EAGER: Educational Contributions to the Deep Convective Clouds and Chemistry (DC3) Field Campaign

EAGER:对深对流云和化学 (DC3) 实地活动的教育贡献

基本信息

项目摘要

The Deep Convective Clouds and Chemistry (DC3) field campaign to be conducted May-June 2012 is a multi-regional, multi-platform effort to determine the impact of deep midlatitude continental convective clouds and their intrinsic dynamical, microphysical, and electrification processes upon upper tropospheric composition and chemistry. This award will support direct participation of University of North Dakota (UND) undergraduate and graduate students in DC3 via three mechanisms: (1) Development and delivery of a special winter/spring on-campus course addressing the scientific objectives, instrumentation and forecasting needs for the multi-regional field campaign; (2) a follow-on internship-for-credit activity n which students will produce mock forecasts for the campaign and monitor daily forecast and scientific discussions; and (3) direct participation of a select number of students in the field campaign effort for the northern Alabama subregion, to be based at the University of Alabama-Huntsville (UAH).The intellectual merit of this effort derives from support of substantive exchanges between an early-career PI and her students with other NSF-supported investigators on multidisciplinary topics involving the interface of convective-scale meteorological processes and atmospheric chemistry, as well as through contributions to the collection of field datasets required to meet DC3 project goals.Broader impacts will relate primarily to education of graduate and undergraduate students in the dynamic arena of field data collection-driven science, with an eye toward improved retention of underrepresented groups in the sciences such as women and Native Americans. Methodologies for development of both the class and internship model will be documented and assessed in order to facilitate similar experiences, both at UND and other institutions, as well as through dissemination of outcomes via a peer-reviewed publication and associated conference presentation to be made by students involved in this effort. Collaborations between UND faculty and other DC3-involved investigators and institutions will also be strengthened.
深层对流云与化学(DC3)现场运动将于2012年5月至6月进行,是一种多区域的多平台努力,旨在确定深层中纬度大陆对流云及其内在动力学,微物理和电气化过程对对流层组成和化学的影响。 该奖项将通过三种机制来支持北达科他大学(UND)本科生和研究生的直接参与:(1)开发和交付特殊的冬季/春季校园课程,以满足多种规范领域运动的科学目标,仪器和预测需求; (2)一项后续实习学分的活动n,学生将为竞选活动制作模拟预测,并监控每日的预测和科学讨论; (3)在阿拉巴马大学 - 亨斯维尔大学(UAH)的北部阿拉巴马州北部区域的田间竞选活动的直接参与。化学以及通过对达到DC3项目目标所需的现场数据集的贡献。BoarDer的影响将主要与在现场数据收集型科学的动态领域的研究生和本科生的教育有关,并着眼于改善诸如妇女和美洲原住民等科学群体不足的群体的保留。 将记录和评估班级和实习模型的发展方法,以促进UND和其他机构的类似经验,以及通过通过同行评审的出版物和相关的会议演讲通过参与这项工作的学生进行的,通过同行评审的出版物和相关的会议演讲来促进类似的经验。 UND教师与其他DC3涉及的研究人员和机构之间的合作也将得到加强。

项目成果

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Gretchen Mullendore其他文献

Gretchen Mullendore的其他文献

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{{ truncateString('Gretchen Mullendore', 18)}}的其他基金

Collaborative Research: EarthCube RCN: "What About Model Data?": Determining Best Practices for Archiving and Reproducibility
协作研究:EarthCube RCN:“模型数据怎么样?”:确定存档和可重复性的最佳实践
  • 批准号:
    1929773
  • 财政年份:
    2019
  • 资助金额:
    $ 8.78万
  • 项目类别:
    Standard Grant
Collaborative Research: SI2-SSI: Big Weather Web: A Common and Sustainable Big Data Infrastructure in Support of Weather Prediction Research and Education in Universities
合作研究:SI2-SSI:大天气网:支持大学天气预报研究和教育的通用且可持续的大数据基础设施
  • 批准号:
    1450168
  • 财政年份:
    2015
  • 资助金额:
    $ 8.78万
  • 项目类别:
    Standard Grant
Midlatitude Deep Convective Transport to the Upper-Troposphere and Lower-Stratosphere
中纬度深对流层对流层上层和平流层下层的输送
  • 批准号:
    1432930
  • 财政年份:
    2015
  • 资助金额:
    $ 8.78万
  • 项目类别:
    Continuing Grant
Deep Convective Transport to the Upper-Troposphere/Lower-Stratosphere
到对流层上层/平流层下层的深对流输送
  • 批准号:
    0918010
  • 财政年份:
    2009
  • 资助金额:
    $ 8.78万
  • 项目类别:
    Standard Grant

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