A2. The History of Climate Modeling#

In this lecture, we briefly go over the history of climate modeling. I follow the timeline organized by a CarbonBrief online article and use materials from articles written by Dr. Yi-Hsuan Chen and Dr. Yen-Ting Hwang.

What is climate modeling?#

Ask ChatGPT:

Climate modeling is the use of mathematical models to simulate and understand the Earth’s climate system. These models are built using equations that represent the physical, chemical, and biological processes that govern climate dynamics. By incorporating key elements such as the atmosphere, oceans, land surface, ice, and human influences, climate models help scientists study past, present, and future climate conditions.

Key Components of Climate Models

  1. Atmospheric Dynamics: Movements of air, heat, and moisture through processes like wind, convection, and cloud formation.

  2. Ocean Dynamics: Currents, heat exchange, and the movement of salinity within the ocean.

  3. Land Surface: The effects of vegetation, soil moisture, and albedo (reflectivity) on climate.

  4. Cryosphere: The role of ice sheets, glaciers, and sea ice in reflecting sunlight and regulating heat.

  5. Radiative Transfer: The movement of solar and terrestrial radiation, influencing temperature and weather patterns.

  6. Greenhouse Gas Emissions and Aerosols: The role of CO2, methane, and other pollutants in warming or cooling the atmosphere.

Types of Climate Models

  1. Simple Climate Models: Often used for specific questions, these models simplify the system, focusing on just a few elements like temperature and carbon cycle dynamics.

  2. General Circulation Models (GCMs): Complex three-dimensional models that simulate the entire climate system, including interactions between the atmosphere, oceans, land surface, and ice.

  3. Earth System Models (ESMs): Advanced GCMs that also include processes like the carbon cycle, biogeochemistry, and the role of vegetation and ecosystems.

Purposes of Climate Modeling

  1. Understanding Climate Change: Models help predict how the Earth’s climate will respond to increasing greenhouse gas concentrations, enabling scientists to project future temperature rise, sea-level changes, and extreme weather events.

  2. Paleoclimate Studies: By modeling past climates, scientists can understand how the Earth’s climate has changed over millennia and how it might behave in the future.

  3. Scenario Planning: Climate models are used to test different policy scenarios, such as reducing carbon emissions, and their potential impacts on global and regional climates.

  4. Short-Term Forecasting: Seasonal and decadal climate models can predict patterns like El Niño, monsoons, or droughts.

Limitations of Climate Models

  1. Resolution: Models often have a coarse resolution, making it difficult to simulate fine-scale processes like local weather patterns or regional topography.

  2. Uncertainty: There is inherent uncertainty in projections due to unknown future human activities, natural variability, and incomplete understanding of certain climate processes.

  3. Complex Interactions: The climate system is highly complex, and not all interactions—especially those involving clouds, aerosols, and ocean circulation—are fully understood.

Note

George E. P. Box (statistician): Essentially, all models are wrong, but some are useful.

A minimal definition of a climate model by Professor Brian E. J. Rose:

A representation of the exchange of energy between the Earth system and space, and its effects on average surface temperature.

What is the average? And the planetary energy budget is the to all climate modeling.

1896 - Svante August Arrhenius#

  • Wikipedia link: here

  • On the Influence of Carbonic Acid in the Air upon the Temperature of the Ground (here)

  • Fourier (1827)

  • Pouillet (1838)

  • Tyndail (1865)

  • Langley (1884, 1890)

In particular, Arrhenius’ Table VII impressed me most becasue it shows polar amplified temperature increase:

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1904 - Vilhelm Bjerknes#

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1922 - Lewis Fry Richardson#

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1938 - Guy Callendar#

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1946 - John von Neumann#

  • He proposed that new computers, such as the ENIAC at the University of Pennsylvania, can be used to forecast weather.

1950 - ENIAC#

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1953 - Gilbert Plass#

  • The warming influence of human-caused CO2 emissions

  • Time magazine: here

1954 - JNWPU and BESK#

  • Joint Numerical Weather Prediction Unit (JNWPU) July 1, 1954 (Jule Gregory Charney?)

  • Binary Electronic Sequence Calculator (BESK) - December, 1954 (Carl-Gustav Rossby)

1955 - Joseph Smagorinsky#

  • General Circulation Research Section under both von Neumann and Charney.

  • to create a 3D general circulation model (GCM) of the global atmosphere based on “primitive equations”.

  • the General Circulation Research Laboratory in 1959.

  • the Geophysical Fluid Dynamics Laboratory (GFDL) in 1963.

  • a paper later by Norman Phillips 1956 - the first GCM: here and here, a 2-layer, hemispheric, quasi-geostrophic computer model.

1956 - Mikhail Budyko#

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1956 - Syukuro Manabe#

  • Smagorinsky invited Syukuro Manabe from the University of Tokyo to join his lab at the US Weather Bureau.

  • They work together to gradually add complexity to the models.

1956 - Norman Phillips#

  • a paper by Norman Phillips 1956 - the first GCM: here and here, a 2-layer, hemispheric, quasi-geostrophic computer model.

1963 - Fritz Möller#

1964 - Akio Arakawa#

1964 - NCAR#

  • Warren Washington and Akira Kasahara

  • NCAR as a leading climate modelling centre from the 1960s onwards.

1966 - National Academy of Science#

1967 - Kirk Bryan#

1967 - Manabe and Wetherald#

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  • Thermal Equilibrium of the Atmosphere with a Given Distribution of Relative Humidity

  • They produced the first credible prediction, using a 1D radiative-convective model, of what would happen to the atmosphere if CO2 levels were changed.

  • “what will happen to the global average temperature if the radiative transfer of energy between the surface and the troposphere is altered by an increase in CO2 levels?” CarbonBrief.

  • “they want to know what the potential feedbacks from water vapour and clouds might be, which they discover strongly influence the CO2 effect.” CarbonBrief

  • “They estimate the effect of doubling CO2 levels – a metric which later becomes known as “climate sensitivity” – and settle on a value of 2.4C.” CarbonBrief

  • A post by Professor John Mitchell: here

  • An interview with Syukuro Manabe: here

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1969 - William D Sellers#

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1969 - Nimbus3#

  • NASA’s Nimbus3 satellite was launched April 14, 1969 (here).

  • The era of climate scientists relying on satellite data to test and validate their models has begun.

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1969 - Manabe and Bryan#

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1970 - two meetings on human’s impact on climate#

  • Study of Critical Environmental Problems (SCEP) here

  • Inadvertent Climate Modification: Report of the Study of Man’s Impact on Climate” (SMIC) here

  • “Global climate models are presented as being “indispensable” for researching human-caused climate change.” CarbonBrief

1970 - NOAA#

  • President Richard Nixon: “serve a national need for better protection of life and property from natural hazards…for a better understanding of the total environment”.

1972 - the United Nations Conference on the Human Environment#

  • the UN Environment Program.

  • Human-caused climate change is now turn to the radar of politicians.

1972 - UK Met Office#

1975 - Manabe and Wetherald#

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1975 - Manabe, Bryan, Spelman#

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1975 - National Academy of Sciences#

1975 - Wally Broecker#

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1977 - Arakawa and Lamb#

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1979 - The Charney Report#

1979 - Newell and Dopplick#

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1980 - World Climate Research Programme (WCRP)#

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1985 - Department of Energy#

1988 - Hansen’s three scenarios#

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1988 - IPCC#

  • The United Nations Environment Programme (UNEP) and the World Meteorological Organization (WMO) establish the Intergovernmental Panel on Climate Change (IPCC).

  • “provide the world with a clear scientific view on the current state of knowledge in climate change and its potential environmental and socio-economic impacts”

  • First IPCC chair is Bert Bolin.

  • website: here

1989 - AMIP#

1989 - New NCAR and GFDL AOGCMs#

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1990 - Met Office Hadley Centre#

  • Margaret Thatcher, the UK prime minister, formally opens the Met Office’s Hadley Centre for Climate Prediction and Research in Bracknell, Berkshire.

  • The first Hadley Centre coupled model boasts “11 atmospheric levels, 17 ocean levels and 2.5° × 3.75° resolution”.

1990 - First IPCC report#

  • August 27, 1990 — August 30, 1990.

  • Report: here

  • about 0.3C warming per decade

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1990 - Robert D. Cess#

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1991 - Eruption of Mount Pinatubo#

1992 - Kevin Trenberth#

1995 - CMIP launched#

  • The Coupled Model Intercomparison Project (CMIP)

  • 18 models from 14 modelling groups are included

  • official website: here

1995 - John Mitchell#

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1995 - Draft of IPCC’s second assessment report#

  • Human activity is a likely cause of the warming of the global atmosphere

  • Dr Richard S Lindzen from MIT, however, was unconvinced: the model estimate of natural variability being correct?

1995 - US Congressional Hearing#

“climate models and projections of potential impacts of global climate change”.

  • chared by Dana Rohrabacher

  • He asks: “Are we so certain about the future climate changes that we should take action that will change the lives of millions of our own citizens at a cost of untold billions of dollars?”

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1996 - Ben Santer’s fingerprint study#

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2000 - IPCC’s Special Report on Emissions Scenarios#

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2000 - Peter Cox#

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2004 - Peter Stott and Myles Allen#

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2007 - Santer vs Douglass#

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  • Climategate affair in 2009.

2008 - Tim Lenton#

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2008 - Veerabhadran Ramanathan and Greg Carmichael#

2008 - CMIP5#

2013 - IPCC’s fifth assessment report#

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2017 - Medhaug et al.#

2021 - IPCC’s sixth assessment report#

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2021 - The Nobel Prize in Physics#

  • Syukuro Manabe

  • Klaus Hasslmann

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Doing this, doing that…How is the performance of climate models?#

The equilibrium climate sensitivity (ECS) and transient climate response (TCR) are still showing wide ranges paper here:

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2024 - Google’s NeuralGCM#

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future from now?#

  • high-resolution climate modeling?

  • AI approach?

Mid-term project#

  • Please chose one classic paper to summarize the findings and conclusion.

  • What is the model the author(s) used?

Final project (following mid-term project)#

  • Discuss what are reasonable and unreasonable.

  • Can you use what you have learned to correct/improve the model?