Dynamics and Moist Thermodynamics of the Boreal Summer Intraseasonal Oscillation

北方夏季季节内振荡的动力学和湿润热力学

• 批准号: 0647995
• 负责人: Bin Wang
• 金额: $ 52.68万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-03-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0647995&HistoricalAwards=false
• 关键词: Dynamics; Moist; Thermodynamics; Boreal; Summer

Intraseasonal oscillations in the tropics drive week-to-week and month-to-month variations in precipitation and in the risk of tropical cyclones. Thus they are important for the most significant weather and climate variations in these regions. Intraseasonal oscillations in the boreal summer are potentially more complex than the more familiar wintertime Madden-Julian oscillation, because they are not confined to the equatorial band, they exhibit complex interactions with the ocean and with the seasonal mean climate, and they involve a wide range of modes and scales. Current coupled climate models do not simulate the summertime intraseasonal oscillations well.The PIs will analyze observations in order to define the detailed structures of the boreal summer intraseasonal oscillations, including their seasonal variations, the coupling between timescales, and their interactions with seasonal variability. These studies will employ newly available remotely sensed data from satellites, ground-based data, and a very long historical record of precipitation. Modeling studies, using a hierarchy of coupled atmosphere-ocean models, as well as mechanistic intermediate models, will be carried out to identify the mechanisms that drive the BSISO and determine its timescales, to investigate the predictability of the BSISO and its interactions with the ocean, and to explore how it is influenced by seasonal anomalies, such as El Nino.Broader impacts of this work are in the importance of the BSISO for intraseasonal forecasting in the tropics, with implications for predicting floods and droughts, and in training a postdoctoral associate and a graduate student.

热带地区的季节内振荡每周驱动降水和热带气旋风险的每月变化。因此，它们对于这些地区最重要的天气和气候变化很重要。北方夏季的季节内振荡可能比更熟悉的冬季Madden-Julian振荡更为复杂，因为它们不仅局限于赤道带，因此它们与海洋和季节性平均气候表现出复杂的相互作用，并且涉及各种模式和尺度。当前的耦合气候模型不能很好地模拟季节内振荡。这些研究将采用来自卫星，基于地面数据的新可远程感知的数据，以及很长的降水记录。 Modeling studies, using a hierarchy of coupled atmosphere-ocean models, as well as mechanistic intermediate models, will be carried out to identify the mechanisms that drive the BSISO and determine its timescales, to investigate the predictability of the BSISO and its interactions with the ocean, and to explore how it is influenced by seasonal anomalies, such as El Nino.Broader impacts of this work are in the importance of the BSISO在热带地区进行季节性预测，对预测洪水和干旱以及培训博士后同学和研究生的影响。