%** ================================================================= ** %** BERING STRAIT ANNUAL MEANS - FW ** %** ================================================================= ** %** Processed Jun2017 from transalla3 and v4 etc ** %** Contact: Rebecca Woodgate (woodgate@apl.washington.edu) (206)-221-3268 %** Background: http://psc.apl.washington.edu/BeringStrait.html %** %** If you use these data, especially for publications, please: %** a) Email me with the publication reference %** b) Cite the data, viz: %** %** CITATIONS: %** 1) Woodgate R.A., K.Stafford, F.Prahl, 2015, %** A Synthesis of Year-round Interdisciplinary Mooring Measurements %** in the Bering Strait (1990-2014) and the RUSALCA years (2004-2011), %** Oceanography 28(3):46-67, doi:10.5670/oceanog.2015.57 %** 2) Woodgate, R.A., submitted 2017 %** Increases in the Pacific inflow to the Arctic from 1990 to 2015, and %** insights into seasonal trends and driving mechanisms from year-round %** Bering Strait mooring data %** Submitted to Progress in Oceanography %** %** See those references for methods and data isses %** %** ================================================================= ** %** ===== ANNUAL (CALENDAR YEAR) MEAN fw fluxes (km^3) ====== ** %** ===== WITH STANDARD ACC/STratification corrections ============== ** %** ================================================================= ** %** fw = estimate of total annual freshwater flux (no ACC correction) %** relative to 34.8psu %** err = error in that mean %** Mooring data used A3 and A3v4 with scorr %** corr = with corrections for instrument depth, data dropouts, biofouling %** FWoff1 FWoff2 - high & low estimates for ACC & stratification corrections %** FWLow - A3v4 with scorr + FWoff1, totFWHigh=A3v4 with scorr + FWoff2 %** NaN = insufficient data to compute annual mean %** ---------------------------- % YEAR A3fw A3FWerr YEAR A3FWcorr A3FWCerr FWoff1 FWoff2 YEAR A3corrtotFWLow A3corrtotFWHigh 1991 1599 333 1991 1729 360 800 1000 1991 2529 2729 1992 NaN NaN 1992 NaN NaN 800 1000 1992 NaN NaN 1993 NaN NaN 1993 NaN NaN 800 1000 1993 NaN NaN 1994 NaN NaN 1994 NaN NaN 800 1000 1994 NaN NaN 1995 NaN NaN 1995 NaN NaN 800 1000 1995 NaN NaN 1996 NaN NaN 1996 NaN NaN 800 1000 1996 NaN NaN 1997 NaN NaN 1997 NaN NaN 800 1000 1997 NaN NaN 1998 NaN NaN 1998 NaN NaN 800 1000 1998 NaN NaN 1999 NaN NaN 1999 NaN NaN 800 1000 1999 NaN NaN 2000 1508 246 2000 1754 248 800 1000 2000 2554 2754 2001 1320 170 2001 1459 185 800 1000 2001 2259 2459 2002 1644 185 2002 1792 201 800 1000 2002 2592 2792 2003 1986 269 2003 2164 293 800 1000 2003 2964 3164 2004 2091 295 2004 2280 322 800 1000 2004 3080 3280 2005 1435 231 2005 1567 253 800 1000 2005 2367 2567 2006 1657 216 2006 1803 233 800 1000 2006 2603 2803 2007 2106 221 2007 2226 230 800 1000 2007 3026 3226 2008 1730 186 2008 1730 185 800 1000 2008 2530 2730 2009 1936 253 2009 1932 251 800 1000 2009 2732 2932 2010 2280 258 2010 2270 257 800 1000 2010 3070 3270 2011 2352 283 2011 2352 283 800 1000 2011 3152 3352 2012 1576 259 2012 1552 253 800 1000 2012 2352 2552 2013 2459 206 2013 2327 197 800 1000 2013 3127 3327 2014 2729 332 2014 2529 304 800 1000 2014 3329 3529 2015 2523 236 2015 2370 218 800 1000 2015 3170 3370 2016 NaN NaN 2016 NaN NaN 800 1000 2016 NaN NaN