WRF outputs
<p dir="ltr">This dataset underpins two companion studies submitted to JGR: Atmospheres that investigate the organization and transitions of mesoscale cellular convection (MCC) over the Southern Ocean - a cloud regime that plays a critical role in the region’s radiation balance and c...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p dir="ltr">This dataset underpins two companion studies submitted to JGR: Atmospheres that investigate the organization and transitions of mesoscale cellular convection (MCC) over the Southern Ocean - a cloud regime that plays a critical role in the region’s radiation balance and climate feedbacks. The studies leverage both in-situ and remote-sensing observations collected during the SOCRATES and CAPRICORN-2018 field campaigns, alongside high-resolution numerical modeling.</p><p dir="ltr">In Part I, the Weather Research and Forecasting (WRF) model was applied in a cloud-resolving configuration to simulate observed cases of open and closed MCC. The simulations were evaluated against satellite and field observations to assess their ability to reproduce cellular structure, closed-to-open transitions, and associated cloud and precipitation characteristics. This provided a foundation for assessing model skill in representing the morphology and variability of Southern Ocean cloud systems under realistic environmental conditions.</p><p dir="ltr">In Part II, the focus shifts toward process understanding through a suite of targeted perturbed physics experiments. By systematically varying microphysical and thermodynamic parameters, we identify the key processes and environmental controls that govern MCC organization and transitions. These experiments, interpreted in conjunction with observations, provide insights into the sensitivity of Southern Ocean clouds to perturbations and highlight mechanisms that may shape their role in regional and global climate.</p><p dir="ltr">Together, these studies and their supporting datasets provide a comprehensive framework for evaluating and improving the representation of MCC in cloud-resolving and climate models, with implications for reducing uncertainties in Southern Ocean radiation and precipitation feedbacks.</p> |
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