Content area

Abstract

Anthropogenic climate change is driving long-term ocean warming, acidification, and deoxygenation with ramifications for marine organisms and ecosystems. Alongside long-term changes, there is growing interest in the effects of short-term variability which can lead to extreme events that rapidly alter marine conditions, including marine heatwaves (MHW) and ocean acidification extremes (OAX). Relatively limited biogeochemical observations make these short-term changes hard to study, leading to the use of Earth System Models (ESMs) which provide valuable insights into biogeochemical changes and predictability. Here we focus on three research questions: (1) How do MHW affect regional biogeochemistry? (2) Can ESMs forecast surface and subsurface marine stressors? and (3) Can ESMs forecast marine extreme events (MHW, OAX)? We first focus on the regional biogeochemical impacts of the Blob, a notable MHW in the Northeast Pacific, using a combination of in-situ observations, observation-based products, and ESM reconstructions. We then use model output to estimate the dynamical drivers of biogeochemical changes associated with these MHWs. Next, we assess the ability of the Community Earth System Model (CESM) Seasonal-to-Multiyear Large Ensemble (SMYLE) to predict anomalies of surface and subsurface marine ecosystem stressors in Large Marine Ecosystems. Finally, we assess the ability of CESM SMYLE to skillfully forecast global MHW and OAX over the historical period and determine drivers of skill. We then utilize a CESM SMYLE forecast generated in late 2023 to assess the evolution of marine extremes in 2024. This work helps contextualize the impacts and predictability of marine ecosystem stressors and extremes in a changing climate.

Details

1010268
Title
Dynamics and Predictability of Marine Ecosystem Stressors
Author
Number of pages
125
Publication year
2025
Degree date
2025
School code
0051
Source
DAI-B 86/11(E), Dissertation Abstracts International
ISBN
9798315730842
Committee member
Dee, Laura; Subramanian, Aneesh; Giglio, Donata; Yeager, Stephen
University/institution
University of Colorado at Boulder
Department
Atmospheric and Oceanic Sciences
University location
United States -- Colorado
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
31935992
ProQuest document ID
3206377720
Document URL
https://www.proquest.com/dissertations-theses/dynamics-predictability-marine-ecosystem/docview/3206377720/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic