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SYSTEM AND METHOD FOR PREDICTING ARCTIC SEA ICE CONCENTRATION

机译:预测北极海冰浓度的系统和方法

摘要

The present invention relates to weather forecast and the estimation of sea ice concentration, in which an Arctic sea ice concentration (SIC) and an Arctic sea ice extent can be exactly estimated before four months. According to the embodiments of the present invention, a system for estimating arctic sea ice concentration includes: an observed data storing unit, an absorbed solar radiation (ARS) data calculation unit, and a sea ice concentration (SIC) estimation modeling unit. The observed data storing unit stores the past SIC observation data, total-sky albedo observation data, and incident solar radiation observation data. The ARS data calculation unit calculates past ARS data based on the past total-sky albedo observation data, and the past incident solar radiation observation data. The SIC estimation modeling unit calculates SIC estimation data based on a rare model, which has parameters determined to fit the past ARS data and the past SIC observation data, and the ARS data.
机译:本发明涉及天气预报和海冰浓度的估计,其中北极海冰浓度(SIC)和北极海冰程度可以在四个月之前精确估计。根据本发明的实施例,一种用于估计北极海冰浓度的系统包括:观测数据存储单元,吸收太阳辐射(ARS)数据计算单元和海冰浓度(SIC)估计建模单元。观测数据存储单元存储过去的SIC观测数据,总天空反照率观测数据和入射太阳辐射观测数据。 ARS数据计算单元基于过去的总天空反照率观测数据和过去的入射太阳辐射观测数据来计算过去的ARS数据。 SIC估计建模单元基于稀有模型来计算SIC估计数据,该稀疏模型具有被确定为适合过去ARS数据和过去SIC观测数据以及ARS数据的参数。

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