DR. ANIL VISHNUPANT KULKARNI edit

ANIL VISHNUPANT KULKARNI
File:ANIL KULKARNI.JPG
ANIL V. KULKARNI in 2017
Nationality (legal)Indian
Scientific career
FieldsGlaciology, Geology and Remote sensing
InstitutionsDivecha Center for Climate Change, IISc BANGALORE

Dr. Anil Vishnupant Kulkarni is a leading Indian scientist working on Cryosphere and Glacier studies. He is currently working as Distinguished visiting Scientist at Divecha Center for Climate Change, Indian Institute of Science Bangalore, India. He has also served as Scientist at Space Application Centre (SAC) Ahmedabad, Indian Space Research Organisation, India between 1980 to 2010. At SAC Ahmedabad, he was instrumental in establishing research team on Cryosphere for which he was awarded with Team leader of ISRO team award in the year 2008 and National Geoscience Award in the year 2009. He has been providing leadership for the programs related to Cryospheric Science. He was the chairman of Project Advisory Committee-Glaciology of Department of Science and Technology for 2012-2015 and member of project advisory committees of DST and MoES. In these capacities, he has significantly helped in creating vibrant glaciological research program in India. His research work is widely reported by Indian and International media. For his outstanding contribution on Cryospheric research in India, he was awarded with National award in polar science and cryosphere in the year 2014. He has developed a training program on glaciers, remote sensing and climate change in collaboration with the University of Iceland. He has trained more than 200 students in the field of glaciology. This has created awareness about glaciology in India and helped in attracting brilliant students to glaciology at numerous premier academic institutions.

Personal life edit

Dr. Anil V. Kulkarni was born on XXX at XXXXX in XXX. He did his M.Tech in Applied Geology in the year 1979 from Indian Institute of Technology Roorkee, India. In the year 1984 he was awarded with Canadian Commonwealth Fellowship (1984-86) during which he did M.S. in Geography from McGill University, Montreal, Canada. He did Ph. D. in Geology in 1995 from Shivaji University, Kolhapur, India. He is recognized as a Ph.D. Guide by many leading Universities, and five students have obtained Ph.D. under his supervision and six more are pursuing. He has published more than 100 papers in Journals and conferences & more than 100 reports and atlas.

Academic and research activities edit

Following are the highlights of his career as a renowned scientist

  • He has been instrumental in developing numerous remote sensing based methods and models to understand Himalayan Cryosphere. These are widely used to map seasonal snow cover, glacier cover and moraine dammed lakes. Further these also are used to estimate glacier mass balance, stream runoff and to understand influence of climate change on Himalayan cryosphere. Finely information generated by these models and methods refuted the IPCC 2007 report claiming Himalayan glaciers will disappear by 2035; thereby reassuring the nation.
  • During his initial investigations Dr. Kulkarni developed a methodology to map Himalayan glaciers using remote sensing data (Kulkarni, 1991). This methodology was used to prepare glacier inventory of Indian Himalaya, providing information about distribution of Himalayan glaciers, not available previously to the scientific community (Kulkarni et al, 2007). Further, this methodology was used to estimate retreat of about 1868 glaciers, providing for the first time, information about fragmentation of glaciers, loss in glacial area and the dramatic impact of climate change on Himalayan cryosphere (Kulkarni et al, 2007; 2010).
  • Dr. Kulkarni developed a model to estimate glacier mass balance by monitoring snow line using satellite data (Kulkarni, 1992). The technique is now extensively used to estimate mass balance of numerous Himalayan glaciers, as the field data is available for only a few glaciers. This technique identified that for large number glaciers the snowline at the end of summer is higher than maximum glacier altitude which indicate terminal retreat (kulkarni et al, 2004). This work has created national and international awareness about the impact of climate change on Himalayan glaciers. In addition, Dr. Kulkarni and his team have used combination of glacier mass balance and climate models to understand glacial mass loss under different emission scenario, indicating the threat to water resources under high emission scenarios. These investigations, for the first time, have generated awareness to conserve Himalayan glaciers (Chaturvedi et al, 2014).
  • A new algorithm to generate and monitor seasonal snow cover for Himalayan region using data from AWiFS sensor of Indian Remote Sensing Satellite was developed by Dr. Kulkarni (Kulkarni et al, 2006). The results show snow melt in the middle of winter that influences the stream runoff (Kulkarni et al, 2010). These techniques and models developed by Dr. Kulkarni to monitor seasonal snow cover, glacier extent and glacier mass balance were used by Indian Space Research Organization (ISRO) to launch a major program in collaboration with Ministry of Environment and Forests. To appreciate this contribution, ISRO awarded the Team excellence award to Snow and Glacier Project lead by Dr. Kulkarni.
  • To assess the hydropower potentials of small Himalayan streams, Dr. Kulkarni developed a snow and glacier melt runoff model (Kulkarni et al, 2002). This study provided hydropower potential of all glaciated streams in Himachal Pradesh. Various governmental agencies of Himachal Pradesh have used this work to systematically develop micro hydro power potential. Finally, the snow melt runoff model has also shown impact of climate change on hydropower generation, indicating reduction in power potential in all the seasons.
  • Dr. Kulkarni and his team have recently developed a model based on velocity, slope and flow law to estimate distribution of ice-thickness. This technique has indicated a maximum thickness as 500 m for Gangotri glacier (Ganatayat et al, 2014). Based on this model, Department of Science and Technology launched a major program to estimate distribution of ice thickness of thousands of glaciers in the Indian Himalaya to provide better estimate of glacier stored water.
  • Currently D. Kulkarni is working on model to map bottom topography of Himalayan glaciers. This work is useful to delineate potential pro glacier lake sites, provide estimate on expansion of existing lakes and lake volume. It is successfully used in the South Lohnak glacier in Sikkim to understand possible disaster from flash flood. If major program is launched, it can improve safety and security of people living in the Himalayan region.

Honours and awards edit

  • National award in polar science and cryosphere-2014
  • National Geoscience Award-2009
  • Team leader of ISRO team award-2008

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