Digital earth and integrated climate simulation platforms
We're flying blind on climate data
Climate action is happening in the dark. We're making trillion-dollar decisions about energy systems, carbon markets, and climate adaptation based on incomplete, outdated, or simply wrong information.
Most of what we think we know about emissions comes from estimates and calculations, not actual measurements. We're guessing at how much carbon forests store, how fast cities are decarbonizing, and whether our climate projects are working. Meanwhile, climate impacts are accelerating faster than our models predicted, and we need precise, real-time data to respond effectively.
This isn't just an academic problem. Investors can't tell which climate projects deliver real results. Cities can't plan infrastructure without knowing their local climate risks. Companies can't manage what they can't measure. The gap between what we need to know and what we actually know is enormous — and it's slowing down everything else.
Climate models can't predict local impacts precisely enough to plan around
Global climate models are good at predicting planetary trends, but they struggle with the local details that matter for planning and adaptation. A city needs to know if it will face more flooding, longer droughts, or stronger storms — not just that the planet will be warmer.
This precision gap makes it nearly impossible to design effective adaptation strategies. Infrastructure investments, agricultural planning, and disaster preparedness all depend on understanding local climate risks, but current models often can't provide the detail needed for confident decision-making.
Digital earth and integrated climate simulation platforms
Comprehensive modeling platforms that integrate climate, weather, ocean, land surface, and human systems into unified simulations. These digital twins of Earth can model complex interactions between different systems and provide integrated projections of climate impacts.
These platforms represent the cutting edge of climate modeling, combining multiple Earth system models with high-performance computing to create detailed, integrated projections of climate change impacts. They're essential for understanding complex climate interactions and planning comprehensive adaptation strategies.
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