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The Swedish Weather Radar Production Chain. Daniel Michelson Swedish Meteorological and Hydrological Institute. Focus on: Higher-order products Quality improvements Quality characterization. SWERAD. Operated jointly between SMHI and Swedish Armed Forces - PowerPoint PPT Presentation
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The Swedish Weather Radar Production ChainThe Swedish Weather Radar Production Chain
Daniel MichelsonDaniel Michelson
Swedish Meteorological and Hydrological InstituteSwedish Meteorological and Hydrological Institute
Focus on:Focus on:
Higher-order productsHigher-order products
Quality improvementsQuality improvements
Quality Quality
characterizationcharacterization
Vilebo, formerly
Norrköping
SWERADSWERAD Operated jointly between SMHI Operated jointly between SMHI
and Swedish Armed Forcesand Swedish Armed Forces
12 Ericsson C-band Doppler 12 Ericsson C-band Doppler
radarsradars
Almost complete national Almost complete national
coveragecoverage
NORDRADNORDRAD
http://nordrad.net/
Finland, Sweden, NorwayFinland, Sweden, Norway
Estonia associate memberEstonia associate member
Special arrangement with Special arrangement with
DenmarkDenmark
Established in late 1980'sEstablished in late 1980's
Organized as an operational Organized as an operational
NORDMET activityNORDMET activity
R&D internationally organized R&D internationally organized
as NORDMET Radar as NORDMET Radar
Applications (NORA) activityApplications (NORA) activity
Constitutes the backbone of Constitutes the backbone of
Swedish productionSwedish production
BALTRADBALTRAD
NORDRAD+NORDRAD+
All of POLRADAll of POLRAD
Peripheral German radarsPeripheral German radars
Netherlands (wind profiles)Netherlands (wind profiles)
Baltic Sea ExperimentBaltic Sea Experiment
BALTEX Radar Data Centre at BALTEX Radar Data Centre at
SMHISMHI
R&D onlyR&D only
Test environment for Test environment for
operational implementationsoperational implementations
Meteosat 8 (MSG)Meteosat 8 (MSG)
Cloud type product from Cloud type product from NWC SAF: 4 km, 15 minNWC SAF: 4 km, 15 min
4 cloud-free classes4 cloud-free classes
No surrogate for good No surrogate for good Doppler, but better than Doppler, but better than nothingnothing
Operational since March Operational since March 11
Improvements possible Improvements possible using quality flags in using quality flags in satellite product?satellite product?
*Spin-off from: Michelson D.B. and Sunhede *Spin-off from: Michelson D.B. and Sunhede
D., 2004: Spurious weather radar echo D., 2004: Spurious weather radar echo
identification and removal using multisource identification and removal using multisource
temperature information. temperature information. Meteorol. Appl.Meteorol. Appl. 11, 11,
1-14 1-14
last Tuesday, 18 UTClast Tuesday, 18 UTC
QC using operational QC using operational satellite products*satellite products*
QC using operational QC using operational satellite products*satellite products*
*Spin-off from: Michelson D.B. and Sunhede *Spin-off from: Michelson D.B. and Sunhede
D., 2004: Spurious weather radar echo D., 2004: Spurious weather radar echo
identification and removal using multisource identification and removal using multisource
temperature information. temperature information. Meteorol. Appl.Meteorol. Appl. 11, 11,
1-14 1-14
Meteosat 8 (MSG)Meteosat 8 (MSG)
Cloud type product from Cloud type product from NWC SAF: 4 km, 15 minNWC SAF: 4 km, 15 min
4 cloud-free classes4 cloud-free classes
No surrogate for good No surrogate for good Doppler, but better than Doppler, but better than nothingnothing
Operational since March Operational since March 11
Improvements possible Improvements possible using quality flags in using quality flags in satellite product?satellite product?
Accumulated precipitationAccumulated precipitation
Generated using filtered compositesGenerated using filtered composites
Simplified version of the BALTRAD gauge-Simplified version of the BALTRAD gauge-
adjustment technique*adjustment technique*
1 hour, 2 km, 32 bits1 hour, 2 km, 32 bits
Uses 12-hour SYNOP gauge Uses 12-hour SYNOP gauge
accumulations at 6 and 18 UTCaccumulations at 6 and 18 UTC
*Koistinen J. and Michelson D.B., 2002: BALTEX weather radar-based precipitation products and their*Koistinen J. and Michelson D.B., 2002: BALTEX weather radar-based precipitation products and their
accuracies. accuracies. Boreal Env. Res.Boreal Env. Res. 7(3), 253-263 7(3), 253-263
thesholded at 0.1 mmthesholded at 0.1 mm
Operational gauge-Operational gauge-
radar relationsradar relations
Derived every 12 hours, using Derived every 12 hours, using
systematically corrected systematically corrected
SYNOP gauge observations*SYNOP gauge observations*
F = 10 x log(G/R)F = 10 x log(G/R)
2nd-order polynomial fit 2nd-order polynomial fit
against surface distance, with against surface distance, with
some QCsome QC
Coefficients are archived and Coefficients are archived and
can be used with reflectivities, can be used with reflectivities,
rainrates, and accumulationsrainrates, and accumulations
The arrival of spring!The arrival of spring!*Michelson D.B., 2004: Systematic *Michelson D.B., 2004: Systematic
correction of precipitation gauge correction of precipitation gauge
observations using observations using
analyzed meteorological variables. analyzed meteorological variables. J. J.
Hydrol.Hydrol. 290, 161-177 290, 161-177
Swedish-Norwegian mountainsSwedish-Norwegian mountains
30 July 200630 July 2006
1-hr accumulation ending 15:00 UTC1-hr accumulation ending 15:00 UTCPhoto: BanverketPhoto: Banverket
ÖstersundÖstersund TrondheimTrondheim
Quality indicator image stored Quality indicator image stored
in HDF5 product file along with in HDF5 product file along with
coefficients, allows fully coefficients, allows fully
reversible adjustment reversible adjustment
procedure for quality procedure for quality
characterization.characterization.
OPERA Quality OPERA Quality
FrameworkFramework
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