Researcher

Dr Ying Ping Wang

My Expertise

  • Environmental Sciences
  • Climate Change

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Biography

Dr Wang is an Adjunct Professor at the University of New South Wales in Sydney and has been a Chief Research Scientist in CSIRO since 2015. Dr Wang has had a long standing relationship with UNSW and has collaborated with various academics on numerous occasions over the past 25 years. Highlights include publications with Ross McMurtrie, Martin De Kauwe, Gab Abromowitz, Andy Pitman, as well as collaboration on ARC Discovery Research Grants, and...view more

Dr Wang is an Adjunct Professor at the University of New South Wales in Sydney and has been a Chief Research Scientist in CSIRO since 2015. Dr Wang has had a long standing relationship with UNSW and has collaborated with various academics on numerous occasions over the past 25 years. Highlights include publications with Ross McMurtrie, Martin De Kauwe, Gab Abromowitz, Andy Pitman, as well as collaboration on ARC Discovery Research Grants, and two Centre of Excellence grants. 

Dr Wang completed his PhD in plant eco-physiology from University of Edinburgh in 1988, and moved to CSIRO, Australia in 1990. He is one of the two key scientists responsible for developing the CSIRO Atmosphere Biosphere Land Exchange (CABLE) that has over 100 registered users from 51 institutions in 13 countries. He has published over 140 papers in major international journals including 13 in Sciences, PNAS, Nature and its family journals. His major achievements include the development of CABLE, the two-leaf canopy scheme, the unified theory of global nitrogen fixation, and the first global model of carbon, nitrogen and phosphorus cycles. He also pioneered the applications of model-data fusion in terrestrial ecology. He is an associate editor for Agriculture and Forest meteorology since 2010.

Dr Wang has been a leader of various teams since 1997 and a member of multiple committees in CSIRO. His main research interests are:

  • Global land modelling
  • Global biogeochemical cycles 
  • Land use change
  • Nutrient limitation
  • Model-data fusion
  • Model benchmarking
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