New Paper in Environmental Modeling & Software
Our new paper (with Klaus Keller) has been published in Environmental Modeling & Software.
Using a perfect model experiment, we demonstrate how small increases in agent-based model complexity can result in large differences in the data required to calibrate the model, as well as identifying the correct (in this case, the data-generating) model structure. This result emphasizes the importance of treating model structural uncertainty as a deep uncertainty, rather than committing to a particular parameterization. It also demonstrates the importance of leveraging multiple independent sources of information to construct sound and informative prior distributions.
The paper is open-access, and there is a preprint available as well.
News & Updates
-
06 Dec 2024
Join Us At AGU 2024!
Srikrishnan Group Posters & Presentations
-
05 Feb 2024
New Paper on Impacts of Renewable Variability on Power Systems
Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid
-
14 Jul 2023
Congrats to Chloe Darnell for Her Successful M-Exam!
Thesis on drivers of future sea-level rise
-
18 May 2023
New Nature Sustainability Paper on Air Quality Implications of Climate Mitigation
Effects of global climate mitigation on regional air quality and health
Join Us At AGU 2024!
Srikrishnan Group Posters & Presentations
New Paper on Impacts of Renewable Variability on Power Systems
Quantifying the impact of multi-scale climate variability on electricity prices in a renewable-dominated power grid
Congrats to Chloe Darnell for Her Successful M-Exam!
Thesis on drivers of future sea-level rise
New Nature Sustainability Paper on Air Quality Implications of Climate Mitigation
Effects of global climate mitigation on regional air quality and health