Record Details
| Using Deep Learning for Tropical Cyclone Intensity Estimation | |||||||
| NTRS Full-Text: | Click to View [PDF Size: 2.3 MB] | ||||||
| Author and Affiliation: |
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| Abstract: | No abstract available | ||||||
| Publication Date: | Dec 11, 2017 | ||||||
| Document ID: |
20170011716
(Acquired Dec 14, 2017)
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| Subject Category: | METEOROLOGY AND CLIMATOLOGY | ||||||
| Report/Patent Number: | MSFC-E-DAA-TN49822 | ||||||
| Document Type: | Oral/Visual Presentation | ||||||
| Meeting Information: | American Geophysical Union (AGU) Meeting; 11-15 Dec. 2017; New Orleans, LA; United States | ||||||
| Meeting Sponsor: | American Geophysical Union; Washington, DC, United States | ||||||
| Contract/Grant/Task Num: | NNM11AA01A | ||||||
| Financial Sponsor: | NASA Marshall Space Flight Center; Huntsville, AL, United States | ||||||
| Organization Source: | NASA Marshall Space Flight Center; Huntsville, AL, United States | ||||||
| Description: | 17p; In English | ||||||
| Distribution Limits: | Unclassified; Publicly available; Unlimited | ||||||
| Rights: | Copyright; Public use permitted | ||||||
| NASA Terms: | TROPICAL STORMS; CYCLONES; WIND VELOCITY; ESTIMATING; MICROWAVE IMAGERY; NEURAL NETS; DATA ACQUISITION | ||||||
| Other Descriptors: | DEEP LEARNING; TROPICAL CYCLONE INTENSITY ESTIMATIO | ||||||