Anya Schlich-Davies

Anya Schlich-Davies

Profile

I started my PhD in October 2016, where I am using atmospheric and glacier modelling to produce catchment scale predictions, to improve on the current coarser predictions, of Himalayan glacier response to climate change.

I completed an MSc in Polar and Alpine Change at the University of Sheffield in September. My dissertation was titled 'How will the decline of sea-ice in the Russian Arctic seas influence phytoplankton productivity?' and involved analysis of satellite imagery, as well as modelling of sea ice, nutrient availability and sea surface temperature as key controls over phytoplankton growth. During my Masters I spent 6 weeks at UNIS (Svalbard), where I took a course in 'Melt Season Dynamics'.

I graduated from a BSc in Physical Geography from Sheffield in 2014. My undergraduate dissertation used data collected over 6 weeks on several glaciers in Switzerland to analyse the effect of supraglacial debris layer thickness and grain size on glacier melt.

 

Research interests

Project title: Himalayan glacier response to future atmospheric forcing.

Supervised by:

  • Dr Andrew Ross (SEE)
  • Dr Duncan Quincey (SoG)

Funded by:

  • Priestley International Centre for Climate Change and the University of Leeds

Project description:

I am using recently available high resolution (~1.5km) satellite imagery and atmospheric simulations to downscale and validate current coarse climate simulations for the Everest region of the Nepal Himalaya, with a focus on the Khumbu glacier. The aim is to improve predictions of future glacier change in the region. Catchment scale precipitation and temperature datasets will be used in order to refine climate inputs, enabling 3D glacier energy, mass balance and runoff models to be created. Catchment specific variables, particularly supraglacial debris cover, will be included in these simulations. The uncertainty associated with these models will be tested and quanitified, and field observations will be used for validation.