logo
ResearchBunny Logo
Skillful multiyear predictions of ocean acidification in the California Current System

Earth Sciences

Skillful multiyear predictions of ocean acidification in the California Current System

R. X. Brady, N. S. Lovenduski, et al.

Discover how Riley X. Brady, Nicole S. Lovenduski, Stephen G. Yeager, Matthew C. Long, and Keith Lindsay harness an Earth system model to skillfully forecast ocean acidification in the California Current System. Their innovative approach offers promises of predicting surface pH anomalies a year to five years in advance, illuminating the path towards improved regional forecasting systems.

00:00
00:00
~3 min • Beginner • English
Abstract
The California Current System (CCS) sustains valuable fisheries yet is highly vulnerable to ocean acidification due to upwelling of carbon-enriched waters. Using a novel suite of retrospective, initialized ensemble forecasts with an Earth system model (CESM-DPLE), the study predicts the evolution of surface pH anomalies in the CCS. The forecast system skillfully predicts observed surface pH variations one year in advance over a persistence baseline, with potential skill up to five years. Predictive skill arises mainly from initializing dissolved inorganic carbon (DIC) anomalies that are transported into the CCS. Results demonstrate the potential for Earth system models to provide skillful multiyear predictions of ocean acidification at large scales in the CCS and to supply boundary conditions for higher-resolution regional forecasting systems.
Publisher
Nature Communications
Published On
May 01, 2020
Authors
Riley X. Brady, Nicole S. Lovenduski, Stephen G. Yeager, Matthew C. Long, Keith Lindsay
Tags
California Current System
ocean acidification
pH anomalies
Earth system model
forecasting
dissolved inorganic carbon
climate variability
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny