包含温度因子的海水地球物理模型函数建模研究

以SeaWinds散射计为例,利用其L2A卫星测量数据和相应的海面浮标测量数据,以温度作为独立变量,借助人工神经网络首次尝试建立了包含温度因子的海水地球物理模型函数。建模实验结果表明,在3—15m.s-1风速范围内,对于两种极化方式,后向散射系数先随温度的升高而增大,当风速大于某一数值后,又随温度的升高而减小,但两种极化方式的转折风速存在差异。该研究结果为海面微波散射机理认识的进一步深入和模型函数精度的进一步提高展示了潜在的可能途径。     

A study into the export of saline water from Hervey Bay, Australia

Australia's climate is one of the world's driest and locally characterised by high year-to-year rainfall variability. Due to high evaporation and low river runoff many estuaries and embayments in the region are characterised by inverse conditions with salinity increasing toward the coast and river mouths. Such conditions were also found during the first comprehensive hydrographic survey of Hervey Bay located at the east coast of Australia in early spring 2004. The survey traced a subsurface salinity maximum that was found in earlier studies within the East Australia Current, east of Hervey Bay to the shallow southwest regions of the bay. These are identified as the most likely source region for locally produced saline Hervey Bay Water. Utilising a simple box model, mean evaporation rates and historical river runoff data, it is demonstrated that inverse conditions are likely to dominate throughout the year. The negative circulation is a climatological feature of this estuary that is not limited to the dry season of the year. Due to persistent drought and declining rainfall in coastal eastern Australia, these conditions are likely to persist into the near future and need to be considered in coastal management strategies.