TOSCA: Development of an optimal estimation technique to profile snowing and thick ice clouds by exploiting a suite of active and passive microwave (PHW) sensors in two configurations by coupling detailed microphysical and electromagnetic models of ice cl
TOSCA: Development of an optimal estimation technique to profile snowing and thick ice clouds by exploiting a suite of active and passive microwave (PHW) sensors in two configurations by coupling detailed microphysical and electromagnetic models of ice cl
批准号:
35224719
负责人:
Dr. Martin Hagen
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2007
资助国家:
德国
项目状态:
已结题
起止时间:
2006-12-31 至 2011-12-31
中文摘要
鉴于数值预报和气候模式中冰冻水流星预报的巨大不确定性,在中高纬度有厚冰和多雪的情况下可靠地监测冰水含量是气象界的一个重要目标。遥感检索是适用于这一目的的唯一手段,因为直接观测,例如飞机观测,只能提供极其有限的空间和时间范围的快照。此外,在这种条件下飞行的危险是取回有用数量的样品的禁忌。我们建议建立一个基于最优估计的算法原型,用于描述降雪和厚冰云的特征,该算法基于非球形冰晶的单次散射(SS)计算数据库以及基于活动观测和PMW观测的研究。原型算法将应用于卫星A-Train星座2和位于UmWeltforschungsStation Schnefernerhaus(UFS)的一套地面仪器,目的是恢复IWC的概况,并在可能的情况下,恢复特定环境条件下的平均大小和类型(习惯)。我们的结果将为评估冷云微物理方案提供一个史无前例的试验台,并将显著提高对中纬度冬季降水系统微物理特征和相关MW信号的理解。
英文摘要
Given the enormous uncertainties in the prediction of frozen hydrometeors in NWP and climate models, reliable monitoring of ice water content (IWC) in the presence of thick ice and snowy conditions at mid and high latitudes is an important goal of the meteorological community. Remote sensing retrievals are the only means suited for this purpose because direct observations, e.g. by airplane, can only deliver snapshots of extremely limited spatial and temporal extent. Moreover, hazards in flying in such conditions are prohibitive for the retrieval of samples of useful quantities. We propose to build a prototype of an optimal-estimation based algorithm for the characterization of snowing and thick ice clouds based on a database of single scattering (SS) computations for non-spherical ice crystals and on studies based on active and PMW observations. The prototype algorithm will be applied to the satellite A-Train constellation2 and to a ground-based suite of instruments located at Umweltforschungsstation Schneefernerhaus (UFS) with the goal of retrieving IWC profiles, and, when possible, mean size and type (habit) for given environmental conditions. Our results will gather an unprecedented test-bed for evaluating cold cloud microphysical schemes and will significantly improve the understanding of the microphysical characteristics of mid-latitude winterly precipitation systems and of related MW signatures.
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DOI:
10.1029/2010jd015430
发表时间:
2011-06
期刊:
Journal of Geophysical Research
影响因子:
--
作者:
[S. Kneifel;M. Kulie;R. Bennartz]
通讯作者:
S. Kneifel;M. Kulie;R. Bennartz
A multisensor approach toward a better understanding of snowfall microphysics the tosca project
更好地理解降雪微物理的多传感器方法托斯卡项目
DOI:
10.1175/2010bams2909.1
发表时间:
2011
期刊:
Bulletin of the American Meteorological Society
影响因子:
8
作者:
[Löhnert, S. Kneifel, A. Battaglia, M. Hagen, L. Hirsch, S. Crewell]
通讯作者:
S. Crewell
Observation of snowfall with a low-power FM-CW K-band radar (Micro Rain Radar)
使用低功率 FM-CW K 波段雷达(微雨雷达)观测降雪
DOI:
10.1007/s00703-011-0142-z
发表时间:
2011
期刊:
Meteorology and Atmospheric Physics
影响因子:
2
作者:
[Kneifel, M. Maahn, G. Peters, C. Simmer]
通讯作者:
C. Simmer
DOI:
10.1175/2009jtecha1332.1
发表时间:
2010-02
期刊:
Journal of Atmospheric and Oceanic Technology
影响因子:
2.2
作者:
[A. Battaglia;E. Rustemeier;A. Tokay;U. Blahak;C. Simmer]
通讯作者:
A. Battaglia;E. Rustemeier;A. Tokay;U. Blahak;C. Simmer
Snow scattering signals in ground‐based passive microwave radiometer measurements
地面无源微波辐射计测量中的雪散射信号
DOI:
10.1029/2010jd013856
发表时间:
2010
期刊:
影响因子:
--
作者:
[Kneifel, U. Löhnert, A. Battaglia, S. Crewell, D. Siebler]
通讯作者:
D. Siebler
共 6 条
Evaluation of the life cycle of deep convection over mountainous terrain using radar, lidar and lightning observations
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批准号:72066299
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项目类别:Priority Programmes
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资助金额:$0.0万
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财政年份:2008
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负责人:Dr. Martin Hagen
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依托单位:
Estimation of areal precipittion by polarimetric weather radar
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批准号:5448369
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2005
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负责人:Dr. Martin Hagen
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依托单位:
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
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: