logo
  • Home
  • About
    show further links
    • Who We Are
    • Work Packages
  • Publications
    show further links
    • Academic Publications
    • Reports
  • Resources
    show further links
    • Briefing Papers
    • Graphics
    • Animations
    • Translations
    • Online tools
  • News
  • Tools & Data
  • Intranet
Home / code
  • Featured

    CONSTRAIN Webinar - The critical decade for climate: unpacking the IPCC Working Group reports

    May 16, 2022

  • Featured

    How not to interpret the emissions scenarios in the IPCC report

    Apr 05, 2022

  • Featured

    Science communication and climate change – what have we learned so far?

    Mar 02, 2022

  • Featured

    When it comes to forecasts, politics fails more often than science

    Mar 09, 2022

  • Featured

    CONSTRAIN @COP26 - rewatch our events

    Nov 15, 2021

  • Featured

    The role ‘emulator’ models play in climate change projections

    Sep 28, 2021

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6

Search News

Code for estimation of remaining carbon budget in IPCC AR6 WGI

Lamboll et al

Code for Responsibility of major emitters for country-level warming and extreme hot years

Data and code available for Bausch et al

Large-scale emergence of regional changes in year-to-year temperature variability by the end of the 21st century

Code used to both process the data and create the figures for (OIonscheck et al)

The 2000-2012 global warming hiatus more likely with a low climate sensitivity

Dataset containing python codes, observational data, processed CMIP6 and CMIP5 model data and AR5 ERF forcing used to produce the figures in (Modak, Mauritsen)

Quantifying uncertainty in aggregated climate change risk assessments

Scripts and data necessary to reproduce figures from (Harrington et al)

Incremental improvements of 2030 targets insufficient to achieve the Paris Agreement goals

Supplementary material for (Geiges et al)

Silicone, an open source Python package

Code for Silicone (Lamboll et al)

Energy budget constraints on historical forcing

The code used to produce (Andrews, Forster et al)

Bayesian framework for emergent constraints: case studies of climate sensitivity with PMIP

Code used in (Renoult et al)

Receive Updates constrain@leeds.ac.uk @constrain_eu

eu-icon

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820829.

Constrain Partners

  • University of Leeds
  • Météo-France
  • UK Met Office
  • Stockholms Universitet
  • IIASA
  • ETH Zürich
  • CICERO
  • Universität Leipzig
  • Weizmann Institute of Science
  • Climate Analytics
  • Max Planck Institute for Meteorology
  • TU-Delft
  • CNRS
  • Imperial College London
  • Home
  • About
    • Who We Are
    • Work Packages
  • Publications
    • Academic Publications
    • Reports
  • Resources
    • Briefing Papers
    • Graphics
    • Animations
    • Translations
    • Online tools
  • News
  • Tools & Data
  • Intranet