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Recent STILT work at Jena

Recent STILT work at Jena. Christoph Gerbig and Stefan Körner Max-Planck-Institute for Biogeochemistry. STILT users at Jena: K. Dhanyalekshmi, Kristina Trusilova, Ronald Macatangay (also at U. Bremen). STILT telecon April 4th 2007. Modifications to STILT.

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Recent STILT work at Jena

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  1. Recent STILT work at Jena Christoph Gerbig and Stefan Körner Max-Planck-Institute for Biogeochemistry STILT users at Jena:K. Dhanyalekshmi, Kristina Trusilova, Ronald Macatangay (also at U. Bremen) STILT telecon April 4th 2007

  2. Modifications to STILT • Uncertainties in vertical mixing propagated • Approach similar to Lin and Gerbig ’05 • Uncertainties comparable to uncertainties due to wind errors • Paper in prep. CO2 residuals (model-truth) CO2 biosph (GSB) Day in June 05 CO2 transport error (propagated)

  3. Modifications to STILT • VPRM preprocessor • input: configuration file “namelist” • Grid specifications (projection, limits) • Time frame • output: • EVI, LSWI & Vegetation map at desired resolution for one year (min) • netcdf format • Uses: Modis reflectances MOD09A1 from local database • Tool tells what tiles are required for downloading

  4. Modifications to STILT • Coupling hourly emission fluxes within Trajecvprm() • Emissions in netcdf format • “regridding” to coarser grids online • EDGAR emission converter • get.edgar() to create hourly fluxes at desired resolution (needs upgrade to create ncdf files)

  5. STILT plans at Jena • coupling to TM3 global model as Boundary Condition • TM3 runs using fluxes from inversions, coupled to Biome BGC • Check if nesting improves in forward runs • Nested inversions coupling STILT + TM3 adjoint • European nest for high resolution (~ 20 km) (Kristina Trusilova) • Tall tower data plus global network as input • STILT-WRF-VPRM for mesoscale inversions • At specific tall tower locations in Europe + aircraft data CERES

  6. Future: keeping STILT stable • Keeping STILT stable throughout development phases • Method: set of hymodelc test runs with a result control facility • How (suggestion): • @ Harvard Grid computer • each group provides a (set of) test runs with all required inputs • SK provides a fuzzy checker tool to compare PARTICLE.DATs as core of semi-automated verification (random off, can only check when results are not supposed to change) • developer should run one batch file only which is part of the STILT CVS repository itself • it takes f90 files from user (scp to local machine) and compiles, runs and compares on GRID

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