1. ELDAS activities at SMHI/Rossby Centre – 2nd Progress Meeting L. Phil Graham Daniel Michelson Jonas Olsson Åsa Granström Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

2. WP 2100 – precipitation

3. RR - 3 and 12-hour Gauge-adjusted accumulated precipitation Characteristics: 2 x 2 km horizontal resolution 3 and 12-hour temporal resolution 32-bit depth Uses corrected gauge observations 3-hour covers BALTRAD area 12-hour covers BALTEX Region Continuous production

4. New Doctor! Quality Control of Weather Radar Data for Quantitative Application Daniel Michelson September 2003

5. Verification of Dynamic Correction Model (DCM) with 1-hr forcing Jokioinen, Finland

6. WP 5400 – Baltic demo basins

7. D33) Baltic Sea Basin D34) Swedish Basins

8. Comparison of Areal Precipitation Estimates by Gauges and Radar: A Case Study for a Central Swedish Catchment Jonas Olsson, Barbro Johansson, Daniel Michelson Swedish Meteorological and Hydrological Institute SE-601 76 Norrköping, SWEDEN

9. Torpshammar Basin Data: PTHBV: interpolated gauge data RADAR: gauge-adjusted radar data Daily accumulations 2000-2002 in a 4  4 km grid (589 nodes) Catchment: Area: 4 300 km² Mean annual prec.: 700 mm Mean altitude: 340 m.a.s.l. (range 20-540 m.a.s.l.)

10. Monthly Precipitation Torpshammar Total, 2000-2002 Differences (RADAR-PTHBV)

11. Daily differences - spatial dependence (2000-2002) (similar patterns for individual years)

12. Daily differences - intensity dependence

13. Runoff simulation (HBV model)

14. GA radar data reproduce well the gauge-observed mean rainfall for 2002, but less accurately in 2000 and 2001. GA radar data contain temporal and spatial inhomogeneities, possibly related to (i) changes in the operation and/or (ii) unstable functionality of the instruments. Spatial pattern of differences indicates a consistent overestimation by the GA radar data located north-west of the catchment (Östersund). High mean rainfall intensities are often underestimated and low intensities overestimated by the GA radar data. Catchment runoff estimated by GA radar data is distinctly overestimated in the first half of the period, but accurate during 2002. (“GA” = “gauge-adjusted”) Torpshammar Summary

15. What’s Next? more fair test against forecast conditions event-based analysis Glafsfjorden basin compare to ELDAS precipitation database compare soil moisture for different driving P fields and against ELDAS generated fields compare runoff

16. more What’s Next? Baltic Basin runoff generation and river discharge ( WP 3200 ) European VIC application!

17. European VIC application (Variable Infiltration Capacity Model) cooperation with University of Washington

18. Why EuroVIC? independent source of spatially distributed soil moisture sets a climate perspective for SM additional verification (e.g. evapotranspiration) routed river flow over Europe from ELDAS models??

19. Details of EuroVIC - 1 ELDAS grid (0.2° x 0.2°) climate based 1980?-2002? focus on ELDAS period 1999-2000 common databases where possible (e.g. ERA-40, ECOCLIMAP) higher resolution orography (SRTM?)

20. Details of EuroVIC - 2 river routing included databases of natural river flow preferred! (who has these?)

21. old map

22. European map