Metadata

Field Value

Title

Sensitivity of Northern Hemisphere Cyclone Detection and Tracking Results to Fine Spatial and Temporal Resolution Using ERA5

Abstract

Publication general type

journal article

Project Name

['4d4cbb98-ee92-4bb0-8765-31c68b4e96e0']

Keyword Vocabulary

Keyword Vocabulary URL

Theme

Version

1.0

Publisher

Monthly Weather Review

Date Published

2021

DOI

10.1175/MWR-D-20-0417.1

Authors

Authors 1

Author Name

Crawford, Alex D

Type of Name

Personal

Email

alex.crawford@umanitoba.ca

Affiliation

Clayton H. Riddell Faculty of Environment, Earth, and Resources - University of Manitoba

ORCID ID

0000-0003-1561-290X

ORCID

http://orcid.org/

Authors 2

Author Name

Schreiber, Erika A P

Type of Name

Personal

Email

Affiliation

ORCID ID

Authors 3

Author Name

Sommer, Nathan

Type of Name

Personal

Email

Affiliation

ORCID ID

Authors 4

Author Name

Serreze, Mark C

Type of Name

Personal

Email

Affiliation

ORCID ID

Authors 5

Author Name

Stroeve, Julienne C

Type of Name

Personal

Email

Affiliation

ORCID ID

Authors 6

Author Name

Barber, David G

Type of Name

Personal

Email

Affiliation

ORCID ID

License Name

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Licence Type

CC-BY-NC-SA-4.0

Licence Schema Name

SPDX

Licence URL

https://spdx.org/licenses

Awards

Awards 1

Funded by

Website

Funder Name

Funder Identifier Code

Funder Identifier Type

Funder Identifier Scheme

Grant Number

Related Resources

Related Resources 1

Related Resource Name

Identifier Code

Identifier Type

Relationship to this publication

Online Resource

Type

Series Name

Language

Data and Resources

Field Value

URL

https://canwin-datahub.ad.umanitoba.ca/data/dataset/857e2c2f-d62c-4615-ad6c-4da37adae909/resource/4f410a9e-be90-4144-9693-f0e495378ec1/download/1520-0493-mwr-d-20-0417.1.pdf

Name

Sensitivity of Northern Hemisphere Cyclone Detection and Tracking Results to Fine Spatial and Temporal Resolution Using ERA5

Description

Format

PDF

Resource Category

data