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Arctic Ocean Chlorophyll a based on AOReg.emp algorithm (R2018)

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Abstract/Contents

Abstract
Arctic Ocean Chlorophyll a from SeaWiFS and MODIS/Aqua satellite data (R2018) using regional AOReg.emp algorithm. Each netCDF files contains 46 images comprising 8-day composites for a specific year. See the README file for more information.

Description

Type of resource Dataset, cartographic
Date created 2022
Date modified March 17, 2022; March 26, 2022; March 26, 2022; March 28, 2022; March 28, 2022; December 5, 2022; February 28, 2024; February 28, 2024
Publication date March 17, 2022

Creators/Contributors

Author Lewis, Kate ORCiD icon https://orcid.org/0000-0003-2909-2570 (unverified)
Author Van Dijken, Gert ORCiD icon https://orcid.org/0000-0002-9587-6317 (unverified)
Author Arrigo, Kevin ORCiD icon https://orcid.org/0000-0002-7364-876X (unverified)

Subjects

Subject Arctic Ocean
Subject Earth System Science
Subject School of Earth Energy and Environmental Science
Genre Data
Genre Geospatial data
Genre Data sets
Genre Dataset
Genre Cartographic dataset

Bibliographic information

Related item
Preferred citation
Lewis, K. M., & Arrigo, K. R. (2020). Ocean color algorithms for estimating chlorophyll a, CDOM absorption, and particle backscattering in the Arctic Ocean. Journal of Geophysical Research: Oceans, 125, e2019JC015706. https://doi.org/10.1029/2019JC015706
Preferred citation
Lewis, K. M., G. L. van Dijken, K. R. Arrigo (2020). Changes in phytoplankton concentration, not sea ice, now drive increased Arctic Ocean primary production. Science. doi:10.1126/science.aay8380.
DOI https://doi.org/10.25740/kc822vj3040
Location https://purl.stanford.edu/kc822vj3040

Access conditions

Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 4.0 International license (CC BY-NC-SA).

Preferred citation

Lewis, K. M., van Dijken, G. L., and Arrigo, K. R. (2022). Arctic Ocean Chlorophyll a based on AOReg.emp algorithm (R2018). Stanford Digital Repository. https://doi.org/10.25740/kc822vj3040

Collection

Stanford Ocean Biogeochemistry Lab Research Data Repository

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Contact information

gertvd@stanford.edu

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