一、ISO 7078:2020中文标题:房屋建筑—放线、测量和观测程序—词汇和指导性注释英文标题:Building construction--Procedures for setting out,measurement and surveying--Vocabulary and guidance notes该标准修订的目的是为了兼容TC...一、ISO 7078:2020中文标题:房屋建筑—放线、测量和观测程序—词汇和指导性注释英文标题:Building construction--Procedures for setting out,measurement and surveying--Vocabulary and guidance notes该标准修订的目的是为了兼容TC59/SC 2(术语和语言协调分委员会)针对建筑领域内几个不同方面新发布的系列标准。随着国际建筑工程数量的增长和建筑产品国际市场的发展,对跨学科的共同语言的协议的需求日益增加。展开更多
Recent studies have found cold biases in a fraction of Argo profiles (hereinafter referred to as bad Array for Real-time Geostrophic Oceanography (Argo) profiles) due to the pressure drifts during 2003 and 2006. These...Recent studies have found cold biases in a fraction of Argo profiles (hereinafter referred to as bad Array for Real-time Geostrophic Oceanography (Argo) profiles) due to the pressure drifts during 2003 and 2006. These bad Argo profiles have had an important impact on in situ observation-based global ocean heat content esti- mates. This study investigated the impact of bad Argo profiles on ocean data assimilation results that were based on observations from diverse ocean observation systems, such as in situ profiles (e.g., Argo, expendable bathy- thermograph (XBT), and Tropical Atmosphere Ocean (TAO), remote-sensing sea surface temperature products and satellite altimetry between 2004 and 2006. Results from this work show that the upper ocean heat content analysis is vulnerable to bad Argo profiles and demon- strate a cooling trend in the studied period despite the multiple independent data types that were assimilated. When the bad Argo profiles were excluded from the as- similation, the decreased heat content disappeared and a warming occurred. Combination of satellite altimetry and mass variation data from gravity satellite demonstrated an increase, which agrees well with the increased heat con- tent. Additionally, when an additional Argo profile quality control procedure was utilized that simply removed the profiles that presented static unstable water columns, the results were very similar to those obtained when the bad Argo profiles were excluded from the assimilation. This indicates that an ocean data assimilation that uses multiple data sources with improved quality control could be less vulnerable to a major observation system failure, such as a bad Argo event.展开更多
文摘一、ISO 7078:2020中文标题:房屋建筑—放线、测量和观测程序—词汇和指导性注释英文标题:Building construction--Procedures for setting out,measurement and surveying--Vocabulary and guidance notes该标准修订的目的是为了兼容TC59/SC 2(术语和语言协调分委员会)针对建筑领域内几个不同方面新发布的系列标准。随着国际建筑工程数量的增长和建筑产品国际市场的发展,对跨学科的共同语言的协议的需求日益增加。
基金supported by the 973 Program(Grant No.2006CB403606)the Chinese Academy of Sciences(Grant Nos.KZCX2-YW-143 and KZCX2-YW-202)+1 种基金the 863 Program (Grant No.2009AA12Z138)the National Natural Science Foundation of China (Grant Nos.40606008,40437017,and 40221503)
文摘Recent studies have found cold biases in a fraction of Argo profiles (hereinafter referred to as bad Array for Real-time Geostrophic Oceanography (Argo) profiles) due to the pressure drifts during 2003 and 2006. These bad Argo profiles have had an important impact on in situ observation-based global ocean heat content esti- mates. This study investigated the impact of bad Argo profiles on ocean data assimilation results that were based on observations from diverse ocean observation systems, such as in situ profiles (e.g., Argo, expendable bathy- thermograph (XBT), and Tropical Atmosphere Ocean (TAO), remote-sensing sea surface temperature products and satellite altimetry between 2004 and 2006. Results from this work show that the upper ocean heat content analysis is vulnerable to bad Argo profiles and demon- strate a cooling trend in the studied period despite the multiple independent data types that were assimilated. When the bad Argo profiles were excluded from the as- similation, the decreased heat content disappeared and a warming occurred. Combination of satellite altimetry and mass variation data from gravity satellite demonstrated an increase, which agrees well with the increased heat con- tent. Additionally, when an additional Argo profile quality control procedure was utilized that simply removed the profiles that presented static unstable water columns, the results were very similar to those obtained when the bad Argo profiles were excluded from the assimilation. This indicates that an ocean data assimilation that uses multiple data sources with improved quality control could be less vulnerable to a major observation system failure, such as a bad Argo event.
