five

Sea Surface Silicate in the Australian Region

收藏
Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/sea-surface-silicate-australian-region/3933669
下载链接
链接失效反馈
官方服务:
资源简介:
Silicate, linearly interpolated from CARS2000 mean and seasonal fields to 0.1 degree spaced grid, at depths of 0, 150, 500, 1000 and 2000 metres. The loess filter used to create CARS2000 resolves at each point a mean value and a sinusoid with 1 year period (and in some cases a 6 month period sinusoid - the "semi-annual cycle".) The provided "annual amplitude" is simply the magnitude of that annual sinusoid. CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 0.5 degree grid, and on 56 standard depth levels. Higher resolution versions are also available for the Australian continental shelf. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. CARS2000 is derived from ocean cast data, which is always measured above the seafloor. However, for properties which do not change rapidly near the seafloor, this would not lead to a significant error. All the limitations of CARS2000 also apply here.

本数据集为硅酸盐数据,基于CARS2000的平均场与季节场通过线性插值得到0.1度间隔的网格,覆盖深度分别为0、150、500、1000与2000米。用于构建CARS2000的局部加权回归(Loess)滤波器,可在每个网格点解算出平均值与周期为1年的正弦分量(部分场景下还包含周期为6个月的正弦分量,即“半年度循环”)。本数据集提供的“年度振幅”即为该年度正弦分量的幅值。CARS数据集是一套包含温度、盐度、溶解氧、硝酸盐、磷酸盐与硅酸盐的季节分布图集,基于研究区域所有可用海洋观测数据通过Loess映射方法生成,覆盖东经100°至200°、南纬50°至0°的海域,采用0.5度分辨率网格,包含56个标准深度层。针对澳大利亚大陆架区域,还提供了更高分辨率的数据集版本。本数据集的数据来源于《世界海洋图集1998》(World Ocean Atlas 98)以及澳大利亚联邦科学与工业研究组织(CSIRO)海洋档案与新西兰国家水与大气研究所(NIWA)档案库。该数据集旨在针对澳大利亚海域优化利维图斯(Levitus)版《世界海洋图集1998》的应用效果。CARS2000数据集源于海洋剖面观测数据,这类观测均在海底上方完成。不过对于海底附近变化平缓的海洋要素而言,该采样方式不会引入显著误差。CARS2000的所有局限性均适用于本数据集。
提供机构:
Australian Ocean Data Network
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作