Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar

Precipitation homogeneity is one of the main factors that contribute to the difference in the rain-rate estimation from meteorological satellites. Using the Tropical Rainfall Measuring Mission (TRMM) products, this paper aims to characterize the homogeneity of ice-scattering signals from TRMM Micro...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Andung Bayu Sekaranom, Emilya Nurjani, Sandy Budi Wibowo, Hirohiko Masunaga
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rain-rate estimation precipitation homogeneity Tropical Rainfall Measuring Mission Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/220b2bbc931a45169035939a60c16120
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:220b2bbc931a45169035939a60c16120
record_format	dspace
spelling	oai:doaj.org-article:220b2bbc931a45169035939a60c161202021-11-25T16:43:54ZCharacterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar10.3390/atmos121113772073-4433https://doaj.org/article/220b2bbc931a45169035939a60c161202021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1377https://doaj.org/toc/2073-4433 Precipitation homogeneity is one of the main factors that contribute to the difference in the rain-rate estimation from meteorological satellites. Using the Tropical Rainfall Measuring Mission (TRMM) products, this paper aims to characterize the homogeneity of ice-scattering signals from TRMM Microwave Imagers (TMIs) as related to rain-rate estimation bias with TRMM Precipitation Radar (PR). Statistical information about the polarization-corrected brightness temperature (PCT) from the TMI 85 GHz band is obtained over the global ocean in the tropics. The characteristics are the fraction of PCT below a given threshold, the minimum value, and the standard deviation that are calculated at a 0.25° × 0.25°grid level. The average values of rain-rate estimation from TRMM PR and TMI in the same grid position and time are then compared. This result indicates that the rain-rate estimation bias is influenced by the homogeneity and organization of precipitation systems. Using the statistical signature of ice-scattering signals at the grid level, an adjustment was implemented for TMI rain-rate estimation. The results could produce rain-rate estimations that conform more to PR, particularly for the inhomogeneous precipitation system mostly affected by stratiform rain. The characterization of ice-scattering signals as a proxy to the precipitation homogeneity, as presented in this research, could be implemented in order to improve the accuracy of satellite rain-rate estimation in the future. Andung Bayu SekaranomEmilya NurjaniSandy Budi WibowoHirohiko MasunagaMDPI AGarticlerain-rate estimationprecipitation homogeneityTropical Rainfall Measuring MissionMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1377, p 1377 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rain-rate estimation precipitation homogeneity Tropical Rainfall Measuring Mission Meteorology. Climatology QC851-999
spellingShingle	rain-rate estimation precipitation homogeneity Tropical Rainfall Measuring Mission Meteorology. Climatology QC851-999 Andung Bayu Sekaranom Emilya Nurjani Sandy Budi Wibowo Hirohiko Masunaga Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
description	Precipitation homogeneity is one of the main factors that contribute to the difference in the rain-rate estimation from meteorological satellites. Using the Tropical Rainfall Measuring Mission (TRMM) products, this paper aims to characterize the homogeneity of ice-scattering signals from TRMM Microwave Imagers (TMIs) as related to rain-rate estimation bias with TRMM Precipitation Radar (PR). Statistical information about the polarization-corrected brightness temperature (PCT) from the TMI 85 GHz band is obtained over the global ocean in the tropics. The characteristics are the fraction of PCT below a given threshold, the minimum value, and the standard deviation that are calculated at a 0.25° × 0.25°grid level. The average values of rain-rate estimation from TRMM PR and TMI in the same grid position and time are then compared. This result indicates that the rain-rate estimation bias is influenced by the homogeneity and organization of precipitation systems. Using the statistical signature of ice-scattering signals at the grid level, an adjustment was implemented for TMI rain-rate estimation. The results could produce rain-rate estimations that conform more to PR, particularly for the inhomogeneous precipitation system mostly affected by stratiform rain. The characterization of ice-scattering signals as a proxy to the precipitation homogeneity, as presented in this research, could be implemented in order to improve the accuracy of satellite rain-rate estimation in the future.
format	article
author	Andung Bayu Sekaranom Emilya Nurjani Sandy Budi Wibowo Hirohiko Masunaga
author_facet	Andung Bayu Sekaranom Emilya Nurjani Sandy Budi Wibowo Hirohiko Masunaga
author_sort	Andung Bayu Sekaranom
title	Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
title_short	Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
title_full	Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
title_fullStr	Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
title_full_unstemmed	Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar
title_sort	characterizing ice-scattering homogeneity in trmm microwave imagers and its influence on oceanic rain-rate estimation bias of trmm precipitation radar
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/220b2bbc931a45169035939a60c16120
work_keys_str_mv	AT andungbayusekaranom characterizingicescatteringhomogeneityintrmmmicrowaveimagersanditsinfluenceonoceanicrainrateestimationbiasoftrmmprecipitationradar AT emilyanurjani characterizingicescatteringhomogeneityintrmmmicrowaveimagersanditsinfluenceonoceanicrainrateestimationbiasoftrmmprecipitationradar AT sandybudiwibowo characterizingicescatteringhomogeneityintrmmmicrowaveimagersanditsinfluenceonoceanicrainrateestimationbiasoftrmmprecipitationradar AT hirohikomasunaga characterizingicescatteringhomogeneityintrmmmicrowaveimagersanditsinfluenceonoceanicrainrateestimationbiasoftrmmprecipitationradar
_version_	1718413004982190080

Characterizing Ice-Scattering Homogeneity in TRMM Microwave Imagers and Its Influence on Oceanic Rain-Rate Estimation Bias of TRMM Precipitation Radar

Ejemplares similares