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Research Publications


Key publications of the project members

Guntu, R.K and Agarwal, A.; “Complex networks for quantifying modulators of compound extremes”. 9th International groundwater conference on sustainable management of Soil-Water Resources, 11/2022, IIT Roorkee, Uttarakhand, India.

Shivam Rawat, Abinesh Ganapathy & Ankit Agarwal (2022) Drought characterization over Indian sub continent using GRACE based indices. Scientific reports.

Steirou, E., Gerlitz, L., Sun, X. et al. Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information. Sci Rep 12, 13514 (2022).
https://doi.org/10.1038/s41598-022-16633-1

Ugur Ozturk, Elisa Bozzolan, Elizabeth A. Holcombe, Roopam Shukla, Francesca Pianosi & Thorsten Wagener (2022) How climate change and unplanned urban sprawl bring more landslides, Nature 608, 262-265 (2022).
https://doi.org/10.1038/d41586-022-02141-9

Deva Charan Jarajapu, MaheswaranRathinasamy, AnkitAgarwal, AxelBronstert (2022) Design Flood Estimation using Extreme Gradient Boosting-based on Bayesian Optimization, Journal of Hydrology, 128341.
https://doi.org/10.1016/j.jhydrol.2022.128341

Abinesh Ganapathy, Ankit Agarwal (2022) Customized sea-surface temperature indicators linking to streamflow at different timescales. International Journal of Climatology. doi:10.1002/joc.7853

Pant, T, Ganapathy, A and Agarwal, A (2022). Investigating streamflow variability and hydroclimatic teleconnections: a comparison of regulated and unregulated streamflow stations. Journal of Water and Climate Change: jwc2022369.
https://doi.org/10.2166/wcc.2022.369

Ashish Manoj J, Ravi Kumar Guntu., and Ankit Agarwal., 2022. Spatiotemporal Dependence of Soil Moisture and Precipitation over India. Journal of Hydrology .
https://doi.org/10.1016/j.jhydrol.2022.127898

Beyene, T. K., Jain, M. K., Yadav, B. K., & Agarwal, A. (2022). Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies. Stochastic Environmental Research and Risk Assessment, 36(5), 1503–1519.
https://doi.org/10.1007/s00477-021-02120-y

Kashyap, A., Behera, M. D., Pandey, A. K., and Agarwal, A.: Spatial distribution of bedrock landslides over the landscape evolution in NW Himalayan River catchments, EGUsphere,
https://doi.org/10.5194/egusphere-2022-533 2022

Sridhara Setti, Kamal Kumar Barik, Bruno Merz, Ankit Agarwal & Maheswaran Rathinasamy (2022) Investigating the impact of calibration timescales on streamflow simulation, parameter sensitivity and model performance for Indian catchments, Hydrological Sciences Journal, 67:5, 661-675, DOI: 10.1080/02626667.2022.2036340

Agarwal, A., Guntu, R.K., Banerjee, A., Gadhawe, M.A., Marwan, N., 2022. A complex network approach to study the extreme precipitation patterns in a river basin. Chaos Interdiscip. J. Nonlinear Sci. 32, 013113.
https://doi.org/10.1063/5.0072520

Agarwal, A., Yuan, N., Cheung, K.K.W., Shukla, R., 2021. Emerging Hydro-Climatic Patterns, Teleconnections, and Extreme Events in Changing World at Different Timescales. Atmosphere 13, 56.
https://doi.org/10.3390/atmos13010056

Kumar, S., Kumar Guntu, R., Agarwal, A*., Govind Kumar Villuri, V., Pasupuleti, S., Raj Kaushal, D., Kumar Gosian, A., Bronstert, A., 2022. Multi-objective optimization for stormwater management by green-roofs and infiltration trenches to reduce urban flooding in central Delhi. J. Hydrol. 127455.
https://doi.org/10.1016/j.jhydrol.2022.127455

Karisma Yumnam, Ravi Kumar Guntu, Maheswaran Rathinasamy, and Ankit Agarwal (2021). Quantile-based Bayesian Model Averaging approach towards merging of precipitation products. Journal of Hydrology.
https://doi.org/10.1016/j.jhydrol.2021.127206

Yeditha, Pavan Kumar, Tarun Pant, Maheswaran Rathinasamy, and Ankit Agarwal. "Multi-scale investigation on streamflow temporal variability and its connection to global climate indices for unregulated rivers in India." Journal of Water and Climate Change (2021).
https://doi.org/10.2166/wcc.2021.189

Yeditha, Pavan Kumar, Maheswaran Rathinasamy, Sai Sumanth Neelamsetty, Biswa Bhattacharya, and Ankit Agarwal. "Investigation of satellite rainfall-driven rainfall–runoff model using deep learning approaches in two different catchments in India." Journal of Hydroinformatics (2021).
https://doi.org/10.2166/hydro.2021.067

Guntu, R.K., Agarwal, A. Disentangling increasing compound extremes at regional scale during Indian summer monsoon. Sci Rep 11, 16447 (2021).
https://doi.org/10.1038/s41598-021-95775-0

Durga Prasad Panday, Rakesh Khosa, Rathinasamy Maheswaran, K Ravikumar and Ankit Agarwal (2021). Game theoretic-based modelling of Krishna waters dispute: Equilibrium solutions by hypergame analysis (2021). European Physics Journal-B.
https://doi.org/10.1140/epjb/s10051-021-00135-6

Durga Prasad Panday, Rakesh Khosa, Rathinasamy Maheswaran, K Ravikumar and Ankit Agarwal (2021). Game Theoretic Based Modelling of Krishna Waters Dispute - Equilibrium Solutions by Metagame Analysis. European Physics Journal-B.
https://doi.org/10.1140/epjb/s10051-021-00107-w

Ravikumar, K., Khosa, R. & Agarwal, A. (2021). Metagame analysis of Cauvery River dispute incorporating interannual variability in virgin runoff potential of the basin. Eur. Phys. J. B 94, 172 (2021).
https://doi.org/10.1140/epjb/s10051-021-00174-z

Guntu, R. K., & Agarwal, A. (2021). Disentangling increasing compound extremes at regional scale during Indian summer monsoon. Scientific reports, 11 (1), 1-14.

Ozturk, U., Saito, H., Matsushi, Y., Crisologo, I., & Schwanghart, W. (2021). Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting?. Landslides, 1-15.

Shugar,D. H., Jacquemart, M, Shean,D. , Bhushan,S., Upadhyay, K., Sattar, A., Schwanghart, W., McBride, S.,Van Wyk de Vries, M., M. Mergili, A. Emmer, C. Deschamps-Berger, M. McDonnell, R. Bhambri, S. Allen, E. Berthier, J. L. Carrivick, J. J. Clague, M. Dokukin, S. A. Dunning, H. Frey, S. Gascoin, U. K. Haritashya, C. Huggel, A. Kääb, J. S. Kargel, J. L. Kavanaugh, P. Lacroix, D. Petley, S. Rupper, M. F. Azam, S. J. Cook, A. P. Dimri, M. Eriksson, D. Farinotti, J. Fiddes, K. R. Gnyawali, S. Harrison, M. Jha, M. Koppes, A. Kumar, S. Leinss, U.Majeed, S. Mal, A. Muhuri, Noetzli,J. Paul,F., Rashid, I., Sain, K., Steiner, J., Ugalde,F., Watson., C. S., Westoby, M. J. (2021) A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya. Science.
https://doi.org/10.1126/science.abh4455

Ozturk, U., Saito, H., Matsushi, Y., Crisologo, I., & Schwanghart, W. (2021). Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting?. Landslides, 1-15.
https://doi.org/10.1007/s10346-021-01689-3

Raj, S., Shukla, R., Trigo, R. M., Merz, B., Rathinasamy, M., Ramos, A. M., & Agarwal, A (2021). Ranking and Characterization of Precipitation Extremes for the past 113 years for Indian western Himalayas. International Journal of Climatology.
https://doi.org/10.1002/joc.7215

Agrawal, P., Sinha, A., Kumar, S., Agarwal, A., Banerjee, A., Villuri, Vasanta, G.K., Annavarapu, C. S.R., Dwivedi, R., Dera, V. V.R., Sinha, J., & Pasupuleti, S. (2021). Exploring Artificial Intelligence Techniques for Groundwater Quality Assessment. Water, 13(9), 1172.
https://doi.org/10.3390/w13091172

Gadhawe, M. A., Guntu, R. K., & Agarwal, A., (2021). Network-based exploration of basin precipitation based on satellite and observed data. The European Physical Journal Special Topics, 1-15.
https://doi.org/10.1140/epjs/s11734-021-00017-z

Kalyan, A. V. S., Ghose, D. K., Thalagapu, R., Guntu, R. K., Agarwal, A., Kurths, J., & Rathinasamy, M. (2021). Multiscale Spatiotemporal Analysis of Extreme Events in the Gomati River Basin, India. Atmosphere, 12 (4), 480.
https://doi.org/10.3390/atmos12040480

Kumar, S., Agarwal, A., Villuri, V. G. K., Pasupuleti, S., Kumar, D., Kaushal, D. R., Gosain, A.K., Bronstert, A., & Sivakumar, B. (2021). Constructed wetland management in urban catchments for mitigating floods. Stochastic Environmental Research and Risk Assessment, 1-20.
https://doi.org/10.1007/s00477-021-02004-1

Kumar, Y. P., Maheswaran, R., Agarwal, A., & Sivakumar, B. (2021). Intercomparison of downscaling methods for daily precipitation with emphasis on wavelet-based hybrid models. Journal of Hydrology, 126373.
https://doi.org/10.1016/j.jhydrol.2021.126373

Panday, D.P., Khosa, R., Maheswaran, R., Ravikumar, K., & Agarwal, A., (2021) Game-theoretic-based modelling of Krishna waters dispute: equilibrium solutions by Metagame Analysis. Eur. Phys. J. B 94, 101.
https://doi.org/10.1140/epjb/s10051-021-00107-w

Raj, S., Shukla, R, Trigo, R.M., Merz, B., Rathinasamy, M., Ramos, A.M., & Agarwal, A.* (2021). Ranking and Characterization of Precipitation Extremes for the past 113 years for Indian western Himalayas. International Journal of Climatology. (Provisional Acceptance)

Rana, K., Ozturk, U. and Malik, N. (2021): Landslide Geometry Reveals its Trigger. Geophysical Research Letters.
https://doi.org/10.1029/2020GL090848

Setti, S., Maheswaran, R., Sridhar, V., Barik, K. K., Merz, B., & Agarwal, A. (2020). Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling. Atmosphere, 11 (11),1252.
https://www.mdpi.com/2073-4433/11/11/1252

Wolf, F., Ozturk, U. Cheung, K., and Donner, R.V. (2021): Spatiotemporal patterns of synchronous heavy rainfall events in East Asia during the Baiu season, Earth Syst. Dynam. 12, 295–312.
https://doi.org/10.5194/esd-12-295-2021

Agarwal, A. , ., Marwan, N., Maheswaran, R., Ozturk, U., Kurths, J., and Merz, B. (2020): Optimal Design of Hydrometric Station Networks Based on Complex Network Analysis. Hydrology and Earth System Sciences 24, no. 5 (May 8, 2020): 2235–51.
https://www.hydrol-earth-syst-sci.net/24/2235/2020/

Setti, S., Maheswaran, R., Sridhar, V., Barik, K.K., Merz, B. and Agarwal, A. . (2020): Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling. Atmosphere 11, 1252.
https://www.mdpi.com/2073-4433/11/11/1252

Guntu, R.K., Agarwal, A. (2020): Spatial extent of concurrent extremes over India and its teleconnection to climate indices. AGU 2020 Fall Meeting.
https://doi.org/10.1002/essoar.10505419.1

Yumnam, K., Guntu, R.K., Kumar, A., and Agarwal, A. (2020): Emerging Spatiotemporal Patterns of Trends of Extremes in Indian Summer Monsoon. AGU 2020 Fall Meeting.
https://doi.org/10.1002/essoar.10505423.1

Shukla, R., Agarwal, A. Gornott. C., Sachdeva, K., and Joshi, P.K. (2019): Farmer typology to understand differentiated climate change adaptation in Himalaya. Scientific Reports.
https://doi.org/10.1038/s41598-019-56931-9

Kurths, J*.,Agarwal, A*., Shukla, R., Marwan, N., Maheswaran, R., Caesar, L., Krishnan, R., and Merz, B. (2019): Unraveling the spatial diversity of Indian precipitation teleconnections via nonlinear multi-scale approach. Nonlinear process in Geophysics discussion.
https://www.nonlin-processes-geophys.net/26/251/2019/ (* equally share the first authorship)

Schwanghart, W., Ryan, M., and Korup, O., (2018): Topographic and seismic constraints on the vulnerability of Himalayan hydropower. Geophysical Research Letters, 45, 8985-8992.
10.1029/2018GL079173 – In the news: Nature News, Spektrum (in German)

Shukla, R., Agrawal, A., Sachdeva, K., Kruths, J., and Joshi, P.K. (2018): Climate change perception: an analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas. Climatic Change, 152, 103-119.
https://link.springer.com/article/10.1007/s10584-018-2314-z

Shukla, R., Chakraborty, A., Sachdeva, K., and Joshi, P.K. (2018): Agriculture in Uttarakhand - an asset turning into a liability. Development in Practice.
https://doi.org/10.1080/09614524.2018.1420140

Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O. (2016): Uncertainty in the Himalayan energy-water nexus: estimating regional exposure to glacial lake outburst floods. Environmental Research Letters, 11, 074005.
10.1088/1748-9326/11/7/074005 – In the news: Scientific American, Environmental Research Web, The Hindu

Schwanghart, W., Bernhardt, A., Stolle, A., Hoelzmann, P., Adhikari, B.R., Andermann, C., Tofelde, S., Merchel, S., Rugel, G., Fort, M., and Korup, O. (2016): Repeated catastrophic valley infill following medieval earthquakes in the Nepal Himalaya. Science, 351, 147-150.
10.1126/science.aac9865 – In the news: Nature, ESKP, Earth Magazine, Planet Erde, NZZ

CONFERENCE PARTICIPATION

Guntu, R.K, Merz, B and Agarwal, A; “Complex networks for quantifying modulators of compound extremes”. Water Security and Climate Change Conference," 12/2022, Bangkok.

Guntu, R.K, Merz, B and Agarwal, A; Effect of reference period on the likelihood of the compound dry and hot event. AGU Fall Meeting, 12/2022, Chicago.

Ganapathy, A., Hannah, D.M., and Agarwal, A.; Flood Classification Based on Hydrograph Characteristics. AGU Fall Meeting, 12/2022, Chicago.

Dhote, P.R., Agarwal, A., Thakur, P.K. Satellite radar and lidar altimeters observed seasonal variation in water level of Ganga River. AGU Fall Meeting, 12/2022, Chicago.

Kassa, T, Jain, M.K., Agarwal, A, and Yadav, B.K. Spatial Characteristics of Drought Propagation from Meteorological to Hydrological Drought over Ethiopia. Abstract ID: 1104086, Paper No. A46E-12. Presented at AGU Fall Meeting, Chicago IL, USA,

Schwanghart, W., Öztürk, U., Sen, S., Agarwal, A., & Koru, O. (2021, 19-30 April). Hydropower in the Himalayan hazardscape [Conference presentation]. EGU General Assembly 2021, online, EGU21-16589.
https://doi.org/10.5194/egusphere-egu21-16589

Ganapathy, A., Guntu, R. V., Ozturk, U., Bruno Merz, B. & Agarwal,A. (2021, 19-30 April). Network-based approach to unravel sea-surface temperature and streamflow connectivity at different timescales. [Conference presentation]. EGU General Assembly 2021, online, EGU21-4670.
https://doi.org/10.5194/egusphere-egu21-4670

Guntu, R. K., & Agarwal, A. (2021, 19-30 April). Wavelet Entropy Energy Measure (WEEM): A multiscale measure to grade a geophysical system's predictability. [Conference presentation]. EGU General Assembly 2021, online, EGU21-703.
https://doi.org/10.5194/egusphere-egu21-703

Pant, T., Yeditha, P. K., Agarwal, A. & Rathinasamy, M. (2021, 19-30 April). Disentangling spatiotemporal characteristics of six different unregulated streamflow stations in India. [Conference presentation]. EGU General Assembly 2021, online, EGU21-7362.
https://doi.org/10.5194/egusphere-egu21-736

Gadhawe, M., Guntu, R. K., & Agarwal, A. (2021, 19-30 April). Network-based approach to explore basin network comparing observed and satellite dataset. [Conference presentation]. EGU General Assembly 2021, online, EGU21-4840.
https://doi.org/10.5194/egusphere-egu21-4840

Yumnam, K., Guntu, R. K., Agarwal, A. & Rathinasamy, M. (2021, 19-30 April). Merging of satellite precipitation products: A quantile based Bayesian model averaging approach. [Conference presentation]. EGU General Assembly 2021, online, EGU21-3024.
https://doi.org/10.5194/egusphere-egu21-3024

CONFERENCE PRESENTATIONS

Guntu, R. K., Merz, B., and Agarwal, A.: Understanding and quantifying potential drivers of compound extremes: A complex networks based on multiscale entropy approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-215,
https://doi.org/10.5194/egusphere-egu22-215, 2022.

Ganapathy, A. and Agarwal, A.: Event clustering approach for flood frequency analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-93,
https://doi.org/10.5194/egusphere-egu22-93, 2022.

Manoj J, A., Pérez Ciria, T., Chiogna, G., Salzmann, N., and Agarwal, A.: Investigating Spatial Patterns And Characteristics Of Preconditioned Compound Flooding Over Europe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10435,
https://doi.org/10.5194/egusphere-egu22-10435, 2022.

Singhal, P., Goel, N. K., Agarwal, A., Bronstert, A., and Vormoor, K.: Projection of flood seasonality Changes in the Himalayan Region River due to global warming, taking the Garhwal Himalayas river basin as an example, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5512,
https://doi.org/10.5194/egusphere-egu22-5512, 2022.

Dhote, P. R., Moothedan, A. J., Thakur, P. K., and Agarwal, A.: Flood risk assessment framework for Himalayan river basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-595,
https://doi.org/10.5194/egusphere-egu22-595, 2022.

Singh, K. N., Nocke, T., Shukla, R., Joshi, P. K., Agarwal, A., and Kurths, J.: Quantifying emerging patterns of greening and browning in the Himalayan region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8654,
https://doi.org/10.5194/egusphere-egu22-8654, 2022.

Moothedan, A. J., Dhote, P. R., Thakur, P. K., and Agarwal, A.: Projection of future pluvial flood events over Himalayan river basin under CMIP6 climate data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-438,
https://doi.org/10.5194/egusphere-egu22-438, 2022.

Chouhan, S., Narang, A., and Mukherjee, M.: Multi-Hazard Risk Assessment of Schools in Lower Himalayas: Haridwar District, Uttarakhand, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4333,
https://doi.org/10.5194/egusphere-egu22-4333, 2022.

Malakar, B., Ozturk, U., and Sen, S.: The link between downstream river planform changes and upstream changes or processes in high energy mountain rivers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4284,
https://doi.org/10.5194/egusphere-egu22-4284, 2022.

Saha, A., Jain, M., and Schwanghart, W.: Forecasting the evolution and growth of glacial lakes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9009,
https://doi.org/10.5194/egusphere-egu22-9009, 2022.

Research Gallery

The research gallery of IIT Roorkee is to portrait the PhD scholar’s research work and categorizes based on R&D themes, research areas, topic, department and sponsoring agency and key words which are specific to the research. Research work from one of the Co-PREPARE sponsored students has been published in the research gallery website. The details are given below.

More about research gallery: http://researchgallery.iitr.ac.in/#/

‘Forecasting the evolution and growth of glacial lakes’ – Mr. Aniruddha Saha, Supervisor: Prof. Manoj Jain, Department of Hydrology.

The glaciers in the Himalayas are rapidly retreating, and thus an increase in the number of glacial lakes and thereby, the potential threat of GLOF (Glacial Lake Outburst Flood) events. We aim to forecast the evolution and growth of proglacial lakes over Gangotri Glacier. We identify the potential sites of formation of glacial lakes, by preparing the glacier bed. A glacier evolution model is then used for updating the glacier surface using the climate model data. The updated glacier surface data helps us forecast the evolution and growth of glacial lakes. Our results shall help determine the possibility of further expansion of the glacial lakes present and their maximum storage capacities. Having an idea of the formation and growth of lakes in future can help us forecast the hazard potential of a lake, its flood peak, and the downstream effect of its dam break events as it evolves over time.

research_gallery_1

Link to access the video: : http://researchgallery.iitr.ac.in/#/research/214