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Published on: June 13, 2020
Forecasting Ocean Chlorophyll in the Equatorial Pacific
Cecile S Rousseaux1,2, Watson W Gregg1
1Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States.
This study forecasts chlorophyll concentrations in the Equatorial Pacific, successfully predicting El Niño onset. While forecast accuracy decreases with longer lead times, it shows potential for ocean resource management.
Area of Science:
- Oceanography
- Biogeochemistry
- Climate Science
Background:
- Accurate forecasting of ocean chlorophyll is crucial for understanding marine ecosystems and predicting the impacts of climate events like El Niño.
- The Equatorial Pacific is a key region for global ocean productivity and climate regulation.
Purpose of the Study:
- To assess the skill of a global ocean biogeochemical model in forecasting chlorophyll concentrations in the Equatorial Pacific.
- To evaluate the model's ability to predict the onset of the 2015 El Niño event and its impact on chlorophyll levels.
- To identify uncertainties and areas for improvement in the biogeochemical forecasting system.
Main Methods:
- Utilized a global ocean biogeochemical model coupled with physical oceanic and atmospheric forecasts from NASA.
- Conducted retrospective 9-month hindcasts for chlorophyll concentration from 2012-2015.
- Compared monthly forecasted chlorophyll data with satellite observations from Suomi-National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (S-NPP VIIRS).
Main Results:
- The forecast successfully reproduced the phasing of chlorophyll variability, including the onset of the 2015-2016 El Niño.
- Significant anomaly correlation coefficients (ACC) were found for 1, 8, and 9-month lead times (R=0.33-0.42, p<0.05).
- Root mean square error (RMSE) increased with lead time, indicating reduced accuracy in predicting chlorophyll amplitude, with 3-month lead forecasts being closest to observations.
Conclusions:
- The study demonstrates the potential of the biogeochemical forecasting system for predicting chlorophyll concentrations in the Equatorial Pacific.
- Forecast accuracy, particularly for amplitude, diminishes with longer lead times, highlighting areas for system improvement.
- The system provides a foundation for future applications, such as assessing El Niño's effects on fisheries and ocean resources.
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