ITR/AP+IM: Poseidon - Rapid Real-Time Interdisciplinary Ocean Forecasting: Adaptive Sampling and Adaptive Modeling in a Distributed Environment

ITR/AP IM：Poseidon - 快速实时跨学科海洋预报：分布式环境中的自适应采样和自适应建模

• 批准号: 0121263
• 负责人: Nicholas Patrikalakis
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2004-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0121263&HistoricalAwards=false
• 关键词: ITR; AP+IM; Poseidon; Rapid; Real

EIA-0121263Patrikalakis, Nicholas MMITITR/AP+IM: Poseidon- Rapid Real-Time Interdisciplinary Ocean Forecasting: Adaptive Sampling and Adaptive Modeling in a Distributed EnvironmentProgress in understanding the complex coupled physics, biology and acoustics of the oceans is accelerating via research on realistic nonlinear multiscale interdisciplinary processes, interactions and variabilities.To cope with the variabilities of such economies in space and time, dynamical model structures must evolve during the prediction, i.e., by adaptive modeling. The objective of this project is to enable by an effective union of information technologies and ocean sciences, efficient mulitscale interdisciplinary ocean prediction with real-time objective adaptive sampling, assimilation of multiple streams of interdisciplinary data, and autonomous adaptive modeling

EIA-0121263 Patrikalakis，Nicholas MMITITTR/AP+IM：Poseidon-快速实时跨学科海洋预报：分布式环境中的自适应采样和自适应建模通过对现实的非线性多尺度跨学科过程、相互作用和可变性的研究，对海洋复杂耦合的物理学、生物学和声学的理解正在加速进展。为了科普这种经济在空间和时间上的可变性，动态模型结构必须在预测期间演变，即，适应性建模。 该项目的目标是通过信息技术和海洋科学的有效结合，实现高效的多尺度跨学科海洋预测，并采用实时客观自适应采样、多学科数据流的同化和自主自适应建模