Dynamic Reassimilation of Atmospheric Observations for Global Climate Change Studies: A Feasibility Study

全球气候变化研究的大气观测动态重同化：可行性研究

• 批准号: 9013212
• 负责人: Jagadish Shukla
• 金额: $ 97.06万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-01-15 至 1994-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9013212&HistoricalAwards=false
• 关键词: Dynamic; Reassimilation; Atmospheric; Observations; Global

The PIs will produce a four-dimensional internally consistent gridded data set for the global atmosphere for the period May 1982 to November 1983. They will do so by assembling the most complete set of atmospheric and oceanic observations made during that period and by using a state-of-the-art multivariate optimal interpolation scheme for atmospheric data assimilation. The primary motivation for this work is to demonstrate the feasibility of reanalyzing past atmospheric observations using a state-of-the-art global model and a global data assimilation system. Such a feasibility study is needed before making plans for reanalysis of long term (more than 10 years) historical data sets for climate research. The data assimilation system to be used will include the COLA general circulation model, the forecast of which will provide the first guess, and the most accurate optimum interpolation algorithm available. The observational data set will be a combination of level II-data archived in real time during the period and delayed mode data, including the comprehensive Ocean-Atmosphere Data Set (COADS), which have been assembled at NCAR. The critical evaluations of the analyses will include general circulation statistics; global and local energy spectra; global energetic diagnoses including generation and dissipation of energy; a detailed examination of the global hydrologic cycle including regional budgets for the tropical Pacific, North America, the Amazon basin, and sub-Saharan Africa; and computations of surface wind stress and total heat flux to force a global ocean model. The PIs will archive the various measures of analysis error obtained during the assimilation cycle to study the quality of the analyses and to provide confidence estimates and error bars. This study will be extremely useful to support the scientific objectives of national and international research programs such as the Tropical Oceans Global Atmospheric (TOGA), World Ocean Circulation Experiment (WOCE), Global Energy and Water Cycle Experiment (GEWEX) and International Geosphere Biosphere Program (IGBP). The PIs have chosen the 1982-83 period for this study because it witnessed the most outstanding example of ocean-atmosphere interaction as manifested by the E1 Nino- Southern Oscillation phenomenon and its related world-wide effects.

PI会在内部产生一个四维的 2004 - 2005年全球大气一致网格数据集 1982年5月至1983年11月。 他们将通过组装 最完整的大气和海洋观测资料 在那个时期制造的， 大气数据多元最优插值格式 同化 这项工作的主要动机是证明 利用一个新的大气观测数据重新分析过去的大气观测数据的可行性 最先进的全球模式和全球数据同化 系统 在制定计划之前需要进行这样的可行性研究 用于重新分析长期（10年以上）历史数据 用于气候研究。 将使用的数据同化系统将包括 COLA大气环流模式，其预测将 提供第一个猜测，最准确的最佳选择， 插值算法可用。 观测数据集 将是真实的存档的二级数据的组合 期间和延迟模式数据，包括 综合海洋-大气数据集（COADS）， 在NCAR组装。 对分析的批判性评价 将包括一般流通统计;全球和地方 能量谱;包括发电的全球能量诊断 和能量耗散;对全球 水文循环，包括热带地区的区域收支 太平洋、北美洲、亚马逊河流域和撒哈拉以南非洲; 以及计算地面风应力和总热通量， 形成了一个全球海洋模型 PI将存档各种 在同化周期中获得的分析误差的测量 研究分析的质量， 估计值和误差条。 这项研究将非常有助于支持 国家和国际研究的科学目标 热带海洋全球大气计划（TOGA）， 世界海洋环流实验、全球能源和 水循环实验（GEWEX）和国际地圈 生物圈计划（IGBP）。 PI选择了1982-83年期间 因为它见证了 海洋与大气的相互作用，如厄尔尼诺现象所表现的那样， 南方涛动现象及其相关的全球性 方面的影响.