EGU24-2314, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-2314
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

EcoPro: A Digital Twin for Ecological Projections and Environmental Assessment Using Earth Systems Models and Observations

Seungwon Lee1, Peter Kalmus1, Antonio Ferraz1, Alex Goodman1, Kyle Pearson1, Gary Doran1, Flynn Platt1, Beichen Hu2, Ayesha Katugoda3, Sudip Chakraborty4, Emily Kang3, Jia Zhang2, Sierra Dahiyat5, and Kyle Cavanaugh6
Seungwon Lee et al.
  • 1Jet Propulsion Laboratory, California Institute of Technology
  • 2Southern Methodist University
  • 3University of Cincinnati
  • 4University of Maryland, Baltimore County
  • 5University of California, Berkeley
  • 6University of California, Los Angeles

EcoPro serves as a digital twin designed for ecological projections, aiming to forecast how ecosystems might change in response to environmental factors. It acts as a platform facilitating access to Earth Systems Model (ESM) outputs and Earth Systems observation datasets. EcoPro enables the development of an ecological model linking ecosystem predictors with environmental drivers. It further allows the downscaling of ESM model outputs to a resolution relevant to the specific ecosystem. The platform then applies the ecological model to these downscaled ESM model outputs. The results of the ecological projection are visualized at a high resolution, providing valuable information for application users and decision-makers. Additionally, EcoPro assesses the performance of new observing systems tailored for ecological projection. This discussion outlines the design and implementation of EcoPro, along with the scientific use cases studied using the digital twin.

How to cite: Lee, S., Kalmus, P., Ferraz, A., Goodman, A., Pearson, K., Doran, G., Platt, F., Hu, B., Katugoda, A., Chakraborty, S., Kang, E., Zhang, J., Dahiyat, S., and Cavanaugh, K.: EcoPro: A Digital Twin for Ecological Projections and Environmental Assessment Using Earth Systems Models and Observations, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2314, https://doi.org/10.5194/egusphere-egu24-2314, 2024.