Identification

Title

Pseudo-Global Warming Convection-Permitting Simulations using the Model for Prediction Across Scales (MPAS-A) for use in the Caribbean, Mexico, and Central America Regions

Alternative title(s)

d797484

Abstract

<p> This dataset is the companion dataset to the multi-week convection permitting simulations during September 2017 in which Hurricane Maria occurred, except under a future climate scenario using the the pseudo-global warming (PGW) approach. We use the Community Earth System Model Large Ensemble 2 (LENS2) to take the 100-member ensemble mean difference between the monthly mean future (2070-2100) and historical period (1999-2021), and add that delta to the ERA5 reanalysis data that forces MPAS at boundary and initial conditions. All other aspects of this PGW simulation are the same as the historical simulations, as we use MPAS-A version 8.0.1 with a 15-3km variable mesh centered at 20 degrees North and 80 degrees West. This regional domain extends from 20 degree South to 61 degree North and from 145 degree West to 15 degree West. The inner, 3km nest covers Central America and the Caribbean, while the 15 km portion of the domain extends well into South and North America. These simulations were developed to enable research as part of the NSF NCAR Mesoamerica Affinity Group (MAAG) in collaboration with Dr. Kelly Nunez Ocasio at Texas A&amp;M. Alongside the historic simulations, these novel PGW MPAS simulations will allow for an analysis of how warmer and moister conditions could change hurricanes, low-level jets, ITCZ, extreme rainfall, and MCSs, among other features, in this region. The dataset includes output on the native MPAS grid, for flexibility in plotting directly in using UXarray or to use a remapping function. We also include namelist files for running the model. </p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d797484/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d797484/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

MODELS > MODELS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2026-02-13

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID PRECIPITATION > RAIN

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2026-02-13

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

2017-09-15T000000+00

End position

2017-09-30T000000+00

Dataset reference date

date type

publication

effective date

2026-02-13

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

2026-02-17T02:11:08Z

Metadata language

eng; USA