Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jainn J. Shi"'
Publikováno v:
Monthly Weather Review.
This study uses a model with aerosol-cloud-radiation coupling to examine the impact of Saharan dust and other aerosols on Hurricane Nadine (2012). In order to study aerosol direct (radiation) and indirect (cloud microphysics) effects from individual,
Autor:
Zhining Tao, Dongchul Kim, Toshihisa Matsui, Scott A. Braun, Christa D. Peters-Lidard, Mian Chin, Jainn J. Shi
Publikováno v:
Monthly Weather Review. 146:1813-1835
A Saharan air layer (SAL) event associated with a nondeveloping African easterly wave (AEW) over the main development region of the eastern Atlantic was sampled by the NASA Global Hawk aircraft on 24–25 August 2013 during the NASA Hurricane and Sev
Autor:
Steven G. Decker, Wei-Kuo Tao, Stephen D. Nicholls, Karen I. Mohr, Stephen Lang, Jainn J. Shi
Publikováno v:
Geoscientific Model Development, Vol 10, Iss 2, Pp 1033-1049 (2017)
This study evaluated the impact of five single- or double-moment bulk microphysics schemes (BMPSs) on Weather Research and Forecasting model (WRF) simulations of seven intense wintertime cyclones impacting the mid-Atlantic United States; 5-day long W
Publikováno v:
Geophysical Research Letters. 43:802-811
Based on ensemble numerical simulations, we find that possible responses of Sandy-like superstorms under the influence of a substantially warmer Atlantic Ocean bifurcate into two groups. In the first group, storms are similar to present-day Sandy fro
Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales
Autor:
Qian Tan, Yuqiong Liu, Eric M. Kemp, Bradley Zavodsky, Dongchul Kim, Wei-Kuo Tao, Jonathan L. Case, William K. M. Lau, Arthur Y. Hou, Benjamin F. Zaitchik, Milija Zupanski, Joseph A. Santanello, Zhining Tao, Mian Chin, Kyu-Myong Kim, Toshihisa Matsui, Christa D. Peters-Lidard, Sara Q. Zhang, Sujay V. Kumar, Thomas Clune, Jossy P. Jacob, David Oc. Starr, Jainn J. Shi
Publikováno v:
Environmental Modelling & Software. 67:149-159
With support from NASA's Modeling and Analysis Program, we have recently developed the NASA Unified-Weather Research and Forecasting model (NU-WRF). NU-WRF is an observation-driven integrated modeling system that represents aerosol, cloud, precipitat
Autor:
Miho Sekiguchi, David Oc. Starr, Jainn J. Shi, Filipe Aires, Eric M. Kemp, Toshihisa Matsui, Christa D. Peters-Lidard, Joseph A. Santanello, Dong L. Wu, W.-K. Tao, Mian Chin
Publikováno v:
Journal of Geophysical Research: Atmospheres. 119:8450-8475
Earth System modeling has become more complex, and its evaluation using satellite data has also become more difficult due to model and data diversity. Therefore, the fundamental methodology of using satellite direct measurements with instrumental sim
Autor:
Wei-Kuo Tao, Qian Tan, K. Pickering, Christa D. Peters-Lidard, Stephen Lang, Jainn J. Shi, Nick Guy, E. M. Kemp, Mian Chin, Toshihisa Matsui
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:2158-2175
Aerosols affect the Earth's radiation balance directly and cloud microphysical processes indirectly via the activation of cloud condensation and ice nuclei. These two effects have often been considered separately and independently, hence the need to
Publikováno v:
Journal of Applied Meteorology and Climatology. 51:2090-2104
Episodic events of both Saharan dust outbreaks and African easterly waves (AEWs) are observed to move westward over the eastern tropical Atlantic Ocean. The relationship between the warm, dry, and dusty Saharan air layer on the nearby storms has been
Autor:
Stephen D. Nicholls, Steven G. Decker, Wei-Kuo Tao, Stephen E. Lang, Jainn J. Shi, Karen I. Mohr
This study evaluated the impact of five, single- or double- moment bulk microphysics schemes (BMPS) on Weather Research and Forecasting (WRF) model (version 3.6.1) winter storm simulations. Model simulations were integrated for 180 hours, starting 72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c608edba43c547f10c3e628fd1747e
https://doi.org/10.5194/gmd-2016-151
https://doi.org/10.5194/gmd-2016-151
Autor:
Francisco J. Tapiador, Jainn J. Shi, Arthur Y. Hou, Cecilia Marcos, Carlos F. Angelis, Wei-Kuo Tao, Antonio Ares Rodríguez, Miguel A. Martinez
Publikováno v:
Journal of Applied Meteorology and Climatology. 51:489-504
Ensembles of numerical model forecasts are of interest to operational early warning forecasters as the spread of the ensemble provides an indication of the uncertainty of the alerts, and the mean value is deemed to outperform the forecasts of the ind