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Modelling and data-intensive science methods to understand substorm-driven energy deposition into the polar atmosphere

Modelling and data-intensive science methods to understand substorm-driven energy deposition into the polar atmosphere
建模和数据密集型科学方法来了解亚暴驱动的能量沉积到极地大气中
批准号:
2109171
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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英文摘要
Space Weather describes environmental conditions in space that can have an impact on Earth, and severe Space Weather is listed as one of the highest priority natural hazards in the UK Government's National Risk Register. Conditions in Earth's magnetosphere are constantly changing over the substorm cycle: a build-up and explosive release of magnetic flux and energy from the interaction between the solar wind and the planetary field. At substorm onset, much of this energy makes its way toward the polar regions, dissipating into the upper atmosphere as changes in Earth's radio emissions (intensifications and frequency changes) and changes in the brightness and morphology of auroral emissions are associated with this varying energy deposition.This project will use i) sophisticated modelling to extract relevant energy parameters from years of data from auroral cameras operated by Southampton's Space Environment Physics group in the high Arctic, ii) develop novel computing methods to automate the process of analysing decades of spacecraft observations of radio emissions, to select the features which characterize energy deposition, iii) simulate the changing visibility of radio and auroral emissions from orbiting spacecraft, to quantify the sensitivity of the datasets to the observation location.
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Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: