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Satellite information of sea ice for model validation

机译:海冰卫星信息用于模型验证

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摘要

Emergence of extensively large computational facilities have enabled the scientific world to use earth system models for understating the prevailing dynamics of the earth's atmosphere, ocean and cryosphere and their inter relations. The sea ice in the arctic and the Antarctic has been identified as one of the main proxies to study the climate changes. The rapid sea-ice melting in the Arctic and disappearance of multi-year sea ice has become a matter of concern. The earth system models couple the ocean, atmosphere and sea-ice in order to bring out the possible inter connections between these three very important components and their role in the changing climate. The Indian monsoon is seen to be subjected to nonlinear changes in the recent years. The rapid ice melt in the Arctic sea ice is apparently linked to the changes in the weather and climate of the Indian subcontinent. The recent findings reveal the relation between the high events occurs in the Indian subcontinent and the Arctic sea ice melt episodes. The coupled models are being used in order to study the depth of these relations. However, the models have to be validated extensively by using measured parameters. The satellite measurements of sea-ice starts from way back in 1979. There have been many data sets available since then. Here in this study, an evaluation of the existing data sets is conducted. There are some uncertainties in these data sets. It could be associated with the absence of a single sensor for a long period of time and also the absence of accurate in-situ measurements in order to validate the satellite measurements.
机译:庞大的计算设施的出现使科学界能够使用地球系统模型来低估地球大气,海洋和冰冻圈的普遍动态及其相互关系。北极和南极的海冰已被确定为研究气候变化的主要代表之一。北极海冰的迅速融化和多年海冰的消失已经成为一个令人关注的问题。地球系统模型将海洋,大气层和海冰耦合在一起,以便揭示这三个非常重要的组成部分及其在气候变化中的作用之间可能的相互联系。近年来,印度季风受到非线性变化的影响。北极海冰中迅速的冰融化显然与印度次大陆的天气和气候变化有关。最近的发现揭示了印度次大陆发生的高事件与北极海冰融化事件之间的关系。为了研究这些关系的深度,正在使用耦合模型。但是,必须使用测得的参数对模型进行广泛的验证。卫星对海冰的测量始于1979年。从那时起,已有许多数据集可用。在此研究中,对现有数据集进行了评估。这些数据集存在一些不确定性。这可能与很长一段时间内没有单个传感器有关,也可能与为了验证卫星测量结果而没有准确的原位测量结果有关。

著录项

  • 来源
    《Land surface and cryosphere remote sensing III》|2016年|98772G.1-98772G.9|共9页
  • 会议地点 New Delhi(IN)
  • 作者单位

    National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, A-50, Sector-62, Noida, UP - 201 309, India;

    National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, A-50, Sector-62, Noida, UP - 201 309, India;

    National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, A-50, Sector-62, Noida, UP - 201 309, India;

    National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, A-50, Sector-62, Noida, UP - 201 309, India;

    National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, A-50, Sector-62, Noida, UP - 201 309, India;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Monsoon; Coupled Model; Sea Ice; Model Validation; Observation of Sea Ice; Satellite measurements; ReAanlysis; HadISST; Arctic; Sea Ice concentration;

    机译:季风耦合模型海冰;模型验证;观察海冰;卫星测量;再分析; HadISST;北极;海冰浓度;

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