Ankit Agarwal - Department of Hydrology,Indian Institute of Technology Roorkee
Ankit Agarwal
Ankit Agarwal Assistant professor ankit.agarwal@hy.iitr.ac.in 4927 Website
Areas of Interest
  • 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
Professional Background
FromPeriodPositionOrganisation
2019-01-01OngoingAssistant Professor Indian Institute of Technology Roorkee
2020-08-31OngoingVisiting scientist Potsdam Institute for Climate Impact Research, Potsdam, Germany
2020-08-31OngoingGuest doctoral researcher Potsdam Institute for Climate Impact Research, Potsdam, Germany
2020-08-31OngoingVisiting doctoral researcher GFZ German Research Centre for Geosciences, Potsdam, Germany
2020-08-31OngoingDoctoral ResearcherUniversity of Potsdam, Germany
2020-08-31OngoingVisiting ResearcherTechnical University-Dresden, Germany
Multiple Posts
FromPeriodPositionOrganisation
2020-01-012 years 15 daysConvenerDepartment Faculty Search Committee
2020-01-01Faculty coordinatorCognizance 2020 (18th edition of Cognizance)
2020-01-01OngoingWeb Management & Departmental Media CommitteeDepartmental Media Committee
2020-01-01OngoingNominated advisory committee Institute Computer Center (ICC)
Educational Details
DegreeSubjectUniversityYear
Bachelor of EngineeringCivil EngineeringJai Narayan Vyas University Jodhpur2013
Master of TechnologyWater Resource EngineeringIIT Delhi2015
PhDHydrologyUniversity of Potsdam2018
Sponsored Research Projects
TopicFunding AgencyStart DatePeriod
Hydraulic Study for Remodelling of a Drain Section Near Proposed Sahibabad Station of Delhi-Meerut RRTS CorridorGeoknit Consultancy2021-01-014 months 30 days
Theory of Change Observatory on Disaster ResilienceBelmont Forum2020-01-013 years 11 months 29 days
Development of operational Inflow forecasting system for Chamera projectNHPC2020-01-013 years 11 months 30 days
Operational Inflow forecasting system for Tehri damTHDCIL2020-01-012 years 11 months 30 days
Spatiotemporal deep machine learning models for merging multiple satellite precipitation products for Earth system analysis.Microsoft AI4Earth grants2022-01-01Ongoing
Multi-scale investigation addons to intrinsic predictability of a time seriesSeed Fudning IIT Roorkee2020-03-091 year 11 months 23 days
COPREPARE: Collaborative Indo-German PRoject on Estimating and Predicting NAtural Hazards in the Himalayan REgionUniversity Grant Comission and DAAD2020-07-013 years 11 months 29 days
Detailed Hydraulic and Hydrologic Study of Drains Near Vaishali Metro StationGeoKnit Consultancy Services Private Limited2020-01-014 months 28 days
Memberships
  • Nature Scientific Reports, Editor
  • Hydrological Sciences Journal, Associate Editor
  • American Meteorological Society, Associate Editor
  • Atmosphere (MDPI) , Guest Editor
  • MDPI open access/ Atmosphere journal, Topic Editor
  • Water and Built Environment, Review Editor
  • American Geophysical Union, Memer
  • GFZ German Research Centre for Geosciences, Potsdam, Germany, Visiting Scientist
  • Young Hydrologist Society, Member
  • European Geophysical Union, Member
Teaching Engagements
TitleCourse CodeClass NameSemester
Hydrometeorology and Climate ChangeHYN513Hydrometeorology and Climate ChangeSpring
Channel and Fluvial HydraulicsHYN516MasterAutumn
Soft Computing Techniques in HydrologyHYN555Soft Computing Techniques in HydrologySpring
Basics of Disaster Management and its implementation ConceptsDS -502MasterAutumn
PHDs Supervised
TopicScholar NameStatus of PHDRegistration Date
Compound Hydroclimatological ExtremesRavi Kumar GuntuO2020-01
Connectivity of Global SST and StreamflowMr. Abinesh GO2020-08
Satellite Altimetry and Hydrodynamic Modelling for Saparsely Gauged BasinPankaj Ramji DhoteO2021-07
Complexity based approach to forecast asian summer monsoonSujata S KulkarniO2022-01
Emerging climatic Extremes over EthopiaTegegn KassaO2020-09
Visits to outside institutions
Institute VisitedPurpose of VisitDate
Potsdam Institute for Climate Impact ResearchResearch Visit2019-12-02
German Research Centre for Geosciences - GFZ-PotsdamResearch Visit2020-03-09
University of PotsdamResearch Stay2020-08-03
University of PotsdamResearch Stay2021-07-19
Invitations
TopicOrganistaionDate
Unraveling spatio-temporal climatic patterns via multi-scale complex networksCzech Academy of Sciences2018-01
Multi-scale complex network in geoscienceForschungszentrum Jülich2018-01
Unraveling spatio-temporal climatic patterns via multi-scale complex networks GFZ German Research Centre for Geosciences2019-01
Unraveling spatio-temporal climatic patterns via multi-scale complex networksIIT Kanpur2019-01
Courses or Conferences Organised
Conference NameSponsored ByDate
International Workshop on Complex Systems and Networks 2019DFG (German Research Foundation)2019-01
National International Collaboration
TopicOrganisation
Complex network analysis based on event synchronization of natural hazardsPotsdam Institute for Climate Impact Research, Germany
Unraveling the spatial diversity of Indian precipitation teleconnections via nonlinear multi-scale approachIndian Institute of Tropical Meteorology, Pune
Natural Hazards and Risks in a Changing WorldUniversity of Potsdam, Potsdam, Germany
Complex networks in hydrology and water resource systemsGFZ German Research Centre for Geosciences, Germany
Regionalization Using Wavelet Based Multi-Scale Entropy MethodTechnical University-Dresden, Germany
Hydrologic Regionalization Using Wavelet-Based Multi-Scale Entropy MethodThe University of New South Wales, Australia
Publications

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

 

 

  1. 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.

  2. 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

  3. 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

  4. 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).

  5. 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).

  6. 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.

     

  7. 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
  8. 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
  9. 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.
  10. 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
  11. 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
  12. 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
  13. 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 
  14. 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
  15. 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
  16. 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
  17. 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 
  18.  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
  19. 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 
  20. 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
  21. 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
  22. 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
  23. 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 
  24. 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
  25. 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 
  26. 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
  27. 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/ 
  28. 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 
  29. 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
  30. 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 
  31. 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
  32. 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.
  33. 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
  34. 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
  35. 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.
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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_
  42. 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

 

  1. 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
  2. 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

 

Technical reports

 

  1. 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

 

Scientific blog

 

  1. Ankit Agarwal. Quantifying the Roles of Single Rain Gauges within Homogeneous Regions of a Rainfall Network. Scientific Trends 2018.
  2. Roopam Shukla and Ankit Agarwal. Do Perceptions of Climate Change and its Impacts Differ Among Farmers in Indian Western Himalayas? Scientific Trends 2019.
  3. Forecasting El Niño with entropy—a year in advance, https://arstechnica.com/science/2019/12/forecasting-el-nino-with-entropy-a-year-in-advance/

 

Thesis

 

  1. 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
  2.  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.

 

 

 
Conference proceeding and workshop presentation
  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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
  6. 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
  7. Ravi Kumar, Guntu*., Ankit Agarwal and Bramha Dutt Vishwakarma: Unravelling teleconnections of terrestrial water storage via complex networks; IAG-ICCC workshop 03/2021.
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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)
  13. 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
  14. 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.
  15. Ravi Kumar Guntu, and Ankit Agarwal. Investigation of Precipitation Variability and Extremes Using Information Theory. https://sciforum.net/manuscripts/8115/manuscript.pdf
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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
  22. 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.
  23. 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
  24. 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
  25. 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
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 to study 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 as regionalization technique, 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 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

 
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