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Nikolay Khabarov

Research Scholar

Exploratory Modeling of Human-natural Systems Research Group

Advancing Systems Analysis

Biography

Nikolay Khabarov joined IIASA as a research scholar in January 2007, to strengthen the team in charge of quantifying the benefits of improved Earth observations. Since then, Dr. Khabarov has been a principal investigator and contributor to a range of IIASA research projects with a particular focus on crop growth modeling, natural disasters (e.g. forest fires), assessment of climate change impacts and adaptation options, economics of adaptation, estimation of the value of information including environmental aspects, risk-optimal portfolios (e.g. technological portfolios for power generation), modeling carbon risk reduction through innovative financial tools, asset-level economic modeling and optimal land allocation for agricultural production.

Dr. Khabarov’s expertise is in mathematical modeling, programming, and optimization under uncertainty. With his technical skills, Dr. Khabarov is contributing to improving the methods, tools, and technologies used by IIASA for biophysical and economic modeling at regional and global scales.

In the course of his professional activities prior to joining IIASA, Dr. Khabarov gained extensive business experience while working for private companies covering a range of industries including news and media, financial services and investment banking, legal services, marketing and trading, and information technologies.

Dr. Khabarov studied applied mathematics at the Moscow State University, Faculty of Computational Mathematics and Cybernetics, and received his Master of Science degree in 1998 and his PhD in mathematics in 2004. In his PhD thesis, Dr. Khabarov developed new efficient methods providing global fast convergence to a solution of an optimal control problem.

Dr. Khabarov has been involved in over 20 international research projects including Global Earth Observation - Benefit Estimation: Now, Next and Emerging, (GEO-BENE), Methodology for Effective Decision-making on Impacts and Adaptation (MEDIATION), the Agricultural Model Intercomparison and Improvement project (AgMIP/GGCMI), and the Economics of Climate Change Adaptation project (econadapt.eu).

Dr. Khabarov is an author of more than 100 scientific publications including book chapters and reports.


Last update: 16 FEB 2021

Publications

Franke, J.A., Müller, C., Elliott, J., Ruane, A.C., Jägermeyr, J., Balkovic, J. , Ciais, P., Dury, M., Falloon, P.D., Folberth, C. , François, L., Hank, T., Hoffmann, M., Izaurralde, R.C., Jacquemin, I., Jones, C., Khabarov, N. , Koch, M., Li, M., Liu, W., Olin, S., Phillips, M., Pugh, T.A.M., Reddy, A., Wang, X., Williams, K., Zabel, F., & Moyer, E.J. (2020). The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO<sub>2</sub>, temperature, water, and nitrogen levels (protocol version 1.0). Geoscientific Model Development 13 (5) 2315-2336. 10.5194/gmd-13-2315-2020.

Folberth, C. , Elliott, J., Müller, C., Balkovič, J., Chryssanthacopoulos, J., Izaurralde, R.C., Jones, C.D., Khabarov, N. , Liu, W., Reddy, A., Schmid, E., Skalsky, R. , Yang, H., Arneth, A., Ciais, P., Deryng, D., Lawrence, P.J., Olin, S., Pugh, T.A.M., Ruane, A.C., & Wang, X. (2019). Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble. PLoS ONE 14 (9) e0221862. 10.1371/journal.pone.0221862.

Mamais, L., Milosavljevic, I., & Khabarov, N. (2019). Farm Management Support in Poland. European Association of Remote Sensing Companies (EARSC)