Identification

Title

CESM2 SMYLE MCB

Alternative title(s)

d651084

Abstract

Seasonal-to-MultiYear Large Ensemble-Marine Cloud Brightening (SMYLE MCB) is an ensemble of MCB perturbed initialized prediction experiments using CESM2. SMYLE MCB consists of fully coupled simulations preceding three historical ENSO events: (1) 2020-2021 La Nina to approximate the forcing and responses from the 2019-2020 Australian wildfires presented in Fasullo et al. (2023) (20 members) and the (2) 2015-2016 (10 members) and (3) 1997-1998 El Nino events (10 members) to test MCB's efficacy in weakening some of the most extreme El Nino events of the 21st century. Simulations are initialized on the first of November for (1) and May for (2-3) and run forward for two-years on a 1-degree horizontal resolution. MCB is represented by nudging the cloud droplet number concentration within the target region for each experiment. These simulations are set up following the CESM2 SMYLE experiments (Yeager et al., 2022), which are the reference simulations to SMYLE MCB to compute the climate responses of MCB. For a complete list of variables, see the Documentation Tab.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d651084/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d651084/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

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

CESM > NCAR Community Earth System Model

originating controlled vocabulary

title

reference date

date type

revision

effective date

2026-06-24

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > SEA LEVEL PRESSURE

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > UPPER AIR TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > SPECIFIC HUMIDITY

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > U/V WIND COMPONENTS

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > WIND DYNAMICS > VERTICAL WIND VELOCITY/SPEED

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION > RAIN

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION PROFILES > LATENT HEAT FLUX

originating controlled vocabulary

title

reference date

date type

revision

effective date

2026-06-24

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1997

End position

2021

Dataset reference date

date type

publication

effective date

2026-06-15

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

2026-07-02T20:35:53Z

Metadata language