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POWRE: Learning and Application of Methods to the Prediction of In Situ Marine Primary Production Under the Influence of Changing Solar Ultraviolet Radiation

POWRE: Learning and Application of Methods to the Prediction of In Situ Marine Primary Production Under the Influence of Changing Solar Ultraviolet Radiation
POWRE:太阳紫外线辐射变化影响下原位海洋初级生产预测方法的学习与应用
批准号:
0074422
负责人:
Barbara Prezelin
金额:
$7.37万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-08-15 至 2002-01-31

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中文摘要
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英文摘要
#00-74422PrezelinThis award provides funding that will enable the PI to learn modern methods of computational analyses and modeling that will significantly broaden the scope of her research. Currently, she is investigating the effects of changing Ultra Violet Radiation (UVR) on marine primary productivity. However she would like to expand this research into predictive/theoretical modeling of the consequences of UVR changes on phytoplankton photoecology and related ecosystem dynamics. Ultimately, she would like to develop a primary production model that considers the influence of UVR at the ecosystem level and that is mechanistically based upon the complex regulatory biology that controls the UVR photoecology of marine plants. This award is relevant to the POWRE program because the PI, who has just spent four years in an administrative position, will be able to expand her science career and continue to advance the visibility of women in science.
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Collaborative Research: Comparative Modeling and Data Analysis Studies for the Ross Sea and West Antarctic Peninsula Regions: A JGOFS Synthesis and Modeling Project
Gordon Research Conference: Controls and Significance of Carbon Flux in Polar Seas, to be held MArch 7-12, 1999
  • 批准号:
    9820956
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    1999
  • 负责人:
    Barbara Prezelin
  • 依托单位:
Synthesis of Existing High Resolution LTER/Icecolors Databases to Advance Physical-Bio-Optical Modeling of Antarctic Primary Production
Patterns and Sources of Variability in Biological Weighting Functions for UVR Inhibition of Primary Production in California Coastal Waters
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
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  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
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  • 依托单位: