Background

Valentine Anantharaj is a Computational Climate Scientist with the Scientific Computing Group in the National Center for Computational Sciences (NCCS). Prior to joining ORNL, he was an Associate Research Professor at the Geosystems Research Institute (GRI) as well as Adjunct Faculty with the Department of Electrical and Computer Engineering in Mississippi State University. He holds a PhD in Computational Engineering, an MS in Meteorology, and BS in Physics. Valentine was a NASA Enterprise for Innovating Geospatial Solutions Graduate Fellow for two years during his graduate studies. Prior to his tenure at GRI, he started his scientific career as an Associate Scientist at the former Institute for Naval Oceanography, managed by University Corporation for Atmospheric Research.

Valentine has broad professional experience in the areas of scientific data management, machine learning applications of climate data, software engineering and applications development for operational implementation, decision support frameworks, integration of remote sensing data in numerical models, satellite precipitation estimation, and regional climate modeling. His recent research interests include land surface hydrology, land-atmosphere interactions, and characterization of uncertainties in global climate models, particularly shortwave radiation. Valentine’s focus is on advancing the leadership scale climate modeling activities at NCCS as well as the core competencies within CCSI.

Education

Mississippi State University
Computational Engineering
Doctor of Philosophy (Ph.D.)
South Dakota School of Mines and Technology
Atmospheric Sciences
Master of Science (M.S.)

R&D Activities Contributions

Big PanDA Workflow Management on Titan for High Energy and Nuclear Physics and for Future Extreme Scale Scientific Applications - This project will provide an important model for future exascale computing, increasing the coherence between the technology base used for high-performance computing and that used…

Staff Activities

Other:

2016

Joint Group Lead - Workflow and Data Management

Joint Group Lead for Workflow and Data Management activities during of the DOE Energy Exascale Earth System Modeling (E3SM) Project. Successfully completed Phase 1 of the project that concluded with the release of E3SM Version 1.

Publications

2017
Rastogi, D., S.-C. Kao, M. Ashfaq, R. Mei, E. D. Kabela, S. Gangrade, B. S. Naz, B. L. Preston, N. Singh, and V. G. Anantharaj (2017), Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin, J. Geophys. Res. Atmos., 122, 4808–4828, doi:10.1002/2016JD026001.
2016
Fiore, S., M Płóciennik, C Doutriaux, Cosimo Palazzo, J Boutte, T Żok, Donatello Elia, Michal Owsiak, Alessandro D'Anca, Z Shaheen, Riccardo Bruno, Marco Fargetta, Miguel Caballer, Germán Moltó, Ignacio Blanquer, Roberto Barbera, Mário David, Giacinto Donvito, Dean N Williams, V Anantharaj, Davide Salomoni, Giovanni Aloisio (2016). “Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system.” Proceedings of the IEEE Conference on Big Data. p2911-2918, DOI: 10.1109/BigData.2016.7840941.
2015
Mahajan, S., K.J. Evans, M. Branstetter, V. Anantharaj, and J.K. Leifeld, 2015: Fidelity of precipitation extremes in high resolution global climate simulations. Procedia Computer Science. ICCS2015. International Conference on Computational Science, 1-3 June 2015. Reyjavik, Iceland.
2013
Anantharaj, V.G., F.S. Foertter, W. Joubert, and J.C. Wells, 2013: Approaching Exascale: Application Requirements for OLCF Leadership Computing. Oak Ridge National Laboratory.
2013
Luo, Y., X. Feng, P.R. Houser, V.G. Anantharaj, X. Fan, G.D. Lannoy, X. Zhan, and L. Dabbiru, 2013: Potential Soil Moisture Products from the Aquarius Radiometer and Scatterometer Using an Observing System Simulation Experiment. Geoscientific Instrumentation, Methods and Data Systems. Copernicus Publications. 2: 113-120. DOI:10.5194/gi-2-113-2013.
2013
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, W.A. Petersen, K-L. Hsu, A. Behrangi, and J.V. Aanstoos, 2013: Augmenting Satellite Precipitation Estimation with Lightning Information. International Journal of Remote Sensing. 34(16): 5796-5811. DOI: 10.1080/01431161.2013.796100.
2012
Mahrooghy, M., N.H. Younan, V.G. Anantharaj, J. Aanstoos, and S. Yarahmadian, 2012: On The Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2012.2201449
2012
Mahrooghy, M., N.H. Younan, V.G. Anantharaj, J. Aanstoos, and S. Yarahmadian, 2012: On the Use of the Genetic Algorithm Filter-Based Feature Selection technique for Satellite Precipitation Estimation, IEEE Geoscience and Remote Sensing Letters. 9(5): 963-967.
2012
Mahrooghy, M., N.H. Younan, and V.G. Anantharaj, and James Aanstoos, 2012: Enhancement of Satellite Precipitation Estimate via Unsupervised Dimensionality Reduction. IEEE Transactions on Geoscience and Remote Sensing, 50(10): 3931-3940. DOI: 10.1109/TGRS.2012.2189406.
2012
Mahrooghy, M., V.G. Anantharaj, N.H. Younan, J. Aanstoos, and K-L Hsu, 2012: On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation, Journal of Atmospheric and Oceanic Technology. 29(7): 922-932. DOI:10.1175/JTECH-D-11-00146.1.
2012
Norman, M., J. Larkin, R.K. Archibald, I. Carpenter, V.G. Anantharaj, P. Micikevicius, and K.J. Evans, 2012: Porting the Community Atmosphere Model - Spectral Element Code to Utilize GPU Accelerators. International Journal of Cray User’s Group. [Best Paper Finalist]
2012
Turlapaty, A.C., N.H. Younan, and V.G. Anantharaj, 2012: A linear merging methodology for precipitation data using multivariate regression. International Journal of Remote Sensing. 33(24):7844-7867. DOI:10.1080/01431161.2012.703345
2011
Shrestha, R., P.R. Houser, and V.G. Anantharaj, 2011: An optimal merging technique for high-resolution precipitation products. Journal of Advances in Modeling Earth Systems. 3(4), M12003. DOI:10.1029/2011MS000062.
2011
Turlapaty, A., N.H. Younan, and V.G. Anantharaj, 2011: Interpolation of missing values in AMSR-E soil moisture data using modified SSA analysis. IEEE Geoscience and Remote Sensing Letters. 8(2): 322-325. DOI: 10.1109/LGRS.2010.2071852
2010
Anantharaj, V.G., U.S. Nair, P. Lawrence, T.N. Chase, S. Christopher, and T. Jones, 2010: Comparison of satellite-derived TOA shortwave fluxes to estimates from GCM simulations constrained by satellite observations of land surface characteristics. International Journal of Climatology. DOI: 10.1002/joc.2107
2010
Mahmood, R. and 40 co-authors including V.G. Anantharaj, 2010: Impacts of land use land cover climate and future research priorities. Bulletin of the American Meteorological Society. 91: 37-46. DOI: 10.1175/2009BAMS2769.1
2010
Turk, F.J, G. Mostovoy and V. Anantharaj, 2010: The NRL-Blend High Resolution Precipitation Product and its Application to Land Surface Hydrology. Satellite Application for Surface Hydrology (F. Hossain and M. Gebremichael, Editors). Springer Verlag.
2010
Turk, F.J., G.V. Mostovoy and V.G. Anantharaj, 2010: Soil Moisture Sensitivity to NRL-Blend High Resolution Precipitation Products: Analysis of Simulations With Two Land Surface Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS). 3: 32-48. DOI: 10.1109/JSTARS.2009.2034024
2010
Turlapaty, A.C., N.H. Younan, and V.G. Anantharaj, 2010: A pattern recognition based approach to consistency analysis of geophysical datasets. Computers and Geosciences. 36(4): 464-476. DOI: 10.1016/j.cageo.2009.10.002
2010
Turlapaty, A.C., V.G. Anantharaj, N.H. Younan, and F.J. Turk, 2010: Precipitation data fusion using vector space transformation and artificial neural networks. Pattern Recognition Letters. 31: 1184-1200. DOI: 10.1016/j.patrec.2009.12.033
2010
Yilmaz, T., P. Houser, R. Shrestha, and V. Anantharaj, 2010: Optimally Merging Precipitation to minimize Land Surface Modeling Errors. Journal of Applied Meteorology and Climatology. DOI: 10.1175/2009JAMC2305.1
2009
Wu, Y., U.S. Nair, R.A. Pielke, R. McNider, S.A. Christopher and V.G. Anantharaj, 2009: Impact of land surface heterogeneity on mesoscale atmospheric dispersion. Boundary Layer Meteorology. 33(3): 367. DOI: 10.1007/s10546-009-9415-1
2008
Mostovoy, G. V., V. Anantharaj, R. L. King, and M. L. Filipova, 2008: Interpretation of the relationship between skin temperature and vegetation fraction: Effect of subpixel soil temperature variability. International Journal of Remote Sensing. 29(10), 2819-2831. DOI: 10.1080/01431160701395286
2008
Mostovoy, G. V., and V. G. Anantharaj, 2008: Observed and simulated soil moisture variability over the Lower Mississippi Delta Region. Journal of Hydrometeorology. 9(6): 1125-1150. DOI: 10.1175/2008JHM999.1
2008
Takur, A., R. Vaughn, and V. Anantharaj, 2008: On the same page: Building stakeholder consensus. Design Principles and Practices. 2(1): 39-48.

Highlights

October 18, 2016

OLCF’s Anantharaj Shares HPC Knowledge at Summer School