Identification

Title

Shipboard Automated Meteorological and Oceanographic System (SAMOS) Air-Sea Fluxes

Alternative title(s)

d260004

Abstract

Along ship track bulk turbulent heat and momentum fluxes derived using one-minute interval data collected by the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative. The fluxes are provided as three products derived using three widely accepted air-sea flux algorithms (Smith 1988, COARE 3.6, and a 2023 update of Bourassa 2006). Datasets are organized by ship and flux algorithm. The dataset uses SAMOS data from 47 research vessels with observations spanning 2005-2024. Data include heat and momentum fluxes, state variables adjusted to 10 meters, and multiple inputs and outputs from the flux algorithms. These data have wide use for satellite product and model evaluation; air-sea interaction, marine biology, chemistry and geoscience research activities; climate science, and marine geoinformatics. Data coverage is the global oceans, but is concentrated around North America. Fluxes are derived from along cruise track navigational, meteorological, and oceanographic observations from 47 research vessels. Fluxes are derived at one-minute intervals (the same as the source observations) and take advantage of extensive quality control flags on the source SAMOS data. Additional QC flags are applied to the derived fluxes, height adjusted state variables, and other outputs of the flux algorithms. All data are provided in CF and ACDD compliant netCDF files, with extensive metadata. The data volume is 180 GB.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d260004/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d260004/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

oceans

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

Ships

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-05-29

Keyword set

keyword value

EARTH SCIENCE > OCEANS > OCEAN HEAT BUDGET > HEAT FLUX

EARTH SCIENCE > OCEANS > OCEAN WINDS > WIND STRESS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-05-22

Geographic location

West bounding longitude

-179.9999

East bounding longitude

179.89

North bounding latitude

88.4577

South bounding latitude

-77.8331

Temporal reference

Temporal extent

Begin position

2005-05-09

End position

2015-06-12

Dataset reference date

date type

publication

effective date

2015-10-08

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

720-937-8442

facsimile number

303-497-1291

email address

zji@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

name: NCAR Research Data Archive

description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

function: downlaod

responsible party role

pointOfContact

Metadata date

2025-06-05T20:05:02Z

Metadata language