Identification

Title

CESM2 Initialized 2019/20 Australian Wildfire Simulations

Alternative title(s)

d583142

Abstract

<p> The coupled climate response to biomass burning emissions from the 2019/20 Australian wildfire season is estimated from the contrast between this 30-member ensembles using CESM2 initialized in August 2019. In response to the fires, a widespread increase in biomass aerosol burdens is simulated in the southern hemisphere through late 2019 and early 2020. Accompanying the increase is an enhancement of cloud albedo, particularly in regions of widespread stratocumulus clouds in the southeastern subtropical Pacific Ocean. The increase in albedo acts to cool the surface, dry the boundary layer, and reduce the moist static energy of the advected low-level flow into the deep tropics. It also cools the ocean locally and the currents that flow into the deep tropics. In response, the Intertropical Convergence Zone is found to migrate northward and sea surface temperature in the Nino 3. 4 region cools. A subsequent multi-year ensemble-mean cooling of the tropical Pacific is simulated through the end of 2021, suggesting an important contribution to the ongoing strong La Nina event.</p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d583142/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d583142/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

CLIMATE MODELS > CLIMATE MODELS

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 > ATMOSPHERE > AIR QUALITY > EMISSIONS

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > ALBEDO

EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > TELECONNECTIONS > EL NINO SOUTHERN OSCILLATION (ENSO)

EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > WILDFIRES

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

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

2019-08

End position

2022-07

Dataset reference date

date type

publication

effective date

2023-02-12

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

2025-10-09T01:45:44Z

Metadata language

eng; USA