I've worked in "climate intelligence" for many years. The list overlooks one of the largest and most immediate opportunities around that market: the data infrastructure and analysis tools we have today are profoundly unfit for purpose. Just about everyone is essentially using cartography tools to do large-scale spatiotemporal analysis of sensor and telemetry data. The gaps for both features and practical scalability are massive.
It has made most of the climate intelligence analysis we'd like to do, and for which data is available, intractable. And what we can do is so computationally inefficient that we figuratively burn down a small forest every time we run an analysis on a non-trivial model, which isn't very green either.
(This is definitely something I'd work on if I had the bandwidth, it is a pretty pure deep tech software problem.)
It has made most of the climate intelligence analysis we'd like to do, and for which data is available, intractable. And what we can do is so computationally inefficient that we figuratively burn down a small forest every time we run an analysis on a non-trivial model, which isn't very green either.
(This is definitely something I'd work on if I had the bandwidth, it is a pretty pure deep tech software problem.)