FN Archimer Export Format
PT J
TI When can ocean acidification impacts be detected from decadal alkalinity measurements?
BT 
AF CARTER, B. R.
   FROLICHER, T. L.
   DUNNE, J. P.
   RODGERS, K. B.
   SLATER, R. D.
   SARMIENTO, J. L.
AS 1:1,2;2:3;3:4;4:5;5:5;6:5;
FF 1:;2:;3:;4:;5:;6:;
C1 Univ Washington, Joint Inst Study Atmosphere & Oceans, Seattle, WA 98195 USA.
   NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USA.
   ETH, Inst Biogeochem & Pollutant Dynam, Environm Phys, Zurich, Switzerland.
   Princeton Univ, NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08544 USA.
   Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA.
C2 UNIV WASHINGTON, USA
   NOAA, USA
   ETH ZURICH, SWITZERLAND
   UNIV PRINCETON, USA
   UNIV PRINCETON, USA
IF 4.655
TC 17
UR https://archimer.ifremer.fr/doc/00383/49419/49860.pdf
   https://archimer.ifremer.fr/doc/00383/49419/49861.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;alkalinity;ocean acidification;trend detection;repeat hydrography;carbon cycle;carbonate system
AB We use a large initial condition suite of simulations (30 runs) with an Earth system model to assess the detectability of biogeochemical impacts of ocean acidification (OA) on the marine alkalinity distribution from decadally repeated hydrographic measurements such as those produced by the Global Ship-Based Hydrographic Investigations Program (GO-SHIP). Detection of these impacts is complicated by alkalinity changes from variability and long-term trends in freshwater and organic matter cycling and ocean circulation. In our ensemble simulation, variability in freshwater cycling generates large changes in alkalinity that obscure the changes of interest and prevent the attribution of observed alkalinity redistribution to OA. These complications from freshwater cycling can be mostly avoided through salinity normalization of alkalinity. With the salinity-normalized alkalinity, modeled OA impacts are broadly detectable in the surface of the subtropical gyres by 2030. Discrepancies between this finding and the finding of an earlier analysis suggest that these estimates are strongly sensitive to the patterns of calcium carbonate export simulated by the model. OA impacts are detectable later in the subpolar and equatorial regions due to slower responses of alkalinity to OA in these regions and greater seasonal equatorial alkalinity variability. OA impacts are detectable later at depth despite lower variability due to smaller rates of change and consistent measurement uncertainty. 
PY 2016
PD APR
SO Global Biogeochemical Cycles
SN 0886-6236
PU Amer Geophysical Union
VL 30
IS 4
UT 000376268000004
BP 595
EP 612
DI 10.1002/2015GB005308
ID 49419
ER

EF