Akash Singh Raghuvanshi

Akash Singh Raghuvanshi

(Prime Minister's Research Fellow)

Ph.D. Candidate

HydroClimX Lab, Department of Hydrology, Indian Institute of Technology Roorkee

Research Interest: Atmospheric Moisture Transport, Extreme Events, Wavelets, Complex Networks, Non-linear Dynamics, Causal Effect Networks, Climate Dynamics, Synoptic, Dynamic and Physical Meteorology, Dynamical System theory, Climate Modeling, Hydrological Modelling, Stochastic Hydrology, Big Data Analysis

Highlights

Moisture Source Attribution of Synchronized Extreme Precipitation Communities During the Indian Summer Monsoon Synchronized extreme precipitation communities over India are dynamically distinct and governed by different moisture source controls Oceanic and terrestrial moisture contributions to synchronize...

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Network Divergence Reveals Predictable Pathways of Extreme Rainfall in Central India Network divergence identifies east coast precursors to Central India extreme rainfall Two physically interpretable precursor conditions predict over 60% of extreme rainfall events within 3 days ...

Evaluating the Performance of Uni‐ and Multivariate Bias Correction Techniques: Challenges in Preserving Temporal and Dependence Structures The multivariate technique R2D2 best preserved intervariable relationship between precipitation and temperature None of the bias correction techniques fully preserved the temporal relationship be...

IIT-R develops climate dataset to capture local extremes missed by global models | Dehradun News - The Times of IndiaIIT Roorkee launches INDRA-CMIP6 high-resolution climate dataset to capture local Himalayan extremes, improving India rainfall and temperature projections to 2100.

An Hourly Dataset of Moisture Budget Components Over the Indian Subcontinent (1940–2024) - Scientific Data

Complex network reveals propagation and moisture dynamics of Indian monsoon precipitation extremes - Climate DynamicsExtreme precipitation events (EPEs) during the Indian Summer Monsoon have significant societal impacts, yet their spatiotemporal organization and underlying drivers remain poorly understood. This study applies a complex network framework, using nonlinear synchronization metrics, to analyze the structure, propagation, and drivers of EPEs across India. The results reveal distinct spatial communities experiencing synchronized or sequential extremes, influenced by synoptic systems such as low-pressure systems, mid-tropospheric cyclones, monsoon intraseasonal oscillations, and western disturbances, as well as by orographic features. Directed network analysis highlights key source–sink dynamics, with the east coast and Bay of Bengal acting as major moisture source regions, and central and western India serving as primary sink zones where widespread EPEs occur. High betweenness centrality indicates important moisture pathways linking these regions. Composite synoptic diagnostics show region-specific circulation regimes, including break-phase anticyclonic anomalies and LPS–trough interactions. Moisture budget analysis identifies vertically integrated moisture convergence as the dominant driver of widespread extremes, while evaporation contributes minimally. These findings underscore the critical role of atmospheric connectivity, synoptic forcing, and dynamic moisture transport in shaping monsoon precipitation extremes, offering valuable insights for improved forecasting, risk assessment, and climate adaptation strategies.

Spatial diversity of atmospheric moisture transport and climate teleconnections over Indian subcontinent at different timescales - Scientific Reports

Climatology of extreme precipitation spells induced by cloudburst-like events during the Indian Summer MonsoonThis study enhances existing understanding of extreme precipitation spells induced by cloudburst-like (EPS-CBL) events in India, emphasizing climatolo…

Unraveling atmospheric moisture transport linkages to extreme precipitation events and associated synoptic features over India

Multiscale dynamics of transient merging between western disturbances and monsoonal lows: Connections to the July 2023 flood in Himachal Pradesh

Allianz Climate Risk Award on LinkedIn: We are very happy to announce the top 12 participants of this year's… | 12 commentsWe are very happy to announce the top 12 participants of this year's Allianz Climate Risk Award! Thank you Tri Atmaja, Toyin Samuel OLOWOGBON, Ph.D., Stefan… | 12 comments on LinkedIn

2023-Allianz-Climate-Risk-Award_Online.pdf

Tech Alchemy

Education & Experience

Doctor of Philosophy (Ph.D.), Hydrology

(Thesis Submitted; CGPA: 9.55/10)

Indian Institute of Technology, Roorkee, Uttarakhand, India

Advisor: Prof. Ankit Agarwal

Thesis Title: Atmospheric Moisture Transport Linkages to Extreme Precipitation During the Indian Summer Monsoon: Mechanisms, Attribution and Prediction

Aug 2022 - Present

Researcher, Department of Civil Engineering

Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh

Jan 2021 - July 2022

Consultant Trainee

VASTUSHILPI Projects & Consultants Pvt. Ltd., Bhopal, Madhya Pradesh

Sept 2017 - Dec 2020

Master of Technology (M. Tech.), Water Resource Engineering

(CGPA: 8.88/10)

National Institute of Technology, Calicut, Kerala, India

Advisor: Prof. Santosh G. Thampi

Research Title: Impact of Climate Change on Catchment Hydrology and Sediment Yield

2015 - 2017

Bachelor of Engineering (B.E), Civil Engineering

(CGPA: 8.08/10)

Samrat Ashok Technological Institute, Vidisha, Madhya Pradesh, India

2011 - 2015

Contact

HydroClimX Lab, Department of Hydrology, Indian Institute of Technology, Roorkee, 247667, Uttarakhand, India

akash_sr@hy.iitr.ac.in

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