globalchange  > 过去全球变化的重建
DOI: 10.2172/1254313
报告号: DOE/SC--ARM-15-067
报告题名:
Observations and Modeling of the Green Ocean Amazon: Sounding Enhancement Field Campaign Report
作者: Schumacher, Courtney
出版年: 2016
发表日期: 2016-05-01
总页数: 10
国家: 美国
语种: 英语
英文关键词: boundary layer properties ; Amazon ; convective cloud growth ; climate models ; convective available potential energy
中文主题词: 大气科学 ; 大气辐射 ; 风廓线 ; 降水
主题词: ATMOSPHERE ; ATMOSPHERIC RADIATION ; WIND PROFILES ; PRECIPITATION
英文摘要: The goal of this campaign was to provide higher temporal sampling of the vertical structure of the atmosphere during the two intensive observational periods (IOPs) of the GoAmazon 2014/15 campaign. The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s first ARM Mobile Facility (AMF1) baseline launches for 2014 and 2015 was 4 sondes/day at 2 am, 8 am, 2 pm, and 8 pm local time (LT) (6, 12, 18 and 0 Coordinated Universal Time [UTC]). However, rapid changes in boundary layer and free tropospheric temperature, humidity, and wind profiles happen throughout the diurnal cycle over Manaus, Brazil's complex forest canopy with resulting responses in aerosol, cloud, and precipitation characteristics. This campaign increased sampling to 5 sondes/day for the 2014 wet and dry season IOPs by adding a launch at 11 am (15 UTC) to capture rapid changes in boundary layer properties and convective cloud growth during that time. The extra launch also corresponded to the time of day the ARM Gulfstream (G-1) and German HALO aircraft most often flew, thus providing useful measurements of the large-scale environment during the flights. In addition, the extra launch will significantly add to the quality of AMF1 instrument retrievals and variational analysis forcing data set during the IOPs.
URL: http://www.osti.gov/scitech/servlets/purl/1254313
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/42119
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Schumacher, Courtney. Observations and Modeling of the Green Ocean Amazon: Sounding Enhancement Field Campaign Report. 2016-01-01.
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