Vivek Srikrishnan
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View article: Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect
Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect Open
Coastal cities face increasing flood hazards due to climate change. Physical infrastructures, such as levees, are commonly used to reduce flood hazards. To effectively manage flood risks, it is important to understand the degree to which p…
View article: The interplay of future emissions and geophysical uncertainties for future sea level rise
The interplay of future emissions and geophysical uncertainties for future sea level rise Open
Uncertainty in future carbon dioxide (CO2) emissions and the geophysical response to emissions drives variability in future sea-level rise (SLR). However, the relative contributions of emissions and geophysical dynamics (e.g. Antarctic Ice…
View article: The interplay of future emissions and geophysical uncertainties for future sea level rise
The interplay of future emissions and geophysical uncertainties for future sea level rise Open
Uncertainty in future carbon dioxide (CO2) emissions and the geophysical response to emissions drives variability in future sea-level rise (SLR). However, the relative contributions of emissions and geophysical dynamics (e.g. Antarctic Ice…
View article: Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect
Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect Open
Coastal cities face increasing flood hazards due to climate change. Physical infrastructure, such as levees, are commonly used to reduce flood hazards. To effectively manage flood risks, it is important to understand the degree to which ph…
View article: Identification of pressure points in modern power systems using transfer entropy
Identification of pressure points in modern power systems using transfer entropy Open
Integration of variable energy resources -- e.g., solar, wind, and hydro -- and end-use electrification increase modern energy systems' weather-dependence. Identifying critical infrastructure constraining the power grid's ability to meet e…
View article: Explaining drivers of housing prices with nonlinear hedonic regressions
Explaining drivers of housing prices with nonlinear hedonic regressions Open
Housing markets play a critical role in shaping the spatial and demographic evolution of urban areas. Simulating housing price dynamics can enhance projections of future urban development outcomes. However, traditional hedonic regressions …
View article: Technology indicators enable early detection of decarbonization failures
Technology indicators enable early detection of decarbonization failures Open
Assessing decarbonization progress traditionally relies solely on tracking carbon emissions. Focusing on carbon emissions alone struggles to capture the complex uncertainties that may result in failing to identify early warning signals of …
View article: Coastal adaptation and damage costs at different global warming thresholds
Coastal adaptation and damage costs at different global warming thresholds Open
Climate change is worsening coastal hazards, elevating the need to mitigate and adapt to future warming and sea-level change. A key question is how future warming relates to coastal impacts in terms of adaptation costs and economic damages…
View article: Coastal Adaptation and Damage Costs at Different Global Warming Thresholds
Coastal Adaptation and Damage Costs at Different Global Warming Thresholds Open
Climate change exacerbates natural hazards and their drivers, including global warming, sea-level rise, and increased coastal flooding. These hazards necessitate strategies to manage coastal flood risk through mitigation of future warming …
View article: Model Calibration with Markov Chain Monte Carlo Tutorial
Model Calibration with Markov Chain Monte Carlo Tutorial Open
The purpose of this tutorial is to demonstrate how to use Markov chain Monte Carlo (MCMC) to calibrate a model. By calibration, we mean the selection of model parameters (and, when relevant, structures). A common goal in model development …
View article: Unrefined national building inventories can mislead risk assessments and decisions
Unrefined national building inventories can mislead risk assessments and decisions Open
View article: Integrating Values to Improve the Relevance of Climate‐Risk Research
Integrating Values to Improve the Relevance of Climate‐Risk Research Open
Climate risks are growing. Research is increasingly important to inform the design of risk‐management strategies. Assessing such strategies necessarily brings values into research. But the values assumed within research (often only implici…
View article: Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect
Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect Open
Coastal cities face increasing flood hazards due to climate change. Physical infrastructure, such as levees, are commonly used to reduce flood hazards. To effectively manage flood risks, it is important to understand the degree to which ph…
View article: Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics Open
We present a data-driven machine-learning approach for modeling space-time socioeconomic dynamics. Through coarse-graining fine-scale observations, our modeling framework simplifies these complex systems to a set of tractable mechanistic r…
View article: Global mean sea-level projections from MimiBRICK forced by uncertain emissions trajectories
Global mean sea-level projections from MimiBRICK forced by uncertain emissions trajectories Open
Model output for Darnell et al (2025), . Output contains csv files for components of GMSLR from 1850--2300, as well as parameter values for the simulations. There are two files: emissions_parameters.zip, which contains the parameter values…
View article: UNSAFE: An UNcertain Structure And Fragility Ensemble framework for property-level flood risk estimation
UNSAFE: An UNcertain Structure And Fragility Ensemble framework for property-level flood risk estimation Open
A software package for adding parametric uncertainty to the national structure inventory and estimating flood losses with uncertain depth-damage relationships: https://github.com/abpoll/unsafe.
View article: What drives uncertainty surrounding riverine flood risks?
What drives uncertainty surrounding riverine flood risks? Open
View article: Coastal Adaptation Costs at Different Global Warming Thresholds
Coastal Adaptation Costs at Different Global Warming Thresholds Open
Climate change exacerbates natural hazards and their drivers, including global warming, sea-level rise, and increased coastal flooding. These hazards necessitate strategies to manage coastal flood risk through mitigation of future warming …
View article: MultiSector Dynamics: 2023 Inaugural Workshop Report
MultiSector Dynamics: 2023 Inaugural Workshop Report Open
Preface The MultiSector Dynamics (MSD) Community of Practice (CoP) hosted an inaugural workshop on October 3-5, 2023 at the University of California, Davis, to bring together members of the MSD community of practice to advance understandin…
View article: GMSLR simulation outputs for Darnell et al (in prep).
GMSLR simulation outputs for Darnell et al (in prep). Open
Model output for Darnell et al (in prep). Output contains csv files for components of GMSLR from 1850--2300, as well as parameter values for the simulations. There are two folders when unzipped: default and peaking. Default is the main ens…
View article: The interplay of future emissions and geophysical uncertainties for future sea level rise
The interplay of future emissions and geophysical uncertainties for future sea level rise Open
Uncertainty in future carbon dioxide (CO2) emissions and the geophysical response to emissions drives variability in future sea-level rise (SLR). However, the relative contributions of emissions and geophysical dynamics (e.g. Antarctic Ice…
View article: Investing in open and FAIR practices for more usable and equitable climate-risk research
Investing in open and FAIR practices for more usable and equitable climate-risk research Open
Research that is salient, credible, legitimate, and timely can support climate-risk management goals around the world. Materials that are open and Findable, Accessible, Interoperable, Reusable (FAIR) help facilitate credibility and legitim…
View article: Balancing multiple forest management objectives under climate change in central Wisconsin, U.S.A.
Balancing multiple forest management objectives under climate change in central Wisconsin, U.S.A. Open
Forest managers must balance multiple objectives and consider tradeoffs when developing a management plan. Complex interactions between successional dynamics and natural disturbances make it challenging, especially when decisions play out …
View article: Quantifying the multi-scale and multi-resource impacts of large-scale adoption of renewable energy sources
Quantifying the multi-scale and multi-resource impacts of large-scale adoption of renewable energy sources Open
The variability and intermittency of renewable energy sources pose several challenges for power systems operations, including energy curtailment and price volatility. In power systems with considerable renewable sources, co-variability in …
View article: Heterogeneous Vulnerability of Zero-Carbon Power Grids under Climate-Technological Changes
Heterogeneous Vulnerability of Zero-Carbon Power Grids under Climate-Technological Changes Open
The transition to decarbonized energy systems has become a priority globally to mitigate carbon emissions and, therefore, climate change. However, the vulnerabilities of zero-carbon power grids under climatic and technological changes have…
View article: Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes
Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes Open
View article: Dataset for Huang et al. Effects of global climate mitigation on regional air quality and health. Nature Sustainability (2023).
Dataset for Huang et al. Effects of global climate mitigation on regional air quality and health. Nature Sustainability (2023). Open
This dataset includes data that were used in: Huang et al. Effects of global climate mitigation on regional air quality and health. Nature Sustainability (2023). For any questions regarding this dataset, please contact Dr. Wei Pen…
View article: Emulation methods and adaptive sampling increase the efficiency of sensitivity analysis for computationally expensive models
Emulation methods and adaptive sampling increase the efficiency of sensitivity analysis for computationally expensive models Open
Models with high-dimensional parameter spaces are common in many applications. Global sensitivity analyses can provide insights on how uncertain inputs and interactions influence the outputs. Many sensitivity analysis methods face nontrivi…
View article: Using Interpretable Machine Learning to Identify Key Patterns Underlying Home Price Dynamics
Using Interpretable Machine Learning to Identify Key Patterns Underlying Home Price Dynamics Open
View article: Emulation Methods and Adaptive Sampling Increase the Efficiency of Sensitivity Analysis for Computationally Expensive Models
Emulation Methods and Adaptive Sampling Increase the Efficiency of Sensitivity Analysis for Computationally Expensive Models Open