Monthly Arctic Ocean Chlorophyll Fluorescence Estimates from TROPOMI

Arctic Ocean solar-induced chlorophyll fluorescence (SIF) data provides monthly estimates at a 0.05-degree resolution from January 2004 to December 2020. The dataset was created by ORNL_CLOUD using a random forest model to extend TROPOMI satellite instrument records from 2018-2021 back to 2004. It is designed to monitor phytoplankton physiological responses to climate change and is distributed in cloud-optimized GeoTIFF format.

Use Cases

• Analyzing spatial and temporal trends in phytoplankton photosynthetic activity using the 0.05-degree resolution SIF estimates.
• Modeling the physiological response of plankton to environmental changes by correlating SIF values with other climate datasets.
• Extending the satellite record for long-term climate studies by leveraging the machine-learning extended time series from 2004 to 2020.
• Monitoring primary production in the Arctic aquatic ecosystem using the fluorescence-based proxy for photosynthesis.

Strengths

• Provides a 17-year continuous monthly time series (2004-2020) for long-term trend analysis.
• Uses a machine learning model (random forest) trained on TROPOMI climatology to create a consistent, extended record.
• Offers high spatial resolution (0.05-degree) geospatial data for detailed regional study.

Limitations

• Key metadata conflicts exist: the last updated date is listed as both 2020-12-31 and 2026-03 12 across sources.
• Core technical details like row count, file size, and specific column names are not provided by any source.

Provenance

Source

ORNL_CLOUD

Collection Method

Red SIF data from the TROPOMI instrument (2018-2021) extended via a random forest machine learning model.

Time Range

2004-01-01 to 2020-12-31

Freshness

2026-03-12 23:34:47.194147

Geography

Arctic Ocean