AWRA-L and CABLE modelled Tb using CMEM
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1 AWRA-L and CABLE modelled Tb using CMEM Luigi Renzullo, Ben Gouweleeuw, Albert van Dijk A water information R & D alliance between the Bureau of Meteorology and CSIRO s Water for a Healthy Country Flagship CSIRO Land & Water
2 Microwave brightness temperature modelling Add microwave brightness temperature (Tb) modelling component to AWRA-L Forward model Tb from AWRA-L top-layer surface soil moisture estimates Observation model to assimilate Tb s (V/H polarisations) Investigation into use of satellite Tb as an indirect verification for modelled soil moisture estimates over large parts of the continent. AWRA-L Vs CABLE surface soil moisture MDB study area; Jan-Feb, Sep 2010 AACESS field campaign across MBG
3 Modelled soil moisture fields from: CABLE Community (CSIRO?) Atmosphere- Biosphere-Land Exchange model Land surface model (LSM) Use in NWP models & GCM Feeds into: BoM ACCESS coupled model Design principle: Climate and earth system simulator modelling energy, water & carbon cycles Does hydrology well? Okay, but getting better (Haverd & Cuntz, 2010: J Hydrol., doi: /j.hydrol ) AWRA-L Australian Water Resources Assessment model Landscape Hybrid LSM & lump catchment model Focus on water balance Developed for: BoM national water accounts Design principle: Comprehensive spatial water balance, with national coverage & local usefulness Does hydrology well? Yes, and getting better (van Dijk & Warren, 2010: WfHC Tech Report; vandijk & Renzullo, 2011: HESS, doi: /hess )
4 AWRA-L version 0.5 Spatial structure: grid based, variable resolution daily time step fractions of hydrological response units (HRUs) Forcing: precipitation & short-wave radiation (~5km blended station-satellite products) optional: other atmospheric variables (currently temperature) short-wave short-wave radiation radiation minimum minimum temperature temperature maximum maximum temperature temperature precipitation precipitation Processes 3 unsaturated stores (simplified Richards scheme) Linear groundwater and surface water stores ET: Penman-Monteith or Priestley- Taylor; limited by root water uptake Vegetation cover adjustment towards equilibrium (potential transpiration = water uptake) fraction fraction deep-rooted deep-rooted vegetation vegetation available energy ET ET maximum transpiration maximum root uptake vegetation adjustment surface soil shallow root zone deep root zone ground water saturated area surface water
5 CMEM almost off-the-shelf runs for MDB Community Microwave Emission Model (CMEM) ECMWF M. Drusch, T. Holmes, P. de Rosnay, et al. Built on LSMEM and L-MEB; Tb modelling 1-20 GHz Attraction: one package to test different soil dielectric, surface roughness, & veg OD models Parameterisation for the Murray-Darling Basin (MDB) Models (follows de Rosnay et al, 2009: J Geophys. Res., 114,D05108) Soil dielectric: Mironov et al Veg opacity: Kirdyashev et al Spatial inputs (static/slowly evolving) % sand & clay Soils atlas (McKenzie & Hook) Geopotential: Enhanced STRM DEM (Gallant et al, CSIRO Land & Water) Veg type: IGBP Faction low & high veg: Donohue et al., 2009: Glob. Change Biol., 15(4), LAI: MOD15A2 monthly averages Dynamic inputs Tair: Modelled from Tmin/max interoplated surfaces (AWAP) CABLE - Tskin, Tsoil (x3), SM (x3) soil layer thickness: 2.2, 5.8, 7 cm.
6 Modelled TbV Jan & Feb 2010 AMSR-E (A ~2 pm) AMSR-E (D ~2 am) CMEM software (ECMWF) Vertically-polarized brightness Temperatures (Tb) from CABLE SM 5-km resolution MIRAS (~6 am) 1 Jan 28 Feb 2010
7 Tb_V (K) Comparison with AMSR-E Tb s Catchment average Tb (modelled & observed) for Murrumbidgee 1 Jan 28 Feb 2010 CMEM AMSR-E
8 Comparison with AMSR-E Tb s pm EST Difference in AMSR-E & CMEM modelled Tb_V RMSE = 15.2 K MAD = 3.0 K Bias = K SD = 2.9 K Obs Model
9 Land surface temperature a) :00:00 EST (a) CABLE LST Complete/continuous coverage Hindered by poor model inputs (b) MTSAT-1R LST Retrieved product Gappy in spatial & temporal coverage b) UTC
10 Microwave brightness temperature modelling Next steps CMEM modelled Tb from AWRA-L soil moisture Process AMSR-E and MIRAS Tb observations Experiment with some different inputs (e.g. MTSAT-1R LST s) and parameterisations Comparisons with in situ (modelled L-band Tb) & PLMR across the Murrumbidgee Down the track Sensitivity to different static & dynamic model inputs Soil profile temperature and moisture fields Strip down CMEM components for incorporation into AWRA-L
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