Andrew Marshall

Seasonal Prediction Science, Climate Variability and Change Program
Centre for Australian Weather and Climate Research
A partnership between CSIRO and the Bureau of Meteorology

Phone: +61 3 6232 5184
Fax +61 3 6232 5000

Located at CSIRO Marine and Atmospheric Research
GPO Box 1538   Hobart TAS 7000   Australia
Bureau-hosted webpage:

Hobart, Australia:   Live (Rose Bay High School Webcam)









CV (brief)




Professional Experience

Professional Activities


Full CV (.pdf)

Marshall et al. (2016). On the role of anomalous ocean surface temperatures for promoting the record Madden-Julian Oscillation in March 2015. Geophys. Res. Lett., accepted.

Marshall et al. (2015). Subseasonal Prediction of Australian Summer Monsoon Anomalies. Geophys. Res. Lett., accepted.
Hudson et al. (2015). Forewarned is forearmed: Extended range forecast guidance of recent extreme heat events in Australia. Weather and Forecasting, accepted.
Hendon et al. (2015). Comparison of GLOSEA5 and POAMA2.4 hindcasts 1996-2009. CAWCR Technical Report, in press.
Hudson et al. (2015). Forecasting upcoming extreme heat on multi-week to seasonal timescales: POAMA experimental forecast products. Bureau Research Report No. 1. Bur. Met. Aust.
Marshall et al. (2015). Madden Julian Oscillation impacts on global ocean surface waves. Ocean Modelling, 96, 136-147, doi:10.1016/j.ocemod.2015.06.002
Marshall et al. (2015). Initiation and amplification of the Ningaloo Niņo. Clim. Dyn., 45, 2367-2385, doi:10.1007/s00382-015-2477-5
Feng et al. (2015). Decadal increase in Ningaloo Niņo since the late 1990s. Geophys. Res. Lett., doi: 10.1002/2014GL062509

Marshall et al. (2014). Intra-seasonal drivers of extreme heat over Australia in observations and POAMA-2. Clim. Dyn., 43, 1915-1937
Marshall et al. (2014). Simulation and prediction of blocking in the Australian region and its influence on intra-seasonal rainfall in POAMA-2. Clim. Dyn., 42, 3271-3288
Marshall and Hendon (2014). Impacts of the MJO in the Indian Ocean and on the Western Australian coast. Clim. Dyn., 42, 579-595

Pook et al. (2013). The seasonal cycle of blocking and associated physical mechanisms in the Australian region and relationships with rainfall. Mon. Wea. Rev., 141, 4534-4553
Zhao et al. (2013). Improving Multiweek Rainfall Forecasts: Experimentation with the ACCESS climate models. CAWCR Technical Report No. 064
Hudson et al. (2013). Improving intraseasonal prediction with a new ensemble generation strategy. Mon. Wea. Rev., 141, 4429-4449, doi:10.1175/MWR-D-13-00059.1

Marshall and Hendon (2012). Impact of the MJO on the WA marine environment during the monsoon. CAWCR Technical Report No. 056, 62-66.
Marshall et al. (2012). Simulation and prediction of the MJO and its teleconnections using POAMA. CAWCR Technical Report No. 056, 113-116.
Marshall et al. (2012). Evaluating key drivers of Australian intra-seasonal climate variability in POAMA-2: a progress report. CAWCR Research Letters, 7, 10-16
Marshall et al. (2012). Simulation and prediction of the Southern Annular Mode and its influence on Australian intra-seasonal climate in POAMA. Climate Dynamics, 38, 2483-2502, doi:10.1007/s00382-011-1140-z

Hudson et al. (2011). Intraseasonal forecasting of the 2009 summer and winter Australian heat waves using POAMA. Weather and Forecasting, 26, 257-279, doi:10.1175/WAF-D-10-05041.1
Hudson et al. (2011). Bridging the gap between weather and seasonal forecasting: intraseasonal forecasting for Australia. Quart. J. Royal. Met. Soc., doi:10.1002/qj.769
Marshall et al. (2011). Assessing the simulation and prediction of rainfall associated with the MJO in the POAMA seasonal forecast system. Clim. Dyn., 37, 2129-2141, doi:10.1007/s00382-010-0948-2

Marshall and Scaife (2010). Improved predictability of stratospheric sudden warming events in an atmospheric general circulation model with enhanced stratospheric resolution. J. Geophys. Res., 115, D16114, doi:10.1029/2009JD012643
Woollings et al. (2010). Associations between stratospheric variability and tropospheric blocking. J. Geophys. Res., 115, D06108, doi:10.1029/2009JD012742

Marshall et al. (2009). Enhanced seasonal prediction of European winter warming following volcanic eruptions. J. Clim, 22, 6168-6180, doi: 10.1175/2009JCLI3145.1
Marshall and Scaife (2009). Impact of the QBO on surface winter climate. J. Geophys. Res, 114, D18110, doi:10.1029/2009JD011737
Brown et al. (2009). Variability of the Indian Ocean Dipole in coupled model paleoclimate simulations. J. Geophys. Res., 114, D11105, doi:10.1029/2008JD010346
Marshall et al. (2009). A coupled GCM analysis of MJO activity at the onset of El Nino. J. Atmos. Sci., 66, 966-983, doi:10.1175/2008JAS2855.1
Handorf et al. (2009). Climate regime variability for past and present time-slices simulated by the Fast Ocean Atmosphere Model. J. Clim., 22, 58-70, doi:10.1175/2008JCLI2258.1

Marshall and Lynch (2008). The sensitivity of the Australian summer monsoon to climate forcing during the late Quaternary, J. Geophys. Res., 113, D11107, doi:10.1029/2007JD008981
Marshall et al. (2008). An enhanced moisture convergence-evaporation feedback mechanism for MJO air-sea interaction. J. Atmos. Sci., 65, 970-986.

Lynch et al. (2007). Using the paleorecord to evaluate climate and fire interactions in Australia. Annual Review of Earth and Planetary Sciences, 35, 215-239, doi:10.1146/

Marshall and Lynch (2006). Time slice analysis of the Australian summer monsoon during the late Quaternary using the Fast Ocean Atmosphere Model. J. Quaternary Sci., 21, 789-801. ISSN 0267-8179.
Marshall et al. (2006). A wavenumber-frequency spectral analysis of intraseasonal variability in the standard BMRC atmosphere general circulation model. BMRC research report No. 122. Bur. Met. Aust.
Goergen et al. (2006). Impact of abrupt land cover changes by savanna fire on northern Australian climate, J. Geophys. Res., 111, D19106, doi:10.1029/2005JD006860
Zhang et al. (2006). Simulations of the Madden-Julian Oscillation in Four Pairs of Coupled and Uncoupled Global Models. Clim. Dyn., 27, 573-592.

Beringer et al. (2005). A Report On The Scope For The Palaeorecord To Evaluate Historical Climate Variation And Its Effect On Fire Regimes In Australia. Res. Report for the Aust. Greenhouse Office.

Alves et al. (2002). POAMA: Bureau of Meteorology operational coupled model seasonal forecast system. Proc. ECMWF Workshop on the Role of the Upper Ocean in Medium and Extended Range Forecasting, Reading, United Kingdom, ECMWF, 22-32.