Retrieval of hydrometeors from microwave radiances with a polarized radiative transfer model

Journal of Earth system science

A Sarkar2¹  M Deiveegan1²  R M Gairola1²  S P Venkateshan1²  C Balaji1²  V K Agarwal2¹ 

[1] Meteorology and Oceanography Group, Space Applications Centre, ISRO Ahmedabad, India.$$;Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, India.$$

关键词: Radiative transfer model;    plane parallel atmosphere;    polarization;    hydrometeors;    retrievals;    microwave radiances.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

This paper reports the results of a Bayesian-based algorithm for the retrieval of hydrometeors from microwave satellite radiances. The retrieval technique proposed makes use of an indigenously developed polarized radiative transfer (RT) model that drives a data driven optimization engine (Bayesian) to perform retrievals of rain and other hydrometeors in a multi-layer, plane parallel raining atmosphere. For the sake of completeness and for the purposes of comparison, retrievals with Artificial Neural Networks (ANN) have also been done. Retrievals have been done first with a simplified two-layer atmosphere, where assumed values of hydrometeors are given to the forward model and these are taken as ‘measured radiances’. The efficacy of the two retrieval strategies is then tested for this case in order to establish accuracy and speed. The highlight of the work is however, the case study wherein a tropical storm in the Bay of Bengal is taken up, to critically examine the performance of the retrieval algorithm for an extreme event wherein a 14-layer realistic, raining atmosphere has been considered and retrievals are done against Tropical Rainfall Measuring Mission (TRMM) measured radiances. The key novelties of the work are:inclusion of polarization from both hydrometeors and oceans in the RT model, and

【 授权许可】

Unknown