five

Atmospheric Aerosols Measured during the U.S. JGOFS Arabian Sea Process Study

收藏
Global Change Master Directory (GCMD)2026-04-25 收录
下载链接:
https://cmr.earthdata.nasa.gov/search/concepts/C1214605806-SCIOPS.html
下载链接
链接失效反馈
官方服务:
资源简介:
A component of U.S. Joint Global Ocean Flux Study (JGOFS) is the Arabian Sea Process Study. Eleven cruises took place aboard the R/V Thomas G. Thompson for about sixteen months from October 1994 until January 1996. These cruises provided seasonal coverage of the annual monsoon and inter-monsoon cycles in the area southeast of Oman - from where the cruises were staged. The monsoons of the Arabian Sea drive a uniquely intense carbon cycling system, and it is the goal of JGOFS to better understand the role of the oceans in global carbon cycling. Aerosols were collected with an air pump onboard ship. Sampling was usually not continuous. Sampling was frequently stopped, whenever sampling conditions were no longer suitable depending upon ship maneuvers and relative wind direction (to prevent ship exhaust contamination). Thus the concentration value at any particular date represents a time integrated sample. The samples were analyzed by short and long irradiation neutron activation analysis. The short irradiation analysis yielded concentrations of aluminum, calcium, manganese, magnesium, sodium, silicon, titanium, and vandium. Long irradiation analysis yielded concentrations of arsenic, bromine, cerium, cobolt, chromium, cesium, europium, iron, gadolinium, hafnium, mercury, lanthanum, lutetium, neodymium, rubidium, antimony, scandium, selenium, samarium, strontium, tantalum, terbium, thorium, thulium, uranium, ytterbium and zinc. The total mass of sample per volume of pumped air yielded the dust concentration. Concentrations are in micrograms per cubic meter of pumped air. The data is public domain and can be retrieved on-line at "http://usjgofs.whoi.edu/jg/dir/jgofs/" [This information was obtained from U.S. JGOFS website at WHOI.]
提供机构:
SCIOPS
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