Malcolm Mistry holds a PhD in Science and Management of Climate Change from Ca’Foscari University of Venice. His PhD thesis focused on impacts of climate change and variability on crop yields using emulators and empirical models. Malcolm holds a Master’s in Weather and Climate Modelling from the University of Reading (U.K.) where his dissertation examined the Intra-seasonal variability of Indian Summer Monsoon (ISM) in Observed and General Circulation Model (GCM).
Apart from being a post-doctoral researcher at Ca’ Foscari University of Venice, Malcolm also holds a scientific affiliation with Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC – ECIP Division). He has previously worked as a Research Associate at Barcelona Supercomputing Centre (Spain), where he gained expertise in handling large climate datasets, running Earth System Models (ESM), numerous scientific data management and spatial analysis tools. Malcolm’s research interests include big data, sectoral impacts of climate change and variability, development and application of climate extreme indices, and last but not the least, creating awareness of the science of climate change and its potential impacts by giving talks in local schools. Prior embarking on a research career, Malcolm worked as a navigating officer onboard research and seismic survey ships, engaged in data acquisition of sea bed profiles for offshore oil and gas industry.
- Dataset: A High-Resolution (0.25 degree) Historical Global Gridded Dataset of Climate Extreme Indices (1970-2016) using GLDAS data
- A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices
- Simulated vs. empirical weather responsiveness of crop yields: US evidence and implications for the agricultural impacts of climate change
- Simulated vs. Empirical Weather Responsiveness of Crop Yields: U.S. Evidence and Implications for the Agricultural Impacts of Climate Change