The Assimilation of Data from Satellite Data Sources for Mesoscale Analyses in Support of SHEBA

该基金支持的研究由北极系统科学（ARCSS）全球变化研究计划主持，并由海洋科学部和极地项目办公室联合赞助。即将进行的工作是一项名为“示巴”的重大5年研究项目的初步步骤，该项目旨在研究北冰洋的热量收支及其对全球变化的影响。SHEBA的主要目标是：(1)开发、测试和实施北极海洋-大气-冰过程的模式，这些模式明显改善了使用环流模式（GCMs）对当今北极气候（包括其变率）的模拟；(2)改善北极卫星遥感数据的解释，用于北极气候系统的分析，并为模式输入、模式验证和气候监测提供可靠的数据。科罗拉多大学和阿拉斯加大学的研究人员的这个联合项目将增加对北极气候反馈机制的理解。将卫星气象数据与区域大气模式结合起来，可以在1997年第2阶段实地试验的拟议地点更好地预测北极气候变量。这项研究对于规划研究的实验阶段是必要的。

Research supported by this grant is under the auspices of the Arctic Systems Science (ARCSS) Global Change Research Program and is jointly sponsored by the Division of Ocean Sciences and the Office of Polar Programs. Work to be performed represents preliminary steps towards a major 5-year research project named SHEBA, which is envisioned to study the heat budget of the Arctic Ocean and its impact on global change. The primary goals of SHEBA are: (1) to develop, test and implement models of arctic ocean-atmosphere-ice processes that demonstrably improve simulations of the present day arctic climate, including its variability, using General Circulation Models (GCMs), and (2) to improve the interpretation of satellite remote sensing data in the Arctic for analysis of the arctic climate system and provide reliable data for model input, model validation and climate monitoring. This joint project by researchers at the University of Colorado and University of Alaska will increase the understanding of the feedback mechanisms in Arctic climate. The integration of meteorological data derived from satellites with regional atmospheric models will allow better prediction of Arctic climate variables at the proposed site for the Phase 2 field experiment in 1997. This research will necessary for planning the experiment phase of the study.