CESM2 Initialized 2019/20 Australian Wildfire Simulations
d583142
<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>
dataset
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
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
CLIMATE MODELS > CLIMATE MODELS
revision
2025-10-03
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
revision
2025-10-03
2019-08
2022-07
publication
2023-02-12
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
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
pointOfContact
2025-10-09T01:45:44Z