# Climate Modeling Infrastructure **Domain:** Infrastructure / Computing **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** Evolving **Related:** [[Climate Modeling]], [[Climate Data Infrastructure]], [[Computational Infrastructure]], [[Scientific Capacity]], [[Technology Concentration]], [[Institutional Power]] --- ## Definition **Climate Modeling Infrastructure** refers to **the institutional, computational, and data systems required to operate global climate models—including supercomputers, numerical code, observational datasets, and institutions that maintain and advance climate modeling capability**. Infrastructure concentration affects scientific autonomy and predictive power. --- ## General Context Climate modeling requires computational power, expertise, and observational data. Historically, modeling was concentrated in well-resourced national labs and universities. Increasingly, modeling moves to cloud platforms, centralizing infrastructure ownership. The concentration of modeling infrastructure affects who can run models, what scenarios are explored, and how uncertainty is characterized. Climate modeling is essential for climate science and policy but is not equally accessible across nations and institutions. --- ## Planetary Sensing Context Climate modeling infrastructure depends on [[Climate Data Infrastructure]] for observational data inputs. Concentration of both in private or wealthy-nation control creates asymmetric intelligence capacity. --- ## Key Insight Climate modeling infrastructure concentration creates **asymmetric foresight**—wealthy nations and institutions can model climate futures that poor nations cannot, creating predictive inequality. --- ## See Also [[Big Data Project]], [[Climate Modeling]], [[Commercial Cloud Migration]], [[Climate Science]], [[American Data Safe Haven]]