David’s research focuses on the interactions between climatic and hydrological processes to understand how risks from floods and droughts can be better assessed and managed in a changing climate. His work uses a combination of ground observations, remote sensing and modelling to better understand catchment responses to climate variability and change, as well as the feedbacks between land surface processes and changing climate patterns. For his PhD at Newcastle University (2015-2019), David studied the coupled climatic, cryospheric and hydrological systems of high mountain catchments in the Karakoram-Himalaya, which provide vital water resources for vast downstream populations. As a postdoctoral researcher David has also worked on a global analysis of sub-daily precipitation extremes (https://research.ncl.ac.uk/intense/), as well as climate change scenarios for integrated water resources modelling in large and vulnerable basins (http://www.futuredams.org/). David is interested in how climate information can be best used to guide climate change adaptation in the management of water resources and catchment systems, in the context of increasing risks from extreme hydrometeorological events.
Prior to entering research, David studied for a BA in Geography at the University of Cambridge and an MSc in Hydrogeology at the University of Birmingham. After finishing these studies, David gained four years of industrial experience in hydrology and hydrogeology at two leading UK environmental consultancies.
Pritchard D, Forsythe N, O’Donnell G, Fowler HJ, Rutter N. Multi-physics ensemble snow modelling in the western Himalaya. The Cryosphere, 2020, 14, 1225-1244. doi: 10.5194/tc-14-1225-2020
Pritchard D, Forsythe N, Fowler HJ, O’Donnell GM, Li X-F. Evaluation of Upper Indus near-surface climate representation by WRF in the High Asia Refined Analysis. Journal of Hydrometeorology, 2019, 20 (3), 467-487. doi: 10.1175/JHM-D-18-0030.1
Forsythe N, Fowler HJ, Li XF, Blenkinsop S, Pritchard D. Karakoram temperature and glacial melt driven by regional atmospheric circulation variability. Nature Climate Change, 2017, 7, 664-670. doi: 10.1038/NCLIMATE3361