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DOI10.2172/1254313
报告编号DOE/SC--ARM-15-067
来源IDOSTI ID: 1254313
Observations and Modeling of the Green Ocean Amazon: Sounding Enhancement Field Campaign Report
Schumacher, Courtney
2016-05-01
出版年2016
页数10
语种英语
国家美国
出版者DOE ARM Climate Research Facility, Pacific Northwest National Laboratory, Richland, WA
领域地球科学
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.
英文关键词boundary layer properties Amazon convective cloud growth climate models convective available potential energy
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来源平台US Department of Energy (DOE)
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文献类型科技报告
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/7323
专题地球科学
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Schumacher, Courtney. Observations and Modeling of the Green Ocean Amazon: Sounding Enhancement Field Campaign Report:DOE ARM Climate Research Facility, Pacific Northwest National Laboratory, Richland, WA,2016.
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