Data Assimilation Research in Support of Ross Island Meteorological Experiment (RIME)

支持罗斯岛气象实验（RIME）的资料同化研究

• 批准号: 0230361
• 负责人: Ying-Hwa Kuo
• 金额: --
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0230361&HistoricalAwards=false
• 关键词: Data; Assimilation; Research; Support; Ross

This award will provide funds to develop and implement an advanced data assimilation system for use in a regional numerical weather forecasting model (MM5) specifically designed for the Ross Sea and McMurdo area of Antarctica.With the lack of traditional observations over Antarctica and the Southern Ocean, and with the difficulty in significantly augmenting traditional observations, the optimal use of satellite and other non-traditional, e.g. automatic weather station, data is currently the only viable path to improve regional weather analysis and prediction. Further, the lack of data also hampers progress in meteorological research and model development, since there is insufficient data to study physical processes and to represent them accurately in numerical models. Three tasks are included in this project: (1) development of a mesoscale variational data assimilation system over the Antarctic region; (2) assimilation of automatic weather station and satellite data and assessment of their impact on short-range prediction over the Antarctic region; and (3) performing forecast sensitivity experiments with the MM5 adjoint model to study what types of data, over what regions, are most important to accurate forecast over the Ross Sea area. The project will also form one of the bases of a planned Ross Island Meteorological Experiment.

该奖项将提供资金，用于开发和实施一个先进的数据同化系统，用于专门为南极洲罗斯海和麦克默多地区设计的区域数值天气预报模式（MM 5）。例如自动气象站，数据是目前改进区域天气分析和预测的唯一可行途径。 此外，缺乏数据也阻碍了气象研究和模型开发的进展，因为没有足够的数据来研究物理过程并在数值模型中准确地表示这些过程。该计划包括三个任务：（1）发展南极地区的中尺度变分资料同化系统;（2）同化自动气象站和卫星资料并评估它们对南极地区短期预报的影响;以及（3）用MM 5伴随模式进行预报敏感性试验，以研究什么类型的数据，在什么地区，对罗斯海域的准确预报至关重要。 该项目还将成为计划中的罗斯岛气象实验的基地之一。