A microwave emissivity model of sea surface under wave breaking

Wei, E.; Ge, Yong

doi:10.1088/1009-1963/14/6/036

Cited by 14 publications

(4 citation statements)

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“…From Fig. 3 it remains unclear where quantitative distinctions lie between warm and cold clouds, while that analysis also neglects potential nonmicrophysical influences on T b s. Such nonmicrophysical influences can include low-level wind influences on surface roughness and adjustments to sea surface emissivity (e.g., Stogryn 1972;Schluessel and Luthardt 1991;En-Bo and Yong 2005). The Microwave Radiative Transfer Model (MWRT; Liu 1998) is used to further elucidate T b influences from hydrometeors and other possibilities.…”

Section: Pm Interpretation and Controlsmentioning

confidence: 99%

Passive Microwave Quantification of Tropical Cyclone Inner-Core Cloud Populations Relative to Subsequent Intensity Change

Harnos

Nesbitt

2016

Monthly Weather Review

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Characteristics of over 15 000 tropical cyclone (TC) inner cores are evaluated coincidentally using 37-and 85-GHz passive microwave data to quantify the relative prevalence of cold clouds (i.e., deep convection and stratiform clouds) versus predominantly warm clouds (i.e., shallow cumuli and cumulus congestus). Results indicate greater presence of combined liquid and frozen hydrometeors associated with cold clouds within the atmospheric column for TCs undergoing subsequent rapid intensification (RI) or intensification. RI episodes compared to the full intensity change distribution exhibit approximately an order of magnitude increase for inner-core cold cloud frequency relative to warm cloud presence. Incorporation of an objective ring detection algorithm shows the robust presence of rings associated with hydrometeors for 85-GHz polarization corrected temperatures (P 85 ) and 37-GHz vertically polarized brightness temperatures (V 37 ) for differentiating RI with significance levels $99.99%, while 37-GHz false color rings of a combined cyan and pink appearance surrounding a region that is not cyan or pink lack statistical significance for discriminating RI against lesser intensification. Rings of depressed P 85 and enhanced V 37 tied to RI suggest the combined presence of liquid and frozen hydrometeors within the atmospheric column, indicative of cold clouds. The V 37 rings also exhibit preferences for those with collocated more widespread P 85 ice scattering signatures to be more commonly associated with RI and general intensification.

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Section: Pm Interpretation and Controlsmentioning

confidence: 99%

Passive Microwave Quantification of Tropical Cyclone Inner-Core Cloud Populations Relative to Subsequent Intensity Change

Harnos

Nesbitt

2016

Monthly Weather Review

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“…All models for surface description can be divided into being either electrodynamic (mathematical) [22,23] or empirical (practical) [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. Mathematical models are well developed based on the general laws of electrodynamics and have been applied to remote sensing problems for a long time.…”

Section: Methodsmentioning

confidence: 99%

“…The sea surface model with foam (excluding illumination) [24,25,28] is interesting, because the regression relations include the wind speed V as a parameter. It makes it possible to estimate this characteristic.…”

Section: Sea Surface With Foammentioning

confidence: 99%

Relation Models of Surface Parameters and Backscattering (or Radiation) Fields as a Tool for Solving Remote Sensing Problems

Nezhalska,

Volosyuk,

Bilousov

et al. 2024

Computation

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In this paper, an analysis of existing models for describing surfaces of various types is performed, and the possibilities of their application at the level of mathematical modeling are analyzed. Moreover, due to the large number of models and the complexity of selecting the appropriate model, e.g., when conducting a practical experiment, an algorithm for choosing a specific model depending on the initial data is proposed. According to the algorithm, a software prototype that implements this algorithm (written in Python) is proposed.

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“…Empirical models are mainly created for the remote sensing of a specific type of earth surface or for a specific experiment. Among such models are, e.g., the foam surface model [14,15], the    model [16], and the p Q model [17].…”

Section: Analysis Of Existing Modelsmentioning

confidence: 99%

Study on potential application of brightness temperature models in passive remote sensing

Nezhalskaya,

Volosyuk,

Bilousov

et al. 2024

reks

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In the modern science and practice of remote sensing of any surface, including various types of land cover, radio systems are widely used. Due to low energy consumption and high stealth, the most promising direction of technical tools for remote sensing is the development of passive remote sensing systems. To estimate the specific parameters of the surface, information on the relation between the signals of the thermal radiation and these parameters is needed. Therefore, it is relevant to study and analyze the existing types of such relations that connect the brightness temperature and the parameters of the Earth’s surfaces; this is the subject matter of the study in this paper. The goal of this study is to analyze existing relation models and study the conditions of their application in terms of operating frequencies, geometric characteristics, type of surface coverage (with vegetation, without vegetation, etc.), as well as the method of obtaining mathematical relations (electrodynamic models or empirical models). Due to the large number of different types of earth surface coverings and different types of surface models, in order to simplify remote sensing tasks for passive systems, as well as to improve the results of modeling or experiments, the following tasks are formulated: to study and classify existing models of the relation between surface parameters and brightness temperature, and to calculate and analyze the potential accuracy of estimating surface parameters by passive remote sensing systems. The following results were obtained: the impact of the atmosphere on the surface’s brightness temperature, described by the electrodynamic flat model, for the operating frequencies 75–110 GHz of the radiometer was analyzed. The impact of the atmosphere on the brightness temperature appears at sighting angles greater than 50° at horizontal polarization and greater than 80° at vertical polarization. According to the results, it can be said that the estimation accuracy of the imaginary part of the complex permittivity decreases with an operating wavelength decrease, and the estimation accuracy of the real part is the opposite. Conclusions. The results of simulation modeling show that for radiometers with the above-mentioned operating frequencies, it is possible to estimate the real permittivity or only the real component separately in the case of describing the surface with a complex permittivity parameter. It is recommended that the study be conducted at vertical and horizontal polarizations, without and with the impact of the atmosphere. To estimate the surface conductivity (the imaginary part of the complex permittivity of a surface), systems with lower operating frequencies are required. Thus, this study presents an analysis of existing models, calculates the potential accuracy of parameters estimation when using these models, and provides recommendations for practical experiments or modeling.

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A microwave emissivity model of sea surface under wave breaking

Cited by 14 publications

References 0 publications

Passive Microwave Quantification of Tropical Cyclone Inner-Core Cloud Populations Relative to Subsequent Intensity Change

Passive Microwave Quantification of Tropical Cyclone Inner-Core Cloud Populations Relative to Subsequent Intensity Change

Relation Models of Surface Parameters and Backscattering (or Radiation) Fields as a Tool for Solving Remote Sensing Problems

Study on potential application of brightness temperature models in passive remote sensing

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