FR2-T04-5_A_synergy_between_smos_and_aquarius.ppt

A synergy between SMOS & AQUARIUS: resampling SMOS maps at the resolution and incidence of AQUARIUS Eric A NTERRIEU , Yann K ERR , François C ABOT , Gary L AGERLOEF and David L E V INE

[object Object],SMOS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1

[object Object],AQUARIUS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2

Why resampling? ,[object Object],[object Object],[object Object],3

How to interpolate? ,[object Object],[object Object],[object Object],[object Object],4 T(  ,  ) =  T( u , v ) e +2j  ( u  + v  ) u , v  H  T (  ,  ) =  W( u , v ) T( u , v ) e u , v  H +2j  ( u  + v  ) w  

Kaiser window: 1 parameter s ,[object Object],[object Object],[object Object],5 u v    = 1 W( u , v ) = I 0 (  ) I 0 (   1    ² ) 

Kaiser window: 1 parameter s ,[object Object], = 3  = 10 spatial domain W(  ,  ) 5 u v    = 1 W( u , v ) = I 0 (  ) I 0 (   1    ² )  Fourier domain W( u , v ) 

How to interpolate? ,[object Object],[object Object],[object Object],[object Object],6 T (  ,  ) =  W( u , v ) T( u , v ) e u , v  H +2j  ( u  + v  ) w   T (  ,  ) =  W ( u , v ) T( u , v ) e   u , v  H +2j  ( u  + v  ) w  

Kaiser window: 3 parameters ,[object Object],[object Object],7 u v  1  2    1  2  = 1   =  1 + (  2   1 )    1  2   1 W( u , v ) = I 0 (  ) I 0 (   1    ² ) 

Kaiser window: 3 parameters ,[object Object], 1 = 0°  1 = 3  2 = 10  1 = 30°  1 = 10  2 = 3 spatial domain W(  ,  ) 7 W( u , v ) = I 0 (  ) I 0 (   1    ² )  u v  1  2    1  2  = 1  Fourier domain W( u , v ) 

Optimization of the multiple windows ,[object Object],[object Object],8 incidence angle resolution a  b orientation  28.7° 37.8° 45.6° 1 94  76 Km 120  84 Km 156  96 Km  1 9.8°  15.3°  1 6.5° a b 

Optimization of the multiple windows ,[object Object],9   @ instrument level cross track distance (Km) along track distance (Km) @ Earth surface

Optimization of the multiple windows ,[object Object], 1  1  2 local azimuth angle (deg) local azimuth angle (deg) local azimuth angle (deg) 10  =  1 + (  2   1 )    1  2   1 W( u , v ) = with I 0 (  ) I 0 (   1    ² ) 

Optimization of the multiple windows ,[object Object],[object Object], 1  1  2 local azimuth angle (deg) local azimuth angle (deg) local azimuth angle (deg) 10

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],T x @ 28,7° T x @ 37,8° T x @ 45,6° 11

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],T y @ 28,7° T y @ 37,8° T y @ 45,6° 11

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],geometric @ 28,7° geometric @ 37,8° geometric @ 45,6° 12

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],faraday @ 28,7° faraday @ 37,8° faraday @ 45,6° 12

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],T h @ 28,7° T h @ 37,8° T h @ 45,6° 13

Concrete illustration ,[object Object],[object Object],[object Object],[object Object],T v @ 28,7° T v @ 37,8° T v @ 45,6° 13

Conclusion ,[object Object],[object Object],[object Object],14

FR2-T04-5_A_synergy_between_smos_and_aquarius.ppt

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FR2-T04-5_A_synergy_between_smos_and_aquarius.ppt