www.monash.edu Validation of SMOS: Some first results Jeffrey Walker Department of Civil Engineering Sandy Peischl, Mahdi Allahmoradi, Christoph Rüdiger, Dongryeol Ryu, Nan Ye, Damian Barrett, Robert Gurney, Yann Kerr, Ed Kim, John Le Marshall
FR2.L10.2: VALIDATION OF SMOS: SOME FIRST RESULTS
Dec 01, 2014
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www.monash.edu
Validation of SMOS: Some first results
Jeffrey WalkerDepartment of Civil Engineering
Sandy Peischl, Mahdi Allahmoradi, Christoph Rüdiger, Dongryeol Ryu, Nan Ye, Damian Barrett, Robert Gurney, Yann Kerr, Ed Kim, John Le Marshall
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The Murrumbidgee catchment
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Catchment characteristics
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Permanent monitoring stations
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Ground sampling strategy
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Farm surface conditions
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An airborne SMOS/MODIS simulator
6 x Skye VIS/NIR/SWIR Spectrometers6 x Everest Thermal IR’s
L-band RadiometerM
OD
ISS
MO
S
TIR + Spectral
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AACES field campaigns: supplementary data
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AACES field campaigns: validation data
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www.moisturemap.monash.edu.au/AACES
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Rainfall
Canberra
Gundagai
140mm
115mm
Hay
80mm
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PLMR: 20 January – 20 February 2010
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Observations
General Overview
dry – little vegetationsome rain & dry down – little vegetation 150+mm rain – forest
(south) and other veg
Murrumbidgee River
Wagga WaggaCanberra
Mt Kosciuszko National Park and State Forest
H-pol
V-pol
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Research questions
How much of a SMOS pixel needs to be measured to get a reliable brightness temperature average?
How well do the SMOS L1c and L2 brightness temperatures agree with total coverage aircraft data?
How accurate is the SMOS L2 soil moisture product?
How well can we downscale SMOS data?
How well do our LSMs predict soil moisture variability at 1km resolution?
Can SMOS improve LSM prediction of soil moisture by data assimilation?
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Research questions
How much of a SMOS pixel needs to be measured to get a reliable brightness temperature average?
How well do the SMOS L1c and L2 brightness temperatures agree with total coverage aircraft data?
How accurate is the SMOS L2 soil moisture product?
How well can we downscale SMOS data?
How well do our LSMs predict soil moisture variability at 1km resolution?
Can SMOS improve LSM prediction of soil moisture by data assimilation?
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Fractional coverage required?
pixbtransb TT ,,ˆˆ
4K
fraction of total pixel area
SMOS 3dB pixel
Transect
10
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Fractional coverage required?
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Fractional coverage required?
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SMOS agreement with aircraft data?
H polarisation
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Level 1c evaluation: patch 9
H Polarisation V Polarisation
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Level 2 Tb evaluation: patch 3
H Polarisation V Polarisation
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Conclusions
Field campaigns for the validation of SMOS should typically aim to cover more than 50% of the SMOS pixel
Preliminary results show that SMOS brightness temperatures agree with aircraft data within spec for v-pol but need improvement in h-pol
Preliminary results show that SMOS L2 processing seems ok for the two pixels assessed
We are planning another campaign for Sept; you are welcome to participate
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Acknowledgments
3 participants each: CESBIO, Vrije Universiteit Amsterdam
2 participants each: Australian Bureau of Meteorology, Institute of Agrophysics Lublin,
1 participant each: Polish Institute of Technology and Life Science, University of Hamburg/Max-Planck-Institute, Technical University of Denmark
DECC, CSIRO (instrument loan and field assistance)
ESA (part financial support of European participants)Yanco Agricultural Institute (access to lab facilities
and accommodation)All farmers allowing access to their properties
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