Identification

Title

Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3

Abstract

These data are the results of high resolution simulations with the Community Earth System Model, version 1.3 (CESM1.3). These simulations form the basis of a publication analyzing machine learning based-detection of weather fronts and associated extreme precipitation.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/dataset/id/fba396ee-502a-4ec5-b3e3-b4b4b7015d47.html

protocol: https

applicationProfile: browser

name: Machine learning-based detection of weather fronts and associated extreme precipitation in CESM1.3

description: Metadata 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

Keywords

Keyword set

keyword value

Dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT

EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > EXTREME WEATHER > EXTREME PRECIPITATION

EARTH SCIENCE SERVICES > MODELS > COUPLED CLIMATE MODELS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2018-03-15

Keyword set

keyword value

Other > Models > Cesm > Ncar Community Earth System Model

originating controlled vocabulary

title

reference date

date type

revision

effective date

2018-03-15

Geographic location

West bounding longitude

-180.0

East bounding longitude

180.0

North bounding latitude

90.0

South bounding latitude

-90.0

Temporal reference

Temporal extent

Begin position

2000-01-01

End position

2005-12-31

Dataset reference date

date type

publication

effective date

2022-04-06

date type

modified

effective date

2022-04-05

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

Hierarchical Data Format File (application/x-hdf)

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 - Climate and Global Dynamics Laboratory

email address

kdagon@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

UCAR/NCAR - GDEX

email address

gdex@ucar.edu

responsible party role

pointOfContact

Metadata date

2022-07-21T11:46:17-06:00

Metadata language