Title: Scatterometer Winds
1Scatterometer Winds
- An Operational Perspective
Andrew Burton BoM (WA) Based on a presentation by
Roger T. Edson and Jeff Hawkins
2Scatterometer Winds
- Sources of scatterometer data and how they differ
- Good data
- Bad data
- Getting Good from Bad
3Conclusions - a sneak peek
- Provides coverage over data sparse areas.
- Wind speeds generally good useful for areas of
gales etc. - Use the data if it makes sense.
- Be aware of low skill areas and different
ambiguity removal processes (compare!). - Do not use in isolation.
4Where to Get Scatterometer Data
- NRL Monterey
- http//kauai.nrlmry.navy.mil80/sat-bin/tc_home
- NOAA/NESDIS QuikSCAT http//manati.wwb.noaa.gov/q
uikscat - FNMOC
- http//www.fnmoc.navy.mil/PUBLIC
- Remote Sensing Systems
- http//www.ssmi.com
5Where to Get Scatterometer Data
- NRL Monterey
- http//kauai.nrlmry.navy.mil80/sat-bin/tc_home
- NOAA/NESDIS QuikSCAT
- http//manati.wwb.noaa.gov/quikscat
- Storms page includes ambiguities
- http//manati.wwb.noaa.gov/cgi-bin/qscat_storm.p
l - Alternative NOAA site, with SSMI wind
speeds - http//polar.wwb.noaa.gov/winds/globdata.html
- FNMOC
- http//www.fnmoc.navy.mil/PUBLIC
- Remote Sensing Systems
- http//www.ssmi.com
6NRL Monterey http//kauai.nrlmry.navy.mil80/sat
-bin/tc_home
7NOAA/NESDIS QuikSCAT http//manati.wwb.noaa.gov/q
uikscat
8FNMOChttp//www.fnmoc.navy.mil/PUBLIC
FNMOC Ambiguity Removal over SSMI
Near Real-Time Ambiguity Removal
9Remote Sensing Systemshttp//www.ssmi.com
10Differences
- Wind retrieval
- RSS uses KU-2000 wind retrieval method
- Others use QuikSCAT1 wind retrieval method
- Rain Flags
- Generally Multidimensional Histogram (MUDH)
procedure a statistical method based on
noisiness of data - RSS has similar approach though it is less
conservative and hence rain affected areas are
often smaller
11Rain Flags MUDH vs RSS
RSS
Less Coverage
TC Ando
FNMOC-NOGAPS
FNMOC-NRT
Same Coverage
12- Ambiguity Removal
- FNMOC Near Real Time (NRT) plots and others use
the US AVN model to nudge the selection
process. - FNMOC Ambiguity Removal over SSMI plots use
NOGAPS - Solutions buddy-checked with median filter
- Must pick one of these solns
13- FNMOC NRT
- Ambiguity removal - AVN
- FNMOC over SSMI
- Ambiguity removal - NOGAPS
04/02/02 0220Z
14- Ambiguity Selection
- NOAA/NESDIS use rain flagged data in ambiguity
selection process - FNMOC does not rain flagged data is put in as
is after ambiguity removal.
15What is it GOOD for?
- Detection of circulations and determination of
windspeeds.
X
09/04/02 0922Z TC Bonnie in its early stages.
Note gales on the southern side.
16Small system (X) could be followed for 3 days
--no help from NWP model
20S
170W
170W
O
O
X
X
X
O
25 Jan 1800Z 26 Jan 0517Z
26 Jan 1800Z
170W
160W
170W
160W
O
X
O
27 Jan 1712Z
28 Jan 0427Z
17What is it GOOD for?
- Location of fronts/troughs.
- Wind speeds in data sparse areas.
18When is it BAD?
- Edge of swath ( 7 wind vector cells)
- Rain effects
- Sensitivity to errors in NWP
- Practical wind regime 5-45 m/s (problems with
both very light and very strong winds) - Resolution (25km) impact in tight gradients
- Ambiguity Removal Process and rain flag process
can affect final solution
19Edge Problems
Along the whole edge or small
portion
FNMOC DISPLAY
20Rain Flags
RSS
TC Chris 05/02/02 0937Z
Rain flagged areas
NRL
21Typical Rain Patterns
Rain effects Cross swath vectors Higher wind
speeds
Some intense rain not flagged
RSS slide
22Rain Effects
One or two bad wind solutions may affect
neighboring wind vector cells through
buddy-checking system causing a rain contagion
effect.
TC Chris 05/02/02 0937Z
Direction of swath
Rain block direction perpendicular to swath Do
not use direction speed may be OK
23Rain Effects
Default direction seems to be perpendicular to
the swath direction
24Errors in NWP
TC Guillaume 19/02/02 1341Z
Wrong Model Position?
25Getting Good Stuff From Bad
- Sort the good from the bad
- Streamline method
- Isotach method
- Comparing different solutions
26Rain Effects tear drop
In tear drop shapes try to position using the
curvature outside of the rain block
region. Usually found closer to the curve vs.
pointed side. Look for good north-south winds.
27Streamlines
TC Chris 03/02/02 0914Z
Beware of winds perpendicular to the swath, even
when they are not flagged
X
Look for non-rain flagged winds
28Isotachs
TC Chris 04/02/02 1002Z
X
Look for min speed near centre
29Comparing Different Solutions
FNMOC-NOGAPS
FNMOC-NRT
30Where is TC HUDAH?No circulation!
Try to fix in trough equator-ward of the
strongest winds
?
Max Winds 95 knots
31Model initialisation errors
In this case, poor model initialization combined
with a lower skill nadir position, picks proper
wind speed, but NO circulation center
20/2356Z
AVN 19/12Z tau 24
(Light winds?) -----low skill
c
10S
c
10S
?
Max Wind 55 KTS
?
20S
TC Paul
20S
32Analysis Methods - Summary
- Ignore the bad - streamline the good
- Tear-drop curved end
- TCs equatorward side of max wind
- Compare different solutions
- Isotach method ignore direction
33Conclusions
- Provides coverage over data sparse areas
- Wind speeds generally good useful for areas of
gales etc - Use the data if it makes sense
- Be aware of low skill areas and different
ambiguity removal processes (compare!) - Do not use in isolation