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Cross-Country Comparisons of Covid-19: Policy, Politics and the Price of Life

Environmental & resource economics, 2020-08, Vol.76 (4), p.525-551

2020

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A new global surface temperature reconstruction for the Last Glacial Maximum

Climate of the past, 2022-08, Vol.18 (8), p.1883-1896

2022

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Dependency of Feedbacks on Forcing and Climate State in Physics Parameter Ensembles

Journal of climate, 2011-12, Vol.24 (24), p.6440-6455

2011

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Structural Similarities and Differences in Climate Responses to CO₂ Increase between Two Perturbed Physics Ensembles

Journal of climate, 2010-03, Vol.23 (6), p.1392-1410

2010

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Reliability and importance of structural diversity of climate model ensembles

Climate dynamics, 2013-11, Vol.41 (9-10), p.2745-2763

2013

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Using a Multiphysics Ensemble for Exploring Diversity in Cloud–Shortwave Feedback in GCMs

Journal of climate, 2012-08, Vol.25 (15), p.5416-5431

2012

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Comment on “Heat capacity, time constant, and sensitivity of Earth's climate system” by S. E. Schwartz

Journal of Geophysical Research - Atmospheres, 2008-08, Vol.113 (D15), p.D15102-n/a

2008

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Allowable carbon emissions for medium-to-high mitigation scenarios

Tellus. Series B, Chemical and physical meteorology, 2013-01, Vol.65 (1), p.20586-24

2013

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Can we reliably reconstruct the mid-Pliocene Warm Period with sparse data and uncertain models?

Climate of the past, 2024-09, Vol.20 (9), p.1989-1999

2024

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On the meaning of independence in climate science

Earth system dynamics, 2017-03, Vol.8 (1), p.211-224

2017

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Bayesian deconstruction of climate sensitivity estimates using simple models: implicit priors and the confusion of the inverse

Earth system dynamics, 2020-04, Vol.11 (2), p.347-356

2020

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What could we learn about climate sensitivity from variability in the surface temperature record?

Earth system dynamics, 2020-08, Vol.11 (3), p.709-719

2020

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Reliability of multi-model and structurally different single-model ensembles

Climate dynamics, 2012-08, Vol.39 (3-4), p.599-616

2012

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Perturbed physics ensemble using the MIROC5 coupled atmosphere–ocean GCM without flux corrections: experimental design and results: Parametric uncertainty of climate sensitivity

Climate dynamics, 2012-12, Vol.39 (12), p.3041-3056

2012

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Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5

Geoscientific Model Development, 2017-12, Vol.10 (12), p.4647-4664

2017

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Correlation between Inter-Model Similarities in Spatial Pattern for Present and Projected Future Mean Climate

SOLA, 2009, Vol.5, pp.133-136

2009

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Nonlinearity of Land Carbon Sensitivities in Climate Change Simulations

Journal of the Meteorological Society of Japan. Ser. II, 2012, Vol.90A, pp.259-274

2012

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Identification of climatic state with limited proxy data

Climate of the past, 2012-07, Vol.8 (4), p.1141-1151

2012

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Are paleoclimate model ensembles consistent with the MARGO data synthesis?

Climate of the past, 2011-01, Vol.7 (3), p.917-933

2011

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Perturbed physics ensemble using the MICROC5 coupled atmosphere-ocean GCM without flux corrections: experimental design and results: parametric uncertainty of climate sensitivity

Climate dynamics, 2012-12, Vol.39 (12), p.3041

2012

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Structural Similarities and Differences in Climate Responses to CO sub(2) Increase between Two Perturbed Physics Ensembles

Journal of climate, 2010-03, Vol.23 (6), p.1392-1410

2010

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On the importance of paleoclimate modelling for improving predictions of future climate change

Climate of the past, 2009-01, Vol.5 (4), p.803-814

2009

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ENSEMBLE EXPERIMENTS TO QUANTIFY UNCERTAINTY IN GLOBAL SNOW SIMULATION

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 2013, Vol.69 (4), p.I_439-I_444

2013

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Cross-Country Comparisons of Covid-19: Policy, Politics and the Price of Life

A new global surface temperature reconstruction for the Last Glacial Maximum

Dependency of Feedbacks on Forcing and Climate State in Physics Parameter Ensembles

Structural Similarities and Differences in Climate Responses to CO₂ Increase between Two Perturbed Physics Ensembles

Reliability and importance of structural diversity of climate model ensembles

Using a Multiphysics Ensemble for Exploring Diversity in Cloud–Shortwave Feedback in GCMs

Large-scale features and evaluation of the PMIP4-CMIP6 midHolocene simulations

Comment on “Heat capacity, time constant, and sensitivity of Earth's climate system” by S. E. Schwartz

Allowable carbon emissions for medium-to-high mitigation scenarios

Can we reliably reconstruct the mid-Pliocene Warm Period with sparse data and uncertain models?

On the meaning of independence in climate science

Bayesian deconstruction of climate sensitivity estimates using simple models: implicit priors and the confusion of the inverse

What could we learn about climate sensitivity from variability in the surface temperature record?

Reliability of multi-model and structurally different single-model ensembles

Perturbed physics ensemble using the MIROC5 coupled atmosphere–ocean GCM without flux corrections: experimental design and results: Parametric uncertainty of climate sensitivity

Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5

Correlation between Inter-Model Similarities in Spatial Pattern for Present and Projected Future Mean Climate

Nonlinearity of Land Carbon Sensitivities in Climate Change Simulations

Identification of climatic state with limited proxy data

Large-scale features and evaluation of the PMIP4-CMIP6 mid Holocene simulations

Are paleoclimate model ensembles consistent with the MARGO data synthesis?

Perturbed physics ensemble using the MICROC5 coupled atmosphere-ocean GCM without flux corrections: experimental design and results: parametric uncertainty of climate sensitivity

Structural Similarities and Differences in Climate Responses to CO sub(2) Increase between Two Perturbed Physics Ensembles

On the importance of paleoclimate modelling for improving predictions of future climate change

ENSEMBLE EXPERIMENTS TO QUANTIFY UNCERTAINTY IN GLOBAL SNOW SIMULATION

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