Iterative integration of deep learning in hybrid Earth surface system modelling

Nature Reviews Earth & Environment, Journal Year: 2023, Volume and Issue: 4(8), P. 568 - 581

Published: July 11, 2023

Language: Английский

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Towards a sustainable circular economy: Understanding the environmental credits and loads of reusing modular building components from a multi-use cycle perspective

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 46, P. 543 - 558

Published: Feb. 29, 2024

Language: Английский

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Convergent and Transdisciplinary Integration: On the Future of Integrated Modeling of Human‐Water Systems

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(2)

Published: Feb. 1, 2025

Abstract The notion of convergent and transdisciplinary integration, which is about braiding together different knowledge systems, becoming the mantra numerous initiatives aimed at tackling pressing water challenges. Yet, transition from rhetoric to actual implementation impeded by incongruence in semantics, methodologies, discourse among disciplinary scientists societal actors. Here, we embrace “integrated modeling”—both quantitatively qualitatively—as a vital exploratory instrument advance such providing means navigate complexity manage uncertainty associated with understanding, diagnosing, predicting, governing human‐water systems. From this standpoint, confront barriers offering seven focused reviews syntheses existing missing links across frontiers distinguishing surface groundwater hydrology, engineering, social sciences, economics, Indigenous place‐based knowledge, studies other interconnected natural systems as atmosphere, cryosphere, ecosphere. While there are, arguably, no bounds pursuit inclusivity representing spectrum human processes around resources, advocate that integrated modeling can provide approach delineating scope through lens three fundamental questions: (a) What “purpose”? (b) constitutes sound “boundary judgment”? (c) are “critical uncertainties” their compounding effects? More broadly, call for investigating what warranted “systems complexity,” opposed unjustified “computational complexity” when complex human‐natural careful attention interdependencies feedbacks, scaling issues, nonlinear dynamics thresholds, hysteresis, time lags, legacy effects.

Language: Английский

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On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization

Environmental Modelling & Software, Journal Year: 2023, Volume and Issue: 167, P. 105779 - 105779

Published: July 31, 2023

Models play a pivotal role in advancing our understanding of Earth's physical nature and environmental systems, aiding their efficient planning management. The accuracy reliability these models heavily rely on data, which are generally partitioned into subsets for model development evaluation. Surprisingly, how this partitioning is done often not justified, even though it determines what we end up with, assess its performance decisions make based outputs. In study, shed light the paramount importance meticulously considering data evaluation process, significant impact generalization. We identify flaws existing data-splitting approaches propose forward-looking strategy to effectively confront "elephant room", leading improved generalization capabilities.

Language: Английский

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SIMPLACE—a versatile modelling and simulation framework for sustainable crops and agroecosystems

in silico Plants, Journal Year: 2023, Volume and Issue: 5(1)

Published: Jan. 1, 2023

Abstract Agricultural system analysis has considerably evolved over the last years, allowing scientists to quantify complex interactions in crops and agroecosystems. Computer-based models have become a central tool for such analysis, using formulated mathematical representations (algorithms) of different biophysical processes simulate system’s behaviour. Nevertheless, current large variety algorithms combination with nonstandardization their use limits rapid rigorous model improvement testing. This is particularly important because contextualization key aspect used formulate appropriate structure specific research question, framing clear demand ‘next generation’ being modular flexible. paper aims describe Scientific Impact assessment Modelling PLatform Advanced Crop Ecosystem management (SIMPLACE), which been developed decade address various aforementioned issues support formulations interoperability. We its main technical implementation features develop customized solutions that can be applied number cropping systems high flexibility, performance transparency. A brief review exemplary applications SIMPLACE provided covering topics, systems, spatial scales geographies. stress standardized documentation modules, variables ontology data archives are requirements maintain assist development reproducibility. The increasing more complex, diversified integrated production (e.g. intercropping, livestock-grazing, agroforestry) associated impacts on sustainable food also require strong collaboration multidisciplinary community modellers stakeholders.

Language: Английский

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Theory for and from agent-based modelling: Insights from a virtual special issue and a vision

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 178, P. 106088 - 106088

Published: May 21, 2024

The Virtual Special Issue "Agents for Theory" discusses theory development using agent-based models (ABMs). six contributions focus on how the word "theory" is used in ABM literature, reviews of ABMs should be conducted to gain general insights, even conceptualisation can help transform heuristic theories into scientific ones, context-dependent choice decision better justified, reusable building blocks (RBBs) could support development, and a modular framework RBBs identify solutions. Overall, making that go system dynamics come out are interrelated, so micro-macro perspective attempt reproduce patterns at both levels simultaneously way forward. Theory requires clearer communication common language, reference patterns, more detailed model analysis testing.

Language: Английский

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Model perpetuation by designing and documenting models and workflows so that they can be reused and further developed by others: The case of multiple stressors in ecology

Ecological Modelling, Journal Year: 2025, Volume and Issue: 501, P. 111029 - 111029

Published: Jan. 28, 2025

Language: Английский

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26. Environmental modelling

Open Book Publishers, Journal Year: 2025, Volume and Issue: unknown, P. 461 - 468

Published: Feb. 25, 2025

Environmental modelling represents environmental processes using mathematical equations and eventually computer programmes. These models allow virtual experiments on a system to gain understanding of its dynamics predict behaviour, which are useful for research, policy practice. A model, however, is never neutral but always reproduces particular disciplinary norms, habits political, economic technical contexts.

Language: Английский

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A commentary on strategic community-led directions for water quality modelling in Australia and New Zealand

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132978 - 132978

Published: Feb. 1, 2025

Language: Английский

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Using values-informed mental models to understand farmer, water manager, and scientist use and perceptions of hydrologic models

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133171 - 133171

Published: March 1, 2025

Language: Английский

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