% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33868 % Primary Name: BRANDYWINE SHOAL LG % Record Type: TAVG % Country: United States % State: DE % Latitude: 38.98300 +/- 0.00050 % Longitude: -75.10000 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 76 % % IDs: gsod - 997689-99999 % icao - BRND1 % usaf - 997689 % % Sources: Global Summary of the Day % % Site Hash: 589da94b1b82f71a092af8062fcc0d4c % Raw Data Hash: 06d9cbf0b9b20617a48cf07f223ea7a8 % Adj Data Hash: ba8baaeeb6ffc0769a16e30f0cac220d % % 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 2005 7 NaN NaN NaN NaN NaN NaN 25.014 1.109 2005 8 NaN NaN NaN NaN NaN NaN 25.342 1.947 2005 9 NaN NaN NaN NaN NaN NaN 22.365 2.497 2005 10 NaN NaN NaN NaN NaN NaN 14.371 0.802 2005 11 NaN NaN NaN NaN NaN NaN 10.158 2.035 2005 12 NaN NaN NaN NaN NaN NaN 1.403 -1.109 2006 1 NaN NaN NaN NaN NaN NaN 4.682 4.409 2006 2 NaN NaN NaN NaN NaN NaN 1.924 0.762 2006 3 NaN NaN NaN NaN NaN NaN 6.460 0.917 2006 4 NaN NaN NaN NaN NaN NaN 12.883 1.928 2006 5 NaN NaN NaN NaN NaN NaN 16.507 0.208 2006 6 NaN NaN NaN NaN NaN NaN 21.373 0.230 2006 7 25.530 1.319 1 0 NaN NaN 25.240 1.336 2006 8 24.608 0.905 0 0 24.608 0.905 24.753 1.358 2006 9 20.443 0.267 0 0 20.443 0.267 19.314 -0.553 2006 10 15.387 1.511 0 0 15.387 1.511 13.049 -0.520 2006 11 11.457 3.027 0 0 11.457 3.027 10.955 2.832 2006 12 8.209 5.390 0 0 8.209 5.390 6.209 3.698 2007 1 5.398 4.817 0 0 5.398 4.817 3.835 3.561 2007 2 -0.421 -1.890 0 0 -0.421 -1.890 -1.946 -3.108 2007 3 5.281 -0.569 0 0 5.281 -0.569 6.414 0.871 2007 4 9.200 -2.063 0 0 9.200 -2.063 10.146 -0.809 2007 5 15.756 -0.849 0 0 15.756 -0.849 17.094 0.795 2007 6 20.907 -0.542 0 0 20.907 -0.542 21.692 0.550 2007 7 22.860 -1.351 0 0 22.860 -1.351 23.834 -0.070 2007 8 24.287 0.584 0 0 24.287 0.584 24.207 0.812 2007 9 22.093 1.917 0 0 22.093 1.917 21.138 1.270 2007 10 18.964 5.088 0 0 18.964 5.088 17.345 3.776 2007 11 10.152 1.721 0 0 10.152 1.721 8.278 0.155 2007 12 5.215 2.396 0 0 5.215 2.396 3.304 0.792 2008 1 3.423 2.842 0 0 3.423 2.842 2.043 1.769 2008 2 3.676 2.207 0 0 3.676 2.207 2.713 1.551 2008 3 6.837 0.986 1 0 NaN NaN 6.966 1.423 2008 4 11.254 -0.009 0 0 11.254 -0.009 12.422 1.466 2008 5 15.396 -1.209 0 0 15.396 -1.209 15.269 -1.029 2008 6 21.269 -0.181 0 0 21.269 -0.181 23.139 1.996 2008 7 22.995 -1.217 0 0 22.995 -1.217 24.716 0.811 2008 8 22.713 -0.989 0 0 22.713 -0.989 22.855 -0.540 2008 9 21.480 1.304 0 0 21.480 1.304 20.830 0.962 2008 10 15.185 1.308 0 0 15.185 1.308 12.947 -0.622 2008 11 8.978 0.547 0 0 8.978 0.547 7.953 -0.170 2008 12 5.183 2.364 0 0 5.183 2.364 3.876 1.365 2009 1 0.511 -0.070 0 0 0.511 -0.070 -1.411 -1.685 2009 2 2.877 1.407 0 0 2.877 1.407 2.417 1.254 2009 3 4.959 -0.892 0 0 4.959 -0.892 5.721 0.178 2009 4 10.837 -0.426 0 0 10.837 -0.426 12.256 1.301 2009 5 15.724 -0.881 0 0 15.724 -0.881 16.572 0.274 2009 6 20.194 -1.255 0 0 20.194 -1.255 20.327 -0.816 2009 7 22.911 -1.300 1 0 NaN NaN 23.026 -0.878 2009 8 25.335 1.633 1 0 NaN NaN 24.694 1.299 2009 9 20.489 0.314 0 0 20.489 0.314 19.445 -0.423 2009 10 15.235 1.358 0 0 15.235 1.358 13.079 -0.490 2009 11 11.737 3.307 0 0 11.737 3.307 10.827 2.703 2009 12 4.672 1.853 0 0 4.672 1.853 2.503 -0.008 2010 1 0.896 0.315 0 0 0.896 0.315 0.136 -0.137 2010 2 0.845 -0.624 0 0 0.845 -0.624 -0.395 -1.557 2010 3 7.097 1.246 0 0 7.097 1.246 8.468 2.925 2010 4 12.361 1.098 0 0 12.361 1.098 13.653 2.698 2010 5 16.188 -0.417 0 0 16.188 -0.417 17.793 1.495 2010 6 22.420 0.970 0 0 22.420 0.970 23.876 2.733 2010 7 24.550 0.339 0 0 24.550 0.339 25.986 2.082 2010 8 23.830 0.128 0 0 23.830 0.128 24.562 1.167 2010 9 22.245 2.070 0 0 22.245 2.070 21.830 1.962 2010 10 16.133 2.256 0 0 16.133 2.256 14.294 0.725 2010 11 10.124 1.694 0 0 10.124 1.694 8.896 0.772 2010 12 1.538 -1.281 0 0 1.538 -1.281 -0.198 -2.710 2011 1 0.025 -0.556 0 0 0.025 -0.556 -1.500 -1.774 2011 2 2.790 1.320 0 0 2.790 1.320 2.436 1.273 2011 3 6.029 0.178 0 0 6.029 0.178 6.317 0.774 2011 4 11.731 0.469 0 0 11.731 0.469 13.138 2.183 2011 5 17.068 0.463 0 0 17.068 0.463 17.931 1.633 2011 6 22.367 0.917 0 0 22.367 0.917 22.938 1.795 2011 7 24.668 0.457 0 0 24.668 0.457 26.110 2.206 2011 8 23.823 0.120 0 0 23.823 0.120 23.811 0.416 2011 9 21.417 1.241 0 0 21.417 1.241 21.314 1.446 2011 10 15.751 1.875 0 0 15.751 1.875 13.941 0.372 2011 11 11.700 3.270 0 0 11.700 3.270 10.933 2.810 2011 12 8.133 5.314 0 0 8.133 5.314 5.976 3.464 2012 1 4.604 4.023 0 0 4.604 4.023 3.239 2.965 2012 2 6.415 4.946 1 0 NaN NaN 4.337 3.175 2012 3 9.354 3.503 0 0 9.354 3.503 10.486 4.943 2012 4 12.137 0.874 0 0 12.137 0.874 12.449 1.494 2012 5 17.396 0.791 0 0 17.396 0.791 18.439 2.141 2012 6 21.619 0.169 0 0 21.619 0.169 21.550 0.407 2012 7 25.405 1.193 0 0 25.405 1.193 26.029 2.124 2012 8 24.681 0.979 0 0 24.681 0.979 24.449 1.054 2012 9 21.770 1.595 0 0 21.770 1.595 20.540 0.672 2012 10 16.724 2.848 0 0 16.724 2.848 14.635 1.066 2012 11 NaN NaN NaN NaN NaN NaN 6.749 -1.374 2012 12 NaN NaN NaN NaN NaN NaN 5.947 3.436 2013 1 NaN NaN NaN NaN NaN NaN 2.086 1.812 2013 2 NaN NaN NaN NaN NaN NaN 1.276 0.113 2013 3 NaN NaN NaN NaN NaN NaN 4.501 -1.042 2013 4 NaN NaN NaN NaN NaN NaN 11.666 0.710 2013 5 NaN NaN NaN NaN NaN NaN 16.342 0.044 2013 6 NaN NaN NaN NaN NaN NaN 21.834 0.692 2013 7 NaN NaN NaN NaN NaN NaN 25.366 1.462 2013 8 NaN NaN NaN NaN NaN NaN 22.525 -0.870 2013 9 NaN NaN NaN NaN NaN NaN 19.117 -0.751 2013 10 NaN NaN NaN NaN NaN NaN 14.751 1.182