Satellite Wind Vectors from GOES Sounder Moisture Fields

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Satellite Wind Vectors from GOES Sounder Moisture
Fields

• Iliana Genkova, Chris Velden, Steve Wanzong
• NOAA-NESDIS, Madison, WI
• UWisconsin / CIMSS, Madison, WI

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• GOES I-M Sounder Moisture Fields
• Ma, X.L., Schmit, T. J., Smith, W. L.,1998 A
  Nonlinear Physical Retrieval AlgorithmIts
  Application to the GOES-8/9 Sounder, , JAM,
  Vol.38, No5, pp.501513.
• SFOV Temperature and Moisture (RH, Td) Profiles
  
• 1h temporal and 10km SFOV spatial resolution
  constant pressure images
• 40 pressure levels between 1000 and 0.1 mb
• CIMSS satellite-derived wind algorithm (Velden
  at al., 2005)
• Different from the WV Imager and Sounder winds
  !!!

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(No Transcript)
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GOES Sounder spatial coverage
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GOES Sounder constant pressure Td images 19
January 2006 , 1046 UTC , 500mb
Raw image Median 3x3
filter Constant pressure level Td images
eliminate the AMV height assignment
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GOES Sounder constant pressure Td images 19
January 2006 , 1046 UTC , 500mb
Targets
Wind Vectors Constant pressure
level Td images eliminate the AMV height
assignment
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Example 1 5 December 2003 (ATReC) , Raw winds
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Example 1 5 December 2003 (ATReC) , Raw winds
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Example 1 5 December 2003 (ATReC) , QI gt50
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Example 1 5 December 2003 (ATReC) , QI gt70
1200 UTC
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Example 1 RAOBS vs. Sounder Moisture Winds
RAOBS Sounder Moisture Winds
1200 UTC
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Example 1 RAOBS vs. Sounder Moisture Winds
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Example 1 Sounder vs. RAOBS Moisture Winds
5 December 2003
(ATReC Case), 12 UTC N Mean Bias (m/s) VRMS
(m/s) All winds 207 -7.15 17.03 Low
winds 36 -2.81 14.67 Mid winds 108 -7.18 1
5.97 High winds 63 -9.58 19.81 QI
50 N Mean Bias (m/s) VRMS (m/s) All
winds 57 -2.33 14.88 Low winds 7 -2.31 16.
00 Mid winds 35 -3.86 14.04 High
winds 15 1.22 16.17 Low 1000 - 700mb
Mid 699 - 400mb High 399 - 100mb
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Example 1 Sounder vs. RAOBS Moisture Winds
5 December 2003
(ATReC Case), 12 UTC N Mean Bias (m/s) VRMS
(m/s) All winds 207 -7.15 17.03 Low
winds 36 -2.81 14.67 Mid winds 108 -7.18 1
5.97 High winds 63 -9.58 19.81 QI
70 N Mean Bias (m/s) VRMS (m/s) All
winds 30 -1.51 12.39 Low winds 3 -2.00 12.
10 Mid winds 17 -3.95 12.09 High
winds 10 2.77 12.96 Low 1000 - 700mb
Mid 699 - 400mb High 399 - 100mb
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Simulated vs. Derived Moisture Retrieved Winds
19 January 2006 Pressure levels (mb) to be
compared 950 (931), 920 (878), 850 (827), 780
(777), 700 (729), 670 (683), 620 (596,639), 570
(555), 500 (515), 475 (477), 430 (441), 400
(374, 407), 350(343)
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Example 2 19 January 2006, Raw winds
1200 UTC
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Example 2 19 January 2006, Raw winds
1200 UTC
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Example 2 19 January 2006, QI gt 50
1200 UTC
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Example 2 19 January 2006, QI gt 70
1200 UTC
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Example 2 RAOBS vs. Sounder Moisture Winds
RAOBS Sounder Moisture Winds
1200 UTC
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Example 2 RAOBS vs. Sounder Moisture Winds
RAOBS Sounder Moisture Winds
1200 UTC, 500mb
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Example 2 Sounder vs. RAOBS Moisture Winds
19 January 2006, 12
UTC N Mean Bias (m/s) VRMS (m/s) All
winds 336 -2.90 14.72 Low winds 114 -0.19
12.58 Mid winds 143 -0.75 13.43 High
winds 79 -10.72 19.17 QI 50 N Mean Bias
(m/s) VRMS (m/s) All winds 178 -0.48 14.83
Low winds 42 2.51 13.78 Mid
winds 91 2.81 12.69 High winds 45 -9.97 19
.15 Low 1000 - 700mb Mid 699 - 400mb
High 399 - 100mb
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Example 2 Sounder vs. RAOBS Moisture Winds
19 January 2006, 12
UTC N Mean Bias (m/s) VRMS (m/s) All
winds 336 -2.90 14.72 Low winds 114 -0.19
12.58 Mid winds 143 -0.75 13.43 High
winds 79 -10.72 19.17 QI 70 N Mean Bias
(m/s) VRMS (m/s) All winds 87 1.30 12.28
Low winds 9 0.53 10.89 Mid
winds 50 5.34 11.82 High winds 28 -5.65 13
.46 Low 1000 - 700mb Mid 699 - 400mb
High 399 - 100mb
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Example 2 Search box size and statistics 19
January 2006 Search box size 7x11 N Mean Bias
(m/s) VRMS (m/s) All winds 468 -1.76
8.54Low winds 157 -1.47 8.48Mid
winds 209 -0.54 8.00High winds
102 -4.72 9.66Search box size
11x19 All winds 336 -2.90 14.72Low
winds 114 -0.19 12.58Mid winds 143 -0.75 13
.43High winds 79 -10.72 19.17 Low 1000 -
700mb Mid 699 - 400mb High 399 - 100mb
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Example 2 Sounder vs. Operational WV Winds
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Example 2 AMV and moisture
Scenes with low moisture but enough gradient
allow deriving AMV
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• Future work
• Test varying search box size with altitude
• Apply the wind retrieval to Mixing Ratio
• constant pressure images
• Further verification with Wind Profiling Radar
  data
• Implement the code in real time
• Produce long term statistics
• Perform model impact studies
• Initiate data assimilation collaboration

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Fin!
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GOES Sounder Profile Retrieval Basic Principles
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GOES 8 Sounder weighting functions
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GOES 8 Sounder spectral bands
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Example 1 AMV and moisture
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Example 2 Sounder vs. Operational Derived Winds