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Generate training dataset with fake A function #7

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JordiBolibar opened this issue May 11, 2021 · 1 comment
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Generate training dataset with fake A function #7

JordiBolibar opened this issue May 11, 2021 · 1 comment
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enhancement New feature or request

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@JordiBolibar
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JordiBolibar commented May 11, 2021

Generate forward simulation of ice thickness and velocity fields, with around 4 snapshots for the whole simulation to train the UDEs.

Stop using random mass balances and use sequential MBs and ELAs in order to have a reproducible behaviour.

A as a function of the average of the ELAs of the last 5 years -> account for delays and slow transitions in ice temperature.

@JordiBolibar JordiBolibar added the enhancement New feature or request label May 11, 2021
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Dataset correctly generated and stored in a .jld file.

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