Estimating the distribution of colored dissolved organic matter during the Southern Ocean Gas Exchange Experiment using four-dimensional variational data assimilation

被引:2
|
作者
Del Castillo, C. E. [1 ,2 ]
Dwivedi, S. [3 ]
Haine, T. W. N. [2 ]
Ho, D. T. [4 ]
机构
[1] NASA, Ocean Ecol Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA
[3] Univ Allahabaci, Dept Atmospher & Ocean Sci, Allahabad, Uttar Pradesh, India
[4] Univ Hawaii, Dept Oceanog, Honolulu, HI 96822 USA
关键词
OPTICAL-PROPERTIES; NATURAL-WATERS; ABSORPTION; DIFFUSION; DYNAMICS; NUTRIENT; GEORGIA;
D O I
10.1002/2016JC012406
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
We diagnosed the effect of various physical processes on the distribution of mixed-layer colored dissolved organic matter (CDOM) and a sulfur hexafluoride (SF6) tracer during the Southern Ocean Gas Exchange Experiment (SO GasEx). The biochemical upper ocean state estimate uses in situ and satellite biochemical and physical data in the study region, including CDOM (absorption coefficient and spectral slope), SF6, hydrography, and sea level anomaly. Modules for photobleaching of CDOM and surface transport of SF6 were coupled with an ocean circulation model for this purpose. The observed spatial and temporal variations in CDOM were captured by the state estimate without including any new biological source term for CDOM, assuming it to be negligible over the 26 days of the state estimate. Thermocline entrainment and photobleaching acted to diminish the mixed-layer CDOM with time scales of 18 and 16 days, respectively. Lateral advection of CDOM played a dominant role and increased the mixed-layer CDOM with a time scale of 12 days, whereas lateral diffusion of CDOM was negligible. A Lagrangian view on the CDOM variability was demonstrated by using the SF6 as a weighting function to integrate the CDOM fields. This and similar data assimilation methods can be used to provide reasonable estimates of optical properties, and other physical parameters over the short-term duration of a research cruise, and help in the tracking of tracer releases in large-scale oceanographic experiments, and in oceanographic process studies.
引用
收藏
页码:2029 / 2049
页数:21
相关论文
共 50 条
  • [41] A Velocity Dealiasing Technique Using Rapidly Updated Analysis from a Four-Dimensional Variational Doppler Radar Data Assimilation System
    Lim, Eunha
    Sun, Juanzhen
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2010, 27 (07) : 1140 - 1152
  • [42] Pan-Arctic optical characteristics of colored dissolved organic matter: Tracing dissolved organic carbon in changing Arctic waters using satellite ocean color data
    Matsuoka, Atsushi
    Boss, Emmanuel
    Babin, Marcel
    Karp-Boss, Lee
    Hafez, Mark
    Chekalyuk, Alex
    Proctor, Christopher W.
    Werdell, P. Jeremy
    Bricaud, Annick
    REMOTE SENSING OF ENVIRONMENT, 2017, 200 : 89 - 101
  • [43] Observations of chromophoric dissolved and detrital organic matter distribution using remote sensing in the Southern Ocean: Validation, dynamics and regulation
    Ortega-Retuerta, E.
    Siegel, D. A.
    Nelson, N. B.
    Duarte, C. M.
    Reche, I.
    JOURNAL OF MARINE SYSTEMS, 2010, 82 (04) : 295 - 303
  • [44] A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition (vol 53, pg 1571, 2007)
    Cao, Yanhua
    Zhu, Jiang
    Navon, I. M.
    Luo, Zhendong
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2007, 54 (03) : 353 - 353
  • [45] Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation
    Pinnington, Ewan M.
    Casella, Eric
    Dance, Sarah L.
    Lawless, Amos S.
    Morison, James I. L.
    Nichols, Nancy K.
    Wilkinson, Matthew
    Quaife, Tristan L.
    AGRICULTURAL AND FOREST METEOROLOGY, 2016, 228 : 299 - 314
  • [46] An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part III: Antarctic Applications with Advanced Research WRF Using Real Data
    Liu, Chengsi
    Xiao, Qingnong
    MONTHLY WEATHER REVIEW, 2013, 141 (08) : 2721 - 2739
  • [47] Numerical Simulation of Rapid Weakening of Hurricane Joaquin with Assimilation of High-Definition Sounding System Dropsondes during the Tropical Cyclone Intensity Experiment: Comparison of Three- and Four-Dimensional Ensemble-Variational Data Assimilation
    Zhang, Shixuan
    Pu, Zhaoxia
    WEATHER AND FORECASTING, 2019, 34 (03) : 521 - 538
  • [48] Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space
    Matsuoka, A.
    Hooker, S. B.
    Bricaud, A.
    Gentili, B.
    Babin, M.
    BIOGEOSCIENCES, 2013, 10 (02) : 917 - 927
  • [49] Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation
    Stanevich, Ilya
    Jones, Dylan B. A.
    Strong, Kimberly
    Keller, Martin
    Henze, Daven K.
    Parker, Robert J.
    Boesch, Hartmut
    Wunch, Debra
    Notholt, Justus
    Petri, Christof
    Warneke, Thorsten
    Sussmann, Ralf
    Schneider, Matthias
    Hase, Frank
    Kivi, Rigel
    Deutscher, Nicholas M.
    Velazco, Voltaire A.
    Walker, Kaley A.
    Deng, Feng
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (12) : 9545 - 9572
  • [50] Characterizing ionospheric disturbances caused by the North Korean rocket (Hwasung-15) using a four-dimensional variational (4D-VAR) data-assimilation model
    Gwang Su Kim
    Yong Ha Kim
    Byung-Kyu Choi
    Junseok Hong
    Nicholas Ssessanga
    Journal of the Korean Physical Society, 2021, 79 : 785 - 794