Top Banner
Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS
16

Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Jan 04, 2016

Download

Documents

Harry Hudson
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model

 Xiaobin Yin, Jacqueline Boutin

LOCEAN & ARGANS

Page 2: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Introduction

Martin et al. JGR, 2014

• CAROLS flights => slightly lower wind influence than model 1 at high WS

• Comparison with other ESL empirical models also suggest overestimate of model 1 at high WS

• In model 1 previous development we empirically derive foam coverage from SMOS Tbs assuming Stogryn 1972 empirical foam emissivity model (fn of frequency and incidence angle). Since that model was developped for freq>13GHz, we review the SMOS foam model 1 (emissivity+coverage)

Page 3: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Along track in the FOV (+-20km) and in front of Nadir

SMOS ascending Tbs (L1c V620): Tbs along track (~ no mixing of polarization) in the Southern Pacific (far from land) from 50°S to 0°N. L2 measurement discrimination (same as for OTT generation except).

15 ascending orbits in May 2011 + 15 ascending orbits in November 2012

SMOS data used

Incidence angles from 0° to 55°

Page 4: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Modeling of SMOS Tbs• Tb = Tbatm↑ + Rsea (Tbatm↓ + Tbsky) exp(-atm) + Tbsea exp(-atm)

Ocean

Atmosphere

Tbsea= (Tbflat+Tbrough) (1-F) + F Tbfoam

=Tbflat+Tbwind

Tbwind derived from SMOS Tbs after correcting for all other effects

Tbsea=esea SST

esea =eflat + ewind

Rsea =1- esea

Wind induced components from the SMOS TB

Page 5: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Data fitting

Wind induced component of emissivity deduced

(0-55° in step of 5°)

Tbwind=(1-F)Tbrough + F(Tbfoam-Tbflat)

100.225log ( /2)23 *

0*

1.25( )

kku

S k a kg

3m/s<U<7m/sa0 (prior=0.004 – 0.008)

8m/s<U<22m/sCoverage F(U) &

emissivity efoam(U)

a0 =0.005 (same as Yin et al., 2012)

Spectrum(proportional to Durden and Vesecky wave spectrum)

Foam

Thickness(U)

Page 6: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

ef = mUefU + mDefD + mw Foam emissivity upward e downward e reflected transmitted water e

Microwave emissivity of sea foam layers with vertically inhomogeneous dielectric properties

Air

Foam

Sea water

Thickness

Ulaby et al., 1981, 2013,

Anguelova and Gaiser, 2013

Void fraction

Page 7: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Dependence of foam emissivity on foam layer thickness Z for different frequencies

Thickness is a key point for the foam emissivity at L band (it varies from 0.35 to close to 1 with thickness varying from 0.01cm to 2cm) In the following, we assume ‘effective’ foam thickness = fn(U)

Page 8: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

L band foam thickness, foam coverage & Void Fraction derived from SMOS multi-angular TBs using a Levenberg & Marquardt

minimisation scheme

Thickness(U)

(‘effective’)

Foam coverage(U)

Fitted Void Fraction (percentage of air in a bubble) at the air-foam interface is always around 98%.

Page 9: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Foam emissivity VS wind speed (thickness)

Foam emissivity (different U) VS incidence angle

Page 10: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Tbwind VS wind speed

Much better fit to SMOS Tbs at high U and much closer to Guimbard et al. 2012 fit...except at 55°Vpol ? What happens at 55° V-pol? Latitudinal drift? Permittivity?

Page 11: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

No latitudinal drift in Thwind at 7m/s1K latitudinal drift from 50S to 0 in Tvwind at 7m/s at 55 incidence angles

HPOL VPOL

?

Latitudinal profiles of Tbwind at 7m/sTbwind averaged over 1° latitudinal bin

Page 12: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Comparison with AQUARIUS models

Tbwind from SMOS is higher than Tbwind from Aquarius. Different WS used (Aquarius team uses SSMI, NCEP & WINDSAT)

Page 13: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Yin et al., RSE, 2013

Page 14: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Conclusions and Perspectives

1) Foam thickness is one key point for the foam emissivity at L band, which varies from 0.35 to close to 1 with thickness varying from ~1mm (U~7m/s) to > 2cm.

2) A much better agreement with SMOS data is obtained when introducing a foam emissivity as a function of wind speed (foam ‘effective’ thickness). But still disagreement at 55°V-pol ???

3) SMOS Tbwind is different to Aquarius Tbwind at wind speed above 15m/s (likely an effect of differences between ECWMF and SSMIS at high WS)

4) A larger set of V6 SMOS L1c TB will be used for validating and/or improving model.

Page 15: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Tbwind VS wind speed

Page 16: Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.

Comparison with Aquarius models

Tbwind without shift