科技报告详细信息
Deepti: Deep Learning-Based Tropical Cyclone Intensity Estimation | |
Maskey, Manil ; Ramachandran, Rahul ; Miller, J J ; Gurung, Iksha ; Freitag, Brian M ; Bollinger, Drew ; da Silva, Daniel ; Molthan, Andrew ; Hain, Christopher ; Cecil, Dan | |
关键词: CYCLONES; ELECTRONIC EQUIPMENT; MODELS; REAL TIME OPERATION; SITUATIONAL AWARENESS; TROPICAL STORMS; ACTUATORS; DEPLOYMENT; DESIGN ANALYSIS; | |
RP-ID : MSFC-E-DAA-TN63448 | |
学科分类:地球科学(综合) | |
美国|英语 | |
来源: NASA Technical Reports Server | |
【 摘 要 】
We present the development of a deep learning model for objective estimation of tropical cyclone intensity at a higher temporal frequency, deployment of the model in production, design and implementation of the tropical cyclone monitoring and intensity estimation system and development of an interactive portal for situational awareness and evaluation of intensity estimation.【 预 览 】
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20180008812.pdf | 13952KB | download |