摘要
截至目前,欧洲气象卫星组织新一代"Met Op"系列卫星搭载的先进的ASCAT散射仪所观测的土壤湿度数据在我国尚未得到应用。本文拟通过使用NOAA的先进算法处理ASCAT土壤湿度数据,并开发干旱预报系统以用于监测新疆土壤水分来预测其干旱情况。文中首次使用ASCAT土壤湿度数据、前沿人工智能技术在新疆干旱监测中,为干旱监测提供了新的研究思路,开发出新的干旱预报系统对土壤水分等级有一定的预报能力,其中新设计的干旱指数-Met Op卫星反演的土壤湿度距平百分数可以有效提高干旱监测的时间精度,便于更好地开展决策服务。
A new generation of EUMESTAT Metop series of satellites equipped with the advanced ASCAT Scatterometer, but the observed soil moisture data has not yet been applied in China. This paper used an advanced algorithm of NOAA to process ASCAT soil moisture data, and developed a drought forecasting system for monitoring soil moisture in Xinjiang and predicting drought conditions. ASCAT soil moisture data, cutting-edge artificial intelligence techniques were firstly used in Xinjiang drought monitoring, it provides a new research ideas for drought monitoring, the new developed drought forecasting system have some forecasting capability for soil moisture levels, and a new design drought index - MetOp ,which is soil moisture anomaly percentage from satellite retrieval ,can improve the time accuracy of drought monitoring and better serve for the decision making.
作者
韩斌
Han Bin(Xinjiang Meteorological Information Center, Urumqi 830002, Chin)
出处
《沙漠与绿洲气象》
2016年第6期88-92,共5页
Desert and Oasis Meteorology
