RTnn

Getting Started

  • Overview
  • Installation
  • Quick Start

User Guide

  • Neural Architectures
  • Training Strategy
  • Inference Modes

Benchmark

  • Land surface model benchmark
  • Atmosphere entire radiation scheme benchmark
  • RTE reflectance-transmittance per g-point benchmark
  • Gas Optics Benchmark

API Reference

  • RTnn API Reference

Developer Guide

  • Project Structure
  • Testing Philosophy
  • Pre-Push Workflow
RTnn
  • Overview: module code

All modules for which code is available

  • rtnn.dataset
  • rtnn.dataset_atm
  • rtnn.dataset_odepth
  • rtnn.dataset_reftrans
  • rtnn.diagnostics
  • rtnn.evaluater
  • rtnn.logger
  • rtnn.main
  • rtnn.model_loader
  • rtnn.model_utils
  • rtnn.models.fcn
  • rtnn.models.mlp
  • rtnn.models.pinn
  • rtnn.models.rnn
  • rtnn.models.transformer
  • rtnn.utils
  • rtnn.version

© Copyright 2026, K. Ardaneh / CNRS / IPSL / Sorbonne University.

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