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