FN Archimer Export Format
PT J
TI Utilizing the Drake Passage Time-series to understand variability and change in subpolar Southern Ocean pCO(2)
BT 
AF FAY, Amanda R.
   LOVENDUSKI, Nicole S.
   MCKINLEY, Galen A.
   MUNRO, David R.
   SWEENEY, Colm
   GRAY, Alison R.
   LANDSCHUETZER, Peter
   STEPHENS, Britton B.
   TAKAHASHI, Taro
   WILLIAMS, Nancy
AS 1:1;2:2,3;3:1;4:2,3;5:4,5;6:6;7:7;8:8;9:1;10:9;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;
C1 Columbia Univ, Lamont Doherty Earth Observ, New York, NY 10027 USA.
   Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA.
   Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA.
   Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA.
   NOAA, Earth Syst Res Lab, Boulder, CO USA.
   Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
   Max Planck Inst Meteorol, Hamburg, Germany.
   NCAR, Boulder, CO USA.
   Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
C2 UNIV COLUMBIA, USA
   UNIV COLORADO, USA
   UNIV COLORADO, USA
   UNIV COLORADO, USA
   NOAA, USA
   UNIV WASHINGTON, USA
   MAX PLANCK INST METEOROL, GERMANY
   NCAR NATL CTR ATMOSPHER RES, USA
   UNIV OREGON STATE, USA
IN DOAJ
IF 3.951
TC 27
UR https://archimer.ifremer.fr/doc/00673/78488/80826.pdf
   https://archimer.ifremer.fr/doc/00673/78488/80827.pdf
   https://archimer.ifremer.fr/doc/00673/78488/80828.pdf
   https://archimer.ifremer.fr/doc/00673/78488/80829.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
AB The Southern Ocean is highly under-sampled for the purpose of assessing total carbon uptake and its variability. Since this region dominates the mean global ocean sink for anthropogenic carbon, understanding temporal change is critical. Underway measurements of pCO(2) collected as part of the Drake Passage Time-series (DPT) program that began in 2002 inform our understanding of seasonally changing air-sea gradients in pCO(2), and by inference the carbon flux in this region. Here, we utilize available pCO(2) observations to evaluate how the seasonal cycle, interannual variability, and long-term trends in surface ocean pCO(2) in the Drake Passage region compare to that of the broader subpolar Southern Ocean. Our results indicate that the Drake Passage is representative of the broader region in both seasonality and long-term pCO(2) trends, as evident through the agreement of timing and amplitude of seasonal cycles as well as trend magnitudes both seasonally and annually. The high temporal density of sampling by the DPT is critical to constraining estimates of the seasonal cycle of surface pCO(2) in this region, as winter data remain sparse in areas outside of the Drake Passage. An increase in winter data would aid in reduction of uncertainty levels. On average over the period 2002-2016, data show that carbon uptake has strengthened with annual surface ocean pCO(2) trends in the Drake Passage and the broader subpolar Southern Ocean less than the global atmospheric trend. Analysis of spatial correlation shows Drake Passage pCO(2) to be representative of pCO(2) and its variability up to several hundred kilometers away from the region. We also compare DPT data from 2016 and 2017 to contemporaneous pCO(2) estimates from autonomous biogeochemical floats deployed as part of the Southern Ocean Carbon and Climate Observations and Modeling project (SOCCOM) so as to highlight the opportunity for evaluating data collected on autonomous observational platforms. Though SOCCOM floats sparsely sample the Drake Passage region for 2016-2017 compared to the Drake Passage Time-series, their pCO(2) estimates fall within the range of underway observations given the uncertainty on the estimates. Going forward, continuation of the Drake Passage Time-series will reduce uncertainties in Southern Ocean carbon uptake seasonality, variability, and trends, and provide an invaluable independent dataset for post-deployment assessment of sensors on autonomous floats. Together, these datasets will vastly increase our ability to monitor change in the ocean carbon sink. 
PY 2018
PD JUL
SO Biogeosciences
SN 1726-4170
PU Copernicus Gesellschaft Mbh
VL 15
IS 12
UT 000436136600001
BP 3841
EP 3855
DI 10.5194/bg-15-3841-2018
ID 78488
ER

EF