globalchange  > 过去全球变化的重建
DOI: 10.2172/1228760
报告号: DOE-CSU--002631
报告题名:
Use of DOE SGP Radars in Support of ASR Modeling Activities
作者: Rutledge, Steven A.
出版年: 2015
发表日期: 2015-12-13
总页数: 7
国家: 美国
语种: 英语
中文主题词: ; 降水 ; 速度
主题词: CLOUDS ; PRECIPITATION ; VELOCITY
英文摘要: The objective of this work was to use the DOE Southern Great Plains (SGP) precipitation radars to investigate physical characteristics of clouds and precipitation, and use this knowledge in support of DOE ASR modeling efforts. The goal was to develop an integrated data set based on the SGP instrumentation to yield statistically robust fields to aid in the task of verifying simulated cloud dynamical and microphysical fields. For this effort we relied heavily on the ARM scanning precipitation radars, X-SAPR’s and C-SAPR, and also incorporating data from wind profilers, surface disdrometers and the nearby WSR-88D radar, KVNX. Initially we lent our expertise to quality controlling the data from the newly installed ARM radars, particularly the X-band polarimetric data, and additionally assessed automatic radial velocity unfolding algorithms developed by other ASR researchers. We focused our efforts on four cases from the MC3E field campaign in 2011 and developed a dataset including microphysical information derived from hydrometeor identification and kinematic analysis using multiple-Doppler retrieval techniques. This dataset became a PI product and was released to the community in 2014. This analysis was used to investigate the source of big drops (> 5 mm) observed with disdrometers at the surface. It was found that the big drops were coincident with the strongest updrafts, suggesting they resulted from the melting of large precipitation ice, likely hail. We teamed up with W-K Tao and T. Matsui to statistically compare radar-derived observational kinematics and microphysics to WRF model output for the 25 April 2011. Comparisons highlighted some areas where the model may need improvement, such as generating too much hail and big drops, as well as overly-strong updrafts and overly-weak of downdrafts.
URL: http://www.osti.gov/scitech/servlets/purl/1228760
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/41682
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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Rutledge, Steven A.. Use of DOE SGP Radars in Support of ASR Modeling Activities. 2015-01-01.
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