TY - JOUR
T1 - Specification and Verification for Climate Modeling
T2 - International Workshop on Verification of Scientific Software, VSS 2025
AU - Altuntas, Alper
AU - Baker, Allison H.
AU - Baugh, John
AU - Gopalakrishnan, Ganesh
AU - Siegel, Stephen F.
N1 - Publisher Copyright:
© Altuntas, Baker, Baugh, Gopalakrishnan, and Siegel This work is licensed under the Creative Commons Attribution License.
PY - 2025
Y1 - 2025
N2 - Earth System Models (ESMs) are critical for understanding past climates and projecting future scenarios. However, the complexity of these models, which include large code bases, a wide community of developers, and diverse computational platforms, poses significant challenges for software quality assurance. The increasing adoption of GPUs and heterogeneous architectures further complicates verification efforts. Traditional verification methods often rely on bitwise reproducibility, which is not always feasible, particularly under new compilers or hardware. Manual expert evaluation, on the other hand, is subjective and time-consuming. Formal methods offer a mathematically rigorous alternative, yet their application in ESM development has been limited due to the lack of climate model-specific representations and tools. Here, we advocate for the broader adoption of formal methods in climate modeling. In particular, we identify key aspects of ESMs that are well suited to formal specification and introduce abstraction approaches for a tailored framework. To demonstrate this approach, we present a case study using CIVL model checker to formally verify a bug fix in an ocean mixing parameterization scheme. Our goal is to develop accessible, domain-specific formal tools that enhance model confidence and support more efficient and reliable ESM development.
AB - Earth System Models (ESMs) are critical for understanding past climates and projecting future scenarios. However, the complexity of these models, which include large code bases, a wide community of developers, and diverse computational platforms, poses significant challenges for software quality assurance. The increasing adoption of GPUs and heterogeneous architectures further complicates verification efforts. Traditional verification methods often rely on bitwise reproducibility, which is not always feasible, particularly under new compilers or hardware. Manual expert evaluation, on the other hand, is subjective and time-consuming. Formal methods offer a mathematically rigorous alternative, yet their application in ESM development has been limited due to the lack of climate model-specific representations and tools. Here, we advocate for the broader adoption of formal methods in climate modeling. In particular, we identify key aspects of ESMs that are well suited to formal specification and introduce abstraction approaches for a tailored framework. To demonstrate this approach, we present a case study using CIVL model checker to formally verify a bug fix in an ocean mixing parameterization scheme. Our goal is to develop accessible, domain-specific formal tools that enhance model confidence and support more efficient and reliable ESM development.
UR - https://www.scopus.com/pages/publications/105021087090
U2 - 10.4204/EPTCS.432.8
DO - 10.4204/EPTCS.432.8
M3 - Conference article
AN - SCOPUS:105021087090
SN - 2075-2180
VL - 432
SP - 60
EP - 75
JO - Electronic Proceedings in Theoretical Computer Science, EPTCS
JF - Electronic Proceedings in Theoretical Computer Science, EPTCS
Y2 - 4 May 2025 through 4 May 2025
ER -