CARS 2009 - CSIRO Atlas of Regional Seas - Australian weekly
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https://researchdata.edu.au/cars-2009-csiro-australian-weekly/955138
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资源简介:
CARS (CSIRO Atlas of Regional Seas) is a digital climatology, or atlas of seasonal ocean water properties: temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate. It comprises gridded fields of mean ocean properties over the period of modern ocean measurement, and average seasonal cycles for that period. It is derived from a quality-controlled archive of all available historical subsurface ocean property measurements - primarily research vessel instrument profiles and autonomous profiling buoys. As data availability has enormously increased in recent years, the CARS mean values are inevitably biased towards the recent ocean state.
CARS2009 covers the full global oceans on a 1/2 degree grid, but until June 2011 only included temperature and salinity fields. The T and S fields were created in July 2009 and were was based on World Ocean Database 2005 (WOD05) [July 2008 Update], surface-pressure-corrected Argo global archives to May 2009, WOCE Global Hydrographic Program (v3.0), and many other datasets available up to 2008. The data was collated from many sources and rigorously screened to form BLUElink Ocean Archive (BOA).
This metadata record describes all CARS parameters, which can then be visualised as a single collection through the portal interface.
区域海洋图集(CARS,全称为CSIRO Atlas of Regional Seas)是一套数字化气候数据集,即季节性海洋水文参数图集,涵盖温度、盐度、溶解氧、硝酸盐、磷酸盐与硅酸盐等参数。该数据集包含现代海洋观测时期内的平均海洋参数格点场,以及该时期内的平均季节循环特征。其数据源为经过质量控制的所有可用历史水下海洋参数测量档案库,主要包括研究船仪器剖面数据与自主剖面浮标数据。由于近年来可用数据量大幅增长,CARS的平均数值不可避免地更偏向于近期的海洋状态。
CARS2009以0.5度格网覆盖全球全部海域,但在2011年6月之前仅包含温度与盐度格点场。其温度(T)与盐度(S)格点场于2009年7月构建完成,数据基础包括2005年世界海洋数据库(WOD05,2008年7月更新版)、截至2009年5月的经海面气压校正的Argo全球档案库、WOCE全球水文计划(v3.0版),以及截至2008年的其他诸多数据集。该数据集从多源数据中整合而来,并经过严格筛选,最终形成BLUElink海洋档案库(BOA)。
本元数据记录对所有CARS参数进行了说明,用户可通过门户界面将这些参数可视化为单一集合数据集。
提供机构:
Australian Ocean Data Network
搜集汇总
数据集介绍

背景与挑战
背景概述
CARS 2009数据集是CSIRO区域海洋图集,提供澳大利亚周边海域的季节性海洋水属性(如温度、盐度等)的数字化气候学数据。该数据集基于现代海洋测量期间的所有可用历史次表层海洋属性测量数据,经过质量控制处理生成网格化平均值和季节性周期。
以上内容由遇见数据集搜集并总结生成



