ELDAS activities at SMHIRossby Centre 2nd Progress Meeting

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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
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WP 2100 precipitation
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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

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New Doctor!
Quality Control of Weather Radar Data for
Quantitative Application Daniel
Michelson September 2003
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Verification of Dynamic Correction Model (DCM)
with 1-hr forcing
Jokioinen, Finland
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WP 5400 Baltic demo basins
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D33) Baltic Sea Basin
D34) Swedish Basins
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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
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Torpshammar Basin

• Catchment
• Area 4 300 km²
• Mean annual prec. 700 mm
• Mean altitude 340 m.a.s.l. (range 20-540
  m.a.s.l.)

• Data
• PTHBV interpolated gauge data
• RADAR gauge-adjusted radar data
• Daily accumulations 2000-2002 in a 4?4 km grid
  (589 nodes)

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Monthly Precipitation
Torpshammar Total, 2000-2002
Differences (RADAR-PTHBV)
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Daily differences - spatial dependence (2000-2002)
(similar patterns for individual years)
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Daily differences - intensity dependence
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Runoff simulation (HBV model)
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Torpshammar Summary

• 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)
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Whats 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

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more Whats Next?

• Baltic Basin runoff generation and river
  discharge (WP 3200)

• European VIC application!

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

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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?)

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Details of EuroVIC - 2

• river routing included
• databases of natural river flow preferred! (who
  has these?)

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old map
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European map