Vinod Kumar

Research Scientist

Current work and responsibilities

Vinod has an interest in numerical weather prediction, remote sensing and data assimilation. His earlier research has focussed on ways to improve the numerical weather prediction through improvements to land surface parameters and estimation of its initial state. His previous work with the Bureau of Meteorology include testing and development of satellite data assimilation scheme in ACCESS global numerical weather prediction model. His current focus is to improve the soil dryness estimation for fire danger rating application using land surface models and data assimilation schemes, a project jointly funded by the BNHCRC and the Bureau.

Career background

  • Bachelor of Science (Physics) - Mahatma Gandhi University, Kerala, India
  • Master of Science (Meteorology) - Cochin University of Science & Technology, Kerala, India
  • PhD (Meteorology) - Indian Institute of Technology, Kharagpur, India
Professional Positions
  • 2010 - 2012: Post-doctoral Researcher - Flinders University, Adelaide, Australia
  • 2012 - present: Research Scientist - Bureau of Meteorology, Melbourne, Australia

Selected Publications

  • Vinodkumar, and I. Dharssi, 2019, Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management, Agriculture and Forest Meteorology, 264, 27-39, doi: 10.1016/j.agrformet.2018.09.012.
  • Vinodkumar, I. Dharssi, J. Bally, P. Steinle, D. McJannet, and J. Walker, 2017, Comparison of soil wetness from multiple models over Australia with observations, Water Resources Research, 53, 633-646, doi: 10.1002/2015WR017738.
  • H.Guan, Vinodkumar, R. Clay, C. Kent, J. Bennett, C. Ewenz, G. Hopkins, and C. T. Simmons, 2016, Temporal and spatial patterns of air temperature in a coastal city with a slope base setting, Journal of Geophysical Research: Atmospheres 121 (10), 5336-5355.
  • Vinodkumar, A. Chandrasekar, D. Niyogi, and K. Alapaty, 2009, Assessment of data assimilation approaches for the simulation of a monsoon depression over the Indian monsoon region, Boundary Layer Meteorology, 133(3), 343-366.
  • Vinodkumar, A. Chandrasekar, K. Alapaty and D. S. Niyogi, 2008, The impacts of indirect soil moisture assimilation and direct surface temperature and humidity assimilation on a mesoscale model simulation of an Indian monsoon depression, Journal of Applied Meteorology & Climatology, 47, 1393-1412.
Vinod Kumar-photo

Vinod Kumar

  • Land surface modelling, Numerical weather Prediction, Data assimilation, Remote Sensing
- Google Scholar link