 2013 7 22.846 4.675 0 0 22.846 4.675 21.611 2.346 2013 8 19.944 1.624 0 0 19.944 1.624 19.705 0.292 2013 9 15.711 0.465 0 0 15.711 0.465 16.549 0.210 2013 10 10.301 -0.305 0 0 10.301 -0.305 12.599 0.900 2013 11 7.922 1.667 1 0 NaN NaN NaN NaN