What question did this study set out to answer?

Examine the growing challenges of adapting complex weather and climate models to rapidly diversifying computing architectures and propose a collaborative development strategy.

May 8, 2018Geoscientific model developmentOpen Access

Crossing the chasm: how to develop weather and climate models for next generation computers?

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Examine the growing challenges of adapting complex weather and climate models to rapidly diversifying computing architectures and propose a collaborative development strategy.
Reviewed historical hardware paradigms and emerging heterogeneous processor trends impacting weather and climate models.
Evaluated current software engineering approaches, including domain-specific languages and standardized software libraries across climate modeling institutions.
Identified that incremental, isolated code adjustments are insufficient to keep pace with rapid processor diversification.
Proposed a community-driven engineering framework centered on domain-specific languages, shared software libraries, and collective standardization to decouple scientific models from underlying hardware.

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Implication

Methodological review reveals widening gaps between software complexity and hardware diversity in climate simulation, highlighting the need for collaborative community frameworks and standardization.

Cite This Study

Lawrence et al. (2018) studied this question.

synapsesocial.com/papers/6aacdac6d0cf774bc8858141 https://doi.org/10.5194/gmd-11-1799-2018

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Implication

Methodological review reveals widening gaps between software complexity and hardware diversity in climate simulation, highlighting the need for collaborative community frameworks and standardization.

Crossing the chasm: how to develop weather and climate models for next generation computers?

Key Points

Discussion

Implication

Cite This Study

Crossing the chasm: how to develop weather and climate models for next generation computers?

Key Points

Discussion

Implication

Cite This Study

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