First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances

Mangla, Rohit; Indu, J.; Chambon, Philippe; Mahfouf, Jean‐François

doi:10.1016/j.atmosres.2021.105564

Cited by 3 publications

(1 citation statement)

References 67 publications

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“…Currently, in most NWP centers exploiting cloudy and rainy radiances, the high microwave frequencies are simulated with a single “optimal” particle shape for snowfall. Several studies focused on searching for optimal particle radiative properties to fit the microwave observation distributions (e.g., Geer & Baordo, 2014; Guerbette et al, 2016; Haddad et al, 2015; Mangla et al, 2021). Optimizations including different solid hydrometeor properties have been investigated: in Geer (2021) a parameter estimation method is used in order to select an optimal shape for several species at the same time.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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

Barreyat

Chambon

Mahfouf

et al. 2023

Atmospheric Science Letters

Self Cite

View full text Add to dashboard Cite

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Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022)

Xu,

Huang,

Min

et al. 2024

Atmospheric Research

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Intercomparison of Resampling Algorithms for Advanced Technology Microwave Sounder (ATMS)

Xie

Weng

2022

Remote Sensing

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The observations from satellite microwave-sounding instruments have been widely used in weather and climate studies. Since the data resolution varies with frequency and satellite viewing angle, it is normally required that the measurements at each frequency be resampled to obtain a uniform resolution prior to various applications. In this study, the ATOVS and AVHRR pre-processing package (AAPP) Fourier transform algorithm is modified for ATMS data and the results are compared with those derived from Backus–Gilbert inversion (BGI) and the original AAPP. From the simulated and observed ATMS data, we demonstrated the new algorithm has better results in terms of imaging quality and noise suppression, compared with BGI and AAPP. In general, our modified AAPP algorithm reduces the error by at least about 0.5 K in ATMS channels 2 and 6 and at all the viewing angles.

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First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances

Cited by 3 publications

References 67 publications

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

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

Impacts of the all-sky assimilation of FY-3D and FY-3E MWHS-2 radiances on analyses and forecasts of Typhoon Muifa (2022)

Intercomparison of Resampling Algorithms for Advanced Technology Microwave Sounder (ATMS)

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