Assimilation of GPSRO Bending Angle Profiles into the Brazilian Global Atmospheric Model

Autor:	Ivette H. Banos, Luiz Fernando Sapucci, Carlos Frederico Bastarz, Lidia Cucurull, Bruna Barbosa Silveira
Rok vydání:	2019
Předmět:	010504 meteorology & atmospheric sciences Mean squared error Meteorology Science Meridional wind 0211 other engineering and technologies numerical weather prediction 02 engineering and technology Atmospheric model 01 natural sciences GSI Data assimilation Radio occultation data assimilation Physics::Atmospheric and Oceanic Physics bending angle 021101 geological & geomatics engineering 0105 earth and related environmental sciences Data source GPSRO business.industry Numerical weather prediction Global Positioning System General Earth and Planetary Sciences Environmental science radio occultation data business
Zdroj:	Remote Sensing, Vol 11, Iss 3, p 256 (2019) Remote Sensing Volume 11 Issue 3
ISSN:	2072-4292
DOI:	10.3390/rs11030256
Popis:	The Global Positioning System (GPS) Radio Occultation (RO) technique allows valuable information to be obtained about the state of the atmosphere through vertical profiles obtained at various processing levels. From the point of view of data assimilation, there is a consensus that less processed data are preferable because of their lowest addition of uncertainties in the process. In the GPSRO context, bending angle data are better to assimilate than refractivity or atmospheric profiles however, these data have not been properly explored by data assimilation at the CPTEC (acronym in Portuguese for Center for Weather Forecast and Climate Studies). In this study, the benefits and possible deficiencies of the CPTEC modeling system for this data source are investigated. Three numerical experiments were conducted, assimilating bending angles and refractivity profiles in the Gridpoint Statistical Interpolation (GSI) system coupled with the Brazilian Global Atmospheric Model (BAM). The results highlighted the need for further studies to explore the representation of meteorological systems at the higher levels of the BAM model. Nevertheless, more benefits were achieved using bending angle data compared with the results obtained assimilating refractivity profiles. The highest gain was in the data usage exploring 73.4% of the potential of the RO technique when bending angles are assimilated. Additionally, gains of 3.5% and 2.5% were found in the root mean square error values in the zonal and meridional wind components and geopotencial height at 250 hPa, respectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e5c4c73b77d143c4b07dd93eacd6d19 https://doi.org/10.3390/rs11030256 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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