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MRI: Development of A Novel Instrument that Minimizes Uncertainties in Airborne Measurements of Precipitation

MRI: Development of A Novel Instrument that Minimizes Uncertainties in Airborne Measurements of Precipitation
MRI:开发一种新型仪器,最大限度地减少机载降水测量的不确定性
批准号:
1828565
负责人:
Andrew Heymsfield
金额:
$99.18万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2022-09-30

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中文摘要
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英文摘要
Weather radar, satellites, and numerical models all require accurate knowledge of the properties of cloud and precipitation particles. The atmospheric science field has spent decades conducting airborne field measurement campaigns with the goal of collecting as much data as possible to characterize the distribution of droplet and crystal sizes and shapes. However, fundamental limitations of aircraft probes have left many unanswered questions and uncertainties. This award is for the development of a new airborne probe that will enhance the observational research community's efforts to characterize cloud and precipitation particles. The potential societal impacts of this award will be through more accurate precipitation measurements from radar and satellites, and improvements in inputs to weather and climate models. This Major Research Instrumentation development award is for the design and construction of the fourth generation High Volume Precipitation Spectrometer (HVPS-4) for measurement of cloud and precipitation particles. The HVPS-4 will provide orthogonal digital images of cloud and precipitation particles at 50 and 150-micron pixel resolution. The orthogonal views will reduce uncertainties in particle shape, aspect ratio, volume, and mass. The HVPS-4 could be mounted on the NCAR G-V and C-130 research aircraft, or other aircraft that regularly carry particle probes. The instrument has the potential to: 1) Lead to better understanding of cloud microphysical processes and improved estimates of ice and liquid water content in clouds and precipitation, 2) Improve remote retrievals from ground and space-based radar, and 3) Improve microphysical and hydrological parameterizations in weather and climate models.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
Collaborative Research: Using Polarimetric Radar Observations, Cloud Modeling, and In Situ Aircraft Measurements for Large Hail Detection and Warning of Impending Hail
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: