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This repository contains the setting up of a Neural Network Model trained with atmosphere, ocean biogegeochemical, ocean physical inputs that predicts nitrate concentration across the North West European Shelf region. This can be used to remove reportedly high model bias in the NWS domain.

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NECCTON Nitrate Emulator

ML-derived Surface Nitrate Bias Correction for the Northwest European Shelf (1993–2020)

Contents:

  • model/auto.py — AutoKeras training
  • expdir/files_tobe/pred_NO3_optm_1core.py — year-wise prediction (NetCDF)
  • expdir/copy_run.sh — SLURM staging
  • notebooks/ — baseline + demo
  • environment.yml, LICENSE, CODEOWNERS, .github/workflows/ci.yml
  • Create env with: conda env create -f environment.yml && conda activate neccton_no3

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This repository contains the setting up of a Neural Network Model trained with atmosphere, ocean biogegeochemical, ocean physical inputs that predicts nitrate concentration across the North West European Shelf region. This can be used to remove reportedly high model bias in the NWS domain.

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