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/

2025

Raghuvanshi, A.S., Trigo, R.M., Agarwal, A. (2025). Climatology of extreme precipitation spells induced by cloudburst-like events during the Indian Summer Monsoon. Journal of Hydrology X, 26, 100197. https://doi.org/10.1016/j.hydroa.2024.100197

Cheung, K.K.W., Ozturk, U., Malik, N., Agarwal, A., Krishnan, R., Rajagopalan, B. (2025). A review of synchronization of extreme precipitation events in monsoons from a complex network perspective. Journal of Hydrology, 651, 132604. https://doi.org/10.1016/j.jhydrol.2024.132604

Beyene, T.K., Agarwal, A., Jain, M.K., Yadav, B.K. (2024). Hydrological drought vulnerability assessment in Ethiopia using multi-criteria decision-making. AQUA — Water Infrastructure, Ecosystems, and Society. https://doi.org/10.2166/aqua.2024.146

Chaudhary, A., Guntu, R.K., Sharma, S., Agarwal, A. (2025). Changing spatiotemporal dependence of precipitation-temperature during the Indian Summer Monsoon using observational and CMIP6 model simulations. Journal of Hydrology: Regional Studies, 57, 102169. https://doi.org/10.1016/j.ejrh.2024.102169

Bahmanpouri, F., Yadav, A., Massari, C., De Santis, D., Sharma, A., Agarwal, A., Sen, S., Fraccarollo, L., Moramarco, T., Barbetta, S. (2024). Application of the Entropy Model to estimate flow discharge and bed load transport with limited field measurements. Water, 16(24), 3684. https://doi.org/10.3390/w16243684

2024

Krause, S., Lynch, I., Agarwal, A., et al. (2024). Seven strategies to leverage water for peace and foster sustainable and just water management for all. Nature Water. https://doi.org/10.1038/s44221-024-00353-z

Dhote, P.R., Bansal, J.K., Garg, V., Thakur, P.K., Agarwal, A. (2024). A framework for generating rating curves in Mahanadi River using hydrodynamic model and radar altimetry data. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2024.2430387

Singhal, P., Goel, N.K., Bronstert, A., Vormoor, K., Agarwal, A., Arora, M. (2024). Understanding the flood seasonality in the Himalayan River Basin under changing climate. Preprint. Research Square. https://doi.org/10.21203/rs.3.rs-4550138/v1

Raghuvanshi, A.S., Agarwal, A. (2024). Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales. Scientific Reports, 14, 12512. https://doi.org/10.1038/s41598-024-62760-2

Ganapathy, A., Hannah, D.M., Agarwal, A. (2024). Improved estimation of extreme floods with data pooling and mixed probability distribution. Journal of Hydrology, 629, 130633. https://doi.org/10.1016/j.jhydrol.2024.130633

Dhote, P.R., Agarwal, A., Singhal, G., et al. (2024). River water level and water surface slope measurement from spaceborne radar and lidar altimetry: Evaluation and implications for hydrological studies in the Ganga River. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–20. https://doi.org/10.1109/JSTARS.2024.3379874

Guntu, R.K., Agarwal, A. (2024). Compound dry and hot extremes: A review and future research pathways for India. Journal of Hydrology, 131199. https://doi.org/10.1016/j.jhydrol.2024.131199

Raghuvanshi, A.S., Agarwal, A. (2024). Multiscale dynamics of transient merging between western disturbances and monsoonal lows: Connections to the July 2023 flood in Himachal Pradesh. Atmospheric Research, 107401. https://doi.org/10.1016/j.atmosres.2024.107401

Badika, P., Choudhary, M.K., Nayak, T., Jaiswal, R.K., Agarwal, A. (2024). Projected water availability in the Tawa River Basin, India in changing climate. Groundwater for Sustainable Development, 25, 101176. https://doi.org/10.1016/j.gsd.2024.101176

Batalini de Macedo, M., Mangukiya, N.K., Fava, M.C., et al. (2024). Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies. Proceedings of IAHS, 386, 41–46. https://doi.org/10.5194/piahs-386-41-2024

Arheimer, B., Cudennec, C., Castellarin, A., et al. (2024). The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN a Global world (HELPING). Hydrological Sciences Journal, 69(11), 1417–1435. https://doi.org/10.1080/02626667.2024.2355202

Badika, P., Raghuvanshi, A.S., Agarwal, A. (2024). Climate change impact assessment on the hydrological response of the Tawa Basin for sustainable water management. Groundwater for Sustainable Development, 101249. https://doi.org/10.1016/j.gsd.2024.101249

Gupta, H., Raghuvanshi, A.S., Agarwal, A. (2024). Extreme precipitation events in the Brahmaputra River basin during the Indian summer monsoon and its association with atmospheric moisture transport. Journal of Water and Climate Change. https://doi.org/10.2166/wcc.2024.486

Verma, S., Verma, R.K., Mishra, S.K., Agarwal, A., Sharma, N.K. (2024). Improved SCS-CN methodology incorporating storm duration and temporally decaying retention for enhanced runoff prediction. Journal of Hydrologic Engineering, 29, 04024045. https://doi.org/10.1061/JHYEFF.HEENG-6257

Schwanghart, W., Agarwal, A., Cook, K., et al. (2024). Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region. Natural Hazards and Earth System Sciences, 24, 3291–3297. https://doi.org/10.5194/nhess-24-3291-2024

2023

Manoj J, A., Pérez Ciria, T., Chiogna, G., Salzmann, N., Agarwal, A. (2023). Characterising the coincidence of soil moisture–precipitation extremes as a possible precursor to European floods. Journal of Hydrology, 620, 129445. https://doi.org/10.1016/j.jhydrol.2023.129445

Buschmann, S., Hoffmann, P., Agarwal, A., Marwan, N., Nocke, T. (2023). GPU-based, interactive exploration of large spatiotemporal climate networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33, 043129. https://doi.org/10.1063/5.0131933

Guntu, R.K., Merz, B., Agarwal, A. (2023). Increased likelihood of compound dry and hot extremes in India. Atmospheric Research, 290, 106789. https://doi.org/10.1016/j.atmosres.2023.106789

Singh, R.K., Kumar, S., Pasupuleti, S., Villuri, V.G.K., Agarwal, A. (2023). Evaluating evolutionary algorithms for simulating catchment response to river discharge. Journal of Water and Climate Change. https://doi.org/10.2166/wcc.2023.083

Agarwal, A., Kuriqi, A., Matthews, J. (2023). Editorial: Emerging talents in water science. Frontiers in Water, 5, 1275554. https://doi.org/10.3389/frwa.2023.1275554

Beyene, T.K., Agarwal, A., Jain, M.K., Yadav, B.K. (2023). Investigation of the propagation of meteorological to hydrological drought and water required to recover from drought over Ethiopian basins. Journal of Water and Climate Change. https://doi.org/10.2166/wcc.2023.024

Raghuvanshi, A.S., Agarwal, A. (2023). Unraveling atmospheric moisture transport linkages to extreme precipitation events and associated synoptic features over India. Journal of Hydrology, 626, 130290. https://doi.org/10.1016/j.jhydrol.2023.130290

Guntu, R.K., Agarwal, A. (2023). Improving the predictability of compound dry and hot extremes through complexity science. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ad0c0c

Agarwal, A., Sarkar, A., Pandey, A., Kumar, A., Sharma, A. (2023). Editorial of “Water security for sustainable development”. Water Security, 20, 100157. https://doi.org/10.1016/j.wasec.2023.100157

Kulkarni, S., Agarwal, A. (2023). Quantifying the association between Arctic Sea ice extent and Indian precipitation. International Journal of Climatology, 1–15. https://doi.org/10.1002/joc.8337

2022

Setti, S., Yumnam, K., Rathinasamy, M., & Agarwal, A. (2022). Assessment of satellite precipitation products at different time scales over a cyclone-prone coastal river basin in India. Journal of Water and Climate Change, 14(1), 38–65. https://doi.org/10.2166/wcc.2022.166

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

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, 67(5), 661–675. https://doi.org/10.1080/02626667.2022.2036340

Pant, T., Ganapathy, A., & Agarwal, A. (2022). Investigating streamflow variability and hydroclimatic teleconnections: A comparison of regulated and unregulated streamflow stations. Journal of Water and Climate Change, 13(4), 1123–1150. https://doi.org/10.2166/wcc.2022.369

Kumar, S., Guntu, R. K., Agarwal, A., Villuri, V. G. K., Pasupuleti, S., Kaushal, D. R., Gosain, A. K., & Bronstert, A. (2022). Multi-objective optimization for stormwater management by green-roofs and infiltration trenches to reduce urban flooding in central Delhi. Journal of Hydrology, 606, 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: An Interdisciplinary Journal of Nonlinear Science, 32(1), 013113. https://doi.org/10.1063/5.0072520

Agarwal, A., Yuan, N., Cheung, K. K. W., & Shukla, R. (2022). Emerging hydro-climatic patterns, teleconnections, and extreme events in changing world at different timescales. Atmosphere, 13(1), 56. https://doi.org/10.3390/atmos13010056

Dhote, P. R., Bansal, J. K., Garg, V., Thakur, P. K., & Agarwal, A. (2022). Multi-mission altimetry data to evaluate hydrodynamic model-based stage-discharge rating curves in flood-prone Mahanadi River, India. Natural Hazards and Earth System Sciences Discussions, 1–29. https://doi.org/10.5194/nhess-2022-101

Manoj J, A., Guntu, R. K., & Agarwal, A. (2022). Spatiotemporal dependence of soil moisture and precipitation over India. Journal of Hydrology, 610, 127898. 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, 1503–1519. https://doi.org/10.1007/s00477-021-02120-y

Kashyap, A., Behera, M. D., Pandey, A. K., & Agarwal, A. (2022). Spatial distribution of bedrock landslides over the landscape evolution in NW Himalayan River catchments. EGUsphere, 1–41. https://doi.org/10.5194/egusphere-2022-533

Steirou, E., Gerlitz, L., Sun, X., Apel, H., Agarwal, A., Totz, S., & Merz, B. (2022). Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information. Scientific Reports, 12, 13514. https://doi.org/10.1038/s41598-022-16633-1

Jarajapu, D. C., Rathinasamy, M., Agarwal, A., & Bronstert, A. (2022). Design flood estimation using extreme gradient boosting-based on Bayesian optimization. Journal of Hydrology, 613, 128341. https://doi.org/10.1016/j.jhydrol.2022.128341

Ganapathy, A., & Agarwal, A. (2022). Customized sea-surface temperature indicators linking to streamflow at different timescales. International Journal of Climatology, 42(15), 9641–9655. https://doi.org/10.1002/joc.7853

Yumnam, K., Kumar Guntu, R., Rathinasamy, M., & Agarwal, A. (2022). Quantile-based Bayesian Model Averaging approach towards merging of precipitation products. Journal of Hydrology, 604, 127206. https://doi.org/10.1016/j.jhydrol.2021.127206

Kumar, S., Agarwal, A., Ganapathy, A., Villuri, V. G. K., Pasupuleti, S., Kumar, D., Kaushal, D. R., Gosain, A. K., & Sivakumar, B. (2022). Impact of climate change on stormwater drainage in urban areas. Stochastic Environmental Research and Risk Assessment, 36, 77–96. https://doi.org/10.1007/s00477-021-02105-x

2021

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, 13, 735–757. https://doi.org/10.2166/wcc.2021.189

Yeditha, P. K., Rathinasamy, M., Neelamsetty, S. S., Bhattacharya, B., & Agarwal, A. (2021). Investigation of satellite precipitation product-driven rainfall-runoff model using deep learning approaches in two different catchments of India. Journal of Hydroinformatics, 24, 16–37. https://doi.org/10.2166/hydro.2021.067

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

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

Panday, D. P., Khosa, R., Maheswaran, R., Ravikumar, K., & Agarwal, A. (2021). Game theoretic-based modelling of Krishna waters dispute: Equilibrium solutions by hypergame analysis. European Physical Journal B, 94, 131. https://doi.org/10.1140/epjb/s10051-021-00135-6

Raj, S., Shukla, R., Trigo, R. M., Merz, B., Rathinasamy, M., Ramos, A. M., & Agarwal, A. (2021). Ranking and characterization of precipitation extremes for the past 113 years for Indian western Himalayas. International Journal of Climatology, 41, 6602–6615. https://doi.org/10.1002/joc.7215

Gadhawe, M. A., Guntu, R. K., & Agarwal, A. (2021). Network-based exploration of basin precipitation based on satellite and observed data. European Physical Journal Special Topics, 230, 3343–3357. https://doi.org/10.1140/epjs/s11734-021-00017-z

Kalyan, A., Ghose, D. K., Thalagapu, R., Guntu, R. K., Agarwal, A., Kurths, J., & Rathinasamy, M. (2021). Multiscale spatiotemporal analysis of extreme events in the Gomati River Basin, India. Atmosphere, 12. https://doi.org/10.3390/atmos12040480

Agrawal, P., Sinha, A., Kumar, S., Agarwal, A., Banerjee, A., Villuri, V. G., Annavarapu, C. S., Dwivedi, R., Dera, V. V., Sinha, J., & Pasupuleti, S. (2021). Exploring artificial intelligence techniques for groundwater quality assessment. Water, 13. https://doi.org/10.3390/w13091172

Kumar, S., Agarwal, A., Villuri, V. G. K., Pasupuleti, S., Kumar, D., Kaushal, D. R., Gosain, A. K., Bronstert, A., & Sivakumar, B. (2021). Constructed wetland management in urban catchments for mitigating floods. Stochastic Environmental Research and Risk Assessment, 35, 2105–2124. https://doi.org/10.1007/s00477-021-02004-1

2020

Setti, S., Maheswaran, R., Sridhar, V., Barik, K. K., Merz, B., & Agarwal, A. (2020). Inter-comparison of gauge-based gridded data, reanalysis and satellite precipitation product with an emphasis on hydrological modeling. Atmosphere, 11, 1252. https://doi.org/10.3390/atmos11111252

Kasi, V., Yeditha, P. K., Rathinasamy, M., et al. (2020). A novel method to improve vertical accuracy of CARTOSAT DEM using machine learning models. Earth Science Informatics, 13, 1139–1150. https://doi.org/10.1007/s12145-020-00494-1

Guntu, R. K., Maheswaran, R., Agarwal, A., & Singh, V. P. (2020). Accounting for temporal variability for improved precipitation regionalization based on self-organizing map coupled with information theory. Journal of Hydrology, 590, 125236. https://doi.org/10.1016/j.jhydrol.2020.125236

Guntu, R. K., Rathinasamy, M., Agarwal, A., & Sivakumar, B. (2020). Spatiotemporal variability of Indian rainfall using multiscale entropy. Journal of Hydrology, 587, 124916. https://doi.org/10.1016/j.jhydrol.2020.124916

Guntu, R. K., Yeditha, P. K., Rathinasamy, M., et al. (2020). Wavelet entropy-based evaluation of intrinsic predictability of time series. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30, 033117. https://doi.org/10.1063/1.5145005

Yeditha, P. K., Kasi, V., Rathinasamy, M., & Agarwal, A. (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, 063115. https://doi.org/10.1063/5.0008195

Meng, J., Fan, J., Ludescher, J., et al. (2020). Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier. Proceedings of the National Academy of Sciences, 117, 177–183. https://doi.org/10.1073/pnas.1917007117

Agarwal, A., Marwan, N., Maheswaran, R., et al. (2020). Optimal design of hydrometric station networks based on complex network analysis. Hydrology and Earth System Sciences, 24, 2235–2251. https://doi.org/10.5194/hess-24-2235-2020

2019

Shukla, R., Agarwal, A., Gornott, C., Sachdeva, K., & Joshi, P. K. (2019). Farmer typology to understand differentiated climate change adaptation in Himalaya. Scientific Reports, 9, 20375. https://doi.org/10.1038/s41598-019-56931-9

Rathinasamy, M., Agarwal, A., Sivakumar, B., et al. (2019). Wavelet analysis of precipitation extremes over India and teleconnections to climate indices. Stochastic Environmental Research and Risk Assessment, 33, 2053–2069. https://doi.org/10.1007/s00477-019-01738-3

Kurths, J., Agarwal, A., Shukla, R., et al. (2019). Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach. Nonlinear Processes in Geophysics, 26, 251–266. https://doi.org/10.5194/npg-26-251-2019

Ekhtiari, N., Agarwal, A., Marwan, N., & Donner, R. V. (2019). Disentangling the multi-scale effects of sea-surface temperatures on global precipitation: A coupled networks approach. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29, 063116. https://doi.org/10.1063/1.5095565

Agarwal, A., Caesar, L., Marwan, N., et al. (2019). Network-based identification and characterization of teleconnections on different scales. Scientific Reports, 9, 8808. https://doi.org/10.1038/s41598-019-45423-5

Shukla, R., Agarwal, A., Sachdeva, K., et al. (2019). Climate change perception: An analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas. Climatic Change, 152, 103–119. https://doi.org/10.1007/s10584-018-2314-z

2018

Agarwal, A., Marwan, N., Maheswaran, R., Merz, B., & Kurths, J. (2018). Quantifying the roles of single stations within homogeneous regions using complex network analysis. Journal of Hydrology, 563, 802–810. https://doi.org/10.1016/j.jhydrol.2018.06.050

Agarwal, A., Maheswaran, R., Marwan, N., Caesar, L., & Kurths, J. (2018). Wavelet-based multiscale similarity measure for complex networks. European Physical Journal B, 91, 296. https://doi.org/10.1140/epjb/e2018-90460-6

Bronstert, A., Agarwal, A., Boessenkool, B., et al. (2018). Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany. Science of the Total Environment, 630, 977–991. https://doi.org/10.1016/j.scitotenv.2018.02.241

Ozturk, U., Wendi, D., Crisologo, I., et al. (2018). Rare flash floods and debris flows in southern Germany. Science of the Total Environment, 626, 941–952. https://doi.org/10.1016/j.scitotenv.2018.01.172

Ozturk, U., Marwan, N., Korup, O., et al. (2018). Complex networks for tracking extreme rainfall during typhoons. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28, 075301. https://doi.org/10.1063/1.5004480

2017

Agarwal, A., Marwan, N., Rathinasamy, M., Merz, B., & Kurths, J. (2017). Multi-scale event synchronization analysis for unravelling climate processes: A wavelet-based approach. Nonlinear Processes in Geophysics, 24, 599–611. https://doi.org/10.5194/npg-24-599-2017

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. https://arxiv.org/abs/1702.06568

Bronstert, A., Agarwal, A., Boessenkool, B., et al. (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. https://doi.org/10.5675/HyWa_2017,3_1

Vogel, K., Ozturk, U., Riemer, A., et al. (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. https://doi.org/10.5675/HyWa_2017,3_2

2016

Agarwal, A., Maheswaran, R., Sehgal, V., et al. (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., 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, 4399–4413. https://doi.org/10.1007/s11269-016-1428-1

1. Agarwal, A., Azais, P., Cifarelli, L., et al. (2024). Physics for the environment and sustainable development. In: Hidalgo, C. (Ed.), EPS Grand Challenges, IOP Publishing, pp. 6-1–6-132. https://doi.org/10.1088/978-0-7503-6342-6ch6
2. Gupta, H., Raghuvanshi, A.S., Agarwal, A. (2023). Multiday Extreme Precipitation Ranking and Association with Atmospheric Moisture Transport During Indian Summer Monsoon. In: Pandey, M., Gupta, A.K., Oliveto, G. (eds) River, Sediment and Hydrological Extremes: Causes, Impacts and Management. Disaster Resilience and Green Growth. Springer, Singapore. https://doi.org/10.1007/978-981-99-4811-6_16
3. Kumari, A., Raghuvanshi, A.S., Agarwal, A. (2023). Quantifying the Reliability of Reanalysis Precipitation Products Across India. In: Pandey, M., Gupta, A.K., Oliveto, G. (eds) River, Sediment and Hydrological Extremes: Causes, Impacts and Management. Disaster Resilience and Green Growth. Springer, Singapore. https://doi.org/10.1007/978-981-99-4811-6_6
4. Agarwal, A.,  Yuan, N., Kevin, K.W., Cheung and Shukla, R., (Eds.). (2022) Emerging Hydro-Climatic Patterns, Teleconnections and Extreme Events in Changing World at Different Timescales. ISBN 978-3-0365-2952-3 (PDF). https://doi.org/10.3390/books978-3-0365-2952-3
5. Guntu, Ravi Kumar, and Ankit Agarwal. "Investigation of Precipitation Variability and Extremes Using Information Theory." (2020). https://doi.org/10.3390/ecas2020-08115
6. Agarwal, A., Marwan, N., Ozturk, U., Maheswaran, R. (2019) Unfolding Community Structure in Rainfall Network of Germany Using Complex Network-Based Approach . In: Rathinasamy, M., Chandramouli, S., Phanindra, K., Mahesh, U. (eds) Water Resources and Environmental Engineering II. Springer, Singapore. https://doi.org/10.1007/978-981-13-2038-5_17
7. Chaudhary, S., Agarwal, A., Nakamura, T. (2019) Rainfall Projection in Yamuna River Basin, India, Using Statistical Downscaling. In: Rathinasamy, M., Chandramouli, S., Phanindra, K., Mahesh, U. (eds) Water Resources and Environmental Engineering II. Springer, Singapore. https://doi.org/10.1007/978-981-13-2038-5_2

2024

Kulkarni, S*and Agarwal, A.: (2024) The association between Arctic Sea Ice and Indian Precipitation: A Quantitative Analysis. Asia Oceania Geosciences Society (AOGS) from 23-28 June Pyeongchang-gun, Gangwon-do, South Korea.

Agarwal, A. and Guntu, R.: Towards the Predictability of Compound Dry and Hot Extremes through Complexity Science, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7134, https://doi.org/10.5194/egusphere-egu24-7134, 2024.

Bahmanpouri, F., Barbetta, S., Massari, C., De Santis, D., Sharma, A., Agarwal, A., and Sen, S.: Application of Entropy theory to estimate the sediment transport, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11623, https://doi.org/10.5194/egusphere-egu24-11623, 2024.

Gupta, S., Mangukiya, N. K., Sharma, A., Sen, S., Agrawal, A., Santis, D. D., Massari, C., and Barbetta, S.: Uncertainties Analysis of the Hydrological Modelling in Himalayan Region: A Case Study of Alaknanda River Basin, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15204, https://doi.org/10.5194/egusphere-egu24-15204, 2024.

 De Santis, D., Massari, C., Barbetta, S., Bahmanpouri, F., Maggioni, V., Gupta, S., Sharma, A., Agarwal, A., and Sen, S.: Flood modelling of a partly glacierized catchment in the Himalayas in a context of climate change, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19899, https://doi.org/10.5194/egusphere-egu24-19899, 2024

Raghuvanshi A. S.*, Agarwal A., (2024). Dynamic Features of 2023 Himachal Pradesh Floods: Multiscale Insights.  Blocking and Extreme Weather in a Changing Climate Workshop, March 18-20, 2024, Boulder, Colorado. https://usclivar.org/abstract-blocking-2024/dynamic-features-2023-himachal-pradesh-floods

Raghuvanshi, A. S. and Agarwal, A.: Deciphering the connections between extreme precipitation events, atmospheric moisture transport, and associated synoptic features over India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1625, https://doi.org/10.5194/egusphere-egu24-1625, 2024.

Gaspar, T., M. Trigo, R., M. Ramos, A., Singh Raghuvanshi, A., Russo, A., M.M. Soares, P., Ferreira, T., and Agarwal, A.: Multi-day precipitation extremes ranking and their association with atmospheric moisture fluxes over India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3951, https://doi.org/10.5194/egusphere-egu24-3951, 2024.

Raghuvanshi A. S.*, Agarwal A., (2024). A Climatology of Cloudburst-Like Events in India. Roorkee Water Conclave (RWC) March 3-6, 2024, IIT Roorkee, India

Dhote, P.R.*, Agarwal A. and Thakur, P.K., (2024). Remote sensing-based river bathymetry estimation and its hydrodynamic modeling implications. Roorkee Water Conclave (RWC) March 3-6, 2024, IIT Roorkee, India

Kulkarni, S.* and Agarwal, A.:(2024) The association between Arctic Sea Ice Extent and Indian Precipitation: A Quantitative Analysis. Roorkee Water Conclave (RWC) March 3-6, 2024, IIT Roorkee, India

Kulkarni, S* and Agarwal, A.: Deciphering the Multiscale Association between Indian Precipitation-Arctic Teleconnections Using Wavelet Analysis.   European Geophysical Union General Assembly 2024, Vienna, Austria, 14-19 Apr 2024

Badika, P.*, Raghuvanshi, A.S., & Agarwal, A.,  “Climate Change Impact Assessment on Hydrological response for Sustainable Water Management''. International Conference on Future of Water Resources (ICFWR 2024), 01/2024, IIT Roorkee, India

Badika, P.*, Choudhary, M. K., Nayak, T., Jaiswal, R., & Agarwal, A., 2023. Projected water availability in the Tawa River Basin in changing climate. Roorkee Water Conclave (RWC) March 3-6, 2024, IIT Roorkee, India

Badika, P., Raghuvanshi, A. S., and Agarwal, A.: Climate Change Impact Assessment on Hydrological response of Tawa Basin for Sustainable Water Management , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-618, https://doi.org/10.5194/egusphere-egu24-618, 2024.

Ganapathy, A., Merz, B., Vorogushyn, S., and Agarwal, A.: Climate-Informed-Seasonal Mixing Approach to Estimate Flood Quantiles, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1125, https://doi.org/10.5194/egusphere-egu24-1125, 2024.

Sardana, D., and Agarwal, A.:(2024) “CMIP6 Model Evaluation of Arctic Sea Ice Conditions”. Roorkee Water Conclave (RWC) March 3-6, 2024, IIT Roorkee, India.

Sardana, D., and Agarwal, A.: “Investigating CMIP6 Models for Arctic Sea Ice Dynamics and Predictive Links with Monsoon Precipitation”, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14093, https://doi.org/10.5194/egusphere-egu24-14093, 2024.

Sardana, D., Agarwal, A.:"Evaluation And Projection Of Arctic Sea Ice Concentration Under Various Emission Scenarios Using CMIP6 Models", online poster session at the AGU 2024 from 8-13 Dec 2024 held at the Walter E. Washington Convention Center in Washington, DC, USA. 

Saha, S., Sardana, D., Manoj, J. Ashish, Agarwal, A.: “Compounding Heatwaves and Extreme Precipitation in India Using Event Coincidence Analysis between 1951-2020”, presentation at the AGU 2024 from 8-13 Dec 2024 held at the Walter E. Washington Convention Center in Washington, DC, USA.

2023

Abinesh Ganapathy*, Ankit Agarwal. (2023). Multi-scale SST-Streamflow connectivity: A complex network approach. Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives. PIK Potsdam, Germany. (March 15-17 2023). https://nda23.pik-potsdam.de/?a=poster

Akash Singh Raghuvanshi*, Ankit Agarwal. (2023). Linking Anomalous High Moisture Transport to Extreme Precipitation. Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives. PIK Potsdam, Germany. (March 15-17 2023). https://nda23.pik-potsdam.de/?

Abinesh Ganapathy*, David M Hannah, Ankit Agarwal. (2023). Flood frequency analysis integrated with unprecedented flood samples and mixed probability distribution. European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4046. https://doi.org/10.5194/egusphere-egu23-4046 

Kulkarni, S. and Agarwal, A.: Unraveling the association between arctic region and Indian summer monsoon – an empirical study , European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2111, https://doi.org/10.5194/egusphere-egu23-2111

Ravi Kumar Guntu, Bruno Merz and Ankit Agarwal.  Challenges for assessing the risk of compound extremes.European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023. https://doi.org/10.5194/egusphere-egu23-154 

Ankit Agarwal*. Disentangling the characteristics and Drivers of Compound Drought and Hot Extremes. European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8830.

Singh Raghuvanshi, A. and Agarwal, A.: Linking Atmospheric Moisture Transport to Extreme Precipitation Events Associated with Floods over India, European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-336, https://doi.org/10.5194/egusphere-egu23-336, 2023.

Kumari, A., Singh Raghuvanshi, A., and Agarwal, A.: Evaluation of different Precipitation Products with IMD dataset emphasizing on Hydrological Modelling., European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16849, https://doi.org/10.5194/egusphere-egu23-16849

Gupta, H., Singh Raghuvanshi, A., and Agarwal, A.: Moisture transport associated with multi-day precipitation events in India, European Geophysical Union General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-781, https://doi.org/10.5194/egusphere-egu23-781

Guntu, R., Merz, B., Agarwal, A. (2023): Modulators of compound extremes unravelled by Event coincidence analysis-based Complex networks, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). https://doi.org/10.57757/IUGG23-0020

Raghuvanshi, A. S., Agarwal, A. (2023): Linking Anomalous High Moisture Transport to Extreme Precipitation, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). https://doi.org/10.57757/IUGG23-3955

Ganapathy, Abinesh., Hannah, David M. and Agarwal, Ankit:  Hydrograph-based flood classification approach for flood frequency analysis, IUGG General Assembly 2023, Berlin, Germany, 11-20 July 2023, H09p-037, https://doi.org/10.57757/IUGG23-4674

Dhote, P. R., Agarwal, A., Thakur, P. K. (2023): Performance evaluation of spaceborne altimetry and its implications for river water level dynamics assessment, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023). https://doi.org/10.57757/IUGG23-0652

Kassa, T, Jain, M.K., Agarwal, A, and Yadav, B.K. Assessment of hydrological drought vulnerability in Ethiopia. American Geophysical Union  Fall Meeting, 2023, San Francisco.

Badika, P., Raghuvanshi, A. S., Agarwal, A. (2023): Climate change impact assessment on hydrological responses of Tawa Basin for sustainable water management, 4th international sustainability conference on Health, Safety, Fire, and Environmental advances (HSFEA 2023),30-31 October 2023, UPES Dehradun..

Ravi Kumar Guntu presented " A three-fold widespread rise in compound dry and hot extremes during the Indian summer monsoon from 1961 to 2020", at the 13th International Conference of the International Society for Integrated Disaster Risk Management (IDRiM), 28th-30th September 2023, IIT Roorkee.

Ravi Kumar Guntu, Bruno Merz and Ankit Agarwal.  Driving mechanisms and prediction of compound dry and hot extremes during the Indian summer monsoon. 13th International Workshop on Statistical Hydrology (STAHY 2023), Boston, USA, 08–10 Nov 2023.  

2022

Kulkarni, Sujata, Ugur Öztürk, Norbert Marwan, Juergen Kurths, Bruno Merz, and Ankit Agarwal. "COMPLEX NETWORKS IN HYDROLOGIC SCIENCES." In the Fall Meeting 2022. AGU, 2022.

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

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

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

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

Kassa, T, Jain, M.K.*, Agarwal, A, and Yadav, B.K. Spatial Characteristics of Drought Propagation from Meteorological to Hydrological Drought over Ethiopia. Abstract ID: 1104086, Paper No. A46E-12. Presented at American Geophysical Union Fall Meeting, Chicago IL, USA, December 12 – 16, 2022.

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal: Disentangling soil moisture and precipitation coupling over India from a compound flood risk assessment perspective. Risk KAN workshop on Understanding and Modeling Complex Risks in Coupled Human-Environment Systems. 02/2022

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

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

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

Guntu, R.K* and Agarwal, A.; Disentanglement of compound dry and hot extremes over the homogenous regions of India using a complex network-based multivariate standardized index Approach. Roorkee Water Conclave (RWC) 2022, IIT Roorkee, India

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

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

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

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

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal: Investigating Spatiotemporal Patterns of Soil Moisture - Precipitation Dependence over India. in Hydrocomplexity: Addressing Challenges in Hydrology from a Holistic Perspective -  Online Discussion Session. AGU Frontiers in Hydrology Meeting 2022. 22 June 2022. https://doi.org/10.1002/essoar.10511686.1 

Ankit Agarwal*. Multiscale approaches in forecasting extreme floods and their global connections.  IAHS-AISH Scientific Assembly 2022. Montpellier, France on 03rd June 2022.

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

2021

Guntu, R.K* and Agarwal, A.; Disentangling increasing compound extremes at regional scale during Indian Summer Monsoon. American Geophysical Union 2021 Fall Meeting. https://doi.org/10.1002/essoar.10508931.2

Guntu, R.K* and Agarwal, A.; Assessment of compound dry and hot extremes over India using a copula-based multivariate standardized index. American Geophysical Union 2021 Fall Meeting. https://doi.org/10.1002/essoar.10508932.2

Yumnam, K*., Guntu, R.K., Agarwal, A., and Maheswaran, R.; Quantile-based Bayesian Model Averaging approach towards merging of rainfall products. American Geophysical Union 2021 Fall Meeting. https://doi.org/10.1002/essoar.10509240.1

Gadhawe, M*., Guntu, R.K, Banerjee, A., Marwan, N., and Agarwal, A.; A complex network approach to study the extreme precipitation patterns in a river basin. American Geophysical Union 2021 Fall Meeting. https://doi.org/10.1002/essoar.10509273.2

Abinesh Ganapathy*., Ravikumar Guntu., Ugur Ozturk., Bruno Merz., Ankit Agarwal. 2021. Unraveling multiscale relationship between German streamflow and global SST using climate networks. NG52A: Scales, Scaling, Symmetries, and Complexity: From Theory to Big Data, from Urban Systems to Climate and Pandemics I Oral. American Geophysical Union 2021 (17.12.2021). https://doi.org/10.1002/essoar.10508881.1

Shivam Rawat*, Abinesh Ganapathy, Ravi Kumar Guntu, Ankit Agarwal (2021).Drought Characterization using GRACE-based drought index over Indian sub-continent| poster. American Geophysical Union 2021 (13.12.2021) https://doi.org/10.1002/essoar.10509305.1

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal: Understanding Soil Moisture – Precipitation (SM-P) Coupling over India from a Compound Flood Risk Assessment Perspective https://doi.org/10.1002/essoar.10508965.1

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal: Can Soil Moisture Anomalies Trigger Extreme Precipitation Events over India? https://doi.org/10.1002/essoar.10509317.1

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal Characterisation of Compound Soil Moisture - Precipitation Events Over India, WCRP Workshop on Extremes in Climate Prediction Ensembles (ExCPEns), Hosted by  APEC Climate Center (APCC), Institute for Basic Science (IBS) Center for Climate Physics (ICCP), Pusan National University.

Ravi Kumar, Guntu* and Ankit Agarwal: Disentangling increasing compound extremes at regional scale during Indian Summer Monsoon. 2nd International Conference on Natural Hazards and Risks in a Changing World; 10/2021

Ravi Kumar, Guntu* and Ankit Agarwal: Accounting for temporal variability for improved precipitation regionalization based on self-Organizing map coupled with information theory. 2nd International Conference on Natural Hazards and Risks in a Changing World; 10/2021

Abinesh Ganapathy*, Ravi Kumar Guntu, Ugur Ozturk, Bruno Merz, Ankit Agarwal."Multi-timescale SST-Streamflow connectivity: A complex network approach" poster presentation at "WCRP workshop on the attribution of multi-annual to decadal changes in the climate system" held online from September 22-24, 2021. https://wcrp-epesc.sciencesconf.org/data/363896.pdf

Abinesh, Ganapathy*, Ravi Kumar, G., Ugur, O., Bruno, M., Ankit, A., (2021). Multiscale SST streamflow connectivity via wavelet complex network techniques. NatRiskChange 2021. (05- 06 Oct, 2021). 

Ashish Manoj J*, Ravi Kumar Guntu, Ankit Agarwal. “Investigating Compound Soil Moisture – Precipitation Coupling Over India”, oral presentation at World Climate Research Program Workshop on Attribution of Multi-annual to Decadal Changes in the Climate System, 22-24 September 2021 https://wcrp-epesc.sciencesconf.org/data/363768.pdf

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 https://doi.org/10.5194/egusphere-egu21-703

Abinesh, G.*, Ravi Kumar, Guntu, Ugur Ozturk, Bruno Merz, 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. https://doi.org/10.5194/egusphere-egu21-4670

Karisma, Y.*, Ravi Kumar, Guntu, Ankit Agarwal and Maheswaran Rathinasamy: Merging of satellite precipitation products: A quantile based Bayesian model averaging approach. European Geophysical Union; 04/2021. https://doi.org/10.5194/egusphere-egu21-3024  

 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. https://doi.org/10.5194/egusphere-egu21-4840

Ravi Kumar, Guntu*, Ankit Agarwal and Bramha Dutt Vishwakarma: Unravelling teleconnections of terrestrial water storage via complex networks. IAG-ICCC 2021 workshop. 03/2021. https://cloud.hcu-hamburg.de/nextcloud/index.php/s/wNYqwxc3ooWBPLS#pdfviewer

Guntu, R.K.*Agarwal, A. 2021. Space-time framework for precipitation regionalization based on neural networks coupled with information entropy, 6th IAHR Europe Congress, Poland, February 15-18, 2021. In: Kalinowska, M; Rowinski, P; Okruszko, T; Nones, M (Eds.), 6th IAHR Europe Congress Abstract Book, 542-543; ISBN: 978-83-66847-01-9      link to Abstract: https://iahr2020.pl/wp-content/uploads/2021/02/Book-of-Abstracts-15-02-2021.pdf

Guntu, R.K.*, Agarwal, A. 2021. 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, 12 - 15 January 2021 link to paper: https://www.oeschger.unibe.ch/unibe/portal/fak_naturwis/g_dept_kzen/d_c_oeschger/content/e54522/e54528/e118437/e920856/e920874/e920877/CompoundEvents2021_Abstracts_eng.pdf

Dhote, P. R., Bansal, J., Garg, V., Thakur, P.K., Agarwal, A., 2021. Potential of Multi-mission Satellite Altimetry Observations and Hydrodynamic Model to Establish Virtual Gauging Network in Sparsely Gauged Basin. AGU 2021 Fall meeting. Earth and Space Science Open Archive, pages13, https://doi.org/10.1002/essoar.10509744.1

Tarun Pant*, Pavan kumar Yedith, Ankit Agarwal and Maheswaran Rathinasamy 2021. Disentangling spatiotemporal characteristics of six different unregulated streamflow stations in India. European Geophysical Union General Assembly. https://doi.org/10.5194/egusphere-egu21-7362,2021  

Yeditha Pavan Kumar*, Rathinasamy Maheswaran, Biswa Bhattacharya and Ankit Agarwal. Rainfall-runoff modelling for two Indian catchments with satellite rainfall products using Machine learning approaches. American Geophysical Union; 12/2021

Yeditha Pavan Kumar*, Rathinasamy Maheswaran, Bellie Shivakumar and Ankit Agarwal. Wavelet based hybrid models for climatic downscaling of daily precipitation. American Geophysical Union; 12/2021

2020

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

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

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

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 (2020). Standardized Variability Index (SVI): A multiscale index to assess the variability of precipitation. JpGU-AGU Joint Meeting 2020, Chiba, Japan. https://doi.org/10.1002/essoar.10503941.1 

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. 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/

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.

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.

2024

Prof Ankit Agarwal was nominated for a meeting with Environmental Defense Fund (EDF) Chief Economist Suzi Kerr and her colleagues to support sustainable prosperity in India. Discussions covered sustainable livelihoods, responsible business practices, carbon pricing, and climate tech ecosystem catalysis. 

Prof. Ankit Agarwal delivered several lectures on Climate Action Plans, Management and Mitigation during the 04 days workshop titled “Emergency action plans for the dams” organized by the International Center for Excellence in Dam from January 29, 2024  to February 01, 2024.

Prof. Ankit Agarwal delivered several lectures on Climate Action Plans, Management and Mitigation during the 04 days workshop titled “Emergency action plans for the dams” organized by the International Center for Excellence in Dam from January 29, 2024  to February 01, 2024.

Prof. Ankit Agarwal was invited to participate in the State of the Science Roundtable: Climate and Water Resources Modelling in India organized by the Water, Environment, Land and Livelihoods (WELL) Labs in collaboration with Rural Evidence and Learning for Water (REAL-Water), an initiative of USAID on 19th July 2024 in Delhi.

Prof. Ankit Agarwal delivered an invited lecture on Probabilistic Flood Hazard Analysis during the Workshop on Disaster Risk Assessment from July 22 to 26, 2024 organized by the Jaypee University of Information Technology, Waknaghat, Himachal Pradesh.

Prof. Ankit Agarwal was invited to a 1-Day Workshop on 'Monsoon Variability & its Impact on India's Hazardscape,' on August 12th, 2024, at Gulmohar Hall, India Habitat Centre, New Delhi.

Prof. Ankit Agarwal delivered an invited lecture on Data-Driven Approaches of Extreme Hydro-climatic Events during the Workshop on Palaeo-Hydrology: Ancient Disasters, Modern Application (PHADMA) from November 24 to 26, 2024, organized by Vrije Universiteit Amsterdam, Netherlands.

Prof. Ankit Agarwal delivered an invited lecture on Towards Improved Forecasting of Indian Summer Monsoon Considering Arctic Teleconnections Using the Complexity-Based Approach on November 27, 2024, at Vrije Universiteit Amsterdam, Netherlands.

Prof. Ankit Agarwal delivered an invited lecture on Characteristics, Drivers, and Predictability of Compound Dry and Hot Extremes and Arctic Teleconnections to ISM on November 28, 2024, during a session organized by IHE Delft Institute for Water Education, Netherlands.

2023

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.

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. 

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.

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 

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

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.

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.

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.

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

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.

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

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.

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.

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

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.

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.

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.

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

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.

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