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SOED Ocean-Star Open Course Series (2019 Summer Course)

2019-06-12

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Prof. Knut Stamnes

Dr. Knut Stamnes is a professor at the Department of Physics, the Stevens Institute of Technology. He has served as a member of the NASA’s MODIS Science Team and JAXA’s (Japan Aerospace Exploration Agency) Second Generation Global Imager (SGLI) Science Team. Stamnes began his career in upper atmospheric physics, and has since specialized in atmospheric radiation, remote sensing, and climate-related studies. He developed a radiative transfer algorithm DISORT, which was adopted by hundreds of users world-wide and has been cited more than 3000 times. He is the principal author of two books on radiative transfer modelling and remote sensing, and has published more than 220 papers in renowned journals including Applied Optics, Optic Express and Geophysical Research Letters. He is now a member of the American Geophysical Union (AGU), American Meteorological Society (AMS) and American Physical Society. He was elected as a Fellow of the Optical Society of America in 2002.

Course: Forward and inverse radiative transfer modeling and applications in coupled atmosphere-surface systems

Language: English   

Time: 20th-24th June, 2019

Qualification to attend: M.S. and Ph.D. candidates, postdoctoral fellows, and junior scientists

Introduction: Radiative transfer model is the basis of satellite remote sensing. This SOED Ocean-Star Open Course will delve into the development, calculation and application of radiative transfer model, which contains the introduction to radiative transfer equation and model, AccuRT Radiative transfer modeling tool and some applications. The syllabus is given below.

Day 1: Introduction to forward radiative transfer in coupled atmosphere-surface systems

Day 2: Introduction to the AccuRT Radiative transfer modeling tool

Day 3: Theoretical background — Derivation of the radiative transfer equation for unpolarized radiation and extension of the theory to polarized radiation

Day 4: Introduction to the Inverse Problem — Optimal estimation and Machine learning using AccuRT as a forward model

Day 5: Examples of solutions to forward-inverse problems including applications to satellite remote sensing


Application Guideline


I. Qualification to Attend

M.S. and Ph.D. candidates, or young researchers

II. How to Apply

Please contact lijingjingsoed@126.com;

III. Application Deadline

Now to 18th Jun 2019;

V. Course Venue

Second Institute of Oceanography, Ministry of Natural Resources (No. 36 North Baochu Road, Xihu District, Hangzhou, China)

VI. Fee

The Open Courses of SOED are free. The attendants need only to cover their own accommodation and travel expenses.

VII. Contact Information

Contact Person: LI Jingjing    

Tel: 0571-81025890                 

Fax: 0571-88839374    

E-mail: lijingjingsoed@126.com