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/

2023

1. J. Ashish Manoj, Teresa Pérez Ciria, Gabriele Chiogna, Nadine Salzmann, Ankit Agarwal, Characterising the coincidence of soil moisture - precipitation extremes as a possible precursor to European floods, Journal of Hydrology, 2023, 129445, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2023.129445.

2. GPU-based, interactive exploration of large spatio-temporal climate networks, Chaos Journal

2022

1. Sridhara Setti, Karisma Yumnam, Maheswaran Rathinasamy, Ankit Agarwal; Assessment of satellite precipitation products at different time scales over a cyclone prone coastal river basin in India. Journal of Water and Climate Change 2022; jwc2022166. doi: https://doi.org/10.2166/wcc.2022.166

2. Rawat, S., Ganapathy, A., Agarwal, A., 2022. Drought characterization over Indian sub-continent using GRACE-based indices. Sci. Rep. 12, 15432. https://doi.org/10.1038/s41598-022-18511-2

3. Setti, S., Barik, K. K., Merz, B., Agarwal, A., & Rathinasamy, M. (2022). Investigating the impact of calibration timescales on streamflow simulation, parameter sensitivity and model performance for Indian catchments. Hydrological Sciences Journal, DOI: 10.1080/02626667.2022.2036340

4. 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 

5. Kumar, S., Guntu, K, R., Agarwal, A., Govind Kumar Villuri, V., Pasupuleti, S., RajKaushal, 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

6. 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

7. 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

8. 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.

9. 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 

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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.

2021

16. Karisma Yumnam., Ravi Kumar Guntu., Maheswaran Rathinasamy., Ankit Agarwal., 2021. Quantile-based Bayesian Model Averaging approach towards merging of precipitation products. Journal of Hydrology 127206. https://doi.org/10.1016/j.jhydrol.2021.127206

17. Pavan Kumar Yeditha, Tarun Pant, Maheswaran Rathinasamy, 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; jwc2021189. doi: https://doi.org/10.2166/wcc.2021.189

18. Pavan Kumar Yeditha, Maheswaran Rathinasamy, Sai Sumanth Neelamsetty, Biswa Bhattacharya, Ankit Agarwal; Investigation of satellite rainfall-driven rainfall–runoff model using deep learning approaches in two different catchments in India. Journal of Hydroinformatics 2021; jh2021067. doi: https://doi.org/10.2166/hydro.2021.067

19. Kumar, S., Agarwal, A., Ganapathy, A. et al. Impact of climate change on stormwater drainage in urban areas. Stoch Environ Res Risk Assess (2021). https://doi.org/10.1007/s00477-021-02105-x

20. Yeditha, P. K., Pant, T., Rathinasamy, M., & Agarwal, A. (2021). 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. https://doi.org/10.2166/wcc.2021.189

21. Ravi Kumar Guntu and Ankit Agarwal*. “Disentangling increasing compound extremes at regional scale during Indian summer monsoon”, Scientific Reports, 11, 16447 (2021). https://doi.org/10.1038/s41598-021-95775-0  

22. 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

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

24. 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

25. 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

26. 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

27. 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

28. Agrawal P, Sinha A, Kumar S, Agarwal A, Banerjee A, Villuri VGK, Annavarapu CSR, Dwivedi R, Dera VVR, Sinha J, Pasupuleti S. Exploring Artificial Intelligence Techniques for Groundwater Quality Assessment. Water. 2021; 13(9):1172. https://doi.org/10.3390/w13091172

29. 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

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

2020

31. Setti, S.; Maheswaran, R.; Sridhar, V.; Barik, K.K.; Merz, B.; Agarwal, Ankit. Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling. Atmosphere 2020, 11, 1252. https://doi.org/10.3390/atmos11111252

32. 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

33. Guntu, Ravi Kumar, Rathinasamy Maheswaran, Ankit Agarwal, and Vijay P. Singh. "Accounting for temporal variability for improved precipitation regionalization based on self-organizing map coupled with information theory." Journal of Hydrology (2020): 125236. https://doi.org/10.1016/j.jhydrol.2020.125236

34. 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

35. 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

36. 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

37. Setti, S.; Maheswaran, R.; Sridhar, V.; Barik, K.K.; Merz, B.; Agarwal, A. Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling. Atmosphere 2020, 11, 1252.https://doi.org/10.3390/atmos11111252

38. 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

39. 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/

2019

42. 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

43. 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

44. 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/ 

This article has been selected as the NPG paper of the month and released as a featured article in EGU blogpost.

43. 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

This article has been selected as an Editor's pick and released as a featured article. https://aip.scitation.org/doi/10.1063/1.5115011.

44. 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

2018

45. 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 

46. 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.

47. 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

48. 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

2017

49. 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.

50. 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

51. 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 

52. 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. 

53. 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

54. 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

2016

55. 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 Management, 30(12), 4399-4413. https://doi.org/10.1007/s11269-016-1428-1

56. Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology, 538, 22-32. https://doi.org/10.1016/j.jhydrol.2016.03.023

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

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 3^rd 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. 6^th 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

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.

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/

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.

2023

1. Prof. Ankit Agarwal delivered a lecture on the topic titled “Multi-scale approaches in prediction hydro-meteorological extremes and teleconnections” on 07 Jan 2023 at NIT Warangal.

2. Prof. Ankit Agarwal has been invited as a keynote speaker in a conference on rural-urban transformation hosted by the University of Agricultural Sciences at GKVK Campus in Bengaluru, India, from February 1 to 3, 2023. 

3. Prof. Ankit Agarwal has been invited as a panelist at the Workshop of the B-EPICC Climate Capacities Project funded by the Germany’s International Climate Initiative (IKI), Magnolia Hall, India Habitat Center New Delhi, February 9 and 10, 2023.

4. Prof. Ankit Agarwal delivered a lecture on “Climate change implications in the design of Hydro and Thermal power projects” in training workshop “Hydrological Analysis and Planning for The Hydro and Thermal Power Project” organized by the Department of Hydrology from March 

5. Prof. Ankit Agarwal delivered a lecture on “Climate change implications on Eco-hydrological systems“ in “e-ITEC Training Program on Ecohydrology”organized by the Department of Hydrology from March 

2022

6. Prof. Ankit Agarwal was invited to deliver a keynote lecture on Soft computing in the International Faculty Development Programme on Applications of Numerical Optimization Techniques in Science & Technology, supported by the European Commission under ERASMUS+ credit Mobility Program at the Amity University on 23rd June 2022.

7. Prof. Ankit Agarwal was nominated to participate in the National Workshop cum brain-storming session “National Information System for Climate and Environment Studies (NICES)”scheduled on July 18 – 19, 2022 at ISRO, Antariksh Bhawan, Sadiq Nagar, New Delhi.

8. Prof. Ankit Agarwal was invited to deliver a keynote lecture on “Network Techniques in Hydro-Climatology” at the i-Connect event on,Climate Change through the lens of modelling, AI and ML on 21st July 2022 by Indian Institute of Tropical Meteorology.

9. Prof. Ankit Agarwal was panelist in the DAAD Panel Discussion: Research & Career Opportunities in the field of Geo- and Hydroscience scheduled on Nov 16, 2022.

2021

10. Prof. Ankit Agarwal delivered an invited lecture on the topic "Multi-scale approaches in forecasting extreme floods and their global connections” during the Oxford Hydrology seminar series at the School of Geography and the Environment, University of Oxford on Nov 15, 2021.

11. Prof. Ankit Agarwal was invited to deliver a lecture on “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/ on 18 August 2021.

2020

12. Prof. Ankit Agarwal delivered an invited lecture on the topic "spatial diversity of Indian Rainfall Teleconnections” during the Hydrology seminar series at the Technical University Munich, Germany on Nov 24, 2020.

13. Prof. Ankit Agarwal delivered an invited lecture on the topic "Introducing wavelet and complex network-based approach to quantify emerging extremes” at the Discipline of Civil Engineering, Indian Institute of Technology Indore and National Institute of Disaster Management on June, 2020.

14. Prof. Ankit Agarwal delivered an invited lecture on the topic "Wavelet entropy-based evaluation of intrinsic predictability of time series” at the GFZ German Research Centre for Geosciences, Potsdam, Germany in March, 2020.

2019

15. Prof. Ankit Agarwal delivered an invited lecture on the topic "Wavelet analysis of precipitation extremes over India and teleconnections to climate indices” at the Potsdam Institute for Climate Impact Research, Potsdam, Germany in December, 2019.

16. Prof. Ankit Agarwal delivered an invited lecture on the topic "Understanding the scenarios of Hydro-climatic extremes in India” at the Govind Ballabh Pant Institute of Engineering & Technology, Ghurdauri in  November, 2019.

17. Prof. Ankit Agarwal delivered an invited lecture on the topic "Unravelling spatio-temporal climatic patterns via multi-scale complex networks” at theDigital Earth Project , GFZ German Research Centre for Geosciences, Potsdam, GermanyDigital Earth Project , GFZ German Research Centre for Geosciences, Potsdam, Germany  in  June, 2019.

18. Prof. Ankit Agarwal delivered an invited lecture on the topic "Unravelling spatio-temporal climatic patterns via multi-scale complex networks” at the Indian Institute for Technology Kanpur  in  February, 2019.

2018

19. Prof. Ankit Agarwal delivered an invited lecture on the topic "Unravelling spatio-temporal climatic patterns via multi-scale complex networks” at the Czech Academy of Sciences  in  December, 2018.

20. Prof. Ankit Agarwal delivered an invited lecture on the topic "Multi-scale complex networks in geoscience” at the Forschungszentrum Jülich  in  October, 2018.

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