From 57729081cf721682252e6db3d5f32434e07f3e74 Mon Sep 17 00:00:00 2001 From: Shubham Gupta Date: Tue, 15 Oct 2024 14:06:15 -0400 Subject: [PATCH 1/3] removed logo from pre 2020 papers --- content/publications/archive/_index.md | 40 ++++++++++++-------------- 1 file changed, 19 insertions(+), 21 deletions(-) diff --git a/content/publications/archive/_index.md b/content/publications/archive/_index.md index 468a9d02..2a387758 100644 --- a/content/publications/archive/_index.md +++ b/content/publications/archive/_index.md @@ -12,51 +12,49 @@ heroBackground: 'images/susan-q-yin-2JIvboGLeho-unsplash.jpg' * DOI icon Guillaumin, A. P., & Zanna, L. **[Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021MS002534)** JAMES 2021 -* DOI icon Guillaumin A, Zanna L. **[Stochastic Deep Learning parameterization of Ocean Momentum Forcing.](https://doi.org/10.1029/2021MS002534)** _Journal of Advances in Modeling Earth Systems_ 2021. - * DOI icon Zanna L, Bolton T. **[Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models.](https://doi.org/10.1002/9781119646181.ch20)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). (author [link](https://laurezanna.github.io/files/Zanna-Bolton-2021.pdf)) -* DOI icon Gentine P, Eyring V, Beucler T. **[Deep Learning for the Parametrization of Subgrid Processes in Climate Models](https://doi.org/10.1002/9781119646181.ch21)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). +* Gentine P, Eyring V, Beucler T. **[Deep Learning for the Parametrization of Subgrid Processes in Climate Models](https://doi.org/10.1002/9781119646181.ch21)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). -* DOI icon Mooers G, Pritchard M, Beucler T, Ott J, Yacalis G, Baldi P, Gentine P. **[Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real-Geography Boundary Conditions.]( https://doi.org/10.1029/2020MS002385)** +* Mooers G, Pritchard M, Beucler T, Ott J, Yacalis G, Baldi P, Gentine P. **[Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models with Real-Geography Boundary Conditions.]( https://doi.org/10.1029/2020MS002385)** _Journal of Advances in Modeling Earth Systems_ 2021 -* DOI icon Beucler T, Pritchard M, Rasp S, Ott J, Baldi P, Gentine P. **[Enforcing analytic constraints in neural networks emulating physical systems.](https://doi.org/10.1103/PhysRevLett.126.098302)** _Physical Review Letters_ 2021. (author [link](https://gentinelab.eee.columbia.edu/sites/default/files/content/PhysRevLett.126.098302.pdf)) +* Beucler T, Pritchard M, Rasp S, Ott J, Baldi P, Gentine P. **[Enforcing analytic constraints in neural networks emulating physical systems.](https://doi.org/10.1103/PhysRevLett.126.098302)** _Physical Review Letters_ 2021. (author [link](https://gentinelab.eee.columbia.edu/sites/default/files/content/PhysRevLett.126.098302.pdf)) -* DOI icon Frezat H, Balarac G, Le Sommer J, Fablet R, Lguensat R. **[Physical invariance in neural networks for subgrid-scale scalar flux modeling.](https://doi.org/10.1103/PhysRevFluids.6.024607)** _Physical Review Fluids_ 2021. (author [link](https://hal.science/hal-03084215/file/2010.04663.pdf)) +* Frezat H, Balarac G, Le Sommer J, Fablet R, Lguensat R. **[Physical invariance in neural networks for subgrid-scale scalar flux modeling.](https://doi.org/10.1103/PhysRevFluids.6.024607)** _Physical Review Fluids_ 2021. (author [link](https://hal.science/hal-03084215/file/2010.04663.pdf)) -* DOI icon O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](https://halo.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) +* O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](https://halo.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) -* DOI icon Yuval J, Hill CN, O'Gorman PA. **[Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision.](https://doi.org/10.1029/2020GL091363)** _Geophysical Research Letter_ 2021. +* Yuval J, Hill CN, O'Gorman PA. **[Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision.](https://doi.org/10.1029/2020GL091363)** _Geophysical Research Letter_ 2021. ### 2020 -* DOI icon Yuval J, O’Gorman PA. **[Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions.](https://doi.org/10.1038/s41467-020-17142-3)** _Nature communications_ 2020. +* Yuval J, O’Gorman PA. **[Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions.](https://doi.org/10.1038/s41467-020-17142-3)** _Nature communications_ 2020. -* DOI icon Zanna L, Bolton T. **[Data‐Driven Equation Discovery of Ocean Mesoscale Closures.](https://doi.org/10.1029/2020GL088376)** _Geophysical Research Letters_ 2020. (author [link](https://laurezanna.github.io/files/Zanna-Bolton-2020.pdf)) +* Zanna L, Bolton T. **[Data‐Driven Equation Discovery of Ocean Mesoscale Closures.](https://doi.org/10.1029/2020GL088376)** _Geophysical Research Letters_ 2020. (author [link](https://laurezanna.github.io/files/Zanna-Bolton-2020.pdf)) -* DOI icon Mohan S, Kadkhodaie Z, Simoncelli EP, Fernandez-Granda C. **[Robust and interpretable blind image denoising via bias-free convolutional neural networks](https://doi.org/10.48550/arXiv.1906.05478)** _ICLR_ 2020. +* Mohan S, Kadkhodaie Z, Simoncelli EP, Fernandez-Granda C. **[Robust and interpretable blind image denoising via bias-free convolutional neural networks](https://doi.org/10.48550/arXiv.1906.05478)** _ICLR_ 2020. ### 2019 -* DOI icon Bolton T, Zanna L. **[Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization.](https://doi.org/10.1029/2018MS001472)** _J Adv Model Earth Syst_ 2019. +* Bolton T, Zanna L. **[Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization.](https://doi.org/10.1029/2018MS001472)** _J Adv Model Earth Syst_ 2019. -* DOI icon Held IM, Guo H, Adcroft A, Dunne JP, Horowitz LW, Krasting J, et al. **[Structure and Performance of GFDL’s CM4.0 Climate Model.](https://doi.org/10.1029/2019MS001829)** _J Adv Model Earth Syst_ 2019. +* Held IM, Guo H, Adcroft A, Dunne JP, Horowitz LW, Krasting J, et al. **[Structure and Performance of GFDL’s CM4.0 Climate Model.](https://doi.org/10.1029/2019MS001829)** _J Adv Model Earth Syst_ 2019. -* DOI icon Niall H. Robinson, Joe Hamman, Ryan Abernathey. **[Seven Principles for Effective Scientific Big-DataSystems.](https://doi.org/10.48550/arXiv.1908.03356)** _ArXiv190803356 Cs_ 2019. +* Niall H. Robinson, Joe Hamman, Ryan Abernathey. **[Seven Principles for Effective Scientific Big-DataSystems.](https://doi.org/10.48550/arXiv.1908.03356)** _ArXiv190803356 Cs_ 2019. -* DOI icon Izacard G, Mohan S, Fernandez-Granda C. **[Data-driven Estimation of Sinusoid Frequencies.](https://doi.org/10.48550/arXiv.1906.00823)** _Advances in Neural Information Processing Systems_ 2019. +* Izacard G, Mohan S, Fernandez-Granda C. **[Data-driven Estimation of Sinusoid Frequencies.](https://doi.org/10.48550/arXiv.1906.00823)** _Advances in Neural Information Processing Systems_ 2019. -* DOI icon Zhao WL, Gentine P, Reichstein M, Zhang Y, Zhou S, Wen Y, et al. **[Physics-constrained machine learning of evapotranspiration.](https://doi.org/10.1029/2019GL085291)** _Geophysical Research Letter_ 2019. (ResearchGate [link](https://www.researchgate.net/publication/337868554_Physics-Constrained_Machine_Learning_of_Evapotranspiration)) +* Zhao WL, Gentine P, Reichstein M, Zhang Y, Zhou S, Wen Y, et al. **[Physics-constrained machine learning of evapotranspiration.](https://doi.org/10.1029/2019GL085291)** _Geophysical Research Letter_ 2019. (ResearchGate [link](https://www.researchgate.net/publication/337868554_Physics-Constrained_Machine_Learning_of_Evapotranspiration)) -* DOI icon Yang T, Sun F, Gentine P, Liu W, Wang H, Yin J, et al. **[Evaluation and machine learning improvement of global hydrological model-based flood simulations.](https://doi.org/10.1088/1748-9326/ab4d5e)** _Environ Res Lett_ 2019. +* Yang T, Sun F, Gentine P, Liu W, Wang H, Yin J, et al. **[Evaluation and machine learning improvement of global hydrological model-based flood simulations.](https://doi.org/10.1088/1748-9326/ab4d5e)** _Environ Res Lett_ 2019. ### 2018 -* DOI icon O’Gorman PA, Dwyer JG. **[Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events.](https://doi.org/10.1029/2018MS001351)** _J Adv Model Earth Syst_ 2018. +* O’Gorman PA, Dwyer JG. **[Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events.](https://doi.org/10.1029/2018MS001351)** _J Adv Model Earth Syst_ 2018. -* DOI icon Gentine P, Pritchard M, Rasp S, Reinaudi G, Yacalis G. **[Could Machine Learning Break the Convection Parameterization Deadlock?](https://doi.org/10.1029/2018GL078202)** _Geophys Res Lett_ 2018. +* Gentine P, Pritchard M, Rasp S, Reinaudi G, Yacalis G. **[Could Machine Learning Break the Convection Parameterization Deadlock?](https://doi.org/10.1029/2018GL078202)** _Geophys Res Lett_ 2018. -* DOI icon Rasp S, Pritchard MS, Gentine P. **[Deep learning to represent subgrid processes in climate models.](https://doi.org/10.1073/pnas.1810286115)** _Proc Natl Acad Sci_ 2018. +* Rasp S, Pritchard MS, Gentine P. **[Deep learning to represent subgrid processes in climate models.](https://doi.org/10.1073/pnas.1810286115)** _Proc Natl Acad Sci_ 2018. -* DOI icon Zanna L, Brankart JM, Huber M, Leroux S, Penduff T, Williams PD. **[Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions.](https://doi.org/10.1002/qj.3397)** _Q J R Meteorol Soc_ 2018. +* Zanna L, Brankart JM, Huber M, Leroux S, Penduff T, Williams PD. **[Uncertainty and scale interactions in ocean ensembles: From seasonal forecasts to multidecadal climate predictions.](https://doi.org/10.1002/qj.3397)** _Q J R Meteorol Soc_ 2018. From 1546b4dcf60752721687fdb6c048dd1d998ae8d2 Mon Sep 17 00:00:00 2001 From: Shubham Gupta Date: Tue, 15 Oct 2024 14:26:55 -0400 Subject: [PATCH 2/3] fix author links --- content/publications/archive/_index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/publications/archive/_index.md b/content/publications/archive/_index.md index 2a387758..07927dbc 100644 --- a/content/publications/archive/_index.md +++ b/content/publications/archive/_index.md @@ -12,7 +12,7 @@ heroBackground: 'images/susan-q-yin-2JIvboGLeho-unsplash.jpg' * DOI icon Guillaumin, A. P., & Zanna, L. **[Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021MS002534)** JAMES 2021 -* DOI icon Zanna L, Bolton T. **[Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models.](https://doi.org/10.1002/9781119646181.ch20)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). (author [link](https://laurezanna.github.io/files/Zanna-Bolton-2021.pdf)) +* DOI icon Zanna L, Bolton T. **[Deep Learning of Unresolved Turbulent Ocean Processes in Climate Models.](https://doi.org/10.1002/9781119646181.ch20)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). (author [link](https://zanna-research.github.io/files/Zanna-Bolton-2021.pdf)) * Gentine P, Eyring V, Beucler T. **[Deep Learning for the Parametrization of Subgrid Processes in Climate Models](https://doi.org/10.1002/9781119646181.ch21)** In _Deep learning for the Earth Sciences_ 2021 (eds G. Camps-Valls, D. Tuia, X.X. Zhu and M. Reichstein). @@ -23,7 +23,7 @@ heroBackground: 'images/susan-q-yin-2JIvboGLeho-unsplash.jpg' * Frezat H, Balarac G, Le Sommer J, Fablet R, Lguensat R. **[Physical invariance in neural networks for subgrid-scale scalar flux modeling.](https://doi.org/10.1103/PhysRevFluids.6.024607)** _Physical Review Fluids_ 2021. (author [link](https://hal.science/hal-03084215/file/2010.04663.pdf)) -* O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](https://halo.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) +* O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](hhttps://pog.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) * Yuval J, Hill CN, O'Gorman PA. **[Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision.](https://doi.org/10.1029/2020GL091363)** _Geophysical Research Letter_ 2021. @@ -31,7 +31,7 @@ heroBackground: 'images/susan-q-yin-2JIvboGLeho-unsplash.jpg' * Yuval J, O’Gorman PA. **[Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions.](https://doi.org/10.1038/s41467-020-17142-3)** _Nature communications_ 2020. -* Zanna L, Bolton T. **[Data‐Driven Equation Discovery of Ocean Mesoscale Closures.](https://doi.org/10.1029/2020GL088376)** _Geophysical Research Letters_ 2020. (author [link](https://laurezanna.github.io/files/Zanna-Bolton-2020.pdf)) +* Zanna L, Bolton T. **[Data‐Driven Equation Discovery of Ocean Mesoscale Closures.](https://doi.org/10.1029/2020GL088376)** _Geophysical Research Letters_ 2020. (author [link](https://zanna-research.github.io/files/Zanna-Bolton-2020.pdf)) * Mohan S, Kadkhodaie Z, Simoncelli EP, Fernandez-Granda C. **[Robust and interpretable blind image denoising via bias-free convolutional neural networks](https://doi.org/10.48550/arXiv.1906.05478)** _ICLR_ 2020. From 81e14ec07c29e07ef17edd3afffefd7ecf06bb88 Mon Sep 17 00:00:00 2001 From: Shubham Gupta Date: Tue, 15 Oct 2024 14:28:41 -0400 Subject: [PATCH 3/3] typo fix --- content/publications/archive/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/publications/archive/_index.md b/content/publications/archive/_index.md index 07927dbc..56bd5c73 100644 --- a/content/publications/archive/_index.md +++ b/content/publications/archive/_index.md @@ -23,7 +23,7 @@ heroBackground: 'images/susan-q-yin-2JIvboGLeho-unsplash.jpg' * Frezat H, Balarac G, Le Sommer J, Fablet R, Lguensat R. **[Physical invariance in neural networks for subgrid-scale scalar flux modeling.](https://doi.org/10.1103/PhysRevFluids.6.024607)** _Physical Review Fluids_ 2021. (author [link](https://hal.science/hal-03084215/file/2010.04663.pdf)) -* O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](hhttps://pog.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) +* O’Gorman PA, Li Z, Boos WR, Yuval J. **[Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.](https://doi.org/10.1098/rsta.2019.0543)** _Philosophical Transactions of the Royal Society A_ 2021. (author [link](https://pog.mit.edu/src/ogorman_quasi_global_hires_precip_extremes_2021.pdf)) * Yuval J, Hill CN, O'Gorman PA. **[Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision.](https://doi.org/10.1029/2020GL091363)** _Geophysical Research Letter_ 2021.