Calibration and Cleaning of Magnetic Satellite Data

磁卫星数据的校准和清理

基本信息

  • 批准号:
    NE/H003991/1
  • 负责人:
  • 金额:
    $ 2.63万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2010
  • 资助国家:
    英国
  • 起止时间:
    2010 至 无数据
  • 项目状态:
    已结题

项目摘要

The geomagnetic field is a fundamental and very useful property of the Earth, both in practical terms (for navigation, industrial applications and resource exploration) and in academic terms, for what it can tell us about various parts of the Earth - particularly the evolution of Earth's core, the structure of the Earth's crust and history of global tectonics, and also the motion of the oceans. It is also a major component in our protection from harmful space radiation. In order to use and understand the field, a first step is to produce mathematical models of it. The best models are made using data from low-Earth orbiting satellites; a particular new opportunity is about to become available with the launch of the European Space Agency mission Swarm, a dedicated magnetic measurement mission consisting of three satellites flying in a particular configuration optimised to tell us about the field. The majority of the geomagnetic field comes from within the Earth, but sources above the Earth also make a contribution - this is 'noise' when trying to model the main field of the Earth. In this project, we will develop new methodologies of better dealing with this noise, so as to use data from Swarm to produce more accurate and higher resolution models of the geomagnetic field.
地磁场是地球的一个基本和非常有用的属性,无论是从实用角度(用于导航、工业应用和资源勘探),还是从学术角度,因为它可以告诉我们关于地球不同部分的信息--特别是地核的演化、地壳结构和全球构造的历史,以及海洋的运动。它也是我们防止有害空间辐射的一个重要组成部分。为了使用和理解这个领域,第一步是建立它的数学模型。最好的模型是使用低地球轨道卫星的数据制作的;一个特别的新机会即将随着欧洲航天局任务群的发射而出现,这是一个专门的磁性测量任务,由三颗以特定配置飞行的卫星组成,经过优化可以告诉我们关于这个领域的信息。地球磁场的大部分来自地球内部,但地球上方的来源也有贡献--当试图对地球主场进行建模时,这是一种“噪音”。在这个项目中,我们将开发更好地处理这种噪声的新方法,以便使用Spot的数据来产生更准确和更高分辨率的地磁场模型。

项目成果

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Alan Thomson其他文献

Exclusion, inclusion and belonging in mainstream and disability sport: Jack’s story
主流和残疾人运动中的排斥、包容和归属感:杰克的故事
An ultrastructural investigation of dermatopontin‐knockout mouse corneas
皮桥蛋白敲除小鼠角膜的超微结构研究
  • DOI:
    10.1111/j.0959-9673.2004.0390r.x
  • 发表时间:
    2004
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Leanne J. Cooper;A. Bentley;I. Nieduszynski;N. Fullwood;T. Ellis;Alan Thomson;A. Utani;H. Sinkai;G. Brown
  • 通讯作者:
    G. Brown
Development and experimental validation of a hydraulic design and control philosophies for 5<sup>th</sup> generation district heating and cooling networks
  • DOI:
    10.1016/j.energy.2024.132835
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Orestis Angelidis;Daniel Zinsmeister;Anastasia Ioannou;Daniel Friedrich;Alan Thomson;Ulrich Ganslmeier;Gioia Falcone
  • 通讯作者:
    Gioia Falcone
Regulatory mechanisms and the role of calcium and potassium channels controlling supercontractile crop muscles in adult <em><em>Phormia regina</em></em>
  • DOI:
    10.1016/j.jinsphys.2013.06.010
  • 发表时间:
    2013-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Paolo Solari;John G. Stoffolano;Joanna Fitzpatrick;Alan Gelperin;Alan Thomson;Giuseppe Talani;Enrico Sanna;Anna Liscia
  • 通讯作者:
    Anna Liscia
Troponin I biomarker sensing from clinical patient samples using molecularly imprinted polymer nanoparticles for advancing healthcare approaches in cardiovascular disease
使用分子印迹聚合物纳米粒子从临床患者样本中检测肌钙蛋白I生物标志物,以推进心血管疾病的医疗方法
  • DOI:
    10.1016/j.bios.2025.117467
  • 发表时间:
    2025-08-15
  • 期刊:
  • 影响因子:
    10.500
  • 作者:
    Joshua Saczek;Oliver Jamieson;Jake McClements;Amy Dann;Rhiannon E. Johnson;Alexander D. Stokes;Robert D. Crapnell;Craig E. Banks;Francesco Canfarotta;Ioakim Spyridopoulos;Alan Thomson;Azfar Zaman;Katarina Novakovic;Marloes Peeters
  • 通讯作者:
    Marloes Peeters

Alan Thomson的其他文献

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{{ truncateString('Alan Thomson', 18)}}的其他基金

SWIMMR Activities in Ground Effects (SAGE)
SWIMMR 地面效应活动 (SAGE)
  • 批准号:
    NE/V002694/1
  • 财政年份:
    2020
  • 资助金额:
    $ 2.63万
  • 项目类别:
    Research Grant
Space Weather Impacts on Ground-based Systems (SWIGS)
空间天气对地面系统的影响 (SWIGS)
  • 批准号:
    NE/P017231/1
  • 财政年份:
    2017
  • 资助金额:
    $ 2.63万
  • 项目类别:
    Research Grant

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