eldas activities at smhi/rossby centre – 2nd progress meeting l. phil graham daniel michelson...
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![Page 1: ELDAS activities at SMHI/Rossby Centre – 2nd Progress Meeting L. Phil Graham Daniel Michelson Jonas Olsson Åsa Granström Swedish Meteorological and Hydrological](https://reader035.vdocuments.site/reader035/viewer/2022070409/56649e7a5503460f94b7b207/html5/thumbnails/1.jpg)
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 precipitationCharacteristics:• 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!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 InstituteSE-601 76 Norrköping, SWEDEN
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Torpshammar Basin
Data:• PTHBV: interpolated gauge data• RADAR: gauge-adjusted radar data• Daily accumulations 2000-2002 in a 44 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.)
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Monthly Precipitation
Differences (RADAR-PTHBV)
-100
-50
0
50
100
150
J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D
(mm
)
Gimån, 2000-2002
0
50
100
150
200
250
300
350
J F M A M J J A S O N D J F M A M J J A S O N D J F M A M J J A S O N D
(mm
)
PTHBV RADAR
Torpshammar Total, 2000-2002
Differences (RADAR-PTHBV)
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Daily differences - spatial dependence (2000-2002)
(similar patterns for individual years)
-0,4
-0,2
0
0,2
0,4
0,6
0,8
1
1,2
1,4
1436000 1456000 1476000 1496000 1516000 1536000 1556000
West-East (m)
Dif
fere
nc
e (
mm
)
(RA
DA
R-P
TH
BV
)
0
50
100
150
200
250
300
350
400
450
Altitu
de
(m.a
.s.l.)
Difference Altitude
0
0,2
0,4
0,6
0,8
1
1,2
1,4
1,6
6932000 6944000 6956000 6968000 6980000 6992000 7004000
South-North (m)
Dif
fere
nc
e (
mm
)
(RA
DA
R-P
TH
BV
)
0
50
100
150
200
250
300
350
400
Altitu
de
(m.a
.s.l.)
Difference Altitude
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Daily differences - intensity dependence2000
-10
0
10
20
30
0 10 20 30 40 50 60
PTHBV (mm)
Dif
fere
nce
(m
m)
(RA
DA
R-P
TH
BV
)
2001
-30
-20
-10
0
10
20
0 10 20 30 40 50 60 70
PTHBV (mm)
Dif
fere
nce
(m
m)
(RA
DA
R-P
TH
BV
)
2002
-10
-5
0
5
10
0 5 10 15 20 25
PTHBV (mm)
Dif
fere
nce
(m
m)
(RA
DA
R-P
TH
BV
)
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Runoff simulation (HBV model)Input: PTHBV
0
200
400
600
00-01-01 00-07-01 01-01-01 01-07-01 02-01-01 02-07-01
Dis
char
ge
(mm
)
HBV OBSERVED
Input: RADAR
0
200
400
600
00-01-01 00-07-01 01-01-01 01-07-01 02-01-01 02-07-01
Dis
char
ge
(mm
)
HBV OBSERVED
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• 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
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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
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more What’s Next?
• Baltic Basin runoff generation and river discharge (WP 3200)
SN
QRG
SNF
SNM
QDR
wd
dwdz
RAF
ws
RATHR
• 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