My principal area of research is the predictions and projections of high-impact weather events from seasonal to decadal timescales, using analysis-ready data from the observations and climate models. I am currently exploring the use of causal discovery tools to depict the atmospheric drivers of fire weather in the Mediterranean region, and how they may be modified under global warming.
Contact
14412 Potsdam
ORCID
PhD in Environmental Intelligence, University of Exeter, 2024
MSc in Climate Change and Sustainable Development, Asian Institute of Technology, 2017
MSc in Climate Change and Development, University of Reading, 2015
BSc in Earth Sciences, The University of Hong Kong, 2014
Lam, T., Catto, J., Barciela, R., Harper, A. B., Challenor, P. & Arribas, A. 2024. Quantifying causal teleconnections to drought and fire risks in Indonesian Borneo. International Journal of Climatology, 44, 2087-2105. https://doi.org/10.1002/joc.8442
Tai, A. P., Yung, D. H. & Lam, T. 2024. Terrestrial Ecosystem Model in R (TEMIR) version 1.0: Simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes. Geoscientific Model Development, 17, 3733-3764. https://doi.org/10.5194/egusphere-2023-1287
Leung, F., Pang, J. Y., Tai, A. P., Lam, T., Tao, D. K. & Sharps, K. 2020. Evidence of ozone-induced visible foliar injury in Hong Kong using Phaseolus vulgaris as a bioindicator. Atmosphere, 11, 266. https://doi.org/10.3390/atmos11030266
PREVENT - IMPROVED PREDICTABILITY OF EXTREMES OVER THE MEDITERRANEAN FROM SEASONAL TO DECADAL TIMESCALES (HORIZON-RIA) https://cordis.europa.eu/project/id/101081276
