Applications of simulated GOES-R observations for advanced product development for mesoscale weather forecasting

Lewis Grasso; Manajit Sengupta; Mark DeMaria

doi:10.1117/12.564466

15 September 2004 Applications of simulated GOES-R observations for advanced product development for mesoscale weather forecasting

Lewis Grasso, Manajit Sengupta, Mark DeMaria

Author Affiliations +

Proceedings Volume 5549, Weather and Environmental Satellites; (2004) https://doi.org/10.1117/12.564466
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

In preparation for future satellites, we have developed a method to simulate satellite observations using a cloud-scale numerical model and radiative transfer models. In short, a numerical cloud model was used to simulate mesoscale weather events, including severe storms and tropical cyclones. A second model was used to calculate the brightness temperatures of the clear and cloud sky scenes from the model simulations. This procedure allows for advanced product development for severe weather (precipitation estimation, updraft diagnosis products) and tropical cyclones (intensity estimation). The development of products in advance of the satellite launch extends the useful life of the satellite system. Examples of this method for a severe storm case will be presented.

Citation Download Citation

Lewis Grasso, Manajit Sengupta, and Mark DeMaria "Applications of simulated GOES-R observations for advanced product development for mesoscale weather forecasting", Proc. SPIE 5549, Weather and Environmental Satellites, (15 September 2004); https://doi.org/10.1117/12.564466

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available