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DOI: 10.2172/1302199
报告号: DOE/SC--ARM-16-042
报告题名:
Observations and Modeling of the Green Ocean Amazon 2014/15: Parsivel2 Field Campaign Report
作者: Schumacher, Courtney
出版年: 2016
发表日期: 2016-07-01
总页数: 12
国家: 美国
语种: 英语
英文关键词: cloud microphysical properties ; drop-size distribution ; rain rate ; cloud profiling radar ; wind profiling radar ; convection ; Amazon
中文主题词: 地表 ; 大气辐射 ; 对流 ; ; 降水 ; 速度 ; 雷达
主题词: LAND SURFACE ; ATMOSPHERIC RADIATION ; CONVECTION ; CLOUDS ; PRECIPITATION ; VELOCITY ; RADAR
英文摘要: One of the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s Parsivel2 disdrometers was deployed at the first ARM Mobile Facility (AMF1) T3 site in Manacapuru, Brazil at the beginning of the second Green Ocean Amazon (GoAmazon)2014/15 intensive operational period (IOP2) in September 2014 through the end of the field campaign in December 2015. The Parsivel2 provided one-minute drop-size distribution (DSD) observations that have already been used for a number of applications related to GoAmazon2014/15 science objectives. The first use was the creation of a reflectivity-rain rate (Z-R) relation enabling the calculation of rain rates from the Brazilian Sistema de Protecao da Amazonia (SIPAM) S-band operational radar in Manaus. The radar-derived rainfall is an important constraint for the variational analysis of a large-scale forcing data set, which was recently released for the two IOPs that took place in the 2014 wet and transition seasons, respectively. The SIPAM radar rainfall is also being used to validate a number of cloud-resolving model simulations being run for the campaign. A second use of the Parsivel2 DSDs has been to provide a necessary reference point to calibrate the vertical velocity retrievals from the AMF1 W Band ARM Cloud Radar (WACR) cloud-profiling and ultra-high-frequency (UHF) wind-profiling instruments. Accurate retrievals of in-cloud vertical velocities are important to understand the microphysical and kinematic properties of Amazonian convective clouds and their interaction with the land surface and atmospheric aerosols. Further use of the Parsivel2 DSD observations can be made to better understand precipitation characteristics and their variability during GoAmazon2014/15.
URL: http://www.osti.gov/scitech/servlets/purl/1302199
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/42073
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 2014/15: Parsivel2 Field Campaign Report. 2016-01-01.
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