RAUMG 2021; submit abstracts
We invite you to submit an abstract to our special session SE05: Regional climate modelling and CORDEX at the RAUGM 2021 (Annual Meeting of the Mexican Geophysical Union) to be held in Guadalajara, Jalisco, Mexico from October 31st to 5 November 2021. Our session will be mostly online, but it will be possible to attend in person if COVID-19 allows. Oral and poster presentations can be in Spanish or English.
Deadlines: July 31st for abstract registration and 4th September for pre-registration of participation.
For further details visit: https://www.raugm.org.mx/ To register an abstract you will need to create an account: https://www.raugm.org.mx/resumenes/account/signin.php
Special Session SE05: Regional climate modelling and CORDEX / Sesión Especial SE05: Modelación climática regional y CORDEX
Regional models are a powerful tool to improve the knowledge of the physical, chemical and dynamical processes that regulate the weather and climate and their possible changes. Computational growth has favoured the development of a large number of global and regional models.
Multi-institutional projects for regional climate model simulations such as CORDEX (Coordinated Regional Downscaling Experiment) have produce regional climate models outputs at 50 and 25 km for several domains in the world, and in Europe at 10 km; CORDEX is currently developing the protocol for simulations at even finer spatial resolution forced with global models for a historical period and for future emission scenarios. The CORDEX information is available to the scientific community and it is relevant for regional process studies, for the evaluation of the possible impacts of climate change in different regions, and for decision-making and adaptation.
In this session, we are soliciting topics on:
1) Evaluation of regional models (dynamical or statistical) for different physical processes and impacts in various regions of the world including the CORDEX domains.
2) Studies of different physical processes relevant at regional scale under current and future conditions using regional models (dynamical, statistical, or hybrid downscaling).
3) Studies at local scale using convective permitting models.
4) VIA (vulnerability, impacts and adaptation) studies under climate change conditions.
Tereza Cavazos, firstname.lastname@example.org
Rosa Luna Niño, email@example.com
María Laura Bettolli, firstname.lastname@example.org
Matías Méndez Pérez, email@example.com