% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36348 % Primary Name: OLD FERRY ISLAND % Record Type: TAVG % Country: United States % State: NY % Latitude: 40.96700 +/- 0.00050 % Longitude: -73.08300 +/- 0.00050 % Elevation (m): 16.00 +/- 0.05 % # of Months: 54 % % IDs: gsod - 994940-99999 % icao - OFPN6 % usaf - 994940 % % Sources: Global Summary of the Day % % Site Hash: 978fc2afb63ee85d8afee5d2b194149b % Raw Data Hash: c2775efbdc39c09d54af9d6d49971d20 % Adj Data Hash: 1e4d2c56d4c95a316d281110c483f805 % % 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 23.806 0.569 0 0 23.806 0.569 21.454 -0.090 2004 9 22.367 2.540 0 0 22.367 2.540 19.251 1.117 2004 10 14.516 0.129 1 0 NaN NaN 12.438 -0.257 2004 11 9.601 0.240 1 0 NaN NaN 8.693 1.024 2004 12 4.701 1.260 1 0 NaN NaN 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 4.033 -0.931 0 0 4.033 -0.931 1.980 -1.291 2005 4 8.497 -1.398 0 0 8.497 -1.398 9.060 0.856 2005 5 13.061 -2.106 1 0 NaN NaN 11.408 -2.068 2005 6 21.831 1.610 0 0 21.831 1.610 19.311 0.782 2005 7 23.704 0.216 1 0 NaN NaN 22.234 0.437 2005 8 25.198 1.961 0 0 25.198 1.961 23.627 2.083 2005 9 22.063 2.237 0 0 22.063 2.237 20.499 2.364 2005 10 15.629 1.242 1 0 NaN NaN 13.601 0.906 2005 11 10.051 0.689 0 0 10.051 0.689 9.727 2.058 2005 12 3.491 0.051 0 0 3.491 0.051 1.421 -0.327 2006 1 4.528 3.552 0 0 4.528 3.552 3.653 4.369 2006 2 3.430 2.133 0 0 3.430 2.133 0.772 1.167 2006 3 5.353 0.390 0 0 5.353 0.390 3.871 0.600 2006 4 11.654 1.759 1 0 NaN NaN 9.643 1.440 2006 5 15.485 0.317 0 0 15.485 0.317 13.575 0.099 2006 6 20.944 0.723 0 0 20.944 0.723 18.840 0.311 2006 7 24.780 1.291 0 0 24.780 1.291 23.215 1.419 2006 8 24.019 0.782 0 0 24.019 0.782 22.186 0.641 2006 9 19.636 -0.190 0 0 19.636 -0.190 17.884 -0.251 2006 10 17.215 2.828 1 0 NaN NaN 12.576 -0.119 2006 11 9.303 -0.058 1 0 NaN NaN 10.866 3.197 2006 12 8.074 4.634 1 0 NaN NaN 5.813 4.064 2007 1 3.300 2.324 0 0 3.300 2.324 2.343 3.059 2007 2 -0.347 -1.643 0 0 -0.347 -1.643 -2.321 -1.926 2007 3 5.339 0.376 0 0 5.339 0.376 3.353 0.081 2007 4 8.861 -1.035 0 0 8.861 -1.035 7.509 -0.695 2007 5 15.352 0.184 1 0 NaN NaN 14.451 0.975 2007 6 20.932 0.711 0 0 20.932 0.711 18.690 0.161 2007 7 23.544 0.056 1 0 NaN NaN 21.785 -0.011 2007 8 23.201 -0.035 0 0 23.201 -0.035 21.862 0.317 2007 9 21.301 1.474 0 0 21.301 1.474 19.408 1.274 2007 10 18.320 3.933 0 0 18.320 3.933 16.089 3.394 2007 11 9.094 -0.267 0 0 9.094 -0.267 7.837 0.168 2007 12 4.213 0.772 0 0 4.213 0.772 2.010 0.262 2008 1 3.956 2.980 0 0 3.956 2.980 1.761 2.477 2008 2 2.606 1.310 0 0 2.606 1.310 1.128 1.524 2008 3 5.100 0.136 0 0 5.100 0.136 4.182 0.910 2008 4 10.878 0.982 1 0 NaN NaN 9.805 1.601 2008 5 14.683 -0.485 0 0 14.683 -0.485 12.652 -0.823 2008 6 22.713 2.492 1 0 NaN NaN 20.243 1.714 2008 7 23.343 -0.145 1 0 NaN NaN 23.125 1.328 2008 8 22.230 -1.007 1 0 NaN NaN 20.900 -0.645 2008 9 21.049 1.223 0 0 21.049 1.223 19.074 0.940 2008 10 15.820 1.433 1 0 NaN NaN 12.080 -0.615 2008 11 8.587 -0.774 0 0 8.587 -0.774 7.924 0.254 2008 12 4.843 1.403 0 0 4.843 1.403 3.196 1.447 2009 1 1.384 0.408 1 0 NaN NaN -2.783 -2.067 2009 2 2.145 0.848 1 0 NaN NaN 1.118 1.513 2009 3 6.587 1.624 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