Ankit Agarwal
Assistant professor
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Interests
Data driven analysis of Earth System, Hydroclimatology, Hydro-climatic patterns, teleconnections, and extreme events, Machine Learning, Artifical Intelligence, Big data, wavelets and complex network, Adaptation and Mitigation, Water Security
ankit.agarwal@hy.iitr.ac.in
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https://twitter.com/Ank_iitR
Biosketch
Educational Details
Professional Background
Administrative Positions

Research
Projects
Papers
Books
Collaborations

Honours and Awards
Honors
Memberships

Teaching Engagements
Teaching Engagements

Students
Supervisions
Associate Scholars

Miscellaneous
Events
Visits
Miscellaneous
BioSketch
Educational Details
Jai Narayan Vyas University Jodhpur
2013
Bachelor of Engineering, Civil Engineering
IIT Delhi
2015
Master of Technology, Water Resource Engineering
University of Potsdam
2018
PhD, Hydrology
Professional Background
Assistant Professor
01 Jan 2019 - Present
Indian Institute of Technology Roorkee
Visiting scientist
31 Aug 2020 - Present
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Visiting doctoral researcher
31 Aug 2020 - Present
GFZ German Research Centre for Geosciences, Potsdam, Germany
Doctoral Researcher
31 Aug 2020 - Present
University of Potsdam, Germany
Visiting Researcher
31 Aug 2020 - Present
Technical University-Dresden, Germany
Administrative Positions
Convener
01 Jan 2020 - 16 Jan 2022
Department Faculty Search Committee
Faculty coordinator
01 Jan 2020 - 01 Jan 2020
Cognizance 2020 (18th edition of Cognizance)
Web Management & Departmental Media Committee
01 Jan 2020 - Present
Departmental Media Committee
Nominated advisory committee
01 Jan 2020 - Present
Institute Computer Center (ICC)
Research
Projects
TOPIC START DATE FIELD DESCRIPTION FINANCIAL OUTLAY FUNDING AGENCY OTHER OFFICERS
Hydraulic Study for Remodelling of a Drain Section Near Proposed Sahibabad Station of Delhi-Meerut RRTS Corridor 01 Jan 2021 Hydraulics The main objective was to investigate the hydraulic analysis of the drain section under 5- and 25- year return period and also due to reduction in drain cross-sections at NCRTC’s construction activities at the proposed Sahibabad station. To achieve the objective, the consultant has first developed SWAT model for catchment hydrology and then SWMM model for drain hydraulic based on the data collected from different sources. For rainfall analysis, Gumbel method has been deployed as per CPHEEO (Central Public Health and Environmental Engineering Organisation), Government of India (GoI). The report explains the methodology in details and proposed drain remodelling at one critical segment. 1.18 Lacs Geoknit Consultancy
Theory of Change Observatory on Disaster Resilience 01 Jan 2020 Climate change, Natural Hazard, Resilience joint project sponsored by Belmont Forum; participating as an associated partner with other partners from Pen State University, USA, Cranfield University, UK, and University of Sao Paulo, Brazil; Euro 1070000; Rs 9.4 Crores; Belmont Forum Prof. NK Goel (PI)
Development of operational Inflow forecasting system for Chamera project 01 Jan 2020 Hydrology, climate change, Machine Learning 1.36 Crore NHPC Prof. NK Goel (PI)
Operational Inflow forecasting system for Tehri dam 01 Jan 2020 Hydrology 29.09 Lacs THDCIL Prof. NK Goel (PI)
Spatiotemporal deep machine learning models for merging multiple satellite precipitation products for Earth system analysis. 01 Jan 2022 Climate 15K USD Microsoft AI4Earth grants
COPREPARE: Collaborative Indo-German PRoject on Estimating and Predicting NAtural Hazards in the Himalayan REgion 01 Jul 2020 Earth Science, Natural Hazards and Risks, Hydrology, Geomorphology, Adaptation and Mitigation and Internationalization Hydrological, meteorological or climatological disasters account for 45% of the fatalities and 79% of the economic losses caused by natural hazards. Risks arising from hazards like landslides, glacial lake outbursts, large river floods and flash floods navigate across multiple disciplines and go beyond the expertise of a single research group or research institute. Interdisciplinary and international collaborative efforts enhance scientific discovery and transnational research, which is limited despite the clear benefits. Co-PREPARE facilitates cooperation between the University of Potsdam (UP) and Indian Institute of Technology Roorkee (IIT Roorkee) and aims to build capacity in joint hazard research by sharing expertise and creating new knowledge together. Within this cooperation, our aim is to amalgamate our expertise, methods and data to advance the understanding of the impacts and changes in the Uttarakhand state and beyond, a part of Indian Himalayas. Acknowledging that sustainable cooperation can only be achieved through research and teaching commitment, both scientific work and training are at the heart of our collaborative effort. Our primary goals are: to strengthen the efforts of institutional internationalization, to foster collaborative research and to generate actionable knowledge. 800,000 Euros 6.4 Crore University Grant Comission and DAAD Prof. Axel Bronstert (German PI)
Detailed Hydraulic and Hydrologic Study of Drains Near Vaishali Metro Station 01 Jan 2020 Hydraulics, GIS, Hydrology The main objective was to investigate the flooding in both the drain sections under different return period and also due to reduction in drain cross-sections at some NCRTC's proposed construction activities. 1.18 Lacs GeoKnit Consultancy Services Private Limited
Multi-scale investigation addons to intrinsic predictability of a time series 09 Mar 2020 Earth Science, Hydroclimatology, Nonlinear Dynamics Shannon (1948) formulated the information entropy, now called Shannon entropy, to quantify the information with respect to a thought called “surprise” within the context of communication engineering. Generally speaking, entropy (Shannon, 1948) can be considered as a measure of dispersion, uncertainty, disorder, and diversification. Singh (1997) discussed the use, strengths, and limitations of Shannon entropy and suggested that it can serve as a decision-making tool in hydrology and water resources. Over the last few decades, Shannon entropy has been applied to study many different problems in hydrology and water resources. In this project, we used various forms of Entropy for Earth System Analysis. 17.5 Lacs Seed Fudning IIT Roorkee
Anomalous Moisture Transport for Hydrological Extremes in a Changing Climate 01 Mar 2022 Climate 200K Euros DST Prof Ricardo Trigo Institute, University of Lisbon
Spatiotemporal deep machine learning models for merging multiple satellite precipitation products for Earth system analysis 01 Oct 2021 Machine Learning 15000K USD Microsoft




Honors And Awards
Honors
INTERNATIONAL ASSOCIATION OF HYDROLOGICAL SCIENCES
2022
IAHS Sivapalan Young Scientists Travel Awards (SYSTA)
German Academic Exchange Service (DAAD)
2022
DAAD Research Ambassador
MemberShips
Nature Scientific Reports
31 Aug 2020 - Present
Editor
Hydrological Sciences Journal
01 Aug 2021 - Present
Associate Editor
American Meteorological Society
01 Aug 2021 - Present
Associate Editor
Atmosphere (MDPI)
31 Aug 2020 - Present
Guest Editor
MDPI open access/ Atmosphere journal
31 Aug 2020 - Present
Topic Editor
Water and Built Environment
31 Aug 2020 - Present
Review Editor
American Geophysical Union
31 Aug 2020 - Present
Memer
GFZ German Research Centre for Geosciences, Potsdam, Germany
31 Aug 2020 - Present
Visiting Scientist
Young Hydrologist Society
31 Aug 2020 - Present
Member
European Geophysical Union
31 Aug 2020 - Present
Member
Teaching Engagements
Teaching Engagements
Hydrometeorology and Climate Change ( HYN513 )
Spring
Channel and Fluvial Hydraulics ( HYN516 )
Autumn
Soft Computing Techniques in Hydrology ( HYN555 )
Spring
Basics of Disaster Management and its implementation Concepts ( DS -502 )
Autumn
Students
SuperVisions
Compound Hydroclimatological Extremes
01 Jan 2020 - Present
Other Supervisors: , Scholar: Ravi Kumar Guntu
Connectivity of Global SST and Streamflow
24 Aug 2020 - 31 Aug 2023
Other Supervisors: , Scholar: Mr. Abinesh G
Satellite Altimetry and Hydrodynamic Modelling for Saparsely Gauged Basin
31 Jul 2021 - Present
Other Supervisors: , Scholar: Pankaj Ramji Dhote
Complexity based approach to forecast asian summer monsoon
01 Jan 2022 - Present
Other Supervisors: , Scholar: Sujata S Kulkarni
Emerging climatic Extremes over Ethopia
01 Sep 2020 - 31 Aug 2022
Other Supervisors: Prof. Manoj Jain Prof. Brijesh Yadav, Scholar: Tegegn Kassa
Flood forecasting using Artificial Intelligence and Machine Learning
01 Jan 2022 - Present
Other Supervisors: Prof. NK Goel, Scholar: Arjun Kaushik
Miscellaneous
Events
International Workshop on Complex Systems and Networks 2019
01 Jan 2019 - Present
DFG (German Research Foundation)
NATURAL-HAZARD SYMPOSIUM FOR THE INDIAN HIMALAYAS 2021 (NSIH 2021)
25 Oct 2021 - 28 Oct 2021
Co-PREPARE/UGC/DAAD
Roorkee Water Conclave 2022
02 Mar 2022 - 04 Mar 2022
IIT Roorkee/NIH Roorkee
Visits
Potsdam Institute for Climate Impact Research
2019-12-02
Research Visit
German Research Centre for Geosciences - GFZ-Potsdam
2020-03-09
Research Visit
University of Potsdam
2020-08-03
Research Stay
University of Potsdam
2021-07-19
Research Stay
Paper Recognition

Editor's choice and featured article

N.Ekhtiari, A. Agarwal, N. Marwan, R.V. Donner: Disentangling the multi-scale effects of sea-surface temperatures on global precipitation - A coupled networks approach. Chaos. https://aip.scitation.org/doi/10.1063/1.5095565

See short commentary here: https://aip.scitation.org/doi/10.1063/1.5115011.

NPG highlighted article

Kurths, J*., Agarwal, A*., Shukla, R., Marwan, N., Maheswaran, R., Caesar, L., Krishnan, R., and Merz, B.: 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/ 

NPG paper of the month

NPG Paper of the Month: “Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach.”

https://blogs.egu.eu/divisions/np/2019/09/20/npg-paper-of-the-month-kurths-et-al/

 

Publications

Agarwal, A, Guntu, R, K, Banerjee, Abhirup., Mayuri., G Marwan, Norbert., 2022. A complex network approach to study the extreme precipitation patterns in a river basin. Chaos 32, 013113. https://doi.org/10.1063/5.0072520

Agarwal, A.; Yuan, N.; Cheung, K.K.W.; Shukla, R. Emerging Hydro-Climatic Patterns, Teleconnections, and Extreme Events in Changing World at Different Timescales. Atmosphere 2022, 13, 56. https://doi.org/10.3390/atmos13010056

Dhote, P. R., Bansal, J. K., Garg, V., Thakur, P. K., and Agarwal, A.: Multi-mission altimetry data to evaluate hydrodynamic model-based stage-discharge rating curves in flood-prone Mahanadi River, India, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-101, in review, 2022.

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

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

Deva Charan Jarajapu, MaheswaranRathinasamy, AnkitAgarwal, Axel Bronstert (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

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) doi: https://doi.org/10.1038/d41586-022-02141-9

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.

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

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

Karisma YumnamRavi Kumar Guntu, Maheswaran Rathinasamy, and Ankit Agarwal (2021). Quantile-based Bayesian Model Averaging approach towards merging of precipitation products. Journal of Hydrology.

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).

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).

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

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. 10.1140/epjb/s10051-021-00135-6

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.https://doi.org/10.1140/epjb/s10051-021-00174-z

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

Purushottam Agarwal, Alok Sinha, Satish Kumar, Ankit Agarwal, Ashes Banerjee, Vasanta Govind Kuma Villuri, Chandra Sekhara Rao Annavarapu, Rajesh Dwivedi, Vijaya Vardhan Reddy Dera, Jitendra Sinha, Srinivas Pasupuleti (2021). Exploring Artificial Intelligence Techniques for Groundwater Quality Assessment. Water 13, no. 9: 1172. https://doi.org/10.3390/w13091172

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

Yeditha Pavan Kumar, Rathinasamy Maheswaran, Ankit Agarwal and Bellie Sivakumar (2021). Downscaling daily precipitation using wavelet-based hybrid models. Journal of Hydrology https://doi.org/10.1016/j.jhydrol.2021.126373

Saurav Raj, Roopam Shukla, Ricardo M. Trigo, Bruno Merz, Maheswaran Rathinasamy, Alexandre M. Ramos, Ankit Agarwal* (2021). Ranking and Characterization of Precipitation Extremes for the past 113 years for Indian western Himalayas. International Journal of Climatology. /10.1002/joc.7215 

Satish Kumar, Ankit Agarwal, Vasant Govind Kumar Villuri, Srinivas Pasupuleti, Dheeraj Kumar, Deo Raj Kaushal, Ashwin Kumar Gosain, Axel BronstertBellie Sivakumar,* (2021). Constructed Wetland Management in Urban Catchments for Mitigating Floods.  Stochastic Environmental Research and Risk Assessment. 10.1007/s00477-021-02004-1

Mayuri Ashokrao Gadhawe, Ravi Kumar Guntu, Ankit Agarwal* (2021). Network-based exploration of basin precipitation based on satellite and observed data. European Physics Journal-Special Topics. https://doi.org/10.1140/epjs/s11734-021-00017-z

Kalyan, AVS; Ghose, Dillip Kumar; Thalagapu, Rahul; Guntu, Ravi Kumar; Agarwal, Ankit; Kurths, Jürgen; Rathinasamy, Maheswaran. 2021. "Multiscale Spatiotemporal Analysis of Extreme Events in the Gomati River Basin, India" Atmosphere 12, no. 4: 480. https://doi.org/10.3390/atmos12040480

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 2020, 11, 1252. https://www.mdpi.com/2073-4433/11/11/1252 

 Kasi, V., Yeditha, P. K., Rathinasamy, M., Pinninti, R., Landa, S. R., Sangamreddi, C., Agarwal, A. and Dandu Radha, P. R. (2020): A novel method to improve vertical accuracy of CARTOSAT DEM using machine learning models, Earth Sci. Informatics. doi:10.1007/s12145-020-00494-1, 2020

Ravi Kumar Guntu, Rathinasamy Maheswaran, Ankit Agarwal, Vijay P. Singh (2020). “Accounting for temporal variability for improved precipitation regionalization based on self-organizing map coupled with information theory” Journal of Hydrology. 10.1016/j.jhydrol.2020.125236 

Yeditha, Pavan Kumar, Venkatesh Kasi, Maheswaran Rathinasamy, and Ankit Agarwal (2020). “Forecasting of Extreme Flood Events Using Different Satellite Precipitation Products and Wavelet-Based Machine Learning Methods.” Chaos: An Interdisciplinary Journal of Nonlinear Science 30(6): 063115.  https://doi.org/10.1063/5.0008195

Agarwal, Ankit, Norbert Marwan, Rathinasamy Maheswaran, Ugur Ozturk, Jürgen Kurths, and Bruno Merz (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

Ravi Kumar Guntu, Maheswaran Rathinasamy, Ankit Agarwal, and Bellie Sivakumar (2020). Spatiotemporal Variability of Indian rainfall using multi-scale entropy. Journal of Hydrology.  https://doi.org/10.1016/j.jhydrol.2020.124916

Ravi Kumar Guntu, Pavan Kumar Yeditha, Maheswaran Rathinasamy, Matjaž Perc, Norbert Marwan, Jürgen Kurths, and Ankit Agarwal (2020). Wavelet entropy-based evaluation of intrinsic predictability of time series. Chaos 30, 033117 (2020);   https://aip.scitation.org/doi/10.1063/1.5145005 

Jun Meng, Jingfang Fan, Josef Ludescher, Agarwal Ankit, Xiaosong Chen, Armin Bunde, Jurgen Kurths, and Hans Joachim Schellnhuber (2020): Complexity based approach for El Niño magnitude forecasting before the spring predictability barrier (PNAS).  https://www.pnas.org/content/early/2019/12/23/1917007117

Roopam Shukla, Ankit Agarwal, Christoph Gronott, Kamna Sachdeva and PK Joshi (2019). Farmer typology to understand differentiated climate change adaptation in the Himalayas. Scientific Reports.  https://www.nature.com/articles/s41598-019-56931-9 

Rathinasamy, M., Agarwal, A., Sivakumar, B., Marwan, N., and Kurths, J. (2019): "Wavelet analysis of precipitation extremes over India and teleconnections to climate indices. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-019-01738-3

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. (* equally share the first authorship). https://www.nonlin-processes-geophys.net/26/251/2019/ 

N.Ekhtiari, A. Agarwal, N. Marwan, R.V. Donner (2019): Disentangling the multi-scale effects of sea-surface temperatures on global precipitation - A coupled networks approach. Chaos. https://aip.scitation.org/doi/10.1063/1.5095565 

Agarwal, A., Caesar, L., Marwan, N., Maheswaran, R., Merz, B., and Kurths, J. (2019): Network-based identification and characterization of teleconnections on different time scales, Scientific Reports.  https://www.nature.com/articles/s41598-019-45423-5

Agarwal, A., Maheswaran, R., Marwan, N., Caesar, L., and Kurths, J. (2018): Wavelet-based multiscale similarity measure for complex networks, European Physics Journal-B, https://doi.org/10.1140/epjb/e2018-90460-6 

Agarwal, A., Marwan, N., Maheswaran, R., Merz, B. and Kurths, J. (2018): Quantifying the roles of single stations within homogeneous regions using complex network analysis, Journal of Hydrology, doi:10.1016/j.jhydrol.2018.06.050, 2018

Agarwal, A., Marwan, N., Rathinasamy, M., Merz, B. and Kurths, J. (2017): Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach. Nonlinear Process. Geophys., 24(4), 599–611, doi:10.5194/npg-24-599-2017, 2017.

Ozturk, U., Marwan, N., Korup, O., Saito, H., Agarwal, A., Grossman, M. J., Zaiki, M., and Kurths, J. (2017): Complex networks for tracking extreme rainfall during typhoons, Chaos. https://aip.scitation.org/doi/pdf/10.1063/1.5004480

Shukla, R., Agarwal, A., Sachdeva, K., Kurths, J., and Joshi, P.K (2017)s: Climate change perception: Analysis of climate change and risk perception among farmer types of Indian Western Himalayas. Climatic Change. https://link.springer.com/article/10.1007/s10584-018-2314-z

Rathinasamy, M., Agarwal, A., Parmar, V., Khosa, R., & Bairwa, A. (2017). Partial wavelet coherence analysis for understanding the standalone relationship between Indian Precipitation and Teleconnection patterns.  arXiv preprint arXiv:1702.06568.

Agarwal, A., Maheswaran, R., Kurths, J., & Khosa, R. (2016). Wavelet Spectrum and self-organizing maps-based approach for hydrologic regionalization-a case study in the western United States. Water Resources Management30(12), 4399-4413. https://doi.org/10.1007/s11269-016-1428-1

Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology538, 22-32. https://doi.org/10.1016/j.jhydrol.2016.03.02

Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Fischer, M., Heistermann, M., Köhn-Reich, L., López-Tarazón, J. A., Moran, T., Ozturk, U., Reinhardt-Imjela, C. and Wendi, D.: Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Sci. Total Environ., 630, 977–991, doi: 10.1016/j.scitotenv.2018.02.241, 2018

Ozturk, U., Wendi, D., Crisologo, I., Riemer, A., Agarwal, A., Vogel, K., López-Tarazón, J. A. and Korup, O.: Rare flash floods and debris flows in southern Germany, Sci. Total Environ., 626, 941–952, doi:10.1016/j.scitotenv.2018.01.172, 2018

Bronstert, A., Agarwal, A., Boessenkool, B., Fischer, M., Heistermann, M., Köhn-Reich, L., Moran T., Wendi, D. (2017): The flood of Braunsbach on May 29, 2016 - the origin, course and damage of a "centuries event". Part 1: Meteorological and hydrological analysis- hydrology & water management, 61, (3), 150-162; DOI: 10.5675 / HyWa_2017,3_1

Vogel, K., Ozturk, U., Riemer, A., Laudan, J., Sieg, T., Wendi, D., Agarwal, A., Rozer, V., Korup, O., Thieken, A (2017): The flood of Braunsbach on May 29, 2016 - the origin, course and damage of a "centuries event". Part 2: Geomorphological processes and damage analysis - Hydrology & Water Management, 61, (3), 163-175;  DOI: 10.5675 / HyWa_2017,3_

Vogel, K., Ozturk, U., Riemer, A., Laudan, J., Sieg, T., Wendi, D., Agarwal, A., Rozer, V., Korup, O., Thieken, A (2017): The flood of Braunsbach on May 29, 2016 - the origin, course and damage of a "centuries event". Part 2: Geomorphological processes and damage analysis - Hydrology & Water Management, 61, (3), 163-175;  DOI: 10.5675 / HyWa_2017,3_2

Book chapters and Reports

Agarwal, A., Marwan, N., Ozturk, U., and  Rathinasamy, M.: Unfolding Community Structure in Rainfall Network of Germany Using Complex Network-Based Approach.  Water Resources and Environmental Engineering II; 10.1007/978-981-13-2038-5_17

Chaudhary, S., Agarwal, A., and Nakamura, T.: Rainfall Projection in Yamuna River Basin, India, Using Statistical Downscaling. Water Resources and Environmental Engineering II; 10.1007/978-981-13-2038-5_2

Conference proceeding and workshop presentation

Saurav Raj*, Ankit Agarwal. Accounting magnitude, spatial extent and duration for ranking of extreme precipitation events in Indian Western Himalayan. American Geophysical Union; 12/2020. agu2020fallmeeting-agu.ipostersessions.com/Default.aspx?s=9D-99-83-35-99-B6-4D-36-E0-E1-60-BD-01-FF-37-25

Mayuri, AR*.; G, Ravi Kumar, Guntu and Ankit Agarwal: Network-based approach to explore basin network comparing observed and satellite dataset. European Geophysical Union; 04/2021.

Karisma, Y*., Ravi Kumar, Guntu and Ankit Agarwal: Merging of satellite precipitation products: A quantile based Bayesian model averaging approach. European Geophysical Union; 04/2021.

Abhinesh, G.*, Ravi Kumar, Guntu and Ankit Agarwal: Merging of satellite precipitation products: Network- based approach to unravel sea-surface temperature and streamflow connectivity at different timescales. European Geophysical Union; 04/2021.

Karisma, Y*., Ravi Kumar, Guntu, Aman Kumar and Ankit Agarwal: Emerging Spatiotemporal Patterns and Trends of Extremes in Indian Summer Monsoon. American Geophysical Union; 12/2020. https://doi.org/10.1002/essoar.10505423.1

Ravi Kumar*, Guntu and Ankit Agarwal: Wavelet Entropy Energy Measure (WEEM): A multiscale measure to grade a geophysical system's predictability. European Geophysical Union; 04/2021

Ravi Kumar, Guntu*., Ankit Agarwal and Bramha Dutt Vishwakarma: Unravelling teleconnections of terrestrial water storage via complex networks; IAG-ICCC workshop 03/2021.

Ravi Kumar, Guntu* and Ankit Agarwal: Standardized Variability Index (SVI): A multiscale index to assess the variability of precipitation. JpGU-AGU Joint Meeting, Japan; 07/2020.  https://doi.org/10.1002/essoar.10503941.1

Ravi Kumar, Guntu and Ankit Agarwal: Investigation of precipitation variability and extremes using Information theory. The 3rd International Electronic Conference on Atmospheric Sciences, Atmosphere; 11/2020. https://sciforum.net/paper/view/conference/8115

Ravi Kumar, Guntu* and Ankit Agarwal: Spatial extent of Compound extremes over India and its teleconnection to climate indices. American Geophysical Union; 12/2020. https://doi.org/10.1002/essoar.10505419.2

Ravi Kumar, Guntu* and Ankit Agarwal: Concurrent dry and hot events during the Indian summer monsoon and its linkages to ENSO. Workshop on Compound Weather and Climate Events. University of Bern, Switzerland; 01/2021

Ravi Kumar, Guntu* and Ankit Agarwal: Space-time framework for precipitation regionalization based on neural networks coupled with information entropy. 6th IAHR Europe Congress, Warsaw, Poland; 02/2021. (Awarded conference grant by the Institute of Geophysics Polish Academy of Sciences, Poland, Warsaw)

In: Kalinowska, M; Rowinski, P; Okruszko, T; Nones, M (Eds.), 6th IAHR Europe Congress Abstract Book, 542-543; ISBN: 978-83-66847-01-9 https://iahr2020.pl/wp-content/uploads/2021/02/Book-of-Abstracts-15-02-2021.pdf

Ankit Agarwal*, Norbert Marwan, Rathinasamy Maheswaran, Ugur Ozturk, Jürgen Kurths, and Bruno Merz. Optimal Design of Hydrometric Station Networks Based on Complex Network Analysis. American Geophysical Union; 12/2020.

Ravi Kumar Guntu, and Ankit Agarwal. Investigation of Precipitation Variability and Extremes Using Information Theory. https://sciforum.net/manuscripts/8115/manuscript.pdf

Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Bruno Merz, Raghavan Krishnan, Juergen Kurths: Unravelling Regionwise Teleconnections of Indian Rainfall Using Event Synchronization-Based Multiscale Nonlinear Method. Asian Oceanic Geosciences meeting-2018; 06/2018.

Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Bruno Merz, Juergen Kurths: Complex network-based approach for identification of influential and expandable station across rainfall network. European Geophysical Union 2018; 04/2018.

Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Bruno Merz, and Juergen Kurths: Multiscale complex network analysis: An approach to study spatiotemporal rainfall pattern in south Germany. European Geophysical Union 2017; 04/2017.

Jonas Laudan, Ugur Öztürk, Tobias Sieg, Dadiyorto Wendi, Adrian Riemer, Ankit Agarwal, Viktor Rözer, Oliver Korup, Annegret Thieken, and Kristin Vogel. A retrospective analysis of the flash flood in Braunsbach on May 29th, 2016. EGU2017-13464, European Geophysical Union 2016, Vienna; 04/2017.

Axel Bronstert, Agarwal Ankit, Boessenkool Berry, Fischer Madlen, Heistermann Maik, Köhn-Reich Lisei, Moran Thomas, and Wendi Dadiyorto. The Braunsbach Flashflood of May 29, 2016: A forensic analysis of the meteorological origin and the hydrological development an extreme hydro-meteorological event. EGU2017-2942, European Geophysical Union 2016, Vienna; 04/20167.

Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Ugur Ozturk, Bruno Merz, Juergen Kurths: Multiscale event synchronization analysis for unraveling climate processes: A wavelet-based approach. American Geophysical Union 2016, San Francisco; 12/2016

Ankit Agarwal, Norbert Marwan, Rathinasamy Maheswaran, Ugur Ozturk, Bruno Merz, Juergen Kurths: Multiscale event synchronization measure: A wavelet-based approach. Perspectives in Nonlinear Dynamics 2016, Humboldt-University Berlin, Germany; 07/2016, DOI:10.13140/RG.2.2.16589.64485.

Ugur Ozturk, Ankit Agarwal, Norbert Marwan, Jürgen Kurths, Oliver Korup: Spatiotemporal Pattern of Seasonal Extreme Rainfall over Japan Using Complex Networks. International school and conference of network science, Seoul 2016, South Korea; 05/2016

Ankit Agarwal, Rathinasamy Maheswaran, Juergen Kurths, Rakesh Khosa: Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States. Water Resources Management, European Geophysical Union-2016; 04/2016

Ankit Agarwal, Maheswaran Rathinasamy, Rakesh Khosa: Hydrologic Regionalization Using Wavelet Based Multi-Scale Entropy Method. American Geophysical Union-2015, San Fransisco, USA; 12/2015, DOI:10.13140/RG.2.1.2155.5289

Thesis

Ankit Agarwal. "Unravelling Spatio-temporal climatic patterns using the multi-scale complex network." PhD diss., University of Potsdam, Potsdam, Germany, 2018. DOI: 10.25932/publishup-42395

 Ankit Agarwal"Hydrologic Regionalization Using Wavelet-based Multiscale Entropy Technique." M.Tech, Indian Institute of Technology, DELHI, 2015. DOI: 10.13140/RG.2.1.2175.5287

Toolbox and codes

Climate Downscaling Toolbox

Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods.

Scientific blog/Thesis/Toolbox

Ankit Agarwal. Quantifying the Roles of Single Rain Gauges within Homogeneous Regions of a Rainfall Network. Scientific Trends 2018.

Roopam Shukla and Ankit Agarwal. Do Perceptions of Climate Change and its Impacts Differ Among Farmers in Indian Western Himalayas? Scientific Trends 2019.

Forecasting El Niño with entropy—a year in advance, https://arstechnica.com/science/2019/12/forecasting-el-nino-with-entropy-a-year-in-advance/

 

HydroClimatology LAB

Welcome to HydroClimatology LAB-Decomposing Complexity

The lab is developed by Ankit Agarwal at the department of Hydrology IIT Roorkee!!


WWW.hydroclimx.com

The lab focuses on studying the interactions and variability of natural processes synchronization of extreme events (climatic/hydrology) at different spatial and, temporal and even cross-scales. Our research shows the flavour of earth system dynamics, climate physics, stochastic hydrology, wavelet analysis, ensemble modelling, climate variability studies and some of its extension parts such as regionalization techniques, hydrologic classification and related subjects. A few of the tools that we use are network theory, event synchronization and wavelet.

 

Achievements

Mr Ravi Kumar Guntu (PhD candidate) received the conference grant for participation in the 6th IAHR Europe Congress 2020 in Warsaw, Poland under the program “PROM - International Scholarship Exchange of Doctoral Students and Academic Staff”. The conference will be organized by International Association for Hydro-Environment Engineering and Research (IAHR), and financed by: The Institute of Geophysics of the Polish Academy of Sciences, Warsaw, Poland.

Ms. Karisma Yumnam (Master Student) has been awarded a DAAD-KOSPIE fellowship to work on her master thesis at TU Munich. (September 2019 – May 2020 ).

Mr. Ashish Kumar Manoj J (Master Student) has been awarded ThinkSwiss Research Scholarship 2021 to visit University of Fribourg, Switzerland.

Mr. Ravi Kumar Guntu (PhD Candidate) was awarded the prestigious “INSPIRE Fellowship” from the Department of Science and Technology (DST), Government of India, to pursue doctoral studies.

Mr. Saurav Raj joined HydroClimX Lab through SPARK funding provided by IIT Roorkee.

Mayuri Gadhawe (Master Student) published her first international paper in European Physics Journal.

Mayuri Ashokrao Gadhawe, Ravi Kumar Guntu, Ankit Agarwal* (2021). Network-based exploration of basin precipitation based on satellite and observed data. European Physics Journal-Special Topics.  https://doi.org/10.1140/epjs/s11734-021-00017-z

 HydroClimX at vEGU 2021

COPREPARE and at vEGU 2021: Hydropower in the Himalayan hazardscape (EGU21-16589) by Wolfgang Schwanghart, Ugur Öztürk, Sumit Sen, Ankit Agarwal, and Oliver Koru. Session GM1.5 - 'Late-breaking Session: Hazard cascades from source to sink – the Elliot Creek and Chamoli events': Wednesday, 28 April 2021, 13:51 CEST.

 

HydroClimX Lab: Network-based approach to unravel sea-surface temperature and streamflow connectivity at different timescales (EGU21-4670) by Abinesh Ganapathy, Ravi Kumar Guntu, Ugur Ozturk, Bruno Merz and Ankit Agarwal. Session NP5.2 – ‘Complex systems science meets machine learning for new approaches to predictions and predictability estimation for geophysical systems’: Wednesday, 28 April 2021, 11:25 CEST.

 

HydroClimX Lab: Wavelet Entropy Energy Measure (WEEM): A multiscale measure to grade a geophysical system's predictability (EGU21-703) by Ravi Kumar Guntu and Ankit Agarwal. Session NP5.2: Wednesday, 28 April 2021, 13:30 CEST. https://doi.org/10.5194/egusphere-egu21-703

 

HydroClimX Lab: Disentangling spatiotemporal characteristics of six different unregulated streamflow stations in India (EGU21-7362) by Tarun Pant, Pavan kumar Yeditha, Ankit Agarwal, and Maheswaran Rathinasamy. Session HS7.4- ‘Hydroclimatic change and unchange: exploring the mysteries of variability, nature and human impact’: Thursday, 29 April 2021, 11:57 CEST.

 

HydroClimX Lab: Network-based approach to explore basin network comparing observed and satellite dataset (EGU21-4840) by Mayuri Gadhawe, Ravi Kumar Guntu and Ankit Agarwal. Session NP5.2 - 'Complex systems science meets machine learning for new approaches to predictions and predictability estimation for geophysical systems' : Wednesday, 28 April 2021, 13:45 CEST: https://doi.org/10.5194/egusphere-egu21-4840 

 

HydroClimX Lab: Merging of satellite precipitation products: A quantile based Bayesian model averaging approach by Karisma Yumnam, Ravi Kumar Guntu, Ankit Agarwal, and Maheswaran Rathinasamy. Session NP5.2 -'Complex systems science meets machine learning for new approaches to predictions and predictability estimation for geophysical systems': Wednesday, 28 April 2021, 13:41 CEST.

PhD student Ravi Kumar Guntu has been awarded a prestigious and highly competitive 12 months DAAD fellowship. He will be visiting Helmholtz-Centre Potsdam - German Research Centre GFZ for his PhD work. 

Ravi Kumar Guntu, PhD student has been selected for Prime Minister’s Research Fellowship (PMRF).

Saurav Raj (Undergraduate Student) published his first international paper in the International Journal of Climatology.

Ashish Manoj J (Master Ist year) received the Swiss Research Scholarship 2021. Ashish will be vising the University of Fribourg Switzerland to work on the topic of compound extremes.

Invited Talks
 

Topic

Organisation

Year

Multi-scale approaches in forecasting extreme floods and their global connections” at the

RISK-KAN lecture series. The Knowledge-Action Network on Emergent Risks and Extreme Events is a joint initiative of the Future Earth, IRDR, WCRP and WWRP programs https://www.risk-kan.org/ Aug' 2021

Multi-scale approaches in forecasting extreme floods and their global connections

 

School of Geography and the Environment, University of Oxford.

Nov'2021

Spatial diversity of Indian Rainfall Teleconnections

Technical University Munich, Germany

Nov’2020

Introducing wavelet and complex network-based approach to quantify emerging extremes

(Hydro-meteoerological Extreme events and Disaster Risk Management )

Discipline of Civil Engineering, Indian Institute of Technology Indore and National Institute of Disaster Management

June’ 2020

Wavelet entropy-based evaluation of intrinsic predictability of time series

GFZ German Research Centre for Geosciences, Potsdam, Germany

Mar’ 2020

Wavelet analysis of precipitation extremes over India and teleconnections to climate indices

Potsdam Institute for Climate Impact Research, Potsdam, Germany

Dec’ 2019

Understanding the scenarios of Hydro-climatic extremes in India

Govind Ballabh Pant Institute of Engineering & Technology, Ghurdauri

Nov’2019

Unravelling spatio-temporal climatic patterns via multi-scale complex networks

Digital Earth Project , GFZ German Research Centre for Geosciences, Potsdam, Germany

June’ 2019

Unravelling spatio-temporal climatic patterns via multi-scale complex networks

Indian Institute for Technology Kanpur

Feb’ 2019

Unravelling spatio-temporal climatic patterns via multi-scale complex networks

Czech Academy of Sciences

Dec’ 2018

Multi-scale complex networks in geoscience

Forschungszentrum Jülich

Oct’ 2018

 
Technical reports

Agarwal, A., B. Boessenkool, M. Fischer, I. Hahn, L. Köhn, J. LAUDAN, T. Moran, U. Oztürk, A. Riemer, V. Rözer, T. Sieg, K. Vogel, D. Wendi, A Bronstert, A. THIEKEN (2016): Die Sturzflut in Braunsbach, Mai 2016 - Eine Bestandsaufnahme und Ereignisbeschreibung. Taskforce im Rahmen des DFG-Graduiertenkollegs Natural Hazards and Risks in a Changing World, Universität Potsdam. 20 S. (in German, PDF-File).  http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-394881