Dr. V. Balaji has headed the Modeling Systems Division at NOAA/GFDL since 2004, with appointments in Princeton University’s Cooperative Institute for Modeling the Earth System (CIMES), and associate faculty at the Princeton Institute for Computational Science and Engineering (PICSciE) and the Princeton Environmental Institute (PEI). With a background in physics and climate science, he has also become an expert in the area of parallel computing and scientific infrastructure. He serves on the Scientific Advisory Board of the Max-Planck Institute for Meteorology in Hamburg, Science Review Group of the UK Met Office Hadley Centre, and the National Center for Atmospheric Research. He is a sought-after speaker and lecturer and is committed to provide training in the use of climate models in developing nations, leading workshops for advanced students and researchers in South Africa and India.
In 2017, he was among the first recipients of French President Macron’s Make Our Planet Great Again award marking the second anniversary of the Paris Climate Accord. He is currently a visiting scientist at the Laboratoire des Sciences de Climat et Environnement (LSCE) and the Institut Pierre-Simon Laplace (IPSL), in Paris. He leads MOPGA Project Hermès.
- Climbing down Charney’s ladder: Machine Learning and the post-Dennard era of computational climate science, accepted in Phil. Trans. Roy. Soc. A, 2020.
- Requirements for a global data infrastructure in support of CMIP6, GMD, 2018.
- Causes and Probability of Occurrence of Extreme Precipitation Events like Chennai 2015, J Climate 2018.
- Eutrophication will increase during the 21st century as a result of precipitation changes, Science, 2017.
- CPMIP: measurements of real computational performance of Earth system models, CMIP6 Special Issue, GMD 2017.
- The art and science of climate model tuning, BAMS 2016.
- Coarse-grained component concurrency in Earth system modeling, GMD 2016.
- Climate Computing: The State of Play, CiSE 2015.
- Scientific Computing in the Age of Complexity, ACM 2013.
- From Maps to Models: Augmenting the Nation’s Geospatial Intelligence Capabilities, National Academies, 2016.
- A National Strategy for Advancing Climate Modeling, National Academies, 2012.
- GFDL Bibliography
- Google Scholar profile