% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5605 % Primary Name: BERMUDA ESSO PIER % Record Type: TAVG % Country: Bermuda [United Kingdom] % Latitude: 32.36600 +/- 0.00050 % Longitude: -64.70000 +/- 0.00050 % Elevation (m): 2.00 +/- 0.05 % # of Months: 65 % % IDs: gsod - 998170-99999 % icao - BEPB6 % usaf - 998170 % % Sources: Global Summary of the Day % % Site Hash: feab98816b2c76eae1b5a929fa75095d % Raw Data Hash: 0c10861b0b220d4ed7e53ae00becb91f % Adj Data Hash: 37628420c52d7a32af6e4960cb41fc87 % % 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 12 NaN NaN NaN NaN NaN NaN 19.417 1.894 2007 1 NaN NaN NaN NaN NaN NaN 17.463 1.248 2007 2 NaN NaN NaN NaN NaN NaN 15.569 -0.101 2007 3 NaN NaN NaN NaN NaN NaN 17.156 0.772 2007 4 NaN NaN NaN NaN NaN NaN 17.762 0.176 2007 5 NaN NaN NaN NaN NaN NaN 19.451 -0.921 2007 6 NaN NaN NaN NaN NaN NaN 23.066 -0.427 2007 7 NaN NaN NaN NaN NaN NaN 26.105 0.005 2007 8 NaN NaN NaN NaN NaN NaN 27.204 0.367 2007 9 NaN NaN NaN NaN NaN NaN 26.030 0.468 2007 10 NaN NaN NaN NaN NaN NaN 24.184 1.276 2007 11 NaN NaN NaN NaN NaN NaN 20.954 0.836 2007 12 20.218 2.438 0 0 20.218 2.438 19.065 1.541 2008 1 18.081 1.609 0 0 18.081 1.609 17.372 1.157 2008 2 19.389 3.463 1 0 NaN NaN 17.348 1.679 2008 3 17.989 1.348 0 0 17.989 1.348 17.681 1.296 2008 4 19.634 1.791 0 0 19.634 1.791 18.772 1.186 2008 5 20.483 -0.146 0 0 20.483 -0.146 20.256 -0.117 2008 6 24.107 0.358 0 0 24.107 0.358 23.424 -0.070 2008 7 26.477 0.121 0 0 26.477 0.121 26.760 0.661 2008 8 26.998 -0.096 0 0 26.998 -0.096 27.276 0.439 2008 9 27.002 1.184 0 0 27.002 1.184 26.629 1.068 2008 10 23.461 0.296 0 0 23.461 0.296 23.206 0.298 2008 11 21.077 0.703 0 0 21.077 0.703 20.751 0.633 2008 12 20.458 2.678 1 0 NaN NaN 19.302 1.778 2009 1 18.687 2.216 1 0 NaN NaN 17.461 1.246 2009 2 16.844 0.918 0 0 16.844 0.918 16.222 0.553 2009 3 17.558 0.917 0 0 17.558 0.917 17.169 0.784 2009 4 19.270 1.428 0 0 19.270 1.428 18.783 1.197 2009 5 21.837 1.208 0 0 21.837 1.208 21.512 1.139 2009 6 24.516 0.767 0 0 24.516 0.767 24.277 0.784 2009 7 26.916 0.560 0 0 26.916 0.560 27.145 1.045 2009 8 27.916 0.822 0 0 27.916 0.822 28.083 1.246 2009 9 26.796 0.978 0 0 26.796 0.978 26.580 1.018 2009 10 24.726 1.561 0 0 24.726 1.561 24.116 1.208 2009 11 22.269 1.894 0 0 22.269 1.894 21.985 1.867 2009 12 19.971 2.191 1 0 NaN NaN 18.568 1.044 2010 1 NaN NaN NaN NaN NaN NaN 16.310 0.095 2010 2 NaN NaN NaN NaN NaN NaN 15.579 -0.091 2010 3 NaN NaN NaN NaN NaN NaN 17.384 1.000 2010 4 18.572 0.729 1 0 NaN NaN 18.499 0.913 2010 5 20.839 0.210 0 0 20.839 0.210 20.748 0.376 2010 6 24.491 0.741 0 0 24.491 0.741 24.291 0.798 2010 7 26.754 0.398 0 0 26.754 0.398 26.996 0.897 2010 8 27.685 0.591 0 0 27.685 0.591 27.848 1.011 2010 9 26.107 0.289 0 0 26.107 0.289 26.242 0.680 2010 10 24.412 1.247 0 0 24.412 1.247 24.168 1.259 2010 11 21.193 0.818 0 0 21.193 0.818 20.913 0.795 2010 12 17.616 -0.164 0 0 17.616 -0.164 17.182 -0.341 2011 1 17.197 0.725 1 0 NaN NaN 16.746 0.531 2011 2 NaN NaN NaN NaN NaN NaN 16.789 1.120 2011 3 NaN NaN NaN NaN NaN NaN 17.248 0.863 2011 4 NaN NaN NaN NaN NaN NaN 19.073 1.487 2011 5 NaN NaN NaN NaN NaN NaN 21.046 0.674 2011 6 24.663 0.913 1 0 NaN NaN 24.074 0.580 2011 7 26.710 0.354 0 0 26.710 0.354 26.889 0.789 2011 8 27.473 0.379 0 0 27.473 0.379 27.606 0.769 2011 9 27.059 1.241 0 0 27.059 1.241 27.026 1.464 2011 10 24.805 1.640 0 0 24.805 1.640 24.373 1.465 2011 11 22.361 1.987 0 0 22.361 1.987 22.030 1.912 2011 12 20.168 2.388 0 0 20.168 2.388 19.546 2.022 2012 1 18.799 2.327 0 0 18.799 2.327 18.079 1.864 2012 2 18.282 2.356 0 0 18.282 2.356 17.482 1.813 2012 3 18.615 1.974 0 0 18.615 1.974 18.307 1.923 2012 4 19.265 1.422 0 0 19.265 1.422 18.894 1.308 2012 5 21.185 0.556 0 0 21.185 0.556 21.093 0.720 2012 6 23.435 -0.315 0 0 23.435 -0.315 23.307 -0.186 2012 7 26.645 0.289 0 0 26.645 0.289 26.922 0.822 2012 8 27.823 0.729 0 0 27.823 0.729 28.121 1.284 2012 9 26.348 0.530 0 0 26.348 0.530 26.581 1.020 2012 10 25.237 2.072 0 0 25.237 2.072 24.857 1.949 2012 11 21.980 1.605 0 0 21.980 1.605 21.633 1.515 2012 12 20.032 2.252 0 0 20.032 2.252 19.340 1.816 2013 1 18.113 1.641 0 0 18.113 1.641 17.410 1.195 2013 2 17.560 1.634 0 0 17.560 1.634 16.789 1.120 2013 3 17.066 0.425 0 0 17.066 0.425 16.775 0.390 2013 4 19.000 1.157 0 0 19.000 1.157 18.383 0.797 2013 5 20.593 -0.036 0 0 20.593 -0.036 20.374 0.002 2013 6 24.711 0.961 0 0 24.711 0.961 24.413 0.919 2013 7 27.314 0.957 0 0 27.314 0.957 27.419 1.320 2013 8 27.158 0.064 0 0 27.158 0.064 27.422 0.585 2013 9 25.902 0.084 0 0 25.902 0.084 26.040 0.479 2013 10 24.595 1.430 0 0 24.595 1.430 24.319 1.411 2013 11 23.496 3.122 1 0 NaN NaN NaN NaN