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INM’s contribution to ELDAS project

INM’s contribution to ELDAS project. E. Rodríguez and B. Navascués INM. Outline. Latest modifications in the HIRLAM surface package (assim.+param.) Work on progress 3 planned experiments: REF,ELD,SVA, (TIL?) Definition of REF experiment Preliminary exercise (HIRLAM TR No.59)

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INM’s contribution to ELDAS project

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  1. INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM

  2. Outline • Latest modifications in the HIRLAM surface package (assim.+param.) • Work on progress • 3 planned experiments: REF,ELD,SVA, (TIL?) • Definition of REF experiment • Preliminary exercise (HIRLAM TR No.59) • Evaluation strategy • Physiography: ECOCLIMAP • Time schedule

  3. Latest modifications of the HIRLAM surface package (assim.+param.) • Explicit treatment of soil water freezing/thawing • Re-computation of structure functions for T2m and RH2m analyses • New snow depth analysis based on OI • Additional tile for snowed bare and low vegetation surfaces (use of predictive equations for snow albedo, density. Freezing/thawing of water retained by snow) • Subgrid run-off (consequence of RhoneAggr Experiment) • Tuning of Zo for certain land uses

  4. Subgrid runoff (Dumenil & Todini, 1992)

  5. Work on progress • Implementation of the SVA assimilation of soil moisture (Balsamo) on the HIRLAM system: preliminary tests • Tests with the new physiographic database ECOCLIMAP in the HIRLAM environment

  6. 3 planned experiments • REF • ELD: same as REF but with soil moisture generated by CNRM • SVA: same as REF but with SVA assimilation of soil moisture (Gianpaolo)

  7. Definition of the REF experiment (I) • Latest reference HIRLAM version (6.2.0) + Some of the improvements in the pipeline • No tiles (acceptable degradacion!) • Both HIRLAM and the soil moisture generator model (CNRM) should use the same physiography. Ideally the CNRM should produce vegetation and soil fields (from ECOCLIMAP?) for both models • Grid geometry? HIRLAM usually runs on a rotated grid. Minimize (or suppress) horizontal interpolations! ARPEGE grid  HIRLAM grid using closest grid point for both climate files (ECOCLIMAP) and SWI

  8. Tiling versus no tiling

  9. Definition of the REF experiment (II) • 3D-VAR assimilation, 6h cycling • Lateral Boundaries: ECMWF analysis • 0.2ºx0.2ºx31L • SL timestep • Domain? DMR? • 48h forecast from 00 (or 12) UTC analysis only

  10. Parallel runs (H5.1.1) • Comparison against version 5.1.1, using DMR (0.5 degrees, 31L, ECMWF area) • Summer case (1-15 July 1995) • Winter case (1-14 Jan. 1996) • Fall case (1-15 Oct. 1994) • Spring case (12-28 April 1998) [thanks to Simo Järvenoja]

  11. Preliminary exercise close to the REF experiment • Seasonal assimilation experiment (Apr.95Apr.96) mainly designed to assess the long term behaviour of the surface HIRLAM package (param+ assim). • See HIRLAM Tech.Rep.No.59 (available from HIRLAM web page) • Time evolution of slow evolving variables and diagnostic tools to assess performance of the surface analysis. • Also topics as convergence of the assimilation algorithm and evolution of different tiles within a grid square are thoroughly discussed.

  12. Explore subgrid evolution Possibly and depending on our resources, we’ll run a 4th experiment with tiling structure: same as REF, but including the same land tiles as in the HIRLAM reference system

  13. Number of effective soil moisture corrections

  14. Evaluation strategy for the 3 experiments • Soil moisture evolution (over the whole domain, over Europe, over specific regions) • Study of soil moisture analysis increments • Near surface maps (T2m, RH2m) of monthly averaged bias, rms error • Verification scores against surface stations (T2m, RH2m) and radiosoundings. • Surface heat fluxes • Single grid point diagnostics • Compare ELDAS products (precip., radiation and heating rates) with the corresponding HIRLAM fields.

  15. ECOCLIMAP database(Masson et al., 2003) (I) • Global and high resolution dataset (1-km). • Detailed information over Europe coming from CORINE and PELCOM projects. • Use of full resolution maps of the vegetation index NDVI to provide the appropiate temporal and spatial scales. • 215 ecosystems allowing a better assignement of vegetation parameter sets. (90 over Europe) • Use of aggregation rules to derive surface parameters at the desired model resolution and for mixed ecosystem pixels. • It allows the tiling approach, as used by the HIRLAM surface scheme.

  16. Topics for discussion on ECOCLIMAP database(Masson et al., 2003) (II) • It is highly sophisticated as compared with the current HIRLAM physiographic description and it allows many possible choices • Vegetation parameters (veg, lai, Zoh, Zom, alb, Rsmin, frac, emis, ...) with monthly or decennial (10 days) frequency. • Compatible with tiling. • Not yet enough tested in HIRLAM system. • Straightforward usage for lat/lon coordinates.

  17. Time schedule • First trial for 3 experiments (REF, ELD and SVA) (1-6 June 2000) (Dec. 2003) • May  Dec 2000 with REF exp. started (Dec. 2003) • May  Dec 2000 with SVA exp. started (Jan. 2003) • May  Dec 2000 with ELD exp. (?)

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