Published September 22, 2022 | Version v3

Replication Data for: ``Impact of Parameterized Isopycnal Diffusivity on Shelf-Ocean Exchanges under Upwelling-Favorable Winds: Offline Tracer Simulations Augmented by Artificial Neural Network''

  • 1. Department of Ocean Science, The Hong Kong University of Science and Technology, Hong Kong, China

Description

This dataset contains the modified MAMEBUS source code, configuration files for the  MITgcm and MAMEBUS simulations, model diagnostics used in the paper, and scripts to train the Artificial Neural Networks.

Files

ANN.zip

Files (9.0 GB)

Name Size
md5:9105d2445d75ae5152f23e96be631f32
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md5:1c5f2e3c6751b4bcf3ed448e221a61b5
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md5:b004b010a087c488d93a6bf4dd710adb
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md5:7eb4067220037a720e627d0e27ea762e
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