Embedded Files
Editor's choice and Featured article
Editor's choice and Featured article
NPG highlighted article
Ekhtiari, N., Agarwal, A., Marwan, N., and Donner, R.V. (2019) Disentangling the multi-scale effects of sea-surface temperatures on global precipitation - A coupled networks approach. Chaos, 29, 250012. https://doi.org/10.1063/1.5095565;
NPG paper of the month
Kurths, J., Agarwal, A., Shukla, R., Marwan, N., Maheswaran, R., Caesar, L., Krishnan, R., and Merz, B. (2019) Unraveling the spatial diversity of Indian precipitation teleconnections via nonlinear multi-scale approach. Nonlinear process in Geophysics discussion. Nonlinear Processes in Geophysics , 26, 251-266, https://doi.org/10.5194/npg-26-251-2019
Editor’s Pick article
Buschmann, S., Hoffmann, P., Agarwal, A., Marwan, N., and Nocke, T. (2023) GPU-based, interactive exploration of large spatio-temporal climate networks, Chaos 33, 043129 https://doi.org/10.1063/5.0131933.
Edited Books
Edited Books
Agarwal, A., Yadav, B., Nema, M., Sharma, M., Kumar, A. (Eds.), 2024. Towards Water Circular Economy: Proceedings of the Responsible Water Management and Circular Economy (RWC) 2024, Springer Proceedings in Earth and Environmental Sciences. Springer Nature Switzerland, Cham. https://doi.org/10.1007/978-3-031-60436-2
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
Journal Articles
Journal Articles
2025
Kreibich, H., Sivapalan, M., AghaKouchak, A., Addor, N., Aksoy, H., Arheimer, B., … Blöschl, G. (2025). Panta Rhei: a decade of progress in research on change in hydrology and society. Hydrological Sciences Journal, 1–27. https://doi.org/10.1080/02626667.2025.2469762
Sardana D., Kulkarni S., Agarwal A. (2025) Evaluation and projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models. Climate Dynamics . DOI: 10.1007/s00382-025-07646-3.
Gaspar, T. H., Trigo, R. M., Ramos, A. M., Raghuvanshi, A. S., Russo, A., Soares, P. M. M., ... & Agarwal, A. (2025). Quantifying Multi‐Day Precipitation Extremes and Their Linkages With Atmospheric Moisture Flux Over India. International Journal of Climatology, e8751.
Raghuvanshi, A.S., Trigo, R.M., Agarwal, A., 2025. Climatology of extreme precipitation spells induced by cloudburst-like events during the Indian Summer Monsoon. J Hydrol X 26, 100197. https://doi.org/10.1016/j.hydroa.2024.100197
Bahmanpouri F, Yadav A, Massari C, De Santis D, Sharma A, Agarwal A, Sen S, Fraccarollo L, Moramarco T, Barbetta S. Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements. Water. 2024; 16(24):3684. https://doi.org/10.3390/w16243684
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 complex network perspective. J. Hydrol. 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 Infrastruct. Ecosyst. Soc. jws2024146. https://doi.org/10.2166/aqua.2024.146
Chaudhary, A., Guntu, R. K., Sharma, S., & Agarwal, A. (2025). Changing spatiotemporal dependence of the precipitation-temperature during 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
Kulkarni, S., & Agarwal, A. (2025). Arctic sea ice variability and its multiscale association with Indian summer monsoon rainfall at different time scales. Journal of Hydrology, 132729. https://doi.org/10.1016/j.jhydrol.2025.132729
2024
Krause, S., Lynch, I., Agarwal, A. et al. Seven strategies to leverage water for peace and foster sustainable and just water management for all. Nat Water (2024). 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. Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales. Sci Rep 14, 12512 (2024). 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. J. Hydrol. 629, 130633. https://doi.org/10.1016/j.jhydrol.2024.130633
Agarwal, A., Azais, P., Cifarelli, L., De Boer, J., Eroglu, D., Gebel, G., Hidalgo, C., Jamet, D., Kurths, J., Lefebvre-Joud, F., Linderoth, S., Loarte, A., Marwan, N., Mingo, N., Ozturk, U., Perraud, S., Pitz-Paal, R., Poedts, S., Priem, T., Rech, B., Ripani, M., Sharma, S., Tran, T.Q., Wagner, H.-J., 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
Dhote, P.R., Agarwal, A., Singhal, G., Calmant, S., Thakur, P.K., Oubanas, H., Paris, A., Singh, R.P., 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 J. Sel. Top. Appl. Earth Observations 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./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., Sharma, A., Fray da Silva, R., Agarwal, A., Razzolini, M. T., Mendiondo, E. M., Goel, N. K., Kurian, M., and Nardocci, A. C.: Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies, Proc. IAHS, 386, 41–46, https://doi.org/10.5194/piahs-386-41-2024, 2024
Arhemier et al., The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN a Global world (HELPING). Hydrological Sciences Journal (2024). 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, jwc2024486. https://doi.org/10.2166/wcc.2024.486
Arheimer, B., Cudennec, C., Castellarin, A., Grimaldi, S., Heal, K. V., Lupton, C., … Xia, J. (2024). The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING). Hydrological Sciences Journal, 69(11), 1417–1435. https://doi.org/10.1080/02626667.2024.2355202
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. J. Hydrol. Eng. 29, 04024045. https://doi.org/10.1061/JHYEFF.HEENG-6257
Schwanghart, W., Agarwal, A., Cook, K., Ozturk, U., Shukla, R., and Fuchs, S.: Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region, Nat. Hazards Earth Syst. Sci., 24, 3291–3297, https://doi.org/10.5194/nhess-24-3291-2024, 2024
2023
Singh Raghuvanshi, A., & 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., Merz, B., and 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
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.
Buschmann, S., Hoffmann, P., Agarwal, A., Marwan, N., and Nocke, T. (2023) GPU-based, interactive exploration of large spatio-temporal climate networks. Chaos 33, 043129 https://doi.org/10.1063/5.0131933
Ravindra Kumar Singh, Satish Kumar, Srinivas Pasupuleti, Vasanta Govind Kumar Villuri, Ankit Agarwal; Evaluating evolutionary algorithms for simulating catchment response to river discharge. Journal of Water and Climate Change 2023; jwc2023083. https://doi.org/10.2166/wcc.2023.083
Agarwal A, Kuriqi A and Matthews J (2023) Editorial: Emerging talents in water science. Front. Water 5:1275554. doi: 10.3389/frwa.2023.1275554
Tegegn Kassa Beyene, Ankit Agarwal, Manoj Kumar Jain, Brijesh K. Yadav; 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 2023; jwc2023024. doi: https://doi.org/10.2166/wcc.2023.024
Agarwal, A., Sarkar, A., Pandey, A., Kumar, A., & Sharma, A. (2023). Editorial of “Water security for sustainable development”. Water Security, 20, 100157.10.1016/j.wasec.2023.100157
Guntu, R. K., and Agarwal, A.: Improving the predictability of compound dry and hot extremes through complexity science. Environ. Res. Lett. https://doi.org/10.1088/1748-9326/ad0c0c, 2023.
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
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
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
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
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
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
Agarwal, A, Guntu, R, K, Banerjee, Abhirup., Mayuri., G Marwan, Norbert., 2022. A complex network approach to study the extreme precipitation patterns in a river basin. Chaos 32, 013113. https://doi.org/10.1063/5.0072520
Agarwal, A.; Yuan, N.; Cheung, K.K.W.; Shukla, R. Emerging Hydro-Climatic Patterns, Teleconnections, and Extreme Events in Changing World at Different Timescales. Atmosphere 2022, 13, 56. https://doi.org/10.3390/atmos13010056
Dhote, P. R., Bansal, J. K., Garg, V., Thakur, P. K., and Agarwal, A.: Multi-mission altimetry data to evaluate hydrodynamic model-based stage-discharge rating curves in flood-prone Mahanadi River, India, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-101, in review, 2022.
Ashish Manoj J, Ravi Kumar Guntu., and Ankit Agarwal., 2022. Spatiotemporal Dependence of Soil Moisture and Precipitation over India. Journal of Hydrology https://doi.org/10.1016/j.jhydrol.2022.127898
Beyene, T. K., Jain, M. K., Yadav, B. K., & Agarwal, A. (2022). Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies. Stochastic Environmental Research and Risk Assessment, 36(5), 1503–1519. https://doi.org/10.1007/s00477-021-02120-y
Kashyap, A., Behera, M. D., Pandey, A. K., and Agarwal, A.: Spatial distribution of bedrock landslides over the landscape evolution in NW Himalayan River catchments, EGUsphere, https://doi.org/10.5194/egusphere-2022-533, 2022
Steirou, E., Gerlitz, L., Sun, X., Apel, H., Agarwal, A., Totz, S & Merz, M.: Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information. Sci Rep 12, 13514 (2022). https://doi.org/10.1038/s41598-022-16633-1
Deva Charan Jarajapu, MaheswaranRathinasamy, AnkitAgarwal, Axel Bronstert (2022) Design Flood Estimation using Extreme Gradient Boosting-based on Bayesian Optimization, Journal of Hydrology, 128341. https://doi.org/10.1016/j.jhydrol.2022.128341
Steirou, E., Gerlitz, L., Sun, X. et al. “Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information.” Sci Rep 12, 13514 (2022). https://doi.org/10.1038/s41598-022-16633-1
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
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
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
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
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
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
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
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
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
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
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
Mayuri Ashokrao Gadhawe, Ravi Kumar Guntu, Ankit Agarwal* (2021). Network-based exploration of basin precipitation based on satellite and observed data. European Physics Journal-Special Topics. https://doi.org/10.1140/epjs/s11734-021-00017-z
Kalyan, AVS; Ghose, Dillip Kumar; Thalagapu, Rahul; Guntu, Ravi Kumar; Agarwal, Ankit; Kurths, Jürgen; Rathinasamy, Maheswaran. 2021. "Multiscale Spatiotemporal Analysis of Extreme Events in the Gomati River Basin, India" Atmosphere 12, no. 4: 480. https://doi.org/10.3390/atmos12040480
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
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
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
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
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
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
Ravi Kumar Guntu, Maheswaran Rathinasamy, Ankit Agarwal, and Bellie Sivakumar (2020). Spatiotemporal Variability of Indian rainfall using multi-scale entropy. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.124916
Ravi Kumar Guntu, Pavan Kumar Yeditha, Maheswaran Rathinasamy, Matjaž Perc, Norbert Marwan, Jürgen Kurths, and Ankit Agarwal (2020). Wavelet entropy-based evaluation of intrinsic predictability of time series. Chaos 30, 033117 (2020); https://aip.scitation.org/doi/10.1063/1.5145005
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
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
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
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
Roopam Shukla, Ankit Agarwal, Christoph Gronott, Kamna Sachdeva and PK Joshi (2019). Farmer typology to understand differentiated climate change adaptation in the Himalayas. Scientific Reports. https://www.nature.com/articles/s41598-019-56931-9
Rathinasamy, M., Agarwal, A., Sivakumar, B., Marwan, N., and Kurths, J. (2019): "Wavelet analysis of precipitation extremes over India and teleconnections to climate indices. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-019-01738-3
Kurths, J.*, Agarwal, A*., Shukla, R., Marwan, N., Maheswaran, R., Caesar, L., Krishnan, R., and Merz, B. (2019): Unraveling the spatial diversity of Indian precipitation teleconnections via nonlinear multi-scale approach. Nonlinear process in Geophysics. (* equally share the first authorship). https://www.nonlin-processes-geophys.net/26/251/2019/ (This article has been selected as the NPG paper of the month and released as a featured article in EGU blogpost.)
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.)
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
Agarwal, A., Marwan, N., Maheswaran, R., Merz, B. and Kurths, J. (2018): Quantifying the roles of single stations within homogeneous regions using complex network analysis, Journal of Hydrology, doi:10.1016/j.jhydrol.2018.06.050, 2018
Agarwal, A., 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.
Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Fischer, M., Heistermann, M., Köhn-Reich, L., López-Tarazón, J. A., Moran, T., Ozturk, U., Reinhardt-Imjela, C. and Wendi, D.: Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Sci. Total Environ., 630, 977–991, doi: 10.1016/j.scitotenv.2018.02.241, 2018
Ozturk, U., Wendi, D., Crisologo, I., Riemer, A., Agarwal, A., Vogel, K., López-Tarazón, J. A. and Korup, O.: Rare flash floods and debris flows in southern Germany, Sci. Total Environ., 626, 941–952, doi:10.1016/j.scitotenv.2018.01.172, 2018
2017
Agarwal, A., Marwan, N., Rathinasamy, M., Merz, B. and Kurths, J. (2017): Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach. Nonlinear Process. Geophys., 24(4), 599–611, doi:10.5194/npg-24-599-2017, 2017.
Ozturk, U., Marwan, N., Korup, O., Saito, H., Agarwal, A., Grossman, M. J., Zaiki, M., and Kurths, J. (2017): Complex networks for tracking extreme rainfall during typhoons, Chaos. https://aip.scitation.org/doi/pdf/10.1063/1.5004480
Shukla, R., Agarwal, A., Sachdeva, K., Kurths, J., and Joshi, P.K (2017)s: Climate change perception: Analysis of climate change and risk perception among farmer types of Indian Western Himalayas. Climatic Change. https://link.springer.com/article/10.1007/s10584-018-2314-z
Rathinasamy, M., Agarwal, A., Parmar, V., Khosa, R., & Bairwa, A. (2017). Partial wavelet coherence analysis for understanding the standalone relationship between Indian Precipitation and Teleconnection patterns. arXiv preprint arXiv:1702.06568.
Bronstert, A., Agarwal, A., Boessenkool, B., Fischer, M., Heistermann, M., Köhn-Reich, L., Moran T., Wendi, D. (2017): The flood of Braunsbach on May 29, 2016 - the origin, course and damage of a "centuries event". Part 1: Meteorological and hydrological analysis- hydrology & water management, 61, (3), 150-162; DOI: 10.5675 / HyWa_2017,3_1
Vogel, K., Ozturk, U., Riemer, A., Laudan, J., Sieg, T., Wendi, D., Agarwal, A., Rozer, V., Korup, O., Thieken, A (2017): The flood of Braunsbach on May 29, 2016 - the origin, course and damage of a "centuries event". Part 2: Geomorphological processes and damage analysis - Hydrology & Water Management, 61, (3), 163-175; DOI: 10.5675 / HyWa_2017,3_2
2016
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
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
Books, Chapter in Books, Expository and Review Articles
Books, Chapter in Books, Expository and Review Articles
2023
2023
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
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
2022
2022
2022
Agarwal, A, Yuan, N., Kevin K.W. Cheung andShukla, R.,(Eds.). 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
2020
2020
Guntu, Ravi Kumar, and Ankit Agarwal. "Investigation of Precipitation Variability and Extremes Using Information Theory." (2020). https://doi.org/10.3390/ecas2020-08115
2019
2019
Agarwal, A., Marwan, N., Ozturk, U., and Rathinasamy, M.: Unfolding Community Structure in Rainfall Network of Germany Using Complex Network-Based Approach. Water Resources and Environmental Engineering II; 10.1007/978-981-13-2038-5_17
Chaudhary, S., Agarwal, A., and Nakamura, T.: Rainfall Projection in Yamuna River Basin, India, Using Statistical Downscaling. Water Resources and Environmental Engineering II; 10.1007/978-981-13-2038-5_2
Conference Presentations/Abstract
Conference Presentations/Abstract
2024
2024
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). Dynamic Features of 2023 Himachal Pradesh Floods: Multiscale Insights. Blocking and Extreme Weather in a Changing Climate Workshop, March 18-20, 2024, Boulder, Colorado, USA. https://usclivar.org/abstract-blocking-2024/dynamic-features-2023-himachal-pradesh-floods.
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.
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., 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.
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
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.: (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.
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
2023
2023
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
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
Guntu, R.K, Merz, B., Agarwal, A: Modulators of compound extremes unravelled by Event coincidence analysis-based Complex networks, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG), 07/2023, Berlin, Germany. https://doi.org/10.57757/IUGG23-0020
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. EGU 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 artic region and Indian summer monsoon – an empirical study , EGU 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.EGU 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. EGU 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, EGU 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., EGU 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, EGU 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
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
2022
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. AGU Fall Meeting, 12/2022, Chicago.
Kassa, T, Jain, M.K.*, Agarwal, A, and Yadav, B.K. Spatial Characteristics of Drought Propagation from Meteorological to Hydrological Drought over Ethiopia. Abstract ID: 1104086, Paper No. A46E-12. Presented at AGU Fall Meeting, Chicago IL, USA, 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, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5512, https://doi.org/10.5194/egusphere-egu22-5512, 2022.
Dhote, P. R.*, Moothedan, A. J., Thakur, P. K., and Agarwal, A.: Flood risk assessment framework for Himalayan river basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-595, https://doi.org/10.5194/egusphere-egu22-595, 2022.
Moothedan, A. J.*, Dhote, P. R., Thakur, P. K., and Agarwal, A.: Projection of future pluvial flood events over Himalayan river basin under CMIP6 climate data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-438, https://doi.org/10.5194/egusphere-egu22-438, 2022.
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, EGU 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, EGU 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, EGU 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, EGU 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, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8654, https://doi.org/10.5194/egusphere-egu22-8654, 2022.
2021
2021
Guntu, R.K* and Agarwal, A.; Disentangling increasing compound extremes at regional scale during Indian Summer Monsoon. AGU 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. AGU 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. AGU 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. AGU 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. AGU 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.AGU 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. EGUGeneral 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. A merican Geophysical Union; 12/2021
Yeditha Pavan Kumar*, Rathinasamy Maheswaran, Bellie Shivakumar and Ankit Agarwal. Wavelet based hybrid models for climatic downscaling of daily precipitation. A merican Geophysical Union; 12/2021
2020
2020
Guntu, R.K.*, Agarwal, A. 2020. Spatial extent of concurrent extremes over India and its teleconnection to climate indices. AGU 2020 Fall Meeting. https://doi.org/10.1002/essoar.10505419.1
Yumnam, K.*, Guntu, R.K., Kumar, A., 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
Scientific Blogs
Scientific Blogs
Ankit Agarwal. Quantifying the Roles of Single Rain Gauges within Homogeneous Regions of a Rainfall Network. Scientific Trends 2018. https://sciencetrends.com/quantifying-the-roles-of-single-rain-gauges-within-homogeneous-regions-of-a-rainfall-network/
Roopam Shukla and Ankit Agarwal. Do Perceptions of Climate Change and its Impacts Differ Among Farmers in Indian Western Himalayas? Scientific Trends 2019.https://sciencetrends.com/do-perceptions-of-climate-change-and-its-impacts-differ-among-farmers-in-indian-western-himalayas/
Forecasting El Niño with entropy—a year in advance, https://arstechnica.com/science/2019/12/forecasting-el-nino-with-entropy-a-year-in-advance/
Thesis and Technical Reports
Thesis and Technical Reports
Agarwal, A., B. Boessenkool, M. Fischer, I. Hahn, L. Köhn, J. Lauden, 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. https://gfzpublic.gfz-potsdam.de/pubman/faces/ViewItemFullPage.jsp?itemId=item_1659896_3
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
Forecasting of extreme flood events using different satellite precipitation products and wavelet-based machine learning methods.
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