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Applied Mathematics (atmospheric) PhD Projects, Programs & Scholarships

We have 18 Applied Mathematics (atmospheric) PhD Projects, Programs & Scholarships

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  SCENARIO - Trapped lee waves as a source of low-level drag on the atmosphere
  Research Group: SCENARIO NERC DTP
  Dr MA Teixeira, Dr SL Gray
Application Deadline: 31 January 2020

Funding Type

PhD Type

Atmospheric models used for numerical weather prediction and climate modelling have large uncertainties in their representation of small-scale processes that contribute to uncertainties in the large-scale movement of air termed the atmospheric circulation.
  Research Studentship in multi-scale aerodynamic modelling of wind farms and complex terrain
  Dr T Nishino
Application Deadline: 24 January 2020

Funding Type

PhD Type

Research Studentship in multi-scale aerodynamic modelling of wind farms and complex terrain. 4-year DPhil studentship, available from October 2020.
  SCENARIO - Using high-resolution climate models to predict increases in atmospheric turbulence
  Research Group: SCENARIO NERC DTP
  Prof P Williams, Dr R Schiemann
Application Deadline: 31 January 2020

Funding Type

PhD Type

Atmospheric turbulence is the leading cause of in-flight injuries to air travellers and flight attendants. Tens of thousands of aircraft encounter severe turbulence annually, injuring hundreds of people and causing structural damage to planes.
  SCENARIO - Turbulence and Clouds
  Research Group: SCENARIO NERC DTP
  Dr H Weller, Prof P Clark
Application Deadline: 31 January 2020

Funding Type

PhD Type

The representations of clouds and associated buoyant atmospheric convection are arguably the weakest aspects of weather and climate models, leading to poor forecasts and unreliable projections of the regional impacts of climate change.
  High-resolution Imaging of Near-Earth Objects and Space Debris: Real-Time Atmospheric Tomographic Signal Processing
  Dr SJ Waddell, Dr R Clare
Applications accepted all year round

Funding Type

PhD Type

The research project is concerned with development and implementation of signal and image processing algorithms for predicting a distortion function when viewing an artificial satellite or large space debris objects thorough atmospheric turbulence and with the aid of a 60 cm to 100 cm optical telescope.
  SCENARIO - Investigating the climate feedbacks that will determine the fate of the Greenland ice sheet
  Research Group: SCENARIO NERC DTP
  Dr R Smith, Dr J Gregory, Dr J Robson
Application Deadline: 31 January 2020

Funding Type

PhD Type

Sea level change is one of the mostly widely recognised and potentially serious consequences of climate change due to emissions of greenhouse gases.
  Tropical weather systems and their global impacts: How will they evolve with climate change? (MATTHEWSAU20SCIO)
  Prof A J Matthews, Prof D Stevens
Application Deadline: 30 January 2020

Funding Type

PhD Type

The eastern Indian and western Pacific Oceans form the “tropical warm pool”, the largest area of warm ocean on the planet. The warm pool provides the heat and moisture for the most intense atmospheric convection (thousands of cumulonimbus clouds) on Earth.
  SCENARIO - Fundamental Mechanisms of Arctic Summer-time Cyclone Growth and Sea-Ice Interaction
  Research Group: SCENARIO NERC DTP
  Prof J Methven, Dr B Harvey
Application Deadline: 31 January 2020

Funding Type

PhD Type

As the climate has warmed in response to increasing greenhouse gases, the September minimum in Arctic sea-ice extent has decreased dramatically and the drift speed of summer Arctic pack ice has increased, attributed to thinner ice.
  SCENARIO - Using Aircraft Observations Improve Understanding of Mineral Dust Transport and Deposition Processes
  Research Group: SCENARIO NERC DTP
  Dr C Ryder, Dr N Bellouin
Application Deadline: 31 January 2020

Funding Type

PhD Type

Every year thousands of tonnes of mineral dust particles are uplifted from arid regions by strong winds. While in the atmosphere, mineral dust is a hazard for health, transport and solar energy generation.
  Enhancing predictability in chaotic systems
  Dr F Ginelli, Prof A Politi
Applications accepted all year round

Funding Type

PhD Type

The goal of this research program – which involves theoretical analysis and numerical simulations -- is to apply fundamental results and recent developments (to which the supervisors significantly contributed) of dynamical system theory to enhance our ability to predict the future evolution of complex and chaotic dynamical systems -- such as weather and climate systems.
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