Robotics & Machine Learning Daily News2024,Issue(Nov.11) :73-74.

Researchers from Nanjing University Report Details of New Studies and Findings I n the Area of Machine Learning (Improved Snow Depth Retrieval Over Arctic Sea Ic e From Fy-3 Satellites Using Machine Learning and Its Future Scenario Projection )

南京大学的研究人员报告了机器学习领域的新研究和发现的细节(利用机器学习和未来情景预测从风云三号卫星上改进的北冰洋积雪深度反演)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :73-74.

Researchers from Nanjing University Report Details of New Studies and Findings I n the Area of Machine Learning (Improved Snow Depth Retrieval Over Arctic Sea Ic e From Fy-3 Satellites Using Machine Learning and Its Future Scenario Projection )

南京大学的研究人员报告了机器学习领域的新研究和发现的细节(利用机器学习和未来情景预测从风云三号卫星上改进的北冰洋积雪深度反演)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道研究称,NewsRx记者源于中华人民共和国南京的报道,“海冰顶部的积雪通过减少能量,在北极的热量和能量平衡中发挥着至关重要的作用大气和海洋之间的转移。本文提出了一种改进的雪深反演方法微波辐射计(MWRI)数据对北极多年冰(MYI)的模拟Fengyun-3(FY-3)系列卫星使用确定的最佳机器学习方法。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Nanjing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Snowpack atop sea ice plays a vital role in the Arctic heat and energy balance by reducing the energytransfer between the atmosphere and the ocean. This study presents an im proved snow depth retrievalmodel over Arctic multiyear ice (MYI) from the Micro wave Radiometer Imager (MWRI) data of theFengyun-3 (FY-3) series satellites usi ng the optimal machine learning approach identified.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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