层状云中熔融层的被动微波特征

Peter Bauer, J.P.V. Poiares Baptista, M. D. Iulis
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引用次数: 0

摘要

在10.7 ~ 85.5 GHz微波频率范围内,研究了熔融粒子对亮温的影响。建立了一个气象模式框架,以确定冻结层以下各种冻结颗粒的融化阶段。比较了计算混合粒子有效介电常数的不同方法。所得消光系数、单次散射反照率和不对称参数表明,当假设含有空气/冰包裹体的水基质时,效果最大。采用马歇尔-帕尔默或伽玛型液滴大小分布的光学参数之间存在20-25%的极端局部差异。当进行辐射传输计算时,在低频处观测到的最大偏差> 20k。忽略融化效应可能导致在层状条件下对地表降雨率的严重高估,最高可达100%。
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Passive microwave signatures of the melting layer in stratiform clouds
A study was carried out in order to estimate the effect of melting particles on brightness temperatures at microwave frequencies between 10.7 and 85.5 GHz. A meteorological model framework was set up to determine the melting stage of various frozen particles below the freezing layer. Different approaches for calculating the effective permittivity of mixed particles were compared. The resulting extinction coefficients, single scattering albedos, and asymmetry parameters indicate a maximum effect when a water matrix with air/ice inclusions is assumed. Extreme local differences of 20-25% between the optical parameters employing either a Marshall-Palmer or a Gamma-type dropsize distribution occur. When radiative transfer calculations are carried out, maximum deviations of >20 K at low frequencies are observed. Neglecting the melting effect may lead to severe overestimations of surface rainrates by up to 100% in stratiform conditions.
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期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
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