Global Data Assimilation for the Carbon Cycle: challenges ... - JULES
Global Data Assimilation for the Carbon Cycle: challenges ... - JULES
Global Data Assimilation for the Carbon Cycle: challenges ... - JULES
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<strong>Global</strong> <strong>Data</strong> <strong>Assimilation</strong> <strong>for</strong> <strong>the</strong> <strong>Carbon</strong> <strong>Cycle</strong>:<strong>challenges</strong>, progress and <strong>the</strong> futureMODIS Leaf Area Index (LAI)Above-ground Biomass (AGB)NASASaatchi et al. 2011How can we constrain regional C flux estimatesusing satellite observations of <strong>the</strong> terrestrial C cycle?Mat Williams & Anthony Bloom
MODIS LAI time seriesNASA GSFC
FLUXNET Sites, EC data comparison - preliminary resultsDALEC NEEWoody SavanaFLUXNET EC data208 FLUXNET SitesGrasslandDeciduous Broadleaf ForestInternational comparison - This studyhas been per<strong>for</strong>med within <strong>the</strong>FLUXCOM project framework
Gross Primary Production (GPP)<strong>Global</strong> DALEC MDF• <strong>Assimilation</strong> time: 2001-2010• Resolution: Daily - 1°x 1°• GPP mean = 103 ± 19 Pg C yr -1GPP UncertaintyGPP – gC m 2 day -1GEOCARBONa.bloom@ed.ac.uk
Gross Primary Production - Comparison2001-2010DALECFigure adapted from Beeret al. 2010GEOCARBON
DALEC GPP – GOSAT Fluorescence comparison (r-value)GOSAT Fluorescence, Frankenberg et al., 2011GEOCARBONa.bloom@ed.ac.uk
Nominal soil turnover rates
Adjusted soil turnover rates
<strong>Global</strong> Parameter CorrelationsGEOCARBONa.bloom@ed.ac.uk
Summary and Conclusions1. Fluxes and stocks can be constrained from MODISLAI2. <strong>Global</strong> implementation of DALEC with ecological anddynamic constraints: GPP, AGB and SOM totalsencouraging, GPP and AGB spatially resolve keybiomes.3. Parameter estimation indicates in<strong>for</strong>mation content ofassimilated data4. Non-steady state solutions, emergent PFTs5. NEXT: Integrate AGB maps and fluorescence aspriors; include parameter correlations from TRYdatabase6. Observing System Simulation Experiments canquantify in<strong>for</strong>mation content of EO concepts
CARDAMOM w/ <strong>JULES</strong>?CARbon DAta MOdel FraMeworkMODEL<strong>JULES</strong>DATASatellitePlant trait dataFluxNet<strong>Carbon</strong>StateDRIVERS<strong>Global</strong>RegionalField SitesOPTIMIZATIONM.H. MCMCEnKF4D-VAR
Testing Parameter estimationat 10 AmeriFlux SitesTesting DALEC &ecological/dynamicalconstraintsBiomes: Tropical, Subtropical,Temperate,Arctic.Plant Functional Types:Forests, Crops,Grasslands, Shrublands,Woody Savanna.
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