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Hydrology (behaviour) PhD Projects, Programs & Scholarships

We have 5 Hydrology (behaviour) PhD Projects, Programs & Scholarships

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  TINDER - Transport Infrastructure Networks in a Dynamic climate: Evaluating Resilience
  Dr T Dijkstra, Dr X Xia, Dr M Quddus
Application Deadline: 10 January 2020

Funding Type

PhD Type

Reference number. CENTA20-LU4. Start date. 1 October 2020. Closing date. 10 January 2020. Interview date. w/c 3 February 2020. Loughborough University is a top-ten rated university in England for research intensity (REF2014).
  Taking a high frequency pulse of rivers: the new wave of water-quality and pollution checks to support integrated real-time river basin management
  Prof S Krause, Prof D M Hannah, Dr J Larsen
Application Deadline: 10 January 2020

Funding Type

PhD Type

Pollution and water quality concerns within river networks are one of the biggest environmental and health problems facing the planet, impacting water, food, and ecosystem security.
  Dam beavers: quantifying the impacts of nature’s water engineers on the fluvial geomorphology and flood regimes of streams and rivers. PhD in Geography (NERC GW4+ DTP)
  Dr R Brazier
Application Deadline: 6 January 2020

Funding Type

PhD Type

Lead Supervisor. Prof Richard Brazier, Department of Geography, Centre for Resilient Environment, Water and Waste, College of Life and Environmental Sciences, University of Exeter,.
  Evaluating and improving high-resolution high-impact weather numerical weather forecasts
  Dr RS Plant, Dr T Stein
Applications accepted all year round

Funding Type

PhD Type

Over the past decade, high-resolution numerical weather forecasting has become practical using so-called “convection-permitting” models for lead times of 1-24 hours.
  SCENARIO - Detecting severe weather with radars for observations-based nowcasting
  Research Group: SCENARIO NERC DTP
  Dr T Stein, Dr C Westbrook
Application Deadline: 24 January 2020

Funding Type

PhD Type

The Met Office have recently upgraded their weather radars to have Doppler and dual-polarization capabilities, which has produced a wealth of new measurements for data assimilation, model evaluation, and forecasting purposes.
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