Climate model emulation

Large computer models requiring hundreds of input parameters, taking thousands of core-hours to run , and producing terabytes of output are ubiquitous in the earth sciences. As I discuss in my recent perspective paper, it is becoming common practice to develop emulators as fast approximations of these models in order to explore the relationships between these inputs and outputs, understand uncertainties and generate large ensembles datasets.

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Pockets of Open Cells

Pockets of Open Cells (POCs) have been a source of interest since they were first described 15 years ago due to their complex nature and the importance of stratocumulus decks on the global climate. Indeed, it has been proposed that, by suppressing precipitation, anthropogenic aerosol could significantly reduce the occurrence of POCs and, through the increased cloud fraction, provide a large cooling affect on the Earth. To date, however, no large-scale analysis has been performed.

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Detecting Ship-tracks

Studied for many decades now, ship-tracks are a classic example of aerosol-cloud interactions. These perturbations to cloud albedo by aerosol emitted from ship exhaust are however very local and attempts to understand their relevance in terms of estimating global cloud droplet number and liquid water sensitivities flounder on the question of their representativeness.

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Climatebench

Easily explore future warming under different emissions scenarios using an online ClimateBench emulator as developed in Watson-Parris et al. 2022. See the emulation project page for more details on the scientific and societal uses of such emulators.

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Ship-track viewer

Easily browse all the ship-tracks detected in Watson-Parris et al. 2022 using our machine learning algorithm. Each track as an associated MODIS timestamp so you can easily match with the underlying data. See the ship-track detection page for more details on their importance and effects.

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