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Collaborative Research: Antarctic Automatic Weather Station Program 2019-2022

Collaborative Research: Antarctic Automatic Weather Station Program 2019-2022
合作研究:南极自动气象站计划2019-2022
批准号:
1924730
负责人:
Matthew Lazzara
金额:
$90.94万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-09-01 至 2025-02-28

项目摘要

项目成果

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中文摘要
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英文摘要
The Antarctic Automatic Weather Station network is the most extensive surficial meteorological network in the Antarctic, approaching its 30th year at several of its data stations. Its prime focus is also as a long term observational record, to measure the near surface weather and climatology of the Antarctic atmosphere. Antarctic Automatic Weather Stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. The surface observations from the Antarctic Automatic Weather Station network are also used operationally, for forecast purposes, and in the planning of field work. Surface observations made from the network have also been used to check the validity of satellite and remote sensing observations. The proposed effort informs our understanding of the Antarctic environment and its weather and climate trends over the past few decades. The research has implications for potential future operations and logistics for the US Antarctic Program during the winter season. As a part of this endeavor, all project participants will engage in a coordinated outreach effort to bring the famous Antarctic "cold" to public seminars, K-12, undergraduate, and graduate classrooms, and senior citizen centers.This project proposes to use the surface conditions observed by the Antarctic Automatic Weather Station (AWS) network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes. Consideration will also be given to low temperature physical environments such as may be encountered during Antarctic winter, and the best ways to characterize these, and other ?cold pool? phenomena. Observational data from the AWS are collected via Iridium network, or DCS Argos aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters over the GTS (WMO Global Telecommunication System). Being able to support improvements in numerical weather prediction and climate modeling will have lasting impacts on Antarctic science and logistical support.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1175/jcli-d-21-0404.1
发表时间: 2022
期刊: Journal of Climate
影响因子: 4.9
作者: [Keller, Linda M., Maloney, Kathryn J., Lazzara, Matthew A., Mikolajczyk, David E., Battista, Stefano Di]
通讯作者: Battista, Stefano Di
DOI: 10.5194/essd-15-411-2023
发表时间: 2023-01
期刊: Earth System Science Data
影响因子: 11.4
作者: [Yetang Wang;Xueying Zhang;Wentao Ning;M. Lazzara;M. Ding;C. Reijmer;P. Smeets;P. Grigioni;P. Heil;E. Thomas;David E. Mikolajczyk;L. J. Welhouse;L. Keller;Zhao-Hui Zhai;Yuqi Sun;S. Hou]
通讯作者: Yetang Wang;Xueying Zhang;Wentao Ning;M. Lazzara;M. Ding;C. Reijmer;P. Smeets;P. Grigioni;P. Heil;E. Thomas;David E. Mikolajczyk;L. J. Welhouse;L. Keller;Zhao-Hui Zhai;Yuqi Sun;S. Hou
DOI: 10.1175/bams-d-21-0040.1
发表时间: 2021-11-01
期刊: BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
影响因子: 8
作者: [Francelino, Marto Rocha, Schaefer, Carlos, Cerveny, Randall S.]
通讯作者: Cerveny, Randall S.
DOI: 10.1175/jtech-d-21-0107.1
发表时间: 2021
期刊: Journal of Atmospheric and Oceanic Technology
影响因子: 2.2
作者: [Morino, Shohei, Kurita, Noayuki, Hirasawa, Noahiko, Motoyama, Hideaki, Sugiura, Konosuke, Lazzara, Matthew, Mikolajczyk, David, Welhouse, Lee, Keller, Linda, Weidner, George]
通讯作者: Weidner, George
Collaborative Research: The Automatic Weather Station Program: Antarctic Meteorological Sentinel Service 2024-2027
  • 批准号:
    2301362
  • 项目类别:
    Standard Grant
  • 资助金额:
    $180.0万
  • 财政年份:
    2023
  • 负责人:
    Matthew Lazzara
  • 依托单位:
Collaborative Research: Antarctic Meteorological Research and Data Center
  • 批准号:
    1951603
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $91.68万
  • 财政年份:
    2020
  • 负责人:
    Matthew Lazzara
  • 依托单位:
Collaborative Research: Observing the Atmospheric Boundary over the West Antarctic Ice Sheet
  • 批准号:
    1744878
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.02万
  • 财政年份:
    2018
  • 负责人:
    Matthew Lazzara
  • 依托单位:
Collaborative Research: Modeling Spatiotemporal Control of EGFR-ERK Signaling in Gene-edited Cell Systems
  • 批准号:
    1716537
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.06万
  • 财政年份:
    2017
  • 负责人:
    Matthew Lazzara
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)