Disaggregation of passive microwave data and assimilation into distributed hydrological models: The National Airborne Field Experiment (NAFE’05/06) Jetse.

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Disaggregation of passive microwave data and assimilation into distributed hydrological models: The National Airborne Field Experiment (NAFE’05/06) Jetse Kalma et al., The University of Newcastle, Australia, Gilles Boulet, Patricia de Rosnay et al., CESBIO, France, Jeffrey Walker et al., The University of Melbourne, Australia

Concept Fly at several altitudes over catchments whose size is of the order of one SMOS/AMSR pixel, Leading to microwave datasets at different resolutions, Taking the advantage of intensive surface soil moisture measurement campains as well as a long term automatic ground monitoring…

Objectives Development and test of: –soil moisture retrieval algorithms from airborne passive microwave data at several nested scales, with emphasis on several aspects (AMSR/SMOS, different vegetation covers, multiangle flights, dew, topography) –downscaling strategies for retrieval of surface soil moisture at paddock scale –assimilation strategies of the disaggregated surface soil moisture product at local scale into a coupled land surface/hydrology model and performance assessment using continuous streamflow and soil moisture data at several locations throughout the catchment

The NAFE catchments 2 australian catchments: –Goulburn river / November 2005 –Yanco and Kyemba Creek / November 2006 Strong climate variability (from subhumid to semiarid)

Vegetation and soils Mostly black clays + sandstones Open woodlands (south half + northern ridges), crops (barley, wheat, oats, lucern), native and improved grass

Automatic measurements + Dew sensors TIR sensors Started in 2002 Run until end of 2007 Weather stations (4) Soil moisture stations (20) Streamflow gauges (7)

1 km 500m 250m 62.5m PLMR Flights PLMR resolutions

1 month flights schedule

surface soil moisture meas. campaign 5 cm capacitive probe GIS + GPS

Nested grids surface SM measurements

PLMR 62.5 m resolution 02/11/ /11/2005

Disagregation strategy Airborne brightness temperatures will be averaged over the whole catchment to produce SMOS-like data Then paddock-scale surface SM will be derived using both approaches: –Deterministic approach: based on energy balance and radiative transfer model inversions and projections (Merlin et al., 2005) –Stochastic approach: based on internal variability per land use type (Faivre et al., 1996)

Modelling strategy inputs = climate etc outputs = vertical fluxes coupling NDVI TIR TBh, TBv Vertical fluxes Lateral redistribution Hydrological model input = infiltration outputs = runoff + Saturation zones dynamics Soil-Vegetation-Atmosphere + Radiative Transfer models coupling TOPMODEL+KINEROS models ICARE + radiative transfer schemes

Data Assimilation strategy inversed airborne SM at paddock scale will be assimilated in the coupled hydrological model its impact on streamflow and root zone SM prediction will be assessed using the network of automatic stations the same work will be carried out for the disaggregated surface SM products since the automatic ground monitoring will still be available in 2007, this work can be carried out for SMOS real data even if ground surface SM campaigns are not scheduled beyond 2006

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