Indian Institute of Tropical Meteorology

Scientist Profile

Dr. Bipin Kumar

Designation

: Scientist F

Phone

: +91-(0)20-25904522

Fax

: +91-(0)20-25865142

Email ID

: bipink[at]tropmet[dot]res[dot]in

Area of Expertise

Cloud-microphysics, Parallel Algorithms, Direct Numerical Simulation (DNS), Data Analysis and AI/ML algorithms

Academic Records

Degree	University	Year	Stream
Ph.D.	Dublin City University, Ireland	2009	Computing
M.S.(Res.)	National University of Singapore	2006	Mathematics
M.Sc.	Indian Institute of Technology, Kanpur	1998	Mathematics
B.Sc.	Allahabad University	1995	Mathematics

Research

Parallel Numerical Algorithms

Numerical Methods for Fluid Dynamics

Numerical Model Development

Cloud Microphysics

Multiphase Fluid Flows

Awards & Honors

Award Name	Awarded By	Awarded For	Year
Associate Faculty	International Centre for Theoretical Sciences (ICTS)	Research contribution	2018
DCU Teaching Award	DCU, Ireland	Teaching Award	2008
Microsoft Scholarship	Microsoft, Ireland	Postgraduate Scholarship Competition Award (2 yrs.)	2007
DCU Scholarship	DCU, Ireland	Dean’s connect Scholarship for aspiring PhD Candidates (3 yrs.)	2006
NUS Scholarship	NUS, Singapore	NUS postgraduate research scholarship (2 yrs.)	2004
CSIR- SRF	CSIR, India	Senior Research Fellowship for PhD	2004
MCM Scholarship	IIT Kanpur	Merit cum Means	1996

Scientific Careers

Year	Designation	Institute
July 2024-Present	Scientist F	Indian Institute of Tropical Meteorology, Pune
2018-June 2024	Scientist E	Indian Institute of Tropical Meteorology, Pune
2014-2018	Scientist D	Indian Institute of Tropical Meteorology, Pune
2013-2014	Scientist	Max Planck Institute of Meteorology, Hamburg, Germany
2009-2013	Postdoctoral Researcher	Ilmenau Technological University, Germany
2001-2004	Senior Project Associate	Indian Institute of Technology, Kanpur
2000-2000	Software Engineer	Okie World Corporation, Norman, USA
1999-2000	Project Associate	Indian Institute of Technology, Kanpur

Conference/workshop organized

Name	Level	My role
International Conference of Cloud and Precipitations (ICCP 2021), 2-6 Aug, 2021, IITM Pune, India.	International	Co-Chair
Brainstorm Meeting on Application of AI/ML in Earth Science Problems 25-27 Mar, 2019, IITM Pune.	National	Convener
International Workshop on Cloud-Dynamics, Micro-physics and Small-scale simulation, 13-17 Aug, 2018, IITM, Pune, India	International	Convener
Asian Mathematical Conference, 20-23 Jul, 2005 NUS, Singapore	International	Member
International Conference on Computational Methods, 15-17, Dec., 2004, NUS, Singapore,	International	Member
International Conference on Mathematical Biology, 19-21 Feb., 2004, IIT, Kanpur India.	International	Member

Projects*

Title(Role)	Agency	Duration	Amount
Microphysics of Cloud droplets and Aerosols: Experimental and computational study (Co-PI)	Ministry of Earth Sciences	2018-2021	99.6 Lakh
The development of Very High Resolution CFS Model based on Icosahedral grid (Associate).	Ministry of Earth Sciences	2018-2021	183.8 Lakh

*As per MoES protocol, outside of ministry projects are not allowed.

Journal Referee

Geophysical Research Letters, AGU.
Physics of Fluid, American Institute of Physics (AIP).
Atmospheric Chemistry and Physics, Copernicus.
Journal of Atmospheric Science.
Journal of Parallel and Distributed Computing, Elsevier.
Computer & Mathematics with Applications, Elsevier.

Invited Talks

Parul University, Varodara, India (09/2021).
Ramrao Adik Institute of Technology Navi Mumbai, India (11/2019).
Defense Institute of Advanced Technology, Pune, India (10/2019).
University of McGill, Montreal, Canada (05/2019).
National Center for Atmospheric Research, Boulder, USA (04/2019).
National Oceanic and Atmospheric Administration (NOAA), Boulder, USA (10/2018).
Environment and Climate Change Canada, Toronto, Canada (11/2018).
College of Engineering (COEP), Pune, India (10/2018)
International Centre for Theoretical Sciences (ICTS) Bengaluru, India 910/2018).
Indian Institute of Science Education and Research (IISER) Pune, India (12/2017).
Japan Agency for Marine-Earth Science and Technology (JAMESTEC), Japan (02/2016).
Department of Mathematics, IIT Kanpur, India (11/2012).
Department of Mathematics, IIT Guwahati, India (11/2012).
Department of Mathematics, South Asian University, New Delhi, India (11/2012).
Indian Institute of Tropical Meteorology, Pune, India (11/2012).
Department of Mathematics, IIT Bhubaneswar, India (11/2012).
Department of Mathematics, IIT Hyderabad, India (11/2012).
Earthquake Engineering Research Centre, IIIT Hyderabad, India (11/2012).

Teaching Experience:

Course coordinator and instructor at IITM Pune (01/2018 - Till date)

Data Analysis and Advanced Programming
Science Communication

Teaching Assistance at Institute of Thermodynamics and Fluid Mechanics, TU Ilmenau, Germany (02/2012 – 07/2013) Course: Fluid Mechanics

Lecturer in the School of Mechanical and Manufacturing Engineering, DCU, Ireland
(Part time job,02/2008 –08/2008) Course: Computational Thermo Fluid Dynamics

Staff in the Maths Learning Center, DCU, Ireland.
(Part time job, 10/2008 – 01/2009) Courses: Linear Algebra, Numerical Analysis and Calculus.

Tutor in the School of Mathematical Sciences and School of Computing DCU
(10/2007 –12/2007) Courses: Biodata Analysis (M.Sc. Bioinformatics), Accounting Mathematics and Mathematics of Finance: An introduction (B.Sc. Mathematics) and Probability (B.Sc. Computing)

Tutor in the School of Computing, DCU, Ireland
(10/2006 – 12/2006) Courses: Biodata Analysis (M.Sc. Bioinformatics)

Lab Tutor in the Department of Mathematics, NUS, Singapore
(07/2004 –07/2006) Software: MATLAB, MAPLE and DRIVE 6

Journal/Proceedings	36
Conference	32
Books	1

Publications details

Journal/Proceedings

36. Sharma S.C.M., Kumar Bipin, Mitra A., Saha Subodh K., Deep learning-based bias correction of ISMR simulated by GCM, Atmospheric Research, 309: 107589, October 2024, DOI:/10.1016/j.atmosres.2024.107589, 1-13

35. Kumar Bipin, Haral H., Kalapureddy M.C.R., Singh B.B., Yadav S., Chattopadhyay R., Pattanaik D.R., Rao Suryachandra A., Mohapatra M., Utilizing deep learning for near real-time rainfall forecasting based on Radar data, Physics and Chemistry of the Earth, 135: 103600, October 2024, DOI:10.1016/j.pce.2024.103600, 1-10

34. Gaikwad S., Kumar Bipin, Yadav P.P., Ambulkar R., Govardhan G., Kulkarni S.H., Kumar Rajesh, Chate D.M., Nigam N., Rao Suryachandra A., Ghude S.D., Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions, Modeling Earth Systems and Environment, Online, July 2023, DOI:10.1007/s40808-023-01831-1, 1-15

33. Kumar Bipin, Atey K., Singh B.B., Chattopadhyay R., Acharya N., Singh Manmeet, Nanjundiah R.S., Rao Suryachandra A., On the modern deep learning approaches for precipitation downscaling, Earth Science Informatics, 16, June 2023, DOI:10.1007/s12145-023-00970-4, 1459-1472

32. Kalbande R., Kumar Bipin, Maji S., Yadav R., Atey K., Rathore D.S., Beig G., Machine learning based quantification of VOC contribution in surface ozone prediction, Chemosphere, 326: 138474, June 2023, DOI:10.1016/j.chemosphere.2023.138474, 1-8

31. Kumar Bipin, Atey K., Singh B.B., Chattopadhyay R., Acharya N., Singh Manmeet, Nanjundiah R.S., Rao Suryachandra A., On the modern deep learning approaches for precipitation downscaling, Earth Science Informatics, Online, March 2023, DOI:10.1007/s12145-023-00970-4, 1-14

30. Singh Manmeet, Acharya N., Patel P., Jamshidi S., Yang Z-L, Kumar Bipin, Rao Suryachandra A., Gill S.S., Chattopadhyay R., Nanjundiah R.S., Niyogi D., A modified deep learning weather prediction using cubed sphere for global precipitation, Frontiers in Climate, 4: 1022624, January 2023, DOI:10.3389/fclim.2022.1022624, 1-10

29. Malap N., Prabhakaran Thara, Bera S., Kumar Bipin, Karipot A., Impact of CCN on mixing line structure over the peninsular Indian region, Journal of Earth System Science, 131: 241, November 2022, DOI:10.1007/s12040-022-01994-y, 1-12

28. Grabowski W.W., Thomas L., Kumar Bipin, Impact of cloud-base turbulence on CCN activation: Single-size CCN , Journal of the Atmospheric Sciences, 79, February 2022, DOI:10.1175/JAS-D-21-0184.1, 551–566

27. Kumar, B., Chattopadhyay, R., Singh, M. Chaudhary, N., Kodari, K. and Barve, A. (2021), “Deep learning–based downscaling of summer monsoon rainfall data over Indian region”, Theoretical and Applied Climatology, 143, 1145–1156 (2021), https://doi.org/10.1007/s00704-020-03489-6.

26. Kumar, B. Ranjan R, Yau, M.K., Bera, S. Rao, S, A. (2021), “Impact of high- and low-vorticity turbulence on cloud–environment mixing and cloud microphysics processes”, Atmospheric Chemistry and Physics, 21, 12317–12329, https://doi.org/10.5194/acp-21-12317-2021.

25. Gharat, J., Kumar, B., Barve, A., Ragha, L., Jeelani, S.M., and Clyne, J. (2021) “Development of NCL equivalent serial and parallel Python routines for meteorological data analysis”, International Journal of High Performance Computing Applications, under review.

24. Grabowski, W.W., Thomas, L. and Kumar B. (2021), “Impact of cloud base turbulence on CCN activation: Single size CCN”, Journal of Atmospheric Science, under review.

23. Kalamkar, S.R., Kumar, V., Kumar, B.V.R., Satoh, M., Kumar, B. and Bhat, S.P., (2021), “A hybrid time-stepping approach for weather simulations using NICAM”, Atmospheric Research, under review.

22. Kumar, B., Abhishek, N., Chattopadhyay, R., George, S., Singh, B.B., Samanta, A., Patnaik, B.S.V., Gill, S.G., Nanjundiah, R.S., Singh and M., (2021), “Deep Learning Based Forecasting of Indian Summer Monsoon Rainfall”, arXiv:2107.04270v2.

21. Singh, M., Kumar, B., Niyogi, N., Rao, S. A., Gill, S.G., Chattopadhyay and Nanjundiah, R.S. (2021), “Deep learning for improved global precipitation in numerical weather prediction systems”, arXiv:2106.12045v1

20. Kumar, B., Rehme, M., Suresh, N., Cherukuru, N., Jaroszynski, S., Li, S., Pearse, S., Scheitlin, T., Rao, S.A., Nanjundiah, R.S. (2021), “Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges”, Parallel Computing, 107, pp. 102811.

19. Kumar, B., Nanjundiah, R.S. and Bhowmik, M. (2020), “Prospective applications of artificial intelligence/machine learning techniques in earth science”, Current Science, 119, pp. 424-425.

18. Thomas, L., Grabowski, W. W., and Kumar, B. (2020), “Diffusional growth of cloud droplets in homogeneous isotropic turbulence: DNS, scaled-up DNS, and stochastic model”, Atmospheric Chemistry and Physics, 20, pp. 9087–9100, https://doi.org/10.5194/acp-20-9087-2020.

17. Belgaonkar, S., Bamble, B., Barve A., and Kumar, B. (2020), “Visualization of Droplet Dynamics in Cloud”, ITM Web of Conferences, 32, pp.03033-03038, https://doi.org/10.1051/itmconf/20203203033.

16. Kumar, B., Manapragada M. and Suresh, N. (2019), “High Level File System and Parallel I/O Optimization of DNS Code", Springer Nature, Communications in Computer and Information Science, 964, pp. 1-11, doi.org/10.1007/978-981-13-7729-7_2.

15. Kumar, B., Götzfried, P., Suresh, N., Schumacher, J., and Shaw, R. A. (2018), “Scale dependence of cloud microphysical response to turbulent entrainment and mixing”, Journal of Advances in Modeling Earth Systems, 10, pp. 2777-2785, doi:/10.1029/2018MS001487

14. Kumar, B., Bhowmik, M. and Ravi S. Nanjundiah (2018), “Clouds, microphysical processes and small scale simulations”, Current Science, 115(9), pp. 1636-1637.

13. Kumar, B., Bera, S., Parabhakaran, T. and Grabowski, W. W. (2017), “Cloud-Edge Mixing: Direct Numerical Simulation and Observations in Indian Monsoon Cloud”, Journal of Advancing in Modeling Earth Systems 9, pp. 332-353, doi:10.1002/2016MS000731.

12. Goetzfried, P., Kumar, B., Shaw R. A. and Schumacher, J. (2017), “Droplet Dynamics and fine-scale structure in a shearless turbulent mixing layer with phase changes”, Journal of Fluid Mechanics, 814, p 452-483 doi:10.1017/jfm.2017.23.

11. Hoffman, F., Siebert, H., Schumacher, J., Riechelmann, T., Katzwinkel, J. Kumar, B., Götzfried, P. and Raasch, S. (2014), “Entrainment and mixing at the interface of shallow cumulus clouds: Results from a combination of observations and simulations”, Meteorologische Zeitschrift 23(4) p 349-368 DOI 10.1127/0941-2948/2014/0597.

10. Kumar, B., Schumacher, J. and Shaw, R. A. (2014), “Lagrangian Mixing Dynamics at the Cloudy-Clear Air Interface” Journal of Atmospheric Sciences, 71 (7), p2564-2580, DOI: 10.1175/JAS-D-13-0294.1.

9. Kumar, B., Schumacher, J. and Shaw, R. A. (2013), “Cloud microphysical effects of turbulent mixing and entrainment”, Theoretical and Computational Fluid Dynamics. 27 (3), p 361-376,DOI: 10.1007/s00162-012-0272-z (Springer).

8. Kumar, B., Crane, M. and Delauré, Y. (2013), “On the Volume of Fluid Method for Multiphase Fluid Flow simulation”, International Journal of Modeling, Simulation, and Scientific Computing, 4(2) p 135002 (World Scientific Publication).

7. Kumar, B., Janetzko, F. Schumacher, J. and Shaw, R. A. (2012), “Extreme responses of a coupled scalar-particle system during turbulent mixing“, New Journal of Physics, 14, 115020, DOI:0.1088/1367-2630/14/11/115020.

6. Kumar, B.V.R., Kumar, B. (2005), “Parallel Pre-Conditioners for Heat Transfer Applications on Anu-Cluster”, Applied Mathematics and Computations, 163(3),p 1243-1263.

5. Kumar, B.V.R., Kumar, B. (2005), “On the development of Parallel Sparse CGM Solver for CFD Computations on ANU-Cluster”, Applied Mathematics and Computations, 160(3), p 739-761.

4. Kumar, B.V.R. and Kumar, B.(2004), “Parallel Computation of Natural Convection in Trapezoidal Porous Enclosures”, Mathematics and Computers in Simulation, 65, p 221-229.

3. Kumar, B.V.R., Kumar, B. and others, (2004), “Krylov Subspace Methods in Parallel Finite Element Computation of Heat Transfer Application”, Numerical Heat Transfer Part A, 45, p 479-503.

2. Kumar, B., Prasad Patnaik, Lin Ping, (2005), “Krylov Subspace Solvers for Grain Growth Simulations using Phase Field Method” (2005), Asian Mathematical Conference, NUS, Singapore, pp. 64 (http://ww1.math.nus.edu.sg/AMC/AMC2005-Proceedings.pdf).

1. Kumar, B., Kumar, B.V.R., (2004), “Parallel Pre-Conditioners for Heat Transfer Applications on Anu-Cluster”, International Conference on Computational Methods, Dec. 15-17, 2004 pp. 66, National University of Singapore, SINGAPORE.

Qualification	No. students
Postdoctoral	1
PhD	1+ 1(on going)
M. Tech/MS	11 + 8 (on going)
B. Tech/B.E.	11

Postdocs

Name	Institution/ University	Title of project	Year
Dr. Moumita Bhowmik	DST, NPDF	Influence of aerosol dynamics on cloud-droplet size distribution in the turbulent flow: smallest scale numerical simulation	2017-2019

PhD.s

S.N.	Name	Institution/ University	Title of project	Year
1	Lois Thomas	Pune University	Numerical studies of turbulence impact on growth of cloud droplets	On-going
2	Dr. Sudarsan Bera	Pune University	Investigation of Entrainment and Mixing Processes in Convective Clouds Using observation and Numerical Simulation	2020

S.N	Name	Institution/University	Topic	Degree	Year
1	Jay Bhatt	DAIICT, Gandhinagar, Gujrat	Parallel Algorithm	B.Tech (Intership)	2016
2	Sachin Shinde	Wallchand College of Engineering, Sangli, Maharashtra	LES	M.Tech	2017
3	Sandeep Jayakumar	Cochin University of Science and Technology, Cochin, Kerala	LES and DNS for cloud Microphysics	M.Tech	2018
4	Monika Ukerde	Vishwakarma Institute of Technology, Pune	Parallel Computing	B.Tech	2018
5	Saurabh Katariyar	IIT Madras, Chennai	Artificial Intelligence	M.Tech	2019
6	Atif M. Khan	Defense Institute of Advance Technology, Pune	DNS for cloud microphysics	M.Tech	2019
7	Priyanka Raikar	Pune University	Parallel Computing	M.Tech (internship)	2019
8	Rahul Ranjan	Pune University	DNS and Machine Learning	M.Tech	2020
9	Sandeep George	IIT Madras, Chennai	Artificial Intelligence	M.Tech	2020
10	Karthik Kodari	Defense Institute of Advance Technology, Pune	Artificial Intelligence	M.Tech	2020
11	Shubham Gurav	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Artificial Intelligence	B.Tech	2020
12	Bhushan Bamble	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis and visualization	B.Tech	2020
13	Jatin Gharat	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis (Parallel Python)	M.Tech	2020
14	Kshitij Pawar	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Artificial Intelligence	B.Tech	2021
15	Siddharth Singh	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis and ML	B.Tech	2021
16	Adwait Joshi	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis (Parallel Python routines)	B.Tech	2021
17	Dikshitia Navle	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis (NCL to Python)	B.Tech	2021
18	Shreya Koyande	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis (NCL to Python)	B.Tech	2021
19	Tejal Shirsat	DY Patil Ramrao Adik Institute of Technology, Nerul Navi Mumbai	Data Analysis (NCL to Python)	B.Tech	2021
20	Gauri Amin	Cummins College, Pune	Website development	B.Tech (summer Intern)	2021
21	Arya Samanta	IISER Pune	Deep Learning (Forecasting) [Precipitation]	MS	2021
22	Namit Abhishek	IISER Pune	AI/ML(Forecasting) [ Precipitation]	MS	2021
23	Ankit Bhaskar	IISER Pune	AI/ML (Forecasting)[Ocean variable BoB]	MS	On-going
24	Vikas Kumar	IISER Pune	AI/ML and Data analysis	MS	On-going
25	Kaustubh Atey	IISER Pune	AI/ML (Data downscaling)	MS	On-going
26	Vaisakh S.S.	Defense Institute of Advance Technology, Pune	AI/ML (Forecasting)[Ocean variables (Global) ]	M.Tech	On-going
27	Mohit Nigam (together with Dr. Suryachnadra Rao)	Defense Institute of Advance Technology, Pune	AI/ML (Model data downscaling)	M.Tech	On-going
28	Deewakar Charakborty (together with Mrs. Shikha Singh)	Defense Institute of Advance Technology, Pune	AI/ML (Forecasting) [Lightning Forecasting]	M.Tech	On-going
29	Sushrut Gaiwad	IISER Pune	AI/ML (Forecasting) [Pollution data]	MS	On-going
30	Dipmala Kamadi ( togethre with Rajib Dr.Chattopadhyaya)	Defense Institute of Advance Technology, Pune	EDA	M.Tech	On-going

आईआईटीएम
IITM

भारतीय उष्णदेशीय मौसम विज्ञान संस्थान
Indian Institute of Tropical Meteorology

Scientist Profile

Dr. Bipin Kumar

Designation

: Scientist F

Phone

: +91-(0)20-25904522

Fax

: +91-(0)20-25865142

Email ID

: bipink[at]tropmet[dot]res[dot]in

Area of Expertise

Academic Records

Research

Awards & Honors

Scientific Careers

Scientist Profile

Dr. Bipin Kumar

Designation : Scientist F

Phone : +91-(0)20-25904522

Fax : +91-(0)20-25865142

Email ID : bipink[at]tropmet[dot]res[dot]in

Area of Expertise

Academic Records

Research

Awards & Honors

Scientific Careers

Designation

: Scientist F

Phone

: +91-(0)20-25904522

Fax

: +91-(0)20-25865142

Email ID

: bipink[at]tropmet[dot]res[dot]in