02.06.2013 Views

SMOS L2 OS ATBD - ARGANS

SMOS L2 OS ATBD - ARGANS

SMOS L2 OS ATBD - ARGANS

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

43<br />

ICM-CSIC<br />

LOCEAN/SA/CETP<br />

IFREMER<br />

<strong>SM<strong>OS</strong></strong> <strong>L2</strong> <strong>OS</strong><br />

Algorithm Theoretical<br />

Baseline Document<br />

Doc: SO-TN-ARG-GS-0007<br />

Issue: 3 Rev: 9<br />

Date: 25 January 2013<br />

Page: 43<br />

(the Kirchhoff regime) and small scale (the Bragg regime) roughness within a single<br />

theoretical scheme.<br />

The calculation yields the following expression for a dimensionless scattering cross section<br />

o<br />

o<br />

for scattering of the wave of polarization into the wave of polarization<br />

o :<br />

2<br />

<br />

2<br />

<br />

2 <br />

1 2q<br />

q<br />

q q<br />

qk<br />

qi<br />

r<br />

k i (<br />

n n<br />

B n n e k <br />

<br />

i ) (<br />

0)<br />

<br />

(<br />

) (<br />

) <br />

<br />

<br />

<br />

<br />

( s , i ) ( , )<br />

e<br />

e<br />

q q s i<br />

<br />

1<br />

<br />

k i o<br />

<br />

<br />

<br />

( ns<br />

ni<br />

) r<br />

<br />

<br />

dr<br />

i<br />

o<br />

(2)<br />

o<br />

where ( q k , qi<br />

) represent the vertical projections of the wave vectors and the kernel<br />

<br />

functions B ( n , n ) are given in Appendix of [9]. These kernels are geometric<br />

s i<br />

o<br />

functions of the dielectric constant: we used the Klein and Swift's model [10] to estimate the<br />

dielectric constant of sea water at L-band.<br />

Here, the function (r )<br />

<br />

is defined by the relation:<br />

<br />

2 <br />

iQ(<br />

h(<br />

r ) h(<br />

r ) exp Q ( 0)<br />

(<br />

r r )<br />

<br />

<br />

exp 1 2<br />

1 2<br />

where means averaging over the space homogeneous statistical ensemble of sea surface<br />

roughness, described by the surface elevation signal h( r 1)<br />

<br />

, and Q qk<br />

qi<br />

. For Gaussian<br />

statistics represents the correlation function of roughness and can be expressed strictly in<br />

terms of a roughness spectrum:<br />

2<br />

<br />

<br />

(<br />

r)<br />

W ( k ) exp i k r dk<br />

<br />

0 0<br />

<br />

where W (k )<br />

is the directional wavenumber spectrum of the rough sea surface at surface<br />

wavenumber vector k .<br />

In the present work, sea surface statistics is assumed Gaussian and is obtained from the<br />

sea surface spectrum model of Kudryavtsev al. [11]. In our approach, the calculation of<br />

o<br />

o<br />

is performed using an azimuthal harmonic decomposition for the autocorrelation<br />

function. Moreover, to calculate accurately the autocorrelation function, we introduced a<br />

sufficiently dense net on the surface wavenumber vector plane within the range<br />

3<br />

3<br />

10 k 10<br />

rad/m, applying a uniform step with respect to log(k) rather than to k.<br />

3.6.2. Mathematical description<br />

3.6.2.1 Simplified scattered solar radiation contributions<br />

An additional model simplification is used to estimate the amount of solar energy scattered<br />

by the sea surface and impinging the MIRAS antenna. We assumed than within the solid<br />

angle subtended by the sun as seen from any of the observed terrestrial targets, the local sun<br />

direction ni is almost constant, so that, at any target T, the radiometric sunglint temperatures<br />

T ( , )<br />

<br />

of a sunglint Stokes vector component, can be approximated locally at polarization<br />

ss ns<br />

, by:

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!