12月9日(木)  15:00 -- 16:00  黄 思訓(南京大学、中国)
           ``Inverse Problems in the Atmospheric Sciences and VAR Techniques''

＜研究発表要旨＞
Inverse Problems in the Atmospheric Sciences and VAR Techniques
    (項 傑との共同研究)
    We deal with inverse problems in atmospheric sciences and oceanography, 
and introduces the powerful methods to treat these problems; variational data
assimilation(VAR), and discusses some essential difficulties in VAR. Due to 
the ill-posedness of these problems, the regularization method is also applied,
i.e., additional terms are added to the cost functional as a stabilized
functional with physical meaning. The following inverse problems are treated, 
such as inversion of sea temperature model, inversion of parameters in an ENSO
cycle model, variational adjustment of 3-D wind field, inversion of wind field
with single-Doppler data, and inversion of satellite remote sensing, and the 
results indicate that, adoption of the regularization method in variational 
data assimilation, will overcome the ill-posedness, constrain calculational 
oscillations in iteration, and speed up convergence of solutions.