Advanced Microwave Radiometer for Rain Identification (ADMIRARI II)

用于降雨识别的先进微波辐射计 (ADMIRARI II)

• 批准号: 184729838
• 负责人: Professor Dr. Ulrich Löhnert
• 金额: --
• 依托单位: Department of Physics and Astronomy
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2013-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/184729838?language=en
• 关键词: Advanced; Microwave; Radiometer; Rain; Identification

The Advanced Microwave Radiometer for Rain Identification (ADMIRARI) was built and taken into operation in 2007. Since then ADMIRARI has taken part in several measurement campaigns and demonstrated its ability to deliver unprecedented continuous estimates of the path-integrated water vapor content, cloud liquid water content, and rain water under all-weather conditions. We propose to exploit the unique potential of this instrument in order to significantly reduce current uncertainties concerning the following questions:1 Which microphysical cloud properties characterize warm rain events, and what are the typical time-scales of the related cloud-to-rain conversion processes?2 What is the typical range of microphysical properties of ice- and mixed-phase precipitating clouds, and how do they vary with region and season?3 How well do cloud resolving weather forecast models represent the observed microphysical properties?In order to approach questions 2 and 3 with ADMIRARI is the following question must be solved:4 What are the microwave radiative properties of the melting layer, and how can we accommodate these in models for active and passive microwave radiative transfer in a physically consistent way?In order to optimally exploit the unique capability of ADMIRARI, we propose to join several field validation experiments of the Global Precipitation Measurement mission (GPM). The active microwave instruments deployed side-by-side with ADMIRARI will supply information on the spatial structure of precipitation systems. An additional dual-polarization high-frequency microwave radiometer will improve the quantitative estimate especially of microphysical properties of liquid and frozen hydrometeors.

2007年建造并投入使用了用于雨水识别的高级微波辐射计。从那时起，ADMIRARI参加了几次测量活动，并证明了其在全天候条件下提供前所未有的路径综合水汽含量，云液态水含量和雨水的连续估计的能力。我们建议利用这一工具的独特潜力，以显着减少目前的不确定性，有关以下问题：1微物理云的特性特征暖雨事件，以及什么是典型的时间尺度的相关的云-雨转换过程？2.冰相和混合相降水云的微物理特性的典型范围是什么，它们如何随地区和季节而变化？3云分辨天气预报模型对观测到的微物理特性的表现如何？为了接近问题2和3与ADMIRARI是以下问题必须解决：4什么是熔融层的微波辐射特性，以及我们如何能够适应这些在模型中的主动和被动微波辐射传输在物理上一致的方式？为了最佳地利用ADMIRARI的独特能力，我们建议加入全球降水测量使命（GPM）的几个现场验证实验。与ADMIRARI并列部署的有源微波仪器将提供关于降水系统空间结构的信息。一个额外的双极化高频微波辐射计将改善定量估计，特别是对液态和冷冻水凝物的微物理特性的定量估计。

项目成果

Cloud and precipitation properties from ground-based remote-sensing instruments in East Antarctica

• DOI: 10.5194/tc-9-285-2015
• 发表时间: 2015-01-01
• 期刊: CRYOSPHERE
• 影响因子: 5.2
• 作者: Gorodetskaya, I. V.;Kneifel, S.;Van Lipzig, N. P. M.
• 通讯作者: Van Lipzig, N. P. M.

How does the spaceborne radar blind zone affect derived surface snowfall statistics in polar regions?

• DOI: 10.1002/2014jd022079
• 发表时间: 2014-12
• 期刊: Journal of Geophysical Research: Atmospheres
• 作者: M. Maahn;C. Burgard;S. Crewell;I. Gorodetskaya;S. Kneifel;S. Lhermitte;K. Van Tricht;N. P. M. Lipzig

Improved Micro Rain Radar snow measurements using Doppler spectra post-processing

• DOI: 10.5194/amt-5-2661-2012
• 发表时间: 2012-01-01
• 期刊: ATMOSPHERIC MEASUREMENT TECHNIQUES
• 影响因子: 3.8
• 作者: Maahn, M.;Kollias, P.
• 通讯作者: Kollias, P.

Developing and Evaluating Ice Cloud Parameterizations for Forward Modeling of Radar Moments Using in situ Aircraft Observations

开发和评估冰云参数化，以利用现场飞机观测对雷达时刻进行正向建模

• DOI: 10.1175/jtech-d-14-00112.1
• 发表时间: 2015
• 期刊: Journal of Atmospheric and Oceanic Technology
• 影响因子: 2.2
• 作者: U. Löhnert;P. Kollias;R. C. Jackson;G. M. McFarquhar
• 通讯作者: G. M. McFarquhar

Partitioning of cloud water and rainwater content by ground‐based observations with the Advanced Microwave Radiometer for Rain Identification (ADMIRARI) in synergy with a micro rain radar

• DOI: 10.1029/2011jd016579
• 发表时间: 2012-03
• 期刊: Journal of Geophysical Research
• 作者: P. Saavedra;A. Battaglia;C. Simmer