Identification

Title

Great Plains Low-Level Jet Occurrence and Upper-Level Coupling in CERA-20C

Alternative title(s)

d197000

Abstract

The Great Plains Low-Level Jet Occurrence and Upper-Level Coupling CERA-20C dataset comprises a 3-hourly record of low-level jet activity and degree of upper-atmospheric jet stream coupling over the contiguous United States from 1901-2010 derived from CERA-20C following the objective dynamically-based methodology of Burrows et al. (2019). This dataset extends the work of Uccellini (1980) who first highlighted variations in the degree of coupling between low-level jets and upper-level flow using a visual weather map approach. The presence of an active low-level jet is first assessed according to the conventional Bonner (1968) low-level jet classification. Then, the local finite-amplitude wave activity index of Huang and Nakamura (2015) is applied to assess whether a detected jet is upper-level coupled (or not). This dataset is remarkable because understanding the degree of low-level (terrain) coupling for a particular low-level jet is instrumental in predicting whether regional land-atmosphere interactions may play a role in its evolution, and moreover, whether land data assimilation holds promise for improved predictability in such cases. The dataset includes the coupled/uncoupled classification, as well as u- and v-winds at 700 and 850 hPa from CERA-20C.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d197000/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d197000/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

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

ECMWFIFS > ECMWF Integrated Forecast System

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-23

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > UPPER LEVEL WINDS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-24

Geographic location

West bounding longitude

-129.375

East bounding longitude

-50.625

North bounding latitude

49.5

South bounding latitude

25.875

Temporal reference

Temporal extent

Begin position

1901-05-01T00:00:00Z

End position

2010-09-30T21:00:00Z

Dataset reference date

date type

publication

effective date

2019-07-26

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

(303)-497-1833

facsimile number

303-497-1291

email address

chifan@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

2024-08-04T02:10:46Z

Metadata language