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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. WP 2100 – precipitation. RR - 3 and 12-hour Gauge-adjusted accumulated precipitation.

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eldas activities at smhi rossby centre 2nd progress meeting

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

rr 3 and 12 hour gauge adjusted accumulated precipitation
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
new doctor
New Doctor!

Quality Control of Weather Radar Data for Quantitative Application

Daniel Michelson

September 2003

d33 baltic sea basin
D33) Baltic Sea Basin

D34) Swedish Basins

slide8

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

slide9

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)
slide10

Monthly Precipitation

Torpshammar Total, 2000-2002

Differences (RADAR-PTHBV)

slide11

Daily differences - spatial dependence (2000-2002)

(similar patterns for individual years)

torpshammar summary
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”)

what s next
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
more what s next
more What’s Next?
  • Baltic Basin runoff generation and river discharge (WP 3200)
  • European VIC application!
european vic application
European VIC application

(Variable Infiltration Capacity Model)

cooperation with University of Washington

why eurovic
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??
details of eurovic 1
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?)
details of eurovic 2
Details of EuroVIC - 2
  • river routing included
  • databases of natural river flow preferred! (who has these?)