% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36324 % Primary Name: PORT JEFFERSON % Record Type: TAVG % Country: United States % State: NY % Latitude: 40.95000 +/- 0.00005 % Longitude: -73.06670 +/- 0.00005 % Elevation (m): 9.47 +/- 6.58 % # of Months: 54 % % IDs: coop - 306768 % ghcnd - USC00306768 % gsod - 994960-99999 % icao - PTJN6 % ncdc - 20019483 % usaf - 994960 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: 81b318a6ec1125bbf26b2ffa137dedb2 % Raw Data Hash: bcc0c1c19509f4b1762abcc9af972dbc % Adj Data Hash: a92d097fe561519d9c9a947749c35408 % % 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 2003 8 NaN NaN NaN NaN NaN NaN 23.212 1.667 2003 9 NaN NaN NaN NaN NaN NaN 19.239 1.104 2003 10 NaN NaN NaN NaN NaN NaN 12.047 -0.648 2003 11 NaN NaN NaN NaN NaN NaN 9.809 2.139 2003 12 NaN NaN NaN NaN NaN NaN 2.852 1.104 2004 1 NaN NaN NaN NaN NaN NaN -4.310 -3.594 2004 2 NaN NaN NaN NaN NaN NaN 0.269 0.664 2004 3 NaN NaN NaN NaN NaN NaN 4.167 0.896 2004 4 NaN NaN NaN NaN NaN NaN 8.913 0.709 2004 5 NaN NaN NaN NaN NaN NaN 14.429 0.953 2004 6 NaN NaN NaN NaN NaN NaN 18.165 -0.364 2004 7 NaN NaN NaN NaN NaN NaN 21.379 -0.418 2004 8 24.024 1.001 0 0 24.024 1.001 21.454 -0.090 2004 9 21.748 2.135 0 0 21.748 2.135 19.251 1.117 2004 10 14.393 0.220 1 0 NaN NaN 12.438 -0.257 2004 11 9.017 -0.131 1 0 NaN NaN 8.693 1.024 2004 12 5.611 2.385 0 0 5.611 2.385 2.602 0.854 2005 1 NaN NaN NaN NaN NaN NaN -1.180 -0.464 2005 2 NaN NaN NaN NaN NaN NaN 0.280 0.675 2005 3 4.072 -0.677 0 0 4.072 -0.677 1.980 -1.291 2005 4 8.637 -1.045 0 0 8.637 -1.045 9.060 0.856 2005 5 13.270 -1.684 0 0 13.270 -1.684 11.408 -2.068 2005 6 21.533 1.525 0 0 21.533 1.525 19.311 0.782 2005 7 23.952 0.677 0 0 23.952 0.677 22.234 0.437 2005 8 24.969 1.946 0 0 24.969 1.946 23.627 2.083 2005 9 21.505 1.893 0 0 21.505 1.893 20.499 2.364 2005 10 15.563 1.390 0 0 15.563 1.390 13.601 0.906 2005 11 10.797 1.650 0 0 10.797 1.650 9.727 2.058 2005 12 3.173 -0.054 0 0 3.173 -0.054 1.421 -0.327 2006 1 4.370 3.608 0 0 4.370 3.608 3.653 4.369 2006 2 2.178 1.095 0 0 2.178 1.095 0.772 1.167 2006 3 5.557 0.808 0 0 5.557 0.808 3.871 0.600 2006 4 10.854 1.172 0 0 10.854 1.172 9.643 1.440 2006 5 15.113 0.159 0 0 15.113 0.159 13.575 0.099 2006 6 20.743 0.736 0 0 20.743 0.736 18.840 0.311 2006 7 24.421 1.146 0 0 24.421 1.146 23.215 1.419 2006 8 23.972 0.949 0 0 23.972 0.949 22.186 0.641 2006 9 18.939 -0.674 0 0 18.939 -0.674 17.884 -0.251 2006 10 16.788 2.615 1 0 NaN NaN 12.576 -0.119 2006 11 8.751 -0.396 1 0 NaN NaN 10.866 3.197 2006 12 7.831 4.604 0 0 7.831 4.604 5.813 4.064 2007 1 3.087 2.325 0 0 3.087 2.325 2.343 3.059 2007 2 -1.019 -2.102 0 0 -1.019 -2.102 -2.321 -1.926 2007 3 4.967 0.218 0 0 4.967 0.218 3.353 0.081 2007 4 8.544 -1.137 0 0 8.544 -1.137 7.509 -0.695 2007 5 15.849 0.895 1 0 NaN NaN 14.451 0.975 2007 6 20.804 0.797 0 0 20.804 0.797 18.690 0.161 2007 7 23.194 -0.080 0 0 23.194 -0.080 21.785 -0.011 2007 8 22.531 -0.492 0 0 22.531 -0.492 21.862 0.317 2007 9 20.986 1.373 0 0 20.986 1.373 19.408 1.274 2007 10 18.253 4.080 0 0 18.253 4.080 16.089 3.394 2007 11 8.983 -0.164 0 0 8.983 -0.164 7.837 0.168 2007 12 3.469 0.242 0 0 3.469 0.242 2.010 0.262 2008 1 3.456 2.693 0 0 3.456 2.693 1.761 2.477 2008 2 2.307 1.224 0 0 2.307 1.224 1.128 1.524 2008 3 5.057 0.308 0 0 5.057 0.308 4.182 0.910 2008 4 10.955 1.273 0 0 10.955 1.273 9.805 1.601 2008 5 14.473 -0.481 0 0 14.473 -0.481 12.652 -0.823 2008 6 22.335 2.327 1 0 NaN NaN 20.243 1.714 2008 7 23.729 0.454 1 0 NaN NaN 23.125 1.328 2008 8 21.165 -1.858 1 0 NaN NaN 20.900 -0.645 2008 9 20.702 1.089 1 0 NaN NaN 19.074 0.940 2008 10 13.452 -0.721 0 0 13.452 -0.721 12.080 -0.615 2008 11 7.956 -1.191 0 0 7.956 -1.191 7.924 0.254 2008 12 4.714 1.488 0 0 4.714 1.488 3.196 1.447 2009 1 0.708 -0.054 1 0 NaN NaN -2.783 -2.067 2009 2 3.834 2.752 1 0 NaN NaN 1.118 1.513 2009 3 7.604 2.855 1 0 NaN NaN 3.558 0.287 2009 4 NaN NaN NaN NaN NaN NaN 9.623 1.420 2009 5 NaN NaN NaN NaN NaN NaN 13.723 0.248 2009 6 NaN NaN NaN NaN NaN NaN 17.168 -1.361 2009 7 NaN NaN NaN NaN NaN NaN 20.696 -1.101 2009 8 NaN NaN NaN NaN NaN NaN 22.813 1.268 2009 9 NaN NaN NaN NaN NaN NaN 17.756 -0.378 2009 10 NaN NaN NaN NaN NaN NaN 11.890 -0.805 2009 11 NaN NaN NaN NaN NaN NaN 10.815 3.146 2009 12 NaN NaN NaN NaN NaN NaN 1.686 -0.062 2010 1 NaN NaN NaN NaN NaN NaN -0.470 0.246 2010 2 NaN NaN NaN NaN NaN NaN 0.236 0.632 2010 3 NaN NaN NaN NaN NaN NaN 6.878 3.607