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Magdalena D. Anguelova

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Novel Applications of Remote Sensing for Improved Quantification of Sea Spray Source Function Magdalena D. Anguelova Michael H. Bettenhausen William F. Johnston* – PowerPoint PPT presentation

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Title: Magdalena D. Anguelova


1

Novel Applications of Remote Sensing for
Improved Quantification of Sea Spray Source
Function
  • Magdalena D. Anguelova
  • Michael H. Bettenhausen
  • William F. Johnston
  • Peter
    W. Gaiser

Remote Sensing Division, Naval Research
Laboratory, Washington, DC Computational
Physics, Inc., Springfield, VA
2
Motivation
  • Sea spray aerosols
  • Direct effect cooling
  • Indirect effect
  • Dominate the activation of CCN
  • Compete with SO42- aerosols
  • Halogen chemistry
  • Reactive Cl and Br
  • Tropospheric O3
  • Sink of S
  • Sea spray droplets
  • Heat exchange
  • Tropical storm intensification
  • Whitecaps
  • Gas exchange
  • Ocean albedo roughness
  • Geophysical retrievals
  • Surface wind
  • Ocean color
  • Salinity

3
Sea spray source function
Rate of production of sea spray per unit area per
increment of droplet radius, r (s-1 m-2 ?m-1).
4
Possible improvements
de Leeuw et al. ODowd et al. Keene et al. Quinn
Bates et al. Meskhidze Peters et al.
  • For the size distribution f(r)
  • Extend the size range, large and small ends
  • Recognize and include the effect of organics
  • Introduce ambient factors
  • For the scaling factor f(U)
  • Less uncertainty in measuring W
  • Introduce ambient factors
  • Remote sensing method, results, implications

(de Leeuw et al., 2011)
Ernie Lewis poster Sofiev et al., 2011
5
Objective
  • Measure W globally
  • Compile database
  • Model the high variability of whitecap fraction

U wind speed (U10 or u) ?T atmospheric
stability ( Tair Tsea) X wind fetch d
wind duration Ucur water currents Ts sea
surface temperature S salinity Ck
concentration, type (k) of surface active
materials
6
Whitecaps signature
High Reflectivity
High Emissivity
Reflectivity Emissivity
IR
mW
Vis
7
Remote sensing of sea foam
  • Microwave region
  • Advantages
  • Transparent (almost) atmosphere
  • ...4 problem ...at 5 GHz,..., 90 problem at
    IR (Swift, 1990)
  • Tractable atmospheric correction
  • Clouds penetration
  • Drawback
  • Low resolution
  • Smoother geophysical variability
  • Trade-off global coverage
  • More data
  • Various conditions

8
Models
Anguelova and Webster, 2006 Anguelova et al., 2006
  • Rough sea surface model
  • 2-scale
  • Wave spectrum
  • Durden/Vesecky/Yueh
  • Tuned for roughness only
  • Using WindSat code (v. 1.9.6)
  • Foam emissivity model
  • RT model
  • Layer with vertically non-uniform properties
  • Distribution of thicknesses

9
Data
  • Independent sources
  • TB from WindSat
  • V, L from SSM/I or TMI
  • U10 and ? from QuikSCAT or GDAS
  • Ts from GDAS
  • S 34 psu
  • Trade-off
  • Sampling issues
  • Use long-term data

Sample count
10
Estimates of W
  • Improvements over the feasibility study
    (Anguelova and Webster, 2006)
  • More physical models
  • Independence of the variables

11
Compare to photographic data
12
Further development
  • Models
  • Higher resolution
  • Improved wave spectrum in 2-scale model
  • Comparisons/Validation
  • More points for direct comparisons
  • Indirect comparisons in terms of other variables
  • CO2 fluxes from ship cruises
  • and COARE CO2 parameterization
  • AOD from AERONET
  • and AOD from microphysical aerosol model
  • Uncertainty characterization
  • Currently uncertainty minimization
  • Evaluate the remaining using global geophysical
    model

13
Whitecaps data base
  • All available orbits for
  • Resolution 5070 km2
  • Time period
  • Entire 2006
  • Months of 2003, 2007 and 2008
  • Gridded data
  • With 0.5? x 0.5? grid box
  • Any other N? x N? possible
  • Time periods
  • Daily
  • Monthly
  • Weekly (7 days)
  • 3-days

14
Geographic characteristics of W
March, 2007 0.5? x 0.5?
Wind speed formula
Satellite, 10.7 GHz, H pol.
15
Geographic characteristics of W
March, 2007 0.5? x 0.5?
Wind speed formula
Satellite, 18.7 GHz, H pol.
16
Develop parameterization(s)
  • Relative importance of the variables
  • Correlation analysis

17
New sea spray source function
  • Include wave-field characteristics and one more
    factor
  • Improve/choose size distribution
  • Include organics

18
Sea-salt flux
Anguelova and Webster, 2006
  • Solar irradiance at TOA (W/m2) GCM ERBE
  • NO aerosols
  • Max difference over the oceans.

19
Sea foam definition
  • Passive remote sensing
  • Radiometers detect only the surface foam layers
  • Skin depth
  • At microwave frequencies
  • a few mm to a few cm
  • Oceanographic definition
  • Whitecaps on the surface
  • Bubble plumes below

20
Photographic measurements
  • High uncertainty up to 30 or more
  • Intensity threshold
  • A and B stages under oblique angle
  • Patchy coverage
  • Open ocean
  • Southern ocean!

Stramska and Petelski, 2003
21
Improvements and restrictions
(de Leeuw et al., 2011)
22
Modeling whitecap fraction
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