GEOMACS (Geological and Oceanographic Model of Australias Continental Shelf) Ratio
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https://researchdata.edu.au/geomacs-geological-oceanographic-shelf-ratio/683686
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Geoscience Australias GEOMACS model was utilised to produce hindcast hourly time series of continental shelf (~20 to 300 m depth) bed shear stress (unit of measure: Pascal, Pa) on a 0.1 degree grid covering the period March 1997 to February 2008 (inclusive). The hindcast data represents the combined contribution to the bed shear stress by waves, tides, wind and density-driven circulation. Ecological data collected from Torres Strait suggests that bed shear stresses exceeding 0.4 Pa are important in determining the species present (Long, Bode, and Pitcher 1997). Although this data may not be representative of other regions or benthic communities, it has been utilised to calculate two parameters for determining the relationship between shear bed stress and the benthic community. One of the parameters, which is denoted byW, and is calculated using; W=A/B, where A= t.dt for t greater and equal to 0.4 and B= t.dt represents the stress in excess of 0.4 Pa integrated over time as a proportion of the total stress integrated over time, and is intended to represent the proportion of the total integrated stress that has some control on the benthic community (Hughes and Harris 2008). This dataset is a contribution to the CERF Marine Biodiversity Hub and is hosted temporarily by CMAR on behalf of Geoscience Australia.
澳大利亚地球科学局(Geoscience Australia)的GEOMACS模型被用于生成大陆架(水深约20至300米)床面剪切应力(bed shear stress,单位:帕斯卡,Pa)的后报(hindcast)逐小时时间序列,其覆盖范围为0.1度网格,时间跨度为1997年3月至2008年2月(含首尾)。该后报数据反映了波浪、潮汐、风及密度驱动环流对床面剪切应力的综合贡献。从托雷斯海峡收集的生态数据表明,超过0.4 Pa的床面剪切应力对决定现存物种具有重要意义(Long, Bode, and Pitcher 1997)。尽管该数据可能无法代表其他区域或底栖群落(benthic communities),但它已被用于计算两个参数,以确定床面剪切应力与底栖群落之间的关系。其中一个参数用W表示,计算公式为W=A/B,式中A为t≥0.4时的床面剪切应力随时间的积分(代表超过0.4 Pa的应力积分),B为总床面剪切应力随时间的积分;该参数旨在反映对底栖群落有一定控制作用的总积分应力所占比例(Hughes and Harris 2008)。本数据集是对CERF海洋生物多样性中心(CERF Marine Biodiversity Hub)的贡献,由CMAR代表澳大利亚地球科学局临时托管。
提供机构:
Australian Ocean Data Network



