Member Since 2018
Chandramauli Awasthi
PostDoc Fellow, North Carolina State University Raleigh
AGU Research
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Hydroclimatic Scenario Generation Using Two-Stage Stochastic Simulation Framework
ADVANCES IN HYDROMETEOROLOGICAL ANALYSIS AND MODELING: INTEGRATING INFORMATICS, SPATIOTEMPORAL MODELING, AND UNCERTAINTY INTO HYDROLOGIC HAZARD ASSESSMENT II POSTER
hydrology | 11 december 2024
Chandramauli Awasthi, Dol Raj Chalise, Hui Wang, S...
Climate change poses significant challenges for decision-making processes across a range of sectors. From the water resources planning and management ...
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Advancing Global Flood Damage Modeling Using Explainable Machine Learning Frameworks
FUSION AND APPLICATION OF AI/ML WITH REMOTE SENSING, SOCIAL SENSING, AND/OR PHYSICAL PROCESS MODELING TO STUDY HAZARD I ELIGHTNING
natural hazards | 11 december 2024
Nasser Najibi, Jeongwoo Hwang, Dingbao Wang, Kichu...
There is an increasing need to comprehensively understand the vulnerability and exposure to past and future floods across the world. However, global d...
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A Comprehensive Mixed Flood Frequency Analysis: Where, When, and How?
ADVANCING FLOOD CHARACTERIZATION, MODELING, AND COMMUNICATION III ORAL
hydrology | 09 december 2024
Chandramauli Awasthi, Stacey A. Archfield
Flood frequency analysis is critical for managing flood risk, designing hydraulic structures, and developing floodplain management strategies. Accurat...
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Regionalization of Climate Elasticity Preserves Dooge's Complementary Relationship
WATER RESOURCES RESEARCH
09 october 2024
Chandramauli Awasthi, Richard M. Vogel, Sankar Aru...
Climate elasticity of streamflow represents a nondimensional measure of the sensitivity of streamflow to climatic factors. Estimation of such elast...
Beyond Simple Trend Tests: Detecting Significant Changes in Design‐Flood Quantiles
GEOPHYSICAL RESEARCH LETTERS
06 july 2023
Chandramauli Awasthi, Stacey A. Archfield, Brian J...
Changes in annual maximum flood (AMF), which are usually detected using simple trend tests (e.g., Mann‐Kendall test (MKT)), are expected to c...
Can We Rely on Trend Test for Identifying Non-stationarity in Floods?
ADVANCING THE ESTIMATION OF HYDROMETEOROLOGIC EXTREMES FOR FLOOD PREPAREDNESS IN A CHANGING CLIMATE III POSTER
hydrology | 15 december 2022
Chandramauli Awasthi, Brian J. Reich, Sankar Arumu...
Global-scale climate change and watershed-scale anthropogenic disturbances are expected to change stationary design flood estimates over time. We prop...
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Projecting Flood Frequency Curves Under Near‐Term Climate Change
WATER RESOURCES RESEARCH
17 august 2022
Chandramauli Awasthi, Stacey A. Archfield, Karen R...
Flood‐frequency curves, critical for water infrastructure design, are typically developed based on a stationary climate assumption. However, ...
Quantifying the Sampling Uncertainty in Non-stationary Design Flood Estimation Approaches
ADVANCES IN MODELING HYDROMETEOROLOGICAL EXTREMES AND ADAPTATION FOR A RESILIENT SOCIETY I ORAL
hydrology | 16 december 2021
Chandramauli Awasthi, Brian J. Reich, Sankar Arumu...
Due to the growing evidence of trend in observed flood records, the assumption of stationarity in designing flood control structures have come under s...
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