Global Ocean Biomes: Mean and time-varying maps (NetCDF 7.8 MB)

Large-scale studies of ocean biogeochemistry and carbon cycling have often partitioned the ocean into regions along lines of latitude and longitude despite the fact that spatially more complex boundaries would be closer to the true biogeography of the ocean. Herein, we define 17 open-ocean biomes classified from four observational data sets: sea surface temperature (SST), spring/summer chlorophyll a concentrations (Chl a), ice fraction, and maximum mixed layer depth (maxMLD) on a 1° × 1° grid. By considering interannual variability for each input, we create dynamic ocean biome boundaries that shift annually between 1998 and 2010. Additionally we create a core biome map, which includes only the grid cells that do not change biome assignment across the 13 years of the time-varying biomes. These biomes can be used in future studies to distinguish large-scale ocean regions based on biogeochemical function.

Supplement to: Fay, Amanda R; McKinley, Galen A (2014): Global open-ocean biomes: mean and temporal variability. Earth System Science Data, 6(2), 273-284

Identifier
DOI https://doi.org/10.1594/PANGAEA.828650
PID https://hdl.handle.net/10013/epic.42948.d003
Related Identifier https://doi.org/10.5194/essd-6-273-2014
Related Identifier https://hdl.handle.net/10013/epic.42948.d004
Related Identifier https://hdl.handle.net/10013/epic.42948.d005
Related Identifier https://hdl.handle.net/10013/epic.42948.d020
Related Identifier https://hdl.handle.net/10013/epic.42948.d018
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.828650
Provenance
Creator Fay, Amanda R ORCID logo; McKinley, Galen A ORCID logo
Publisher PANGAEA
Publication Year 2014
Rights Creative Commons Attribution 3.0 Unported; https://creativecommons.org/licenses/by/3.0/
OpenAccess true
Representation
Resource Type Supplementary Dataset; Dataset
Format application/x-netcdf
Size 7.4 MBytes
Discipline Earth System Research