Single-scattering properties of ice particles in the microwave regime: Temperature effect on the ice refractive index with implications in remote sensing

Ding, Jiachen; Bi, Lei; Yang, Ping; Kattawar, George W.; Weng, Fuzhong; Liu, Quanhua; Greenwald, Thomas J.

doi:10.1016/j.jqsrt.2016.11.026

Cited by 36 publications

(55 citation statements)

References 59 publications

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“…1 and Ekelund et al (2017). Only Ding et al (2017) offer the same wide frequency coverage. In comparison to that data, the ARTS database includes a considerably higher number of habits (34 vs. 12) and a somewhat higher coverage in particle size.…”

Section: Discussionmentioning

confidence: 99%

“…The database is not complete, but already this version is more extensive than earlier datasets. The frequency coverage is high, very similar to the one of Ding et al (2017), and multiple temperatures are 15 covered. Full polarimetric data are given.…”

mentioning

confidence: 81%

“…For example, the data of Ding et al (2017) were compared to the scattering properties of more complex, snow-like, particles by Baran et al (2018). The impact of riming on scattering properties was studied by Leinonen and Szyrmer (2015), using a triple frequency approach.…”

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confidence: 99%

“…As all the aggregate habits in Ding et al (2017), as well as in Hong et al (2009), have b = 3 (see Eq. 5), it can be claimed that the ARTS database provides the first publicly available realistic representation of snow aggregates at microwave frequencies above 200 GHz.…”

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confidence: 99%

“…The aggregates of Ding et al (2017) can potentially work as a proxy for hail and heavily rimed particles. The ARTS database contains a more diverse set of particle shapes for these classes, but covers also the 8-column aggregate part of both Hong et al…”

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confidence: 99%

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A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths

Eriksson¹,

Ekelund²,

Mendrok³

et al. 2018

Preprint

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Abstract. A main limitation today in simulations and inversions of microwave observations of ice hydrometeors (cloud ice, snow, hail . . . ) is the lack of data describing the interaction between electromagnetic waves and the particles. To improve the situation, the development of a comprehensive dataset of such "scattering properties" has been started. The database aims at giving a broad coverage in both frequency (1 to 886 GHz) and temperature (190 to 270 K), to support both passive and active current and planned measurements, and to provide data corresponding to the full Stokes vector. This first version of the database 5 is restricted to totally random particle orientation. Data for 34 particle sets, i.e. habits, have been generated. About 17 of the habits can be classified as single crystals, three habits can be seen as heavily rimed particles, and remaining habits are aggregates of different types, representing e.g. snow and hail. The particle sizes considered vary between the habits, but a maximum diameter of 10 and 20 mm are typical values for the largest single crystal and aggregate particles, respectively, and the number of sizes per habit is at least 30. Particles containing liquid water are also inside the scope of the database, but this phase of water is 10 so far only represented by a liquid sphere habit. The database is built upon the netCDF4 file format. Interfaces to browse, extract and convert data for selected radiative transfer models are provided in Matlab and Python. The database and associated tools are publically available from Zenedo (https://doi.org/10.5281/zenodo.1175572 and https://doi.org/10.5281/zenodo.1175588, respectively). Planned extensions include non-spherical rain drops, melting particles and a second orientation case that can be denoted as azimuthally random.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 81%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths

Eriksson¹,

Ekelund²,

Mendrok³

et al. 2018

Preprint

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A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors

Barreyat

Chambon

Mahfouf

et al. 2023

Atmospheric Science Letters

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Numerical weather prediction centers increasingly make use of cloudy and rainy microwave radiances. Currently, the high microwave frequencies are simulated using simplified assumptions regarding the radiative properties of frozen hydrometeors. In particular, one single particle shape is often used for all precipitating frozen particles, all over the globe, and for all cloud types. In this paper, a multi-SSP (single scattering properties) approach for 1D Bayesian inversions is examined. Two experiments were set up: (1) one with three SSPs and (2) one with the previous SSPs plus one which leads to very cold brightness temperature distributions. For that purpose, we used observations from the GPM Microwave Imager radiometer over 2 months period and forecasts from the Météo-France convective scale AROME model. The results showed that mixtures of SSP are chosen by the inversion method for meteorological conditions with low scattering and that a single particle is chosen for those with high scattering to perform the inversions. Despite the fact that no specific weather scenes were found to be associated with a particular SSP the most efficient scattering particles can be favored for some of them.

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Scattering of Hydrometeors

Kneifel

Leinonen

Tyynelä

et al. 2020

Advances in Global Change Research

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Single-scattering properties of ice particles in the microwave regime: Temperature effect on the ice refractive index with implications in remote sensing

Cited by 36 publications

References 59 publications

A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths

A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths

A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors

Scattering of Hydrometeors

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