LATIN AMERICA HIGH PERFORMANCE COMPUTING CONFERENCE

Latin America and Caribbean Advances on Weather Forecasting Workshop

Workshop Description

Extreme weather and climate hazard forecasting plays a fundamental role in mitigating climate risks across Latin America and the Caribbean (LAC), a region disproportionately affected by climate change. Increasingly frequent hydrometeorological hazards—including extreme temperatures, droughts, storms, hurricanes, and floods, confirm the urgency of accurate information and predictive tools. However, historical challenges such as fragmented observational networks and limited regional collaboration have hampered progress in developing tailored forecasting models and leveraging high-performance computing (HPC) solutions for climate and atmospheric research. In the meantime, the international community is moving from current-generation modeling tools (e.g., the Weather Research and Forecasting (WRF) model) to next-generation models that can take advantage of modern HPC systems (e.g., the Model for Prediction Across Scales – Atmosphere (MPAS-A). Furthermore, as AI and ML advance their capabilities and are increasingly adopted, questions remain regarding the convergence between weather forecasting and these technologies.

This workshop seeks to establish a collaborative platform for the LAC weather and climate community to address these gaps. It will bring together the community to discuss the strategic and technical future of weather forecasting. We will include presentations by invited speakers, peer-reviewed papers, and technical/user experience talks that will showcase advances in regional modeling, model adaptations and development, use or creation of new models, and the fostering of partnerships. An emphasis will be placed on integrating local climatic characteristics, such as ENSO-related variability, into predictive frameworks.

Submission Types

Full Papers

Submissions for full papers must be unpublished and not under review elsewhere.
Length: 8-15 pages
Language: English (Official language of the CARLA Conference)
Peer Review: Single-blind, reviewed by at least two experts
Proceedings: The selected papers will be published in the Latin American journal Avances en Ciencias e Ingeniería (ACI). Submission guidelines (in Spanish) are available on Avances en Ciencias e Ingeniería (ACI) You may use your browser’s translation feature if needed.

Please note that the journal provides its official template only in Microsoft Word format. We have created an initial LaTeX version that aims to match the original as closely as possible, and it is attached for your convenience, if consider you would develop an improved version of it.

Technical/User Experience Talks

Language: English (Official language of the CARLA Conference)

Submissions should include a title and a 1 – 2 page abstract describing the experiences that will be presented in a short talk during the workshop, if selected. The final presentation slides shall be provided to the organizers nearer to the workshop date.

Submission Guidelines

To begin the submission process for either a full paper or a technical/user experience talk, please register an account in the submission site and add your submission, ensuring that you have followed the details given above regarding your submission type.
Submission Website: https://meteor.springer.com/carla2025

Submission Deadlines

  • Paper/Technical Talk submission deadline: August 8, 2025.
  • Paper/Technical Talk author notification: August 15, 2025.
  • Camera-ready version: September 5, 2025.

Topics of Interest

  1. Advances in regional Numerical Weather Prediction (NWP) for LAC 
    • Development and adaptation of high‑resolution regional models (e.g., WRF, MPAS‑A) suited to Latin American and Caribbean climatic and topographic diversity
  2. Next‑Generation High Performance Computing in Forecasting Models 
    • Strategies to leverage modern HPC architectures, such as GPU clusters and exascale systems, to run scalable, multi‑scale atmospheric simulations
  3. Multiresolution and Multimodel Integration 
    • Methods to fuse outputs from nested-resolution and ensemble modeling systems, enhancing reliability while optimizing computational cost
  4. Data Models & Assimilation Schemes for a Fragmented Observational Network 
    • Innovative assimilation techniques that incorporate heterogeneous datasets: remote sensors, regional weather stations, satellite data, and IoT‑enabled platforms
  5. Modeling ENSO and Other Regional Climate Drivers 
    • Incorporation of ENSO phases, Amazon variability, Andean climatic influences, and teleconnection patterns into forecasting systems tailored to LAC
  6. AI/ML‑Enhanced Forecasting: Convergence with NWP 
    • Integration of machine learning with classical models—hybrid architectures, surrogate modeling, downscaling, and bias correction approaches
  7. End‑to‑End Operational Pipelines: From Research to Production 
    • Deploying research-grade models into operational forecasting platforms, including tools for visualization, dissemination, and stakeholder integration
  8. Cross‑Institutional & Regional Collaboration Frameworks 
    • Design of shared platforms and partnerships for model code:
      • Standardization of datasets and metadata
      • Interoperability across national meteorological institutions
      • Best practices for model version control and joint development.

Schedule

Workshop will be a full-day
Agenda is to be determined

Location

To be determined

Organizing Committee

PhD. Esteban Hernández
CyberColombia

Michael Duda
NSF National Center for Atmospheric Research

PhD. Jose Monsalve Diaz
AMD

Natalie Henriques
TACC

Katherine Rasmussen
Lawrence Berkeley National Laboratory