School of Earth and Environment

Anya Schlich-Davies Anya Schlich-Davies

Postgraduate Researcher

Email address: eeasd@leeds.ac.uk

Affiliation: Institute for Climate and Atmospheric Science

Biography

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.

Qualifications

2011-2014 Physical Geography BSc, University of Sheffield

2015-2016 Polar and Alpine Change MSc, University of Sheffield

Teaching Interests

SoEE270 Blencathra Meteorology Fieldtrip

GEO3669 The Cryosphere

Project details

Project title

Himalayan glacier response to future atmospheric forcing.

Supervisors

Dr Andrew Ross (SEE)

Dr Duncan Quincey (SoG)

Funding

Priestley International Centre for Climate Change and the University of Leeds

Start date

1 October 2016

Project outline

I am using recently available high resolution (~1.5km) satellite imagery and atmospheric simulations to downscale and validate current coarse climate simulations for the Himalayas, in order 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.