Gregory L. Roff
Bureau of Meteorology
6 Papers
18 Citations
Gregory L. Roff is an academic researcher from Bureau of Meteorology. The author has contributed to research in topics: Numerical weather prediction & Precipitation. The author has an hindex of 5, co-authored 6 publications.
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Papers
Thermal and dynamical changes of the stratosphere since 1979 and their link to ozone and CO2 changes
TL;DR: In this paper, the authors compared results from simulations of the Freie Universitat Berlin Climate Middle Atmosphere Model (FUB CMAM) using observed stratospheric ozone (O3) losses and CO2 increases.
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Nonlinear precipitation response to El Niño and global warming in the Indo-Pacific
TL;DR: In this paper, precipitation changes over the Indo-Pacific during El Nino events are studied using an Atmospheric General Circulation Model forced with sea-surface temperature (SST) anomalies and changes in atmospheric CO2 concentrations.
109
Implementation of the initial ACCESS numerical weather prediction system
Ajay K Puri,Gary S. Dietachmayer,Peter Steinle,Martin Dix,Lawrence Rikus,Flora J Logan-Klumpler,Matthew T. Naughton,Chris Tingwell,Yi Xiao,V. Barras,I. Bermous,Jennifer R. Bowen,Marjanne J L Deschamps,Richard C Franklin,J. R. Fraser,Tomasz J. Glowacki,B. Harris,J. Lee,Tan Le,Gregory L. Roff,S A Sulaiman,H Sims,X. Sun,Zhian Sun,H Zhu,Mohar Chattopadhyay,Chermelle Engel +26 more
- 01 Jan 2013
100
Tropical convective variability in the CAPE phase space
Gregory L. Roff,Jun-Ichi Yano +1 more
TL;DR: In this article, the authors examined the relationship between pseudo-adiabatic and reversible convective available potential energy (CAPE) in the tropical atmosphere using the TOGA Coupled Ocean-Atmosphere Response Experiment (COARE) radiosonde dataset.
14
On the influence of simulated SST warming on rainfall projections in the Indo-Pacific domain: an AGCM study
Huqiang Zhang,Yuheng Zhao,Yuheng Zhao,Aurel Moise,Harvey Ye,Robert Colman,Gregory L. Roff,Mei Zhao +7 more
TL;DR: The authors conducted a series of Atmospheric General Circulation Model (AGCM) experiments with different future sea surface temperature (SST) warming simulated by a range of coupled climate models to assess the extent to which uncertainty from current coupled climate model rainfall projections can be attributed to their simulated SST warming.
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