Vivek Srikrishnan

Assistant Professor

Cornell University

United States

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Vivek Srikrishnan is an Assistant Professor at Cornell University in the United States. His research areas encompass energy system vulnerabilities, climate variability, riverine flood risks, and the effects of climate change on forest management and air quality. He has contributed to the field through various articles addressing complex adaptive human-Earth systems and the uncertainties in environmental risks and projections.

Articles (15)

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UNITED STATES

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Erica Smithwick

Distinguished Professor

Pennsylvania State University

UNITED STATES

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Melissa Lucash

Research Assistant Professor

University of Oregon

UNITED STATES

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C Anderson

Professor and Chair

Cornell University

UNITED STATES

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Vivek Srikrishnan

Research Interests

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Articles (15)

Energy system vulnerabilities in a zero-emission grid: The role of climate variability and technology uncertainty

What drives uncertainty surrounding riverine flood risks?

Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid

Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes

Effects of global climate mitigation on regional air quality and health

Balancing multiple forest management objectives under climate change in central Wisconsin, U.S.A.

Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems

Probabilistic projections of baseline twenty-first century CO2 emissions using a simple calibrated integrated assessment model

MimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework

Multisector Dynamics: Advancing the Science of Complex Adaptive Human‐Earth Systems

Climate Risk Management

Equity is more important for the social cost of methane than climate uncertainty

Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions

Small increases in agent-based model complexity can result in large increases in required calibration data

Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks

Collaborators (10)

Yawen Guan

Sanjib Sharma

Robert Scheller

Anthony Wong

Wei Peng

Jonathan Lamontagne

Julianne Quinn

Erica Smithwick

Melissa Lucash

C Anderson

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