World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
36
Citations
10637
World Ranking
9020
National Ranking
671

Overview

David A. Stainforth is affiliated with the London School of Economics and Political Science in the United Kingdom. Their research spans multiple fields and subfields related to climate science, economics, and environmental dynamics.

The scientist's recent papers include the following:

  • "The missing risks of climate change" (2022, Nature)
  • "Temperature variability implies greater economic damages from climate change" (2020, Nature Communications)
  • "On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives" (2021, Climatic Change)
  • "New priorities for climate science and climate economics in the 2020s" (2020, Nature Communications)
  • "Assessing the Quality of Regional Climate Information" (2020, Bulletin of the American Meteorological Society)

Prominent frequent co-authors of David A. Stainforth include:

  • S. C. Chapman
  • Raphael Calel
  • Watkins W. Nicholas
  • Francisco de Melo Viríssimo

David A. Stainforth's scholarly output is frequently published in a range of venues, with notable publication counts in:

  • Harvard Dataverse
  • Climatic Change
  • Bulletin of the American Meteorological Society
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature

The main subfields of study encompassed by Stainforth's work include:

  • Global and Planetary Change
  • Economics and Econometrics
  • Statistical and Nonlinear Physics
  • Atmospheric Science
  • Sociology and Political Science

The primary research topics covered in their publications address climate and environmental issues, specifically:

  • Climate Change Policy and Economics
  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Advanced Thermodynamics and Statistical Mechanics
  • Ecosystem dynamics and resilience
  • Complex Systems and Time Series Analysis
  • Sustainability and Climate Change Governance

Best Publications

  • Quantification of modelling uncertainties in a large ensemble of climate change simulations

    James M. Murphy;David M. H. Sexton;David N. Barnett;Gareth S. Jones

  • Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

    David A. Stainforth;T. Aina;C. Christensen;M. Collins

  • Storylines: an alternative approach to representing uncertainty in physical aspects of climate change

    Theodore G. Shepherd;Emily Boyd;Raphael A. Calel;Raphael A. Calel;Sandra C. Chapman;Sandra C. Chapman

  • Confidence, uncertainty and decision-support relevance in climate predictions.

    David A. Stainforth;David A. Stainforth;M. R. Allen;Edward Tredger;Leonard A. Smith

  • The Development of a Free-Surface Bryan–Cox–Semtner Ocean Model

    Peter D. Killworth;David Stainforth;David J. Webb;Stephen M. Paterson

  • Multispectral imaging contributions to global land ice measurements from space

    Jeffrey S. Kargel;Michael J. Abrams;Michael P. Bishop;Andrew Bush

  • Towards objective probabalistic climate forecasting.

    Myles R. Allen;David A. Stainforth

  • The missing risks of climate change

    Unknown

  • Issues in the interpretation of climate model ensembles to inform decisions

    David A Stainforth;David A Stainforth;Thomas E Downing;Richard Washington;Ana Lopez

  • Realistic quasi‐biennial oscillations in a simulation of the global climate

    Adam A. Scaife;Neal Butchart;Christopher D. Warner;David Stainforth

  • Constraining Climate Sensitivity from the Seasonal Cycle in Surface Temperature

    Reto Knutti;Gerald A. Meehl;Myles R. Allen;David A. Stainforth

  • Analyzing the Climate Sensitivity of the HadSM3 Climate Model Using Ensembles from Different but Related Experiments

    Jonathan Rougier;David M. H Sexton;James M. Murphy;David A. Stainforth

  • Constraining climate forecasts: The role of prior assumptions

    D. J. Frame;B. B. B. Booth;J. A. Kettleborough;D. A. Stainforth

  • Tales of future weather

    W. Hazeleger;W. Hazeleger;B.J.J.M. van den Hurk;B.J.J.M. van den Hurk;E. Min;G.J. van Oldenborgh

  • Irreducible uncertainty in near-term climate projections

    Ed Hawkins;Robin S. Smith;Jonathan M. Gregory;Jonathan M. Gregory;David A. Stainforth;David A. Stainforth;David A. Stainforth

  • Constraints on climate change from a multi‐thousand member ensemble of simulations

    C. Piani;D. J. Frame;D. A. Stainforth;M. R. Allen

  • Water resource planning under future climate and socioeconomic uncertainty in the Cauvery River Basin in Karnataka, India

    Ajay Gajanan Bhave;Ajay Gajanan Bhave;Declan Conway;Suraje Dessai;David A. Stainforth;David A. Stainforth

  • Barriers and opportunities for robust decision making approaches to support climate change adaptation in the developing world

    Ajay Gajanan Bhave;Ajay Gajanan Bhave;Declan Conway;Suraje Dessai;David A. Stainforth

  • Association of parameter, software, and hardware variation with large-scale behavior across 57,000 climate models

    Christopher G. Knight;Sylvia H. E. Knight;Neil Massey;Tolu Aina

  • Two Approaches to Quantifying Uncertainty in Global Temperature Changes

    Ana Lopez;Claudia Tebaldi;Mark New;Dave Stainforth

  • Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know?

    Naomi Oreskes;David A. Stainforth;Leonard A. Smith

  • Avoiding dangerous climate change

    M. R. Allen;N. Andronova;B. Booth;S. Dessai

Frequent Co-Authors

Myles R. Allen
Myles R. Allen University of Oxford
Suraje Dessai
Suraje Dessai University of Leeds
Matthew D. Collins
Matthew D. Collins University of Reading
Declan Conway
Declan Conway London School of Economics and Political Science
David J. Frame
David J. Frame Victoria University of Wellington
Jonathan M. Gregory
Jonathan M. Gregory University of Reading
Wilco Hazeleger
Wilco Hazeleger Utrecht University
Thomas E. Downing
Thomas E. Downing Stockholm Environment Institute

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