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Staff Profile

Jared Lewis

Jared Lewis

CTO and Co-founder

Jared is the Chief Technical Officer at Climate Resource, and has a background in research software engineering. He is expert at developing solutions for processing, visualising and distributing large scientific datasets. He was a Contributing Author to the Synthesis Report as well as Chapters within Working Groups 1 and 3 for the IPCC Sixth Assessment Report. Jared has been one of the lead developers of the MAGICC reduced complexity climate model for many years. He has built the underlying data tools to support Climate Resource's:

  • NDC Quantification - emissions projections to 2050 for 196 countries, that estimates emissions under country' nationally determined contributions and long-term targets submitted to the UNFCCC. This is an important resource, used extensively by the science and policy community and international organisations.
  • ESM model evaluation- development of the Rapid Evaluation Framework (REF) to benchmark Earth System Models and extract diagnostic information from models contributing to the World Climate Research Program's Coupled Model Intercomparison Project (CMIP6 and the upcoming CMIP7). Jared is the technical lead of the REF program.
  • Temperature assessment - building software to enable organisations to access and run MAGICC with appropriate inputs and configurations. This supports organisations to assess the global-mean climate implications of emissions scenarios (for example, quantifying the warming associated with the IEA’s World Energy Outlook scenarios)
  • Regional climate impacts work, using MAGICC coupled with outputs from Earth System Models that contribute to the World Climate Research Program's Coupled Model Intercomparison Project (CMIP) outputs, and software that builds on methodologies used in MESMER-X (Modular Earth System Model Emulator for Regional eXtremes). Jared is leading our work using these methods and tools to derive high-resolution regional projections of a range of critical temperature, precipitation, and water-flow metrics.