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Dr Scott Osprey FRMetS

Senior NCAS Research Scientist

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Climate dynamics
Scott.Osprey@physics.ox.ac.uk
Telephone: 01865 (2)82434,01865 (2)72923
Atmospheric Physics Clarendon Laboratory, room 111
National Centre for Atmospheric Science
SPARC QBOi
Explaining & Predicting Earth System Change
  • About
  • Publications

Origins of Multi-decadal Variability in Sudden Stratospheric Warmings

Copernicus Publications (2021)

Authors:

Oscar Dimdore-Miles, Lesley Gray, Scott Osprey
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Prediction of the quasi‐biennial oscillation with a multi‐model ensemble of QBO‐resolving models

Quarterly Journal of the Royal Meteorological Society Wiley 148:744A (2020) 1519-1540

Authors:

Timothy N Stockdale, Young‐Ha Kim, James A Anstey, Froila M Palmeiro, Neal Butchart, Adam A Scaife, Martin Andrews, Andrew C Bushell, Mikhail Dobrynin, Javier Garcia‐Serrano, Kevin Hamilton, Yoshio Kawatani, Francois Lott, Charles McLandress, Hiroaki Naoe, Scott Osprey, Holger Pohlmann, John Scinocca, Shingo Watanabe, Kohei Yoshida, Seiji Yukimoto

Abstract:

A multi‐model study is carried out to investigate the ability of models to predict the evolution of the quasi‐biennial oscillation (QBO) up to 12 months in advance. All models are initialised from common reanalysis data, and forecasts run for a common set of 30 start dates over 15 years. All models have high skill in predicting the phase evolution of the QBO at 20–30 hPa, with slightly more variable results at higher and lower levels. Other aspects of the predicted QBO are of variable quality, and in some cases are consistently poor. QBO easterlies are too weak in all models at 20–50 hPa, while westerlies can be either too strong or too weak. This results in both a reduced amplitude of the QBO and a westerly bias in zonal‐mean winds, notably at 30 hPa. At 70 hPa models tend to have reduced QBO amplitude and an easterly bias. Despite these failings, a multi‐model ensemble of bias‐ and variance‐corrected forecasts can be used to give accurate and reliable QBO forecasts up to at least a year ahead. Analysis of the zonal momentum budget during the first month of the forecast shows that large‐scale forcing from Eliassen–Palm flux divergence and vertical advection are handled fairly well by the models, although vertical advection terms tend to be weaker than reanalysis estimates. Total tendencies show common errors, suggesting common failings in gravity‐wave drag treatments. Teleconnections from the QBO to Northern Hemisphere winter circulation are also examined, and do not appear to be realistic beyond the first month. Analysis of initialised forecasts is a powerful tool for diagnosing the accuracy of model processes driving the QBO.
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Tropospheric forcing of the 2019 Antarctic sudden stratospheric warming

Geophysical Research Letters American Geophysical Union 47:20 (2020) e2020GL089343

Authors:

Xiaocen Shen, Lin Wang, Scott Osprey

Abstract:

The strongest and most persistent upward propagation of zonal wavenumber 1 (WN1) Rossby waves from the troposphere on record led to the rare Antarctic sudden stratospheric warming (SSW) in September 2019. The dynamical contribution from instantaneous anomalous WN1 and its linear interference with the climatological WN1 contributed equally to the event. The unprecedented WN1 planetary wave behavior is further attributed to a long‐lived midlatitude circumpolar Rossby wave train in the troposphere that was sustained by anomalous convection, first over the subtropical Pacific Ocean east of Australia and then over the eastern South Pacific. Besides the tropospheric wave forcing, the phase of the quasi‐biennial oscillation in the upper stratosphere also facilitated the weakening of polar vortex. Moreover, this SSW strongly influenced the tropospheric circulation via the Southern annular mode, favoring conditions linked to the 2019 bushfires in eastern Australia.
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The Evaluation of the North Atlantic Climate System in UKESM1 Historical Simulations for CMIP6

Journal of Advances in Modeling Earth Systems American Geophysical Union (AGU) 12:9 (2020)

Authors:

Jon Robson, Yevgeny Aksenov, Thomas J Bracegirdle, Oscar Dimdore‐Miles, Paul T Griffiths, Daniel P Grosvenor, Daniel LR Hodson, James Keeble, Claire MacIntosh, Alex Megann, Scott Osprey, Adam C Povey, David Schröder, Mingxi Yang, Alexander T Archibald, Ken S Carslaw, Lesley Gray, Colin Jones, Brian Kerridge, Diane Knappett, Till Kuhlbrodt, Maria Russo, Alistair Sellar, Richard Siddans, Bablu Sinha, Rowan Sutton, Jeremy Walton, Laura J Wilcox
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The American Monsoon System in HadGEM3.0 and UKESM1 CMIP6

Weather and Climate Dynamics Copernicus GmbH (2020)

Authors:

Jorge L García-Franco, Lesley J Gray, Scott Osprey

Abstract:

<p><strong>Abstract.</strong> The simulated climate in the American Monsoon System (AMS) in the CMIP6 submissions of HadGEM3.0 GC3.1 and the UKESM1 is assessed and compared to observations and reanalysis. Pre-industrial control and historical experiments are analysed to evaluate the model representation of this monsoon under different configurations, resolutions and with and without Earth System processes. The simulations exhibit a good representation of the temperature and precipitation seasonal cycles, although the historical experiments overestimate summer temperature in the Amazon, Mexico and Central America by more than 1.5 K. The seasonal cycle of rainfall and general characteristics of the North American Monsoon are well represented by all the simulations. The models simulate the bimodal regime of precipitation in southern Mexico, Central America and the Caribbean known as the midsummer drought, although with a stronger intraseasonal variation than observed. Austral summer biases in the modelled Atlantic Intertropical Convergence Zone (ITCZ), Walker Circulation, cloud cover and regional temperature distributions are significant and influenced the simulated spatial distribution of rainfall in the South American Monsoon. These biases lead to an overestimation of precipitation in southeastern Brazil and an underestimation of precipitation in the Amazon. El Niño Southern Oscillation (ENSO) characteristics and teleconnections to the AMS are well represented by the simulations. The precipitation responses to the positive and negative phase of ENSO in subtropical America are linear in both pre-industrial and historical experiments. Overall, the UKESM has the same performance as the lower resolution simulation of HadGEM3.0 GC3.1 and no significant difference for the AMS was found between the two model configurations. In contrast, the medium resolution HadGEM3.0 GC3.1 N216 simulation outperforms the low-resolution simulations in temperature, rainfall, ITCZ and Walker circulation biases.</p>
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