Identification

Title

Scatterometer Climatology of Ocean Winds (SCOW), by Risien et al.

Alternative title(s)

d232002

Abstract

<p> This dataset consists of twelve variables for global seasonal cycles of the wind and wind stress fields estimated from the 10-year record (September 1999 - October 2009) of wind measurements by the NASA QuikSCAT scatterometer. Seasonal cycles for these variables were estimated using harmonic analysis where each multi-year time series of monthly means was fitted to a nine-parameter regression model consisting of a constant plus four harmonics. </p> <p> Only monthly global maps (January - December), constructed from the annual and semiannual harmonics, for the twelve SCOW wind variables are archived here, while the regression coefficients from which the monthly values were computed, as well as example scripts, can be downloaded from <a href="http://numbat.coas.oregonstate.edu/scow/example_code.html"> SCOW web site</a>. For researchers interested in more than just the annual and semiannual harmonics, these regression coefficients include the higher-order 3 and 4 cycles per year harmonics. The regression coefficients allow easy calculation of the seasonal cycle at each grid location at an arbitrary time interval. </p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d232002/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d232002/dataaccess/

protocol: https

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

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

Resource Type

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

QUIKSCAT > QUIKSCAT

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2025-10-03

Keyword set

keyword value

EARTH SCIENCE > OCEANS > OCEAN WINDS > VORTICITY

EARTH SCIENCE > OCEANS > OCEAN WINDS > WIND STRESS

EARTH SCIENCE > OCEANS > OCEAN WINDS > CONVERGENCE/DIVERGENCE

EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2025-10-03

Geographic location

West bounding longitude

-180.0

East bounding longitude

180.0

North bounding latitude

69.875

South bounding latitude

-69.875

Temporal reference

Temporal extent

Begin position

1999-09-01T0000+00

End position

2009-10-31T0000+00

Dataset reference date

date type

publication

effective date

2008-06-20

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

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NSF NCAR Geoscience Data Exchange

email address

datahelp@ucar.edu

web address

https://gdex.ucar.edu

name: NSF NCAR Geoscience Data Exchange

description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.

function: download

responsible party role

pointOfContact

Metadata date

2025-10-09T01:21:45Z

Metadata language

eng; USA