NSWP: Quantitative Forecast and Specification of Radiation Belt Electrons

NSWP:辐射带电子的定量预测和规范

基本信息

  • 批准号:
    0519207
  • 负责人:
  • 金额:
    $ 26.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-07-15 至 2009-06-30
  • 项目状态:
    已结题

项目摘要

A major objective of National Space Weather Program (NSWP) is to transfer the techniques and knowledge from scientific research to the operational forecasting activities and to improve present capabilities in forecasting and specifying conditions in the space environment. This project will advance current prediction models to make quantitative real-time forecasts and specifications of the Earth's electron radiation belts from L=3 to L=8. A radial diffusion model has been developed and has achieved great success in predicting the electron enhancements at geosynchronous orbit. However, the current model has only limited application because the model only produces daily averaged electron fluxes at geosynchronous orbit. This project will enhance the model to make high time resolution (1 hour) forecasts of energetic electron fluxes up to 48 hours in advance. It will also provide specifications of the radiation belt electrons from L=3 to L=8 for different local times. It will also examine the effectiveness of radial transport in accelerating electrons. The work will be mostly carried out by a graduate student under the supervision of the principal investigator. The forecast and specification results will be posted and archived on the web to be accessible to the public and the website will be made interactive to allow interested researchers and industrial partners to acquire the results at specified times and locations.
国家空间气象方案(NSWP)的一个主要目标是将科学研究中的技术和知识转移到业务预报活动中,并提高目前预报和确定空间环境条件的能力。该项目将改进现有的预测模型,对L=3到L=8的地球电子辐射带进行定量实时预测和规范。建立了一个径向扩散模型,在预测地球同步轨道上的电子增强方面取得了巨大的成功。然而,目前的模型只有有限的应用,因为该模型只产生地球同步轨道上的日平均电子通量。这个项目将改进模式,提前48小时作出高时间分辨率(1小时)的高能电子通量预报。它还将提供不同当地时间从L=3到L=8的辐射带电子的规格。它还将研究加速电子的径向输运的有效性。这项工作将主要由一名研究生在首席调查员的监督下进行。预测和规格结果将在网上公布和存档,供公众查阅,并使网站具有互动性,使感兴趣的研究人员和行业合作伙伴能够在指定的时间和地点获得结果。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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Xinlin Li其他文献

Bounded anisotropy fluid model for ion temperature evolution applied to AMPTE/IRM magnetosheath data
离子温度演化的有界各向异性流体模型应用于 AMPTE/IRM 磁鞘数据
  • DOI:
  • 发表时间:
    1995
  • 期刊:
  • 影响因子:
    0
  • 作者:
    R. Denton;Xinlin Li;T. Phan
  • 通讯作者:
    T. Phan
Parametric study of shock‐induced transport and energization of relativistic electrons in the magnetosphere
磁层中冲击引起的相对论电子输运和赋能的参数研究
  • DOI:
    10.1029/2004ja010679
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Gannon;Xinlin Li;M. Temerin
  • 通讯作者:
    M. Temerin
Accuracy and time efficiency of deep learning-based three-dimensional crown segmentation on intraoral scanning: a systematic review and meta-analysis
口腔内扫描中基于深度学习的三维牙冠分割的准确性和时间效率:一项系统综述和荟萃分析
  • DOI:
    10.1016/j.jdent.2025.105842
  • 发表时间:
    2025-08-01
  • 期刊:
  • 影响因子:
    5.500
  • 作者:
    Mengfei Xu;Xinlin Li;Lingyun Wang;Jingyi Yu;Deshui Li;Xiaoyu Chi;Fulan Wei
  • 通讯作者:
    Fulan Wei
Study on the bonding strength and thermal shock resistance of thermal barrier coatings regulated by interface texture
界面织构调控的热障涂层结合强度及抗热震性能研究
  • DOI:
    10.1016/j.surfcoat.2025.132342
  • 发表时间:
    2025-09-15
  • 期刊:
  • 影响因子:
    6.100
  • 作者:
    Yongzhi Jing;Xiufang Cui;Guo Jin;Zhuo Chen;Yongchao Fang;Chong Zhang;Xinlin Li;Cheng Qin
  • 通讯作者:
    Cheng Qin
Porous biodegradable biomass composites based on cationic starch and plant fibers
基于阳离子淀粉和植物纤维的多孔可生物降解生物质复合材料
  • DOI:
    10.1016/j.ijbiomac.2025.144714
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    8.500
  • 作者:
    Tao Wang;Yanhui Li;Zhikang Su;Yukun Hao;Xinlin Li;Maocheng Ji;Sixian Peng;Shen Wang;Fangyi Li;Chuanwei Zhang
  • 通讯作者:
    Chuanwei Zhang

Xinlin Li的其他文献

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{{ truncateString('Xinlin Li', 18)}}的其他基金

RAPID: Refurbishing and Integrating the Relativistic Electron and Proton Telescope integrated little experiment-2 (REPTile-2) into Emirates Mission to the Asteroid Belt (EMA)
RAPID:翻新和集成相对论电子和质子望远镜将小型实验 2 (REPTile-2) 集成到阿联酋小行星带任务 (EMA) 中
  • 批准号:
    2342473
  • 财政年份:
    2023
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Standard Grant
On the Source and Loss of Inner Belt Electrons
内带电子的来源与损失
  • 批准号:
    1834971
  • 财政年份:
    2019
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Standard Grant
Analysis and Modeling of the Data from CubeSat: Colorado Student Space Weather Experiment (CSSWE)
CubeSat 数据的分析和建模:科罗拉多州学生空间天气实验 (CSSWE)
  • 批准号:
    1443749
  • 财政年份:
    2015
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
Collaborative Research: NSWP--Machine Learning and Data Assimilation for Real-Time Radiation Belt Forecasting
合作研究:NSWP--用于实时辐射带预报的机器学习和数据同化
  • 批准号:
    1131869
  • 财政年份:
    2011
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
CubeSat: Colorado Student Space Weather Experiment
CubeSat:科罗拉多州学生太空天气实验
  • 批准号:
    0940277
  • 财政年份:
    2010
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
Acceleration of Radiation Belt Electrons: In Situ Heating vs. Inward Radial Transport
辐射带电子的加速:原位加热与向内径向传输
  • 批准号:
    0842388
  • 财政年份:
    2009
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
GEM: Phase Space Density Gradient of Energetic Electrons at Geosynchronous Orbit During Sharp Solar Wind Pressure Enhancements
GEM:太阳风压急剧增强期间地球同步轨道上高能电子的相空间密度梯度
  • 批准号:
    0902813
  • 财政年份:
    2009
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Standard Grant
Quantification of Radial Diffusion in Energizing MeV (Millions of Electron Volts) Electrons in the Magnetosphere
磁层中激发 MeV(数百万电子伏)电子的径向扩散的量化
  • 批准号:
    0549093
  • 财政年份:
    2006
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
Source of Radiation Belt Electrons
辐射带电子源
  • 批准号:
    0233302
  • 财政年份:
    2003
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant
GEM: Detailed Study of the Magnetic Storms Selected for GEM Inner Magnetosphere and Storms Campaign
GEM:对 GEM 内磁层和风暴活动选定的磁暴进行详细研究
  • 批准号:
    0101351
  • 财政年份:
    2001
  • 资助金额:
    $ 26.76万
  • 项目类别:
    Continuing Grant

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Determination of Irrigation Depths Using a Numerical Model and Quantitative Weather Forecast and Comparison with an Experiment
使用数值模型和定量天气预报确定灌溉深度并与实验进行比较
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