FN Archimer Export Format
PT J
TI Stable isotopes in surface waters of the Atlantic Ocean: Indicators of ocean-atmosphere water fluxes and oceanic mixing processes
BT 
AF BENETTI, M.
   REVERDIN, G.
   ALOISI, G.
   SVEINBJORNSDOTTIR, A.
AS 1:1,2;2:2;3:2;4:1;
FF 1:;2:;3:;4:;
C1 Univ Iceland, Inst Earth Sci, Reykjavik, Iceland.
   UPMC, Sorbonne Univ, CNRS, LOCEAN,IRD,MNHN, Paris, France.
C2 UNIV ICELAND, ICELAND
   UNIV PARIS 06, FRANCE
IF 2.711
TC 28
UR https://archimer.ifremer.fr/doc/00384/49560/50052.pdf
LA English
DT Article
CR MOOSE-GE 2016
   OVIDE 5
   PIRATA
BO L'Atalante
   Thalassa
AB The surface ocean hydrological cycle is explored based on ∼300 new δ18O and δD measurements from surface waters of the Atlantic Ocean and the Mediterranean Sea over the period 2010-2016. Our approach combines these surface observations with salinity (S) and stable isotope measurements of atmospheric water vapor. The distinct regional S-δ distributions are used to identify different surface water masses and their horizontal advection. Moreover, based on assumptions on the δ-S characteristics of seawater sources and the isotope composition of the evaporative (δe) and meteoric water (δMW) fluxes, the δ-S distribution is used to indicate the relative importance of evaporation (E) and meteoric water inputs (MW). Here, δe is estimated from the Craig and Gordon's equation using 120 days of measurements of the ambient air above the Atlantic Ocean collected during three cruises. To provide quantitative estimates of the E:MW ratio, we use the box model from Craig and Gordon (1965). This identifies the subtropical gyre as a region where E:MW ∼2 and the tropical ocean as a region were MW:E ∼2. Finally, we show that the δ18O-δD distribution is better represented by a linear fit than the δ-S relationship, even in basins governed by different hydrological processes. We interpret the δ18O-δD distribution considering the kinetic fractionation processes associated with evaporation. In the tropical region where MW exceeds E, the δ18O-δD distribution identifies the MW inputs from their kinetic signature, whereas in regions where E exceeds MW, the δ18O-δD distribution traces the humidity at the sea surface. 
PY 2017
PD JUL
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU Amer Geophysical Union
VL 122
IS 6
UT 000407088800014
BP 4723
EP 4742
DI 10.1002/2017JC012712
ID 49560
ER

EF