Shraddha Gupta is currently a postdoctoral researcher at the Research unit for Physical Geography and Earth System Interactions, Department of Geography, Ludwig-Maximilians-University (LMU) Munich. She is a guest researcher at the Potsdam Institute for Climate Impact Research (PIK).
Shraddha obtained her doctoral degree in Physics from the Faculty of Mathematics and Natural Sciences, Humboldt University at Berlin. During her PhD, she worked as an Early-Stage Researcher at PIK as part of the “Climate Advanced Forecasting of sub-seasonal Extremes (CAFE)” project funded by the European Union’s Horizon 2020 Marie Sklodowska-Curie Innovative Training Networks (H2020 MSCA ITN). In this project, she studied climate variability patterns at different scales based on complex network approach. In particular, she used the approach to detect individual tropical cyclone tracks, to characterize the stages of binary cyclone interaction which leads to a complete merging event, and to study the intraseasonal and interannual variability of the Asian Summer Monsoon. She further demonstrated the potential of complex networks as a promising diagnostic tool to study forecast error properties and provide a preliminary understanding of the dominant source of error, which is crucial for improvement of forecasts. Shraddha has a Master’s degree in Physics from the Indian Institute of Technology Madras, Chennai, India.
Contact
14412 Potsdam
ORCID
Postdoctoral Researcher,
Ludwig-Maximilians-University (LMU) Munich,
Department of Geography,
Luisenstraße 37, 80333 Munich, Germany
Phone: +49 (0) 89 / 2180 – 6722
Email: shraddha.gupta@lmu.de
Webpage: www.geographie.uni-muenchen.de
Physical Geography and Earth System Interactions, Climate Modelling, Climate dynamics and processes, Nonlinear Dynamics, Synchronization, Complex Networks. Application of complex-network and synchronization based approaches to the study of dynamic interactions between crucial regions of climate variability of the Earth using multivariate observational and model forecast data, and development of new tools to improve the predictability of extreme climatic events.
- , Abhirup , Norbert , David , Linus , Jürgen Analysis of spatially coherent forecast error structures. Quarterly Journal of the Royal Meteorological Society, 1–14 (2023), DOI: 10.1002/qj.4536.
- Shraddha Gupta,Study of Climate Variability Patterns at Different Scales – A Complex Network Approach, Doctoral Thesis, Humboldt-Universität zu Berlin, DOI: 10.18452/26439.
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Somnath De, Shraddha Gupta, Vishnu R Unni, Rewanth Ravindran, Praveen Kasthuri, Norbert Marwan, Jürgen Kurths and R. I. Sujith, Study of Interaction and Complete Merging of Binary Cyclones Using Complex Networks, Chaos 33, 013129 (2023), DOI: 10.1063/5.0101714. Paper selected as Featured and Scilight.
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Shraddha Gupta, Zhen Su, Niklas Boers, Jürgen Kurths, Norbert Marwan and Florian Pappenberger, Interconnection between the Indian and the East Asian Summer Monsoon: spatial synchronization patterns of extreme rainfall events, International Journal of Climatology (2022), 1-16, DOI: 10.1002/joc.7861.
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Shraddha Gupta, Nikolaos Mastrantonas, Cristina Masoller and Jürgen Kurths, Perspectives on the importance of complex systems in understanding our climate and climate change—The Nobel Prize in Physics 2021, Chaos 32, 052102 (2022), DOI: 10.1063/5.0090222. Paper selected as Featured and Scilight.
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Shraddha Gupta, Niklas Boers, Florian Pappenberger and Jürgen Kurths, Complex Network Approach for Detecting Tropical Cyclones, Clim Dyn 57, 3355–3364 (2021), DOI: 10.1007/s00382-021-05871-0.
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Shraddha Gupta, Sadhitro De, MS Janaki, and AN Sekar Iyengar, Using wavelet analysis to investigate synchronization, Physical Review E 100 (2019), DOI: 10.1103/PhysRevE.100.022218.
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Sadhitro De, Shraddha Gupta, MS Janaki, and AN Sekar Iyengar, Frequency and wavelet based analyses of partial and complete measure synchronization in a system of three nonlinearly coupled oscillators, Chaos 28, 113108 (2018), DOI: 10.1063/1.5049800.
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Shraddha Gupta, Sadhitro De, MS Janaki, and AN Sekar Iyengar, Exploring the route to measure synchronization in non-linearly coupled Hamiltonian systems, Chaos 27, 113103 (2017), DOI: 10.1063/1.4996814. Paper selected as Featured and Scilight.
