9129767 NWLRM2I3 1 apa 50 date desc year Sun, R. 18 https://rus043.scrippsprofiles.ucsd.edu/wp-content/plugins/zotpress/
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Hsu, T.-Y., Mazloff, M. R., Gille, S. T., Freilich, M. A., Sun, R., & Cornuelle, B. D. (2024). Response of sea surface temperature to atmospheric rivers. Nature Communications, 15(1), 5018. https://doi.org/10.1038/s41467-024-48486-9
Shackelford, K., Demott, C. A., van Leeuwen, P. J., Mazloff, M. R., & Sun, R. (2024). A Cold Lid on a Warm Ocean: Indian Ocean Surface Rain Layers and Their Feedbacks to the Atmosphere. Journal of Geophysical Research-Atmospheres, 129(4), 22. https://doi.org/10.1029/2023jd039272
Sun, R., Sanikommu, S., Subramanian, A. C., Mazloff, M. R., Cornuelle, B. D., Gopalakrishnan, G., Miller, A. J., & Hoteit, I. (2024). Enhanced regional ocean ensemble data assimilation through atmospheric coupling in the SKRIPS model. Ocean Modelling, 191, 102424. https://doi.org/10.1016/j.ocemod.2024.102424
Sun, R., Cobb, A., Villas Bôas, A. B., Langodan, S., Subramanian, A. C., Mazloff, M. R., Cornuelle, B. D., Miller, A. J., Pathak, R., & Hoteit, I. (2023). Waves in SKRIPS: WAVEWATCH III coupling implementation and a case study of Tropical Cyclone Mekunu. Geoscientific Model Development, 16(12), 3435–3458. https://doi.org/10.5194/gmd-16-3435-2023
Malyarenko, A., Gossart, A., Sun, R., & Krapp, M. (2023). Conservation of heat and mass in P-SKRIPS version 1: the coupled atmosphere-ice-ocean model of the Ross Sea. Geoscientific Model Development, 16(11), 3355–3373. https://doi.org/10.5194/gmd-16-3355-2023
Cerovečki, I., Sun, R., Bromwich, D. H., Zou, X., Mazloff, M. R., & Wang, S.-H. (2022). Impact of downward longwave radiative deficits on Antarctic sea-ice extent predictability during the sea ice growth period. Environmental Research Letters, 17(8), 084008. https://doi.org/10.1088/1748-9326/ac7d66
Sun, R., Boas, A. B. V., Subramanian, A. C., Cornuelle, B. D., Mazloff, M. R., Miller, A. J., Langodan, S., & Hoteit, I. (2022). Focusing and defocusing of tropical cyclone generated waves by ocean current refraction. Journal of Geophysical Research-Oceans, 127(1), 13. https://doi.org/10.1029/2021jc018112
Sun, R., Subramanian, A. C., Cornuelle, B. D., Mazloff, M. R., Miller, A. J., Ralph, F. M., Seo, H., & Hoteit, I. (2021). The role of air-sea interactions in atmospheric rivers: Case studies using the SKRIPS regional coupled model. Journal of Geophysical Research-Atmospheres, 126(6). https://doi.org/10.1029/2020jd032885
Hoteit, I., Abualnaja, Y., Afzal, S., Ait-El-Fquih, B., Akylas, T., Antony, C., Dawson, C., Asfahani, K., Brewin, R. J., Cavaleri, L., Cerovecki, I., Cornuelle, B., Desamsetti, S., Attada, R., Dasari, H., Sanchez-Garrido, J., Genevier, L., El Gharamti, M., Gittings, J. A., … Zodiatis, G. (2020). Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the Red Sea. Bulletin of the American Meteorological Society, 1–61. https://doi.org/10.1175/BAMS-D-19-0005.1
Sun, R., Subramanian, A. C., Miller, A. J., Mazloff, M. R., Hoteit, I., & Cornuelle, B. D. (2019). SKRIPS v1.0: a regional coupled ocean-atmosphere modeling framework (MITgcm-WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea. Geoscientific Model Development, 12(10), 4221–4244. https://doi.org/10.5194/gmd-12-4221-2019
Subramanian, A. C., Balmaseda, M. A., Centurioni, L., Chattopadhyay, R., Cornuelle, B. D., DeMott, C., Flatau, M., Fujii, Y., Giglio, D., Gille, S. T., Hamill, T. M., Hendon, H., Hoteit, I., Kumar, A., Lee, J. H., Lucas, A. J., Mahadevan, A., Matsueda, M., Nam, S., … Zhang, C. D. (2019). Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00427
Wu, J.-L., Sun, R., Laizet, S., & Xiao, H. (2019). Representation of stress tensor perturbations with application in machine-learning-assisted turbulence modeling. Computer Methods in Applied Mechanics and Engineering, 346, 707–726. https://doi.org/https://doi.org/10.1016/j.cma.2018.09.010
Wu, J., Xiao, H., Sun, R., & Wang, Q. (2019). Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned. Journal of Fluid Mechanics, 869, 553–586. https://doi.org/10.1017/jfm.2019.205
Sun, R., Xiao, H., & Sun, H. (2018). Investigating the settling dynamics of cohesive silt particles with particle-resolving simulations. Advances in Water Resources, 111, 406–422. https://doi.org/https://doi.org/10.1016/j.advwatres.2017.11.012
Xu, S., Sun, R., Cai, Y., & Sun, H. (2017). Study of sedimentation of non-cohesive particles via CFD–DEM simulations. Granular Matter, 20(1), 4. https://doi.org/10.1007/s10035-017-0769-7
Sun, R., Xiao, H., & Sun, H. (2017). Realistic representation of grain shapes in CFD–DEM simulations of sediment transport with a bonded-sphere approach. Advances in Water Resources, 107, 421–438. https://doi.org/https://doi.org/10.1016/j.advwatres.2017.04.015
Wang, J.-X., Sun, R., & Xiao, H. (2016). Quantification of uncertainties in turbulence modeling: A comparison of physics-based and random matrix theoretic approaches. International Journal of Heat and Fluid Flow, 62, 577–592. https://doi.org/https://doi.org/10.1016/j.ijheatfluidflow.2016.07.005
Sun, R., & Xiao, H. (2016). Sediment micromechanics in sheet flows induced by asymmetric waves: A CFD–DEM study. Computers & Geosciences, 96, 35–46. https://doi.org/https://doi.org/10.1016/j.cageo.2016.07.007
Xiao, H., Wu, J. L., Wang, J. X., Sun, R., & Roy, C. J. (2016). Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier–Stokes simulations: A data-driven, physics-informed Bayesian approach. Journal of Computational Physics, 324, 115–136. https://doi.org/https://doi.org/10.1016/j.jcp.2016.07.038
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