3.2. Earth Systems Modelling
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3.2. Earth Systems Modelling
Use the future to build the present
Earth Systems Modelling
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1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology

Emerging Topic:

3.2Earth Systems Modelling

    Associated Sub-Fields

    The concept of the Earth system can be traced to James Lovelock’s much-discussed Gaia hypothesis, which posited that all of Earth is a self-regulating whole. While aspects of Lovelock’s proposal remain controversial, the core notion of significant interactions between elements of the Earth system — oceans, atmosphere, land, Arctic and Antarctic ice (the cryosphere) and biosphere — has proved correct.

    Researchers seeking to understand climate change have thus been required to incorporate ever more components of the Earth system into their models. By including explicit models of the cryosphere, for example, researchers can better predict the extent and speed of sea level rise. In addition, the models must incorporate the effects of feedback loops, where small changes in one component can trigger effects in others, that then in turn alter the state of the first component, amplifying or diminishing the original change. The Earth system paradigm has also led to the identification of “tipping elements”. These are components of the Earth system that can undergo effectively irreversible change given a sufficiently strong stimulus.

    Earth system models that can handle these interactions are necessarily extremely complex. One key enabler is the development of ever more powerful supercomputers. However, a crucial task is to ground them in observations of real-world systems, and in process-oriented studies that capture the mechanisms of the Earth system. This requires a significant increase in monitoring capacity, using both terrestrial and space-based sensors. Strategic improvements in Earth remote sensing would bolster our understanding of the Earth system and ability to forecast societally-relevant changes.

    SELECTION OF GESDA BEST READS AND KEY REPORTS:

    In January 2023, an international collaboration published Teleconnections among tipping elements in the Earth system, delving deep into the Earth's interconnected ecological zones. By identifying strong linkages between pivotal components like the Amazon Rainforest Area and the Tibetan Plateau, the study emphasises the potential domino effect of environmental disturbances, accentuating the urgency of decoding these ties to anticipate and navigate future climate alterations. In a similar vein, a group of researchers published Many risky feedback loops amplify the need for climate action in February, an important attempt to highlight feedback loops that are not fully accounted for in climate models. Predicting climatic tipping points, also published in February by a collaboration between German and Indian researchers, unravels alarming climatic thresholds by deploying an innovative model. The revelations underscore the impending peril of unchecked greenhouse emissions and the pressing need for timely interventions.

    Emerging Topic:

    Anticipation Potential

    Earth Systems Modelling

    Sub-Fields:

    Modelling of feedbacks in the Earth system
    Tipping element modelling and forecasting
    Interactions between earth systems
    Model intercomparison
    Digital models are already becoming an increasingly popular tool among both scientists and policymakers. Physical models have the highest potential for disruption, but the field's relative maturity has lowered anticipation scores. Socioeconomic models and progress in the integration and coupling of different types of models were deemed to be around 12 years from maturity and in need of collaborative, interdisciplinary research, suggesting they would benefit from particular focus in the coming years.

    GESDA Best Reads and Key Resources

    Article

    Digital Twin Earth, quantum computing and AI take centre stage at ESA’s Φ-week

    Published:

    8th Aug 2021
    ESA’s 2020 Φ-week event kicked off this morning with a series of stimulating speeches on Digital Twin Earth, updates on Φ-sat-1, which was successfully launched into orbit earlier this month, and an exciting new initiative involving quantum computing.