Aeolian Iron Input and Ocean NitrogenCarbon Cycle - PowerPoint PPT Presentation

1 / 27
About This Presentation
Title:

Aeolian Iron Input and Ocean NitrogenCarbon Cycle

Description:

Aeolian Iron Input and Ocean NitrogenCarbon Cycle – PowerPoint PPT presentation

Number of Views:82
Avg rating:3.0/5.0
Slides: 28
Provided by: yuan64
Category:

less

Transcript and Presenter's Notes

Title: Aeolian Iron Input and Ocean NitrogenCarbon Cycle


1
Aeolian Iron Input and Ocean Nitrogen/Carbon
Cycle Yuan Gao Dept. of Earth and Environmental
Sciences Rutgers University Newark, NJ
2
Current Project Natural Iron Fertilization in
the Ocean and Its Impacts on Ocean Nitrogen
Fixation and Carbon cycles Investigators Yuan
Gao (Rutgers) Paul Falkowski (Rutgers) Yoram
Kaufman (NASA/GSFC) Daniel Sigman
(Princeton) Michael Follows (MIT) Sponsor NASA
Ocean Biology and Biogeochemistry Program
3
  • Project Components
  • Quantifying the variability of dust source
    functions and aeolian Fe bioavailability
  • Quantifying nitrogen fixation and its
    relationship with Fe supply
  • Quantifying the feedbacks between aeolian iron
    supply, nitrogen fixation and carbon
    sequestration through biogeochemical modeling.

4
LAND (dust source functions)
N Cycle
5
Temporal and spatial distributions of aeolian
Fe. (Gao, Y., Y. Kaufman, D. Tanré, D. Kolber,
and P. Falkowski, GRL, 2001)
6
(No Transcript)
7
  • Simulations using a GFDL SKYHI transport model
  • Iron input to the ocean is largely carried out by
    wet deposition through precipitation scavenging
  • (2) Annual input of dissolved Fe by
    precipitation
  • 0.5 to 4x1012 g yr-1, highlighting the role of
    precipitation on natural iron fertilization in
    the ocean.

(Gao, Y., S. Fan, and J. Sarmiento, JGR, 2003)
8
Quantifying aeolian Fe input to the ocean 1.
Variability associated with aeolian Fe solubility
and speciation bioavailability 2.
Variability associated with aeolian Fe source
functions dust source characterization.
9
Dust Particles over the North Pacific
(Gao and Anderson, JGR, in revision)
10
(No Transcript)
11
  • Figure 2. (a) Grain of calcite in an aerosol
    sample near Xian with a small grain of calcium
    sulfate on it. (b) Grain of clay with two patches
    of aggregated calcium sulfate.
  • Gao, Y and J. Anderson, JGR,
    2001.

12
(No Transcript)
13
Fe solubility build up the acid coating to
dissolve Fe
Key processes (1) acid coating (2) Fe dissolving
14
  • TO address aeolian Fe solubility and speciation
  • Model simulations of dissolved Fe deposition to
    the global ocean, using GFDL MOZART-2,
  • 2. Heterogeneous chemistry of Fe-containing
    minerals, focusing surface chemistry,
  • 3. Improvement of the in situ Fe measurements
    through the use of nano-technology,

15
MOZART-2 Fe solubility (experiment 1)
16
  • To address aeolian Fe source functions
  • Particle Size Distribution of dust in
    entrainment and effects on dust loading and
    deposition,
  • Role of land use changes (desertification) on
    dust emissions, using modeling/remote sensing,
  • 3. Dust source development and associated
    paleoclimate records.

17
MOZART-2 Global Transport model
Table 1 Dust size distribution in entrainment
Sd1 wind-carrying dust in dAlmeida, 1987 Sd2
background dust in dAlmeida, 1987 Sd3
wind-carrying dust in dAlmeida et al., 1991
Sd4 background dust in dAlmeida et al., 1991.
Dvg mass median diameter sg,n standard
deviation of the log-normal size distribution
mn mass fraction of each mode mi mass
fraction of each size bin. Dust size bins in
radius (µm) 0.1, 1.0, 1.8, 3.0, 6.0, 10.0.
18
Table 2 Dust annual budget and loading
The numbers in parentheses correspond to
particles with r lt 1µm Sd1 to Sd4 corresponds to
Experiment1 to Experiment4 respectively.
19
Loess Plateau
Luochan Loess Profile (Dust accumulation record
of 2.5 million years)
20
N fixation signal - low ?15N
  • Measurements from N. Atlantic
  • Low ?15N consistent with remineralization of
    newly fixed nitrogen
  • (Daniel Sigmans work at Princeton)

21
  • Numerical Model
  • Sub-surface DINxs maximum only possible with
    preferential remineralization of organic P
  • Depth of maximum depends on relative
    remineralization rate and NP of exported organic
    material

DINxs and SigmaT same remin rate for organic N, P
DINxs and SigmaT faster remin rate for organic P
From Mick Follows of MIT
22
  • Ongoing work
  • Overlay nitrogen isotope fractionation
  • address observed nitrogen isotope signatures
  • Coupling of explicit iron cycle model (Parekh et
    al., 2005 Dutkiewicz et al., 2005)
  • sensitivity of N2 fixation and geochemical
    signatures to dust deposition
  • Explicit denitrification and coupling of oxygen
    cycle
  • explore relationships of O2, Fe and N cycles

23
ACKNOWLEDGEMENT Drs. Larry Horowitz,
GFDL/NOAA Paul Ginoux, GFDL/NOAA Song-miao
Fan, GFDL/NOAA Helen Yang, Rutgers
University Profs Zhisheng An, Chinese Academy
of Sci. Min Hu, Peking University, China
24
(No Transcript)
25

Si-Al particles
Composition (atomic fraction)
Element
26
(No Transcript)
27
Table2 Dust flux to the HNLC regions (Tg/yr)
Write a Comment
User Comments (0)
About PowerShow.com