A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors. (25th January 2023)
- Record Type:
- Journal Article
- Title:
- A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors. (25th January 2023)
- Main Title:
- A 1D Bayesian inversion of microwave radiances using several radiative properties of solid hydrometeors
- Authors:
- Barreyat, Marylis
Chambon, Philippe
Mahfouf, Jean‐François
Faure, Ghislain - Abstract:
- Abstract: 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. Abstract : (a) GMI observations of the Maria cyclone reaching the West Indies on September 22, 2017 for the 183.31 ± 7 GHz frequency. (b) Normalized inversion weights for cloudy and rainy profiles with three single scattering properties (SSPs) (Rosette 3‐bullet in yellow,Abstract: 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. Abstract : (a) GMI observations of the Maria cyclone reaching the West Indies on September 22, 2017 for the 183.31 ± 7 GHz frequency. (b) Normalized inversion weights for cloudy and rainy profiles with three single scattering properties (SSPs) (Rosette 3‐bullet in yellow, Rosette 6‐bullet in red and Sector snowflake in cyan) with observed infrared imagery at frequency 10.3 μm as background. (c) Example of normalized inversion weights. … (more)
- Is Part Of:
- Atmospheric science letters. Volume 24:Number 3(2023)
- Journal:
- Atmospheric science letters
- Issue:
- Volume 24:Number 3(2023)
- Issue Display:
- Volume 24, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 24
- Issue:
- 3
- Issue Sort Value:
- 2023-0024-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2023-01-25
- Subjects:
- cloud -- hydrometeors -- microwave -- snow
Atmospheric physics -- Periodicals
551 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/asl.1142 ↗
- Languages:
- English
- ISSNs:
- 1530-261X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.480000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26110.xml