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,
Stefan Buschmann, Peter Hoffmann, Ankit Agarwal, Norbert Marwan, and Thomas Nocke.
interactive exploration of large spatio-temporal climate networks
Guntu, Ravi Kumar, Merz, BRunp, Agarwal Ankit (2023)
Increased likelihood of compound dry and hot extremes in India, Atmospheric Research
Malla, M. K., & Arya,D. S. (2023)
Event-based extreme precipitation variability analysis over a part of the Hindu KushHimalayan region.
Ankit Agarwal*.
Disentangling the characteristics and Drivers of Compound Drought and Hot Extremes. EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023,
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
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
EGU General Assembly 2023
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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.
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,
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,
EGU General Assembly 2023
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Abhishek Kumar and Manoj Kumar Jain:
" Non-contact Entropy based flow Estimation in Himalayan Rivers".as virtual poster in the recently held EGU General Assembly 2023 held in Vienna, Austria
EGU General Assembly 2023
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Bejagam, V., & Sharma, A. (2023).
Characterization of ecohydrological indicators (EHIs) in India: a multi-scale perspective. EGU23.
Mangukiya, N. K., & Sharma, A. (2023).
Evaluating Machine Learning Approach for Regional Flood Frequency Analysis in Data-sparse Regions. EGU23.
Patle, P., Sharma, A., Singh, P. K., Ahmad, I., Matsuno, Y., Leh, M., & Ghosh, S. (2023).
Assessment of Water Consumption Pattern & Agricultural Production using Water accounting Plus (WA+) Framework: A case study of Mahi River basin; EGU23.
Singh, A., Bejagam, V., & Sharma, A. (2023).
Examining the role of groundwater in the spatio-temporal variation of Ecosystem Water Use Efficiency in India. EGU23.
Sahoo, T., Bejagam, V., & Sharma, A. (2023).
Assessment of compound extremes using statistical methods in India. EGU23.
Abinesh Ganapathy*, Ankit Agarwal. (2023).
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Multi-scale SST-Streamflow connectivity: A complex network approach. Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives. PIK Potsdam, Germany. (March 15-17 2023).
Akash Singh Raghuvanshi*, Ankit Agarwal. (2023).
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Linking Anomalous High Moisture Transport to Extreme Precipitation. Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives. PIK Potsdam, Germany. (March 15-17 2023).
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