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Site Navigation

  • Introduction
  • ESMValTool Functionalities
  • Getting started
  • Gallery
  • Available recipes
  • Obtaining input data
  • Making a recipe or diagnostic
  • Contributing to the community
  • Utilities
  • Diagnostics API Reference
  • Frequently Asked Questions
  • Changelog
  • Getting started
  • Example notebooks
  • The recipe format
  • Diagnostic script interfaces
  • Development
  • Contributing
  • ESMValCore API Reference
  • Changelog

Section Navigation

  • Shared diagnostic script code
  • Emergent constraints diagnostics
    • Emergent constraint on ECS from global temperature variability
    • Calculation of emergent constraints on ECS
    • Evaluate multiple emergent constraints simultaneously
    • Evaluate single emergent constraint
    • Auxiliary functions for emergent constraints scripts
  • Machine Learning Regression (MLR) diagnostics
    • Evaluate residuals
    • MLR main diagnostic
    • Multi-model means (MMM)
    • Plotting functionalities
    • Postprocessing functionalities
    • Preprocessing functionalities
    • Rescale data with emergent constraints
    • Auxiliary functions for MLR scripts
    • Custom extensions of sklearn functionalities
    • MLRModel base class
    • Base class for Gradient Boosted Regression models
    • Base class for Linear models
    • Gradient Boosted Regression Trees (sklearn implementation)
    • Gradient Boosted Regression Trees (xgboost implementation)
    • Gaussian Process Regression (sklearn implementation)
    • Huber Regression
    • Kernel Ridge Regression
    • LASSO Regression
    • LASSO Regression with built-in CV
    • LASSO Regression (using Least-angle Regression algorithm) with built-in CV
    • Linear Regression
    • Random Forest Regression
    • Ridge Regression
    • Ridge Regression with built-in CV
    • Support Vector Regression
  • Monitor Diagnostic
    • Monitoring diagnostic to plot arbitrary preprocessor output
    • Monitoring diagnostic to plot EOF maps and associated PC timeseries
    • Monitoring diagnostic to show multiple datasets in one plot (incl. biases)
    • Base class for monitoring diagnostics
  • Ocean diagnostics toolkit
  • Psyplot Diagnostic
  • Seaborn Diagnostic
  • ESMValTool Code API Documentation
  • Monitor Diagnostic

Monitor Diagnostic#

This module provides various tools to monitor climate model simulations. It can be used to plot arbitrary variables from arbitrary datasets.

Examples#

  • Monitor

Diagnostic scripts#

  • Monitoring diagnostic to plot arbitrary preprocessor output
  • Monitoring diagnostic to plot EOF maps and associated PC timeseries
  • Monitoring diagnostic to show multiple datasets in one plot (incl. biases)

Base class for monitoring diagnostics#

  • Base class for monitoring diagnostics

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Support Vector Regression

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Monitoring diagnostic to plot arbitrary preprocessor output

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