Dr. John Mejia

Title: Assistant Research Professor
Affiliation: Division of Atmospheric Sciences
Location: Reno
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Phone: 775.673-7667
Resume: Download PDF

Research Areas

• Climate Modeling and Environmental Impacts
• Climate Dynamics
• Hydro Climate

Professional Interests

Dr. Mejia is working on the climate modeling component efforts as part of the Nevada NSF-EPSCoR Climate Change project. He is focused on the implementation and development of “statistical” and “dynamical” based downscaling techniques using Global Clime Modeling products into space scales relevant for regional and local impact studies. The synthesis and interpretation of these results will increase scientific understanding to provide information of value to decision-makers. The downscaling techniques consist in creating consistent and quantitative fine scale datasets suitable for climate variability and climate change impact. His special emphasis has been to create the framework and to explore and explain future climate change signals in Nevada and SW U.S intermountain region including the Tri-State consortium (NV, Idaho, and NM) domain.

Currently, He is implementing and developing transportable methodologies to improve the applicability of such products into fundamental understanding of climate processes. Both global and regional climate model results, products, predictions, and projections will be provided to other project components (Ecology; Hydrology; Cyberinfrastructure; Education, Outreach, and Policy making) and other key end-user groups.

In summary, his research agenda includes:

• Efforts to quantify and reduce uncertainty within and across models in order to increase the accuracy of regional and local climate projections.
• Provide fine-resolution climate predictions on regional and subregional scales, including assessment of confidence and variables of most relevance for the other disciplines in this project.
• Making model outputs available for different time horizons and on various temporal scales required for different adaptation measures.
• Provide and disseminate climate information that is more relevant to adaptation and policymakers.
• Promote guidance and information in plain English associated with climate models, downscaling methods and resulting data.
• Continue integration of research with education component via students and teaching and training.