Collaborative Research: Antarctic Automatic Weather Station Program 2013-2017

合作研究：南极自动气象站计划2013-2017

• 批准号: 1245663
• 负责人: Matthew Lazzara
• 金额: $ 109.89万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-04-15 至 2017-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245663&HistoricalAwards=false
• 关键词: Collaborative; Research; Antarctic; Automatic; Weather

The Antarctic Automatic Weather Station (AAWS) network, first commenced in 1978, is the most extensive ground meteorological network in the Antarctic, approaching its 30th year at several of its installations. Its prime focus as a long term observational record is to measure the near surface weather and climatology of the Antarctic atmosphere. AWS sites measure air-temperature, pressure, wind speed and direction at a nominal surface height of 3m. Other parameters such as relative humidity and snow accumulation may also be measured. Observational data from the AWS are collected via the DCS Argos system aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters. The surface observations from the AAWS network are important records for recent climate change and meteorological processes. The surface observations from the AAWS network are also used operationally, and in the planning of field work. The surface observations from the AAWS network have been used to check on satellite and remote sensing observations.

南极自动气象站（AAWS）网络于1978年首次启动，是南极最广泛的地面气象网络，其几个设施已接近30年。它作为长期观测记录的主要重点是测量南极大气的近地表天气和气候学。AWS站点在3米的标称表面高度测量空气温度、压力、风速和风向。也可以测量其他参数，例如相对湿度和积雪量。来自自动气象站的观测数据是通过NOAA或MetOp极轨道卫星上的DCS Argos系统收集的，因此可以接近真实的时间提供给业务和天气预报员。AAWS网络的地面观测是近期气候变化和气象过程的重要记录。AAWS网络的地面观测也用于实际操作和实地工作规划。AAWS网络的地面观测已用于检查卫星和遥感观测。

项目成果

The Extreme Wind Events in the Ross Island Region of Antarctica

• DOI: 10.1175/waf-d-15-0125.1
• 发表时间: 2016-06
• 期刊: Weather and Forecasting
• 影响因子: 2.9
• 作者: N. Weber;M. Lazzara;L. Keller;J. Cassano

A Self-Organizing-Map-Based Evaluation of the Antarctic Mesoscale Prediction System Using Observations from a 30-m Instrumented Tower on the Ross Ice Shelf, Antarctica

• DOI: 10.1175/waf-d-16-0084.1
• 发表时间: 2015-12
• 期刊: Weather and Forecasting
• 影响因子: 2.9
• 作者: M. A. Nigro;J. Cassano;J. Wille;D. Bromwich;M. Lazzara

Composite Analysis of the Effects of ENSO Events on Antarctica

ENSO事件对南极洲影响的综合分析

• DOI: 10.1175/jcli-d-15-0108.1
• 发表时间: 2016
• 期刊: Journal of Climate
• 影响因子: 4.9
• 作者: Welhouse, Lee J.;Lazzara, Matthew A.;Keller, Linda M.;Tripoli, Gregory J.;Hitchman, Matthew H.
• 通讯作者: Hitchman, Matthew H.

An Investigation of Extreme Cold Events at the South Pole

南极极冷事件的调查

• 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

Evaluation of the AMPS Boundary Layer Simulations on the Ross Ice Shelf with Tower Observations

罗斯冰架 AMPS 边界层模拟与塔观测评估

• DOI: 10.1175/jamc-d-16-0032.1
• 发表时间: 2016
• 期刊: Journal of Applied Meteorology and Climatology
• 影响因子: 3
• 作者: Wille, Jonathan D.;Bromwich, David H.;Nigro, Melissa A.;Cassano, John J.;Mateling, Marian;Lazzara, Matthew A.;Wang, Sheng-Hung
• 通讯作者: Wang, Sheng-Hung