Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model
Abstract This study develops a surrogate‐based method to assess the uncertainty within a convective permitting integrated modeling system of the Great Lakes region, arising from interacting physics parameterizations across the lake, atmosphere, and land surface. Perturbed physics ensembles of the mo...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2025-02-01
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| Series: | Journal of Advances in Modeling Earth Systems |
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| Online Access: | https://doi.org/10.1029/2024MS004337 |
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| author | William J. Pringle Chenfu Huang Pengfei Xue Jiali Wang Khachik Sargsyan Miraj B. Kayastha T. C. Chakraborty Zhao Yang Yun Qian Robert D. Hetland |
| author_facet | William J. Pringle Chenfu Huang Pengfei Xue Jiali Wang Khachik Sargsyan Miraj B. Kayastha T. C. Chakraborty Zhao Yang Yun Qian Robert D. Hetland |
| author_sort | William J. Pringle |
| collection | DOAJ |
| description | Abstract This study develops a surrogate‐based method to assess the uncertainty within a convective permitting integrated modeling system of the Great Lakes region, arising from interacting physics parameterizations across the lake, atmosphere, and land surface. Perturbed physics ensembles of the model during the 2018 summer are used to train a neural network surrogate model to predict lake surface temperature (LST) and near‐surface air temperature (T2m). Average physics uncertainties are determined to be 1.5°C for LST and T2m over land, and 1.9°C for T2m over lake, but these have significant spatiotemporal variations. We find that atmospheric physics parameterizations alone are the dominant sources of uncertainty (45%–53%), while lake and land parameterizations account for 33% and 38% of the uncertainty of LST and T2m over land respectively. Interactions of atmosphere physics parameterizations with those of the land and lake contribute to an additional 13%–17% of the total variance. LST and T2m over the lake are more uncertain in the deeper northern lakes, particularly during the rapid warming phase that occurs in late spring/early summer. The LST uncertainty increases with sensitivity to the lake model's surface wind stress scheme. T2m over land is more uncertain over forested areas in the north, where it is most sensitive to the land surface model, than the more agricultural land in the south, where it is most sensitive to the atmospheric planetary boundary and surface layer scheme. Uncertainty also increases in the southwest during multiday temperature declines with higher sensitivity to the land surface model. |
| format | Article |
| id | doaj-art-8a7ab05a12da4e29a60e975e03d1b505 |
| institution | OA Journals |
| issn | 1942-2466 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj-art-8a7ab05a12da4e29a60e975e03d1b5052025-08-20T02:16:06ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662025-02-01172n/an/a10.1029/2024MS004337Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate ModelWilliam J. Pringle0Chenfu Huang1Pengfei Xue2Jiali Wang3Khachik Sargsyan4Miraj B. Kayastha5T. C. Chakraborty6Zhao Yang7Yun Qian8Robert D. Hetland9Environmental Science Division Argonne National Laboratory Lemont IL USADepartment of Civil, Environmental and Geospatial Engineering Michigan Technological University Houghton MI USAEnvironmental Science Division Argonne National Laboratory Lemont IL USAEnvironmental Science Division Argonne National Laboratory Lemont IL USASandia National Laboratories Livermore CA USADepartment of Civil, Environmental and Geospatial Engineering Michigan Technological University Houghton MI USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAPacific Northwest National Laboratory Richland WA USAAbstract This study develops a surrogate‐based method to assess the uncertainty within a convective permitting integrated modeling system of the Great Lakes region, arising from interacting physics parameterizations across the lake, atmosphere, and land surface. Perturbed physics ensembles of the model during the 2018 summer are used to train a neural network surrogate model to predict lake surface temperature (LST) and near‐surface air temperature (T2m). Average physics uncertainties are determined to be 1.5°C for LST and T2m over land, and 1.9°C for T2m over lake, but these have significant spatiotemporal variations. We find that atmospheric physics parameterizations alone are the dominant sources of uncertainty (45%–53%), while lake and land parameterizations account for 33% and 38% of the uncertainty of LST and T2m over land respectively. Interactions of atmosphere physics parameterizations with those of the land and lake contribute to an additional 13%–17% of the total variance. LST and T2m over the lake are more uncertain in the deeper northern lakes, particularly during the rapid warming phase that occurs in late spring/early summer. The LST uncertainty increases with sensitivity to the lake model's surface wind stress scheme. T2m over land is more uncertain over forested areas in the north, where it is most sensitive to the land surface model, than the more agricultural land in the south, where it is most sensitive to the atmospheric planetary boundary and surface layer scheme. Uncertainty also increases in the southwest during multiday temperature declines with higher sensitivity to the land surface model.https://doi.org/10.1029/2024MS004337Great Lakesregional climatelake‐atmosphere‐land interactionsuncertainty quantificationneural networkphysics parameterizations |
| spellingShingle | William J. Pringle Chenfu Huang Pengfei Xue Jiali Wang Khachik Sargsyan Miraj B. Kayastha T. C. Chakraborty Zhao Yang Yun Qian Robert D. Hetland Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model Journal of Advances in Modeling Earth Systems Great Lakes regional climate lake‐atmosphere‐land interactions uncertainty quantification neural network physics parameterizations |
| title | Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model |
| title_full | Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model |
| title_fullStr | Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model |
| title_full_unstemmed | Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model |
| title_short | Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model |
| title_sort | coupled lake atmosphere land physics uncertainties in a great lakes regional climate model |
| topic | Great Lakes regional climate lake‐atmosphere‐land interactions uncertainty quantification neural network physics parameterizations |
| url | https://doi.org/10.1029/2024MS004337 |
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