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9th IWW, Annapolis Advancements in scatterometer wind processing [email protected] Marcos Portabella Anton Verhoef Jeroen Verspeek Jur Vogelzang [email protected]
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Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

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Page 1: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Advancements in scatterometer wind processing

[email protected] Portabella

Anton VerhoefJeroen Verspeek

Jur Vogelzang

[email protected]

Page 2: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Wind ProductsQuikSCAT 100-km winds (OSI SAF)

Operational statusQuikSCAT 25-km winds (OSI SAF)

Operationtal statusASCAT 25-km winds (OSI SAF)

Pre-operational statusERS-2 winds (EARS)

Demonstration statusArchived wind and stress products

SoftwareWind processing software (NWP SAF)CMOD5: C-band GMFBUFR reader

R&D workActivitiesPublications

ProjectsOSI SAF: Global wind productsEARS: Regional wind productsCM SAF: Climatologic wind stress

productsNWP SAF: Wind processing softwareRFSCAT: Future scatterometer

concept

www.knmi.nl/scatterometer

Scatterometer work

The scatterometer is a satellite radar-instrument which provides a measure of wind speed and direction near the sea surface.

We develop scatterometer processing software for operational use in weather and marine forecasting. More information on this is available under the 'Software‘ links on the right hand side of this page.

To preview our near real-time products and obtain accessto them and our archive of off-line products, please follow the 'Wind Products' links.

Our activities are diverse and span •Research on new types of scatterometer for future use •Development of algorithms for wind retrieval and ice processing •Wind product processing, quality control, and monitoring •User support

Your contribution? We seek beta users for our software and data products in order to get feedback and improve our services. Workshops are planned where users are invited for updating the evolving requirements. Moreover, our developments are supported by a Visiting Scientist scheme, which funds exchange of people between institutes. Topics could include for instance: •Geophysical interpretation •Inversion or ambiguity removal •Data assimilation •User support Your suggested contributions are welcomed by us.

Acknowledgement

Page 3: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

EUMETSAT SAF activities• NWP Satellite Application Facility software

– AWDP available for beta testers (ERS and ASCAT)– SDP; beta testers welcome for new version – 2D-Var settings and NWP guidance– Coastal AWDP ( @25km, later 12.5 km )

• OSI Satellite Application Facility data and services– ASCAT Cal/Val– ASCAT demo 25 km since March 2007 (first MetOp L2 product) – ASCAT 12.5 km – run experimentally at KNMI– Coastal product prototype– Geophysical modelling and (NOAA hurricane hunter) air campaign– SeaWinds update evaluation (updated NOAA stream)

• Timely EARS data– ERS data– ASCAT; soon 25-km NH ascending orbits in 35 i.s.o. 100 minutes

• Climate Mon. SAF scatterometer ocean stress fieldsclimexp.knmi.nl

Page 4: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

KNMI ASCAT Level 1b corrections

Level 1b 1st release Level 1b latest release

Vertical cut for WVC #42

KNMI total correction

ASCAT measurements fit ocean GMF well after correction

Page 5: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

ASCATwinds

Very good overall wind statistics

Node: all

0 5 10 15 20Wind speed (m/s) − ECMWF

0

5

10

15

20

Win

d sp

eed

(m/s

) −

Z0.

625

N=3267229mx= 7.66 my= 7.64m(y−x)= −0.02 s(y−x)= 1.26cor_xy= 0.94

Node: all

0 90 180 270 360Wind dir (deg) − ECMWF

0

90

180

270

Win

d di

r (d

eg)

− Z

0.62

5

N=2792250mx= 177.72 my= 178.57m(y−x)= 0.86 s(y−x)= 14.94cor_xy= 0.99

Node: all

−20 −10 0 10 20U comp. (m/s) − ECMWF

−20

−10

0

10

20

U c

omp.

(m

/s)

− Z

0.62

5

N=3267229mx= −0.15 my= −0.26m(y−x)= −0.12 s(y−x)= 1.45cor_xy= 0.98

Node: all

−20 −10 0 10 20V comp. (m/s) − ECMWF

−20

−10

0

10

20

V c

omp.

(m

/s)

− Z

0.62

5

N=3267229mx= 0.78 my= 0.73m(y−x)= −0.05 s(y−x)= 1.62cor_xy= 0.95

Page 6: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

ASCAT L2 calibration• ASCAT winds first MetOp-A L2 product• Winds within spec• ERS compatibility can be achieved• New swath parts provide good winds, but

CMOD5.5 may be biased• After ASCAT L1b calibration, the z correction

table should be removed from AWDP and remaining biases incorporated in CMOD6

• Further L1b calibration, using 3-transponder data, will not result in L2 wind discontinuities

• AWDP checks ongoing: Kp’s, MLE, P(V)’s, etc. • Parallel L2 streams for neutral winds (+0.2 m/s)

Page 7: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Input(σ0 values)

Pre-processing

Inversion

Quality Control

Ambiguity Removal

Quality Monitoring Outputwind field

NWPmodel

Processing SCAT, SeaWinds, ASCAT

MSS (144) < 4 solutions

2D Var AR

Page 8: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

SeaWinds Data Processor

100-km 25-km, MSS

4 solutions Full wind PDF

Page 9: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

10°N

15°N

55°W

10°N

15°N

55°W

S

SeaWinds @ 25km, Hurricane Dean, 16 Aug 2007

Without MSS With MSSretrieval of 4 local solutions full wind vector PDF

Page 10: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Improved coldfront

QC betterAroundrain

NOAA/NASAMedian Filter AR

KNMI2D-Var AR

Wind directioncontinuity

Balance in rotationand divergence

Page 11: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

ERS scatterometerobserves wave trainHiRLAM model (and other NWP models) miss the wave train (too smooth)The MSG clouds are aligned with the wave train, but in themselves provide little dynamical information

Next day a forecast bust occurred for cloud and precipitation in England and the Netherlands

HiRLAMERSERS QC

Page 12: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

kRC

kG

kT

k -2

-3

W

25% wind variancedifference

4 times lesswind variance

Half of wind variance

10.000 1000 100 10Wave Number [km]

Loga

rithm

Win

d S

pect

ralD

ensi

ty[-]

300 km

Page 13: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Buoy verification

Collocation result - speed (2476 wind vectors)

0 5 10 15 20 25Buoy wind speed (m/s)

0

5

10

15

20

25

Sca

ttero

met

er w

ind

spee

d (m

/s)

0 5 10 15 20 250

5

10

15

20

25Collocation result - direction (2176 wind vectors)

0 90 180 270 360Buoy wind direction (deg)

0

90

180

270

360

Sca

ttero

met

er w

ind

dire

ctio

n (d

eg)

0 90 180 270 3600

90

180

270

360

70°S 70°S

60°S60°S

50°S 50°S

40°S40°S

30°S 30°S

20°S20°S

10°S 10°S

0°0°

10°N 10°N

20°N20°N

30°N 30°N

40°N40°N

50°N 50°N

60°N60°N

70°N 70°N

160°W

160°W 140°W

140°W 120°W

120°W 100°W

100°W 80°W

80°W 60°W

60°W 40°W

40°W 20°W

20°W 0°

0° 20°E

20°E 40°E

40°E 60°E

60°E 80°E

80°E 100°E

100°E 120°E

120°E 140°E

140°E 160°E

160°E

2.002.191.831.841.791.76

SD v[m/s]

SD u[m/s]

SD v[m/s]

SD u[m/s]

SD v[m/s]

SD u[m/s]

SeaWinds 100SeaWinds 25ASCAT 25First resultsASCAT 25 comparesbest to ECMWF alsoECMWF misses 1,2 m/s w.r.t. ASCATFor SeaWinds, 100km best representsECMWF winds

Page 14: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

6-hourly ECMWF update

ECMWF analysis increments are modest wrt spatial deficitMost mesoscale scatterometer information remains unexploited

Page 15: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

6-hourly wind change

Ocean forcing is dominated by transient or temporal effectsCan eddy-scale ocean forcing be provided at hourly scale ?2D-VAR provides scatterometer analyses; can the incrementsbe advected in time? Topic in MyOcean

Page 16: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

EU Marine Core Services through MyOcean :Thematic Assembly Centers (TAC)

• TACs will feed the global and regional components of the MCS in observation products for space and in situ data.

• From observation systems to the service centres. Specific requirements from modelling and data assimilations centers as well as from users and downstream services.

Marine Core ServicesSpace

Groundsegments

RegionalM/F Centers

DownstreamservicesGlobal

M/F Center

TACs MCSdelivery

In situNetworks

Users

Page 17: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

50-km resolution backscatter averagingWind Vector CellHamming filter averaging window

100 km

100 km

25 km

25 km

Coa

stlin

e

10 km

Satellite across-track direction

Sate

llite

alo

ng-

trac

k di

rect

ion

Hamming filter

ASCAT Level 2 product:

• 50 km resolution

• up to 60 km off the coast

to avoid land effects

ASCAT Coastal product:

• 30-40 km resolution

• up to 25 km off the coast

• σ° more noisy, so MSS

Page 18: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Way forward• NH ascending ASCAT winds will be delivered in 35

minutes • Geophysical modelling improvements and (NOAA

hurricane hunter) air campaign are ongoing• Prototypes on higher resolution ASCAT winds (12.5 km)

and for winds nearer to the coast exist• KNMI provides a wind product independent of the

SeaWinds input (updated NOAA stream)• The ASCAT full resolution product is required in NRT• ISRO SCAT at 12 LST nicely complements SeaWinds at

6 LST and ASCAT at 9:30 LST for providing temporally-resolved eddy-scale ocean winds

• Global NRT backscatter (L2A) products would be greatly appreciated from ISRO to aid in a timely exploitation

Page 19: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

www.knmi.nl/scatterometer

Page 20: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

First ASCAT winds

• Now the work starts . . .

Page 21: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Is this noise or geophysical variability?

– Spectral analysis– Triple collocation of buoy, NWP, and

scatterometer winds (in progress)

Page 22: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Validation against ECMWFNode: 42

0 5 10 15 20Wind speed (m/s) − ECMWF

0

5

10

15

20

Win

d sp

eed

(m/s

) −

Z0.

625

N= 12783mx= 7.07 my= 6.45m(y−x)= −0.62 s(y−x)= 1.37cor_xy= 0.91

Node: 42

0 90 180 270 360Wind dir (deg) − ECMWF

0

90

180

270

Win

d di

r (d

eg)

− Z

0.62

5

N= 10588mx= 170.58 my= 171.24m(y−x)= 0.66 s(y−x)= 17.53cor_xy= 0.98

Node: 42

−20 −10 0 10 20U comp. (m/s) − ECMWF

−20

−10

0

10

20

U c

omp.

(m

/s)

− Z

0.62

5

N= 12783mx= −0.41 my= −0.49m(y−x)= −0.09 s(y−x)= 1.55cor_xy= 0.97

Node: 42

−20 −10 0 10 20V comp. (m/s) − ECMWF

−20

−10

0

10

20

V c

omp.

(m

/s)

− Z

0.62

5

N= 12783mx= −0.01 my= −0.00m(y−x)= 0.01 s(y−x)= 1.74cor_xy= 0.93

Node: 42

0 5 10 15 20Wind speed (m/s) − ECMWF

0

5

10

15

20

Win

d sp

eed

(m/s

) −

Z0.

625

N= 12782mx= 7.08 my= 7.16m(y−x)= 0.08 s(y−x)= 1.47cor_xy= 0.90

Node: 42

0 90 180 270 360Wind dir (deg) − ECMWF

0

90

180

270

Win

d di

r (d

eg)

− Z

0.62

5

N= 10588mx= 170.24 my= 170.58m(y−x)= 0.34 s(y−x)= 16.08cor_xy= 0.99

Level 1b demo version

KNMI corrected

Page 23: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

ASCAT winds• Better quality than ERS winds• Stable product• Files called “t” for test; flagged as unuseful• MLE’s not yet normalised to ASCAT noise• QC not yet tuned• No product monitoring flag yet• Winds being added for QC-ed WVCs• Much feedback at [email protected] Thanks!

Buoy monitoring in collaboration with ECMWF in progress12.5 km product under test; MSS neededCoastal product under developmentImproved geophysical validationGuidance for data assimilation using 2D-Var

Page 24: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

User issues• Keep ASCAT test status while stable product ?• ASCAT - ERS continuity absolutely needed ?• Provide winds in case of flags whenever possible:

inversion QC and 2D-VAR spatial check• Demo hi-resolution and/or coastal products for

distribution ?• L2 stress product required or only software and guide

?• Archive data format in BUFR/NetCDF/HDF• Accessibility and compatibility of archives at

EUMETSAT, PODAAC• User requirements MyOcean Wind TAC ? : higher

level wind products to spatially and temporally contain eddy-scale winds (SAG/OVWST presentation)

Page 25: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Less speed bias

Lower direction SD

WVC speed and direction sensitivities

vary

ASCAT vs ECMWF Wind Speed

0 10 20 30 40WVC Number

−2.0

−1.5

−1.0

−0.5

0.0

0.5

Scat

t. −

Mod

el S

peed

(m

/s)

ASCAT vs ECMWF Wind Direction

0 10 20 30 40WVC Number

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el W

ind

Dir

ectio

n (d

eg)

ASCAT vs ECMWF Wind Speed

0 10 20 30 40WVC Number

1.2

1.4

Scat

t. −

Mod

el S

peed

(m

/s)

ASCAT vs ECMWF Wind Direction

0 10 20 30 40WVC Number

10.0

12.0

14.0

16.0

18.0

20.0

Scat

t. −

Mod

el W

ind

Dir

ectio

n (d

eg)

Page 26: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

QuikSCAT vs ECMWF Wind Speed

0 5 10 15 20 25Model Speed (m/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

0.0

5.0

10.0

15.0

20.0

Num

ber

of o

bser

vatio

ns (

%)

ASCAT vs ECMWF Wind Speed

0 5 10 15 20 25Model Speed (m/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

0.0

5.0

10.0

15.0

20.0

Num

ber

of o

bser

vatio

ns (

%)

QuikSCAT/ASCAT vs ECMWFDataset: 1-5 July 2007

Page 27: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

QuikSCAT vs ECMWF Wind Speed

0 5 10 15 20 25Scatt. Speed (m/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

0.0

5.0

10.0

15.0

20.0

Num

ber

of o

bser

vatio

ns (

%)

ASCAT vs ECMWF Wind Speed

0 5 10 15 20 25Scatt. Speed (m/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

−4.0

−2.0

0.0

2.0

4.0

Scat

t. −

Mod

el S

peed

(m

/s)

0.0

5.0

10.0

15.0

20.0

Num

ber

of o

bser

vatio

ns (

%)

QuikSCAT/ASCAT vs ECMWFDataset: 1-5 July 2007

Page 28: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Node: all

0 5 10 15 20Wind speed (m/s) − ECMWF

0

5

10

15

20

Win

d sp

eed

(m/s

) −

Z0.

625

N=4540535mx= 7.50 my= 7.26m(y−x)= −0.24 s(y−x)= 1.49cor_xy= 0.91

Node: all

0 90 180 270 360Wind dir (deg) − ECMWF

0

90

180

270

Win

d di

r (d

eg)

− Z

0.62

5

N=3855708mx= 177.46 my= 177.88m(y−x)= 0.42 s(y−x)= 14.12cor_xy= 0.99

Node: all

−20 −10 0 10 20U comp. (m/s) − ECMWF

−20

−10

0

10

20

U c

omp.

(m

/s)

− Z

0.62

5

N=4540535mx= 0.23 my= 0.13m(y−x)= −0.10 s(y−x)= 1.60cor_xy= 0.97

Node: all

−20 −10 0 10 20V comp. (m/s) − ECMWF

−20

−10

0

10

20

V c

omp.

(m

/s)

− Z

0.62

5

N=4540535mx= 0.74 my= 0.70m(y−x)= −0.04 s(y−x)= 1.58cor_xy= 0.96

QuikSCAT vs ECMWF

Page 29: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

ASCAT vs ECMWFNode: all

0 5 10 15 20Wind speed (m/s) − ECMWF

0

5

10

15

20

Win

d sp

eed

(m/s

) −

Z0.

625

N=2305231mx= 7.59 my= 7.55m(y−x)= −0.05 s(y−x)= 1.28cor_xy= 0.94

Node: all

0 90 180 270 360Wind dir (deg) − ECMWF

0

90

180

270

Win

d di

r (d

eg)

− Z

0.62

5

N=1965456mx= 177.57 my= 177.86m(y−x)= 0.29 s(y−x)= 15.75cor_xy= 0.99

Node: all

−20 −10 0 10 20U comp. (m/s) − ECMWF

−20

−10

0

10

20

U c

omp.

(m

/s)

− Z

0.62

5

N=2305231mx= 0.23 my= 0.11m(y−x)= −0.12 s(y−x)= 1.52cor_xy= 0.97

Node: all

−20 −10 0 10 20V comp. (m/s) − ECMWF

−20

−10

0

10

20

V c

omp.

(m

/s)

− Z

0.62

5

N=2305231mx= 0.75 my= 0.72m(y−x)= −0.03 s(y−x)= 1.62cor_xy= 0.96

Page 30: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

FTPServer

Product Generation Services – Wind Production Centre at KNMI, De Bilt, The Netherlands

EPS data via EUMETCast

OSI SAF Operational Service Architecture (Subsystem 3)

Input Services at KNMI, The Netherlands

NWP modeloutput data

GTS/RMDCN

Subsystem 2at met.no, Norway

Produce Global10-m Wind Vectors

Output Services at KNMI, De Bilt

Distribute the data Archive and retrieve the data (interim)

EPS data via EUMETCast

Local NOAAdata viaHRPT

GOES-Eastvia GVAR

Local NOAAdata viaHRPT

MSG Data viaEUMETCast

Subsystem 1at Météo-France,

Lannion

SeaWinds

FTP

Close

EUMETCast distribution

Visualise finalproducts

InteractiveTools

Satellite datapre-processing

Scheduled by the Kernel (operational)

Product Generation Service (Operational)

Input Services (operational)

Service Data Delivery and Access (operational)

Other OSI SAF SubsystemWeb

Server

GTS

Page 31: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

OSI SAF ASCAT product release schedule

20112009GlobalCoastal 12.5 km

20092008Global12.5 km

20082007Global25 km

OperationalDemonstration

CoverageProduct

* Integration of regional EARS products into global OSI SAF products in 2008

Page 32: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

KNMI SeaWindsexperimental

25 km resolution

June 8, 2006,12:00 UT

www.knmi.nl/scatterometer

Page 33: Advancements in scatterometer wind processingcimss.ssec.wisc.edu/iwwg/workshop9/ext_abstracts/5... · 2008. 4. 28. · U comp. (m/s) − ECMWF −20 −10 0 10 20 U comp. (m/s) −

9th IWW, Annapolis

Monitoring of each product• 1st rank

MLE• Speed bias• RMS u&v

scat - EC• Timeliness

• NWP SAF integrated monitoring at www.metoffice.gov.uk/research/interproj/nwpsaf/scatter_report