Quang Thai Trinh
Forschungszentrum Jülich
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Quang Thai Trinh.
Earth System Science Data Discussions | 2018
M. Ern; Quang Thai Trinh; Peter Preusse; John C. Gille; Martin G. Mlynczak; James M. Russell; Martin Riese
Gravity waves are one of the main drivers of atmospheric dynamics. The spatial resolution of most global atmospheric models, however, is too coarse to properly resolve the small scales of gravity waves, which range from tens to a few thousand kilometers horizontally, and from below 1 km to tens of kilometers vertically. Gravity wave source processes involve even smaller scales. Therefore, general circulation models (GCMs) and chemistry climate models (CCMs) usually parametrize the effect of gravity waves on the global circulation. These parametrizations are very simplified. For this reason, comparisons 5 with global observations of gravity waves are needed for an improvement of parametrizations and an alleviation of model biases. We present a gravity wave climatology based on atmospheric infrared limb emissions observed by satellite (GRACILE). GRACILE is a global data set of gravity wave distributions observed in the stratosphere and the mesosphere by the infrared limb sounding satellite instruments High Resolution Dynamics Limb Sounder (HIRDLS) and Sounding of the Atmosphere 10 using Broadband Emission Radiometry (SABER). Typical distributions (zonal averages and global maps) of gravity wave vertical wavelengths and along-track horizontal wavenumbers are provided, as well as gravity wave temperature variances, potential energies and absolute momentum fluxes. This global data set captures the typical seasonal variations of these parameters, as well as their spatial variations. The GRACILE data set is suitable for scientific studies, and it can serve for comparison with other instruments (ground based, airborne, or other satellite instruments) and for comparison with gravity wave distri15 butions, both resolved and parametrized, in GCMs and CCMs. The GRACILE data set is available as supplementary data at https://doi.org/10.1594/PANGAEA.879658.
Supplement to: Ern, M et al. (in review): GRACILE: A comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings. Earth System Science Data Discussions, https://doi.org/10.5194/essd-2017-109 | 2017
M. Ern; Quang Thai Trinh; Peter Preusse; John C. Gille; Martin G. Mlynczak; J. M. Russell; Martin Riese
Gravity waves are one of the main drivers of atmospheric dynamics. The spatial resolution of most global atmospheric models, however, is too coarse to properly resolve the small scales of gravity waves, which range from tens to a few thousand kilometers horizontally, and from below 1 km to tens of kilometers vertically. Gravity wave source processes involve even smaller scales. Therefore, general circulation models (GCMs) and chemistry climate models (CCMs) usually parametrize the effect of gravity waves on the global circulation. These parametrizations are very simplified. For this reason, comparisons with global observations of gravity waves are needed for an improvement of parametrizations and an alleviation of model biases. We present a gravity wave climatology based on atmospheric infrared limb emissions observed by satellite (GRACILE). GRACILE is a global data set of gravity wave distributions observed in the stratosphere and the mesosphere by the infrared limb sounding satellite instruments High Resolution Dynamics Limb Sounder (HIRDLS) and Sounding of the Atmosphere using Broadband Emission Radiometry (SABER). Typical distributions (zonal averages and global maps) of gravity wave vertical wavelengths and along-track horizontal wavenumbers are provided, as well as gravity wave temperature variances, potential energies and absolute momentum fluxes. This global data set captures the typical seasonal variations of these parameters, as well as their spatial variations. The GRACILE data set is suitable for scientific studies, and it can serve for comparison with other instruments (ground-based, airborne, or other satellite instruments) and for comparison with gravity wave distributions, both resolved and parametrized, in GCMs and CCMs. The GRACILE data set is available as supplementary data at https://doi.org/10.1594/PANGAEA.879658. Published by Copernicus Publications. 858 M. Ern et al.: A global climatology of atmospheric gravity waves
Atmospheric Chemistry and Physics | 2014
Peter Preusse; M. Ern; P. Bechtold; Stephen D. Eckermann; Silvio Kalisch; Quang Thai Trinh; Martin Riese
Atmospheric Measurement Techniques | 2014
Quang Thai Trinh; Silvio Kalisch; Peter Preusse; Hye-Yeong Chun; Stephen D. Eckermann; M. Ern; Martin Riese
Atmospheric Chemistry and Physics | 2016
M. Ern; Quang Thai Trinh; Martin Kaufmann; Isabell Krisch; Peter Preusse; Jörn Ungermann; Yajun Zhu; John C. Gille; Martin G. Mlynczak; James M. Russell; Michael J. Schwartz; Martin Riese
Atmospheric Chemistry and Physics | 2016
Quang Thai Trinh; Silvio Kalisch; Peter Preusse; M. Ern; Hye-Yeong Chun; Stephen D. Eckermann; Min Jee Kang; Martin Riese
Journal of Geophysical Research | 2016
S. Kalisch; Hye-Yeong Chun; M. Ern; Peter Preusse; Quang Thai Trinh; Stephen D. Eckermann; M. Riese
Atmospheric Measurement Techniques | 2017
Catrin I. Meyer; M. Ern; Lars Hoffmann; Quang Thai Trinh; M. Joan Alexander
Atmospheric Chemistry and Physics | 2016
M. Ern; Quang Thai Trinh; Martin Kaufmann; Isabell Krisch; Peter Preusse; Jörn Ungermann; Yajun Zhu; John C. Gille; Martin G. Mlynczak; James M. Russell; Michael J. Schwartz; Martin Riese
Annales Geophysicae | 2018
Quang Thai Trinh; M. Ern; Eelco Doornbos; Peter Preusse; Martin Riese