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

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Presentation on theme: "1 INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM."— Presentation transcript:

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2 1 INM’s contribution to ELDAS project E. Rodríguez and B. Navascués INM

3 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

4 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

5 4 Subgrid runoff (Dumenil & Todini, 1992)

6 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

7 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)

8 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

9 8 Tiling versus no tiling

10 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

11 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]

12 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.

13 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

14 13 Number of effective soil moisture corrections

15 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.

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17 16 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.

18 17 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.

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21 20 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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