Articles | Volume 15, issue 21
https://doi.org/10.5194/gmd-15-8041-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8041-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
07 Nov 2022
Model experiment description paper |
| 07 Nov 2022
| 07 Nov 2022
Wind work at the air-sea interface: a modeling study in anticipation of future space missions
Hector S. Torres
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Patrice Klein
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA
LMD/IPSL, CNRS, Ecole Normale Supérieure, PSL Research University, 75005 Paris, France
Jinbo Wang
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Alexander Wineteer
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Bo Qiu
University of Hawaii, Honolulu, HI, USA
Andrew F. Thompson
Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA
Lionel Renault
LEGOS, University of Toulouse, IRD, CNRS, CNES, UPS, Toulouse, France
Ernesto Rodriguez
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Dimitris Menemenlis
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Andrea Molod
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Christopher N. Hill
Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Boston, MA, USA
Ehud Strobach
Agricultural Research Organization, Rishon LeZion, Israel
Hong Zhang
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Mar Flexas
Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA
Dragana Perkovic-Martin
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
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This paper introduces an approach to evaluate numerical models of ocean circulation. We compare the structure of satellite-derived sea surface temperature anomaly (SSTa) instances determined by a machine learning algorithm at 10–80 km scales to those output by a high-resolution MITgcm run. The simulation over much of the ocean reproduces the observed distribution of SSTa patterns well. This general agreement, alongside a few notable exceptions, highlights the potential of this approach.
Elisa Carli, Rosemary Morrow, Oscar Vergara, Robin Chevrier, and Lionel Renault
Ocean Sci., 19, 1413–1435, https://doi.org/10.5194/os-19-1413-2023, https://doi.org/10.5194/os-19-1413-2023, 2023
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Bror F. Jönsson, Christopher L. Follett, Jacob Bien, Stephanie Dutkiewicz, Sangwon Hyun, Gemma Kulk, Gael L. Forget, Christian Müller, Marie-Fanny Racault, Christopher N. Hill, Thomas Jackson, and Shubha Sathyendranath
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Elias C. Massoud, Lauren Andrews, Rolf Reichle, Andrea Molod, Jongmin Park, Sophie Ruehr, and Manuela Girotto
Earth Syst. Dynam., 14, 147–171, https://doi.org/10.5194/esd-14-147-2023, https://doi.org/10.5194/esd-14-147-2023, 2023
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In this study, we benchmark the forecast skill of the NASA’s Goddard Earth Observing System subseasonal-to-seasonal (GEOS-S2S version 2) hydrometeorological forecasts in the High Mountain Asia (HMA) region. Hydrometeorological forecast skill is dependent on the forecast lead time, the memory of the variable within the physical system, and the validation dataset used. Overall, these results benchmark the GEOS-S2S system’s ability to forecast HMA hydrometeorology on the seasonal timescale.
Zhijin Li, Matthew R. Archer, Jinbo Wang, and Lee-Lueng Fu
EGUsphere, https://doi.org/10.5194/egusphere-2022-1399, https://doi.org/10.5194/egusphere-2022-1399, 2022
Preprint archived
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The Surface Water and Ocean Topography (SWOT) satellite mission will carry a new-generation altimeter to measure sea surface height in two-dimensions at unprecedented spatial resolution. An integration of SWOT measurements into an oceanic numerical model will improve our oceanic prediction in spatial resolution and accuracy. It has been demonstrated that the methodology used is ready to integrate SWOT measurements into the model, and the result may be used to interpret SWOT measurements.
Vincent Verjans, Alexander A. Robel, Helene Seroussi, Lizz Ultee, and Andrew F. Thompson
Geosci. Model Dev., 15, 8269–8293, https://doi.org/10.5194/gmd-15-8269-2022, https://doi.org/10.5194/gmd-15-8269-2022, 2022
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We describe the development of the first large-scale ice sheet model that accounts for stochasticity in a range of processes. Stochasticity allows the impacts of inherently uncertain processes on ice sheets to be represented. This includes climatic uncertainty, as the climate is inherently chaotic. Furthermore, stochastic capabilities also encompass poorly constrained glaciological processes that display strong variability at fine spatiotemporal scales. We present the model and test experiments.
Ehud Strobach, Andrea Molod, Donifan Barahona, Atanas Trayanov, Dimitris Menemenlis, and Gael Forget
Geosci. Model Dev., 15, 2309–2324, https://doi.org/10.5194/gmd-15-2309-2022, https://doi.org/10.5194/gmd-15-2309-2022, 2022
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The Green's functions methodology offers a systematic, easy-to-implement, computationally cheap, scalable, and extendable method to tune uncertain parameters in models accounting for the dependent response of the model to a change in various parameters. Herein, we successfully show for the first time that long-term errors in earth system models can be considerably reduced using Green's functions methodology. The method can be easily applied to any model containing uncertain parameters.
Olivier Sulpis, Matthew P. Humphreys, Monica M. Wilhelmus, Dustin Carroll, William M. Berelson, Dimitris Menemenlis, Jack J. Middelburg, and Jess F. Adkins
Geosci. Model Dev., 15, 2105–2131, https://doi.org/10.5194/gmd-15-2105-2022, https://doi.org/10.5194/gmd-15-2105-2022, 2022
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A quarter of the surface of the Earth is covered by marine sediments rich in calcium carbonates, and their dissolution acts as a giant antacid tablet protecting the ocean against human-made acidification caused by massive CO2 emissions. Here, we present a new model of sediment chemistry that incorporates the latest experimental findings on calcium carbonate dissolution kinetics. This model can be used to predict how marine sediments evolve through time in response to environmental perturbations.
Marion Kersalé, Denis L. Volkov, Kandaga Pujiana, and Hong Zhang
Ocean Sci., 18, 193–212, https://doi.org/10.5194/os-18-193-2022, https://doi.org/10.5194/os-18-193-2022, 2022
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The southern Indian Ocean is one of the major basins for regional heat accumulation and sea level rise. The year-to-year changes of regional sea level are influenced by water exchange with the Pacific Ocean via the Indonesian Throughflow. Using a general circulation model, we show that the spatiotemporal pattern of these changes is primarily set by local wind forcing modulated by El Niño–Southern Oscillation, while oceanic signals originating in the Pacific can amplify locally forced signals.
Zhijin Li, Matthew Archer, Jinbo Wang, and Lee-Lueng Fu
Ocean Sci. Discuss., https://doi.org/10.5194/os-2021-89, https://doi.org/10.5194/os-2021-89, 2021
Preprint withdrawn
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We developed a data assimilation (DA) system coupled to a high-resolution model of the California Current region. This three-dimensional variational DA system has been extended to effectively assimilate a longer window of high-density ocean observations, in anticipation of the upcoming SWOT (surface water and ocean topography) satellite mission. The new era of swath-altimetry ushered in by SWOT will challenge existing DA systems, and this study presents a first approach to this challenge.
Ryan Schubert, Andrew F. Thompson, Kevin Speer, Lena Schulze Chretien, and Yana Bebieva
The Cryosphere, 15, 4179–4199, https://doi.org/10.5194/tc-15-4179-2021, https://doi.org/10.5194/tc-15-4179-2021, 2021
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The Antarctic Coastal Current (AACC) is an ocean current found along the coast of Antarctica. Using measurements of temperature and salinity collected by instrumented seals, the AACC is shown to be a continuous circulation feature throughout West Antarctica. Due to its proximity to the coast, the AACC's structure influences oceanic melting of West Antarctic ice shelves. These melt rates impact the stability of the West Antarctic Ice Sheet with global implications for future sea level change.
Bjorn Stevens, Sandrine Bony, David Farrell, Felix Ament, Alan Blyth, Christopher Fairall, Johannes Karstensen, Patricia K. Quinn, Sabrina Speich, Claudia Acquistapace, Franziska Aemisegger, Anna Lea Albright, Hugo Bellenger, Eberhard Bodenschatz, Kathy-Ann Caesar, Rebecca Chewitt-Lucas, Gijs de Boer, Julien Delanoë, Leif Denby, Florian Ewald, Benjamin Fildier, Marvin Forde, Geet George, Silke Gross, Martin Hagen, Andrea Hausold, Karen J. Heywood, Lutz Hirsch, Marek Jacob, Friedhelm Jansen, Stefan Kinne, Daniel Klocke, Tobias Kölling, Heike Konow, Marie Lothon, Wiebke Mohr, Ann Kristin Naumann, Louise Nuijens, Léa Olivier, Robert Pincus, Mira Pöhlker, Gilles Reverdin, Gregory Roberts, Sabrina Schnitt, Hauke Schulz, A. Pier Siebesma, Claudia Christine Stephan, Peter Sullivan, Ludovic Touzé-Peiffer, Jessica Vial, Raphaela Vogel, Paquita Zuidema, Nicola Alexander, Lyndon Alves, Sophian Arixi, Hamish Asmath, Gholamhossein Bagheri, Katharina Baier, Adriana Bailey, Dariusz Baranowski, Alexandre Baron, Sébastien Barrau, Paul A. Barrett, Frédéric Batier, Andreas Behrendt, Arne Bendinger, Florent Beucher, Sebastien Bigorre, Edmund Blades, Peter Blossey, Olivier Bock, Steven Böing, Pierre Bosser, Denis Bourras, Pascale Bouruet-Aubertot, Keith Bower, Pierre Branellec, Hubert Branger, Michal Brennek, Alan Brewer, Pierre-Etienne Brilouet, Björn Brügmann, Stefan A. Buehler, Elmo Burke, Ralph Burton, Radiance Calmer, Jean-Christophe Canonici, Xavier Carton, Gregory Cato Jr., Jude Andre Charles, Patrick Chazette, Yanxu Chen, Michal T. Chilinski, Thomas Choularton, Patrick Chuang, Shamal Clarke, Hugh Coe, Céline Cornet, Pierre Coutris, Fleur Couvreux, Susanne Crewell, Timothy Cronin, Zhiqiang Cui, Yannis Cuypers, Alton Daley, Gillian M. Damerell, Thibaut Dauhut, Hartwig Deneke, Jean-Philippe Desbios, Steffen Dörner, Sebastian Donner, Vincent Douet, Kyla Drushka, Marina Dütsch, André Ehrlich, Kerry Emanuel, Alexandros Emmanouilidis, Jean-Claude Etienne, Sheryl Etienne-Leblanc, Ghislain Faure, Graham Feingold, Luca Ferrero, Andreas Fix, Cyrille Flamant, Piotr Jacek Flatau, Gregory R. Foltz, Linda Forster, Iulian Furtuna, Alan Gadian, Joseph Galewsky, Martin Gallagher, Peter Gallimore, Cassandra Gaston, Chelle Gentemann, Nicolas Geyskens, Andreas Giez, John Gollop, Isabelle Gouirand, Christophe Gourbeyre, Dörte de Graaf, Geiske E. de Groot, Robert Grosz, Johannes Güttler, Manuel Gutleben, Kashawn Hall, George Harris, Kevin C. Helfer, Dean Henze, Calvert Herbert, Bruna Holanda, Antonio Ibanez-Landeta, Janet Intrieri, Suneil Iyer, Fabrice Julien, Heike Kalesse, Jan Kazil, Alexander Kellman, Abiel T. Kidane, Ulrike Kirchner, Marcus Klingebiel, Mareike Körner, Leslie Ann Kremper, Jan Kretzschmar, Ovid Krüger, Wojciech Kumala, Armin Kurz, Pierre L'Hégaret, Matthieu Labaste, Tom Lachlan-Cope, Arlene Laing, Peter Landschützer, Theresa Lang, Diego Lange, Ingo Lange, Clément Laplace, Gauke Lavik, Rémi Laxenaire, Caroline Le Bihan, Mason Leandro, Nathalie Lefevre, Marius Lena, Donald Lenschow, Qiang Li, Gary Lloyd, Sebastian Los, Niccolò Losi, Oscar Lovell, Christopher Luneau, Przemyslaw Makuch, Szymon Malinowski, Gaston Manta, Eleni Marinou, Nicholas Marsden, Sebastien Masson, Nicolas Maury, Bernhard Mayer, Margarette Mayers-Als, Christophe Mazel, Wayne McGeary, James C. McWilliams, Mario Mech, Melina Mehlmann, Agostino Niyonkuru Meroni, Theresa Mieslinger, Andreas Minikin, Peter Minnett, Gregor Möller, Yanmichel Morfa Avalos, Caroline Muller, Ionela Musat, Anna Napoli, Almuth Neuberger, Christophe Noisel, David Noone, Freja Nordsiek, Jakub L. Nowak, Lothar Oswald, Douglas J. Parker, Carolyn Peck, Renaud Person, Miriam Philippi, Albert Plueddemann, Christopher Pöhlker, Veronika Pörtge, Ulrich Pöschl, Lawrence Pologne, Michał Posyniak, Marc Prange, Estefanía Quiñones Meléndez, Jule Radtke, Karim Ramage, Jens Reimann, Lionel Renault, Klaus Reus, Ashford Reyes, Joachim Ribbe, Maximilian Ringel, Markus Ritschel, Cesar B. Rocha, Nicolas Rochetin, Johannes Röttenbacher, Callum Rollo, Haley Royer, Pauline Sadoulet, Leo Saffin, Sanola Sandiford, Irina Sandu, Michael Schäfer, Vera Schemann, Imke Schirmacher, Oliver Schlenczek, Jerome Schmidt, Marcel Schröder, Alfons Schwarzenboeck, Andrea Sealy, Christoph J. Senff, Ilya Serikov, Samkeyat Shohan, Elizabeth Siddle, Alexander Smirnov, Florian Späth, Branden Spooner, M. Katharina Stolla, Wojciech Szkółka, Simon P. de Szoeke, Stéphane Tarot, Eleni Tetoni, Elizabeth Thompson, Jim Thomson, Lorenzo Tomassini, Julien Totems, Alma Anna Ubele, Leonie Villiger, Jan von Arx, Thomas Wagner, Andi Walther, Ben Webber, Manfred Wendisch, Shanice Whitehall, Anton Wiltshire, Allison A. Wing, Martin Wirth, Jonathan Wiskandt, Kevin Wolf, Ludwig Worbes, Ethan Wright, Volker Wulfmeyer, Shanea Young, Chidong Zhang, Dongxiao Zhang, Florian Ziemen, Tobias Zinner, and Martin Zöger
Earth Syst. Sci. Data, 13, 4067–4119, https://doi.org/10.5194/essd-13-4067-2021, https://doi.org/10.5194/essd-13-4067-2021, 2021
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The EUREC4A field campaign, designed to test hypothesized mechanisms by which clouds respond to warming and benchmark next-generation Earth-system models, is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. It was the first campaign that attempted to characterize the full range of processes and scales influencing trade wind clouds.
Yoshihiro Nakayama, Dimitris Menemenlis, Ou Wang, Hong Zhang, Ian Fenty, and An T. Nguyen
Geosci. Model Dev., 14, 4909–4924, https://doi.org/10.5194/gmd-14-4909-2021, https://doi.org/10.5194/gmd-14-4909-2021, 2021
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High ice shelf melting in the Amundsen Sea has attracted many observational campaigns in the past decade. One method to combine observations with numerical models is the adjoint method. After 20 iterations, the cost function, defined as a sum of the weighted model–data difference, is reduced by 65 % by adjusting initial conditions, atmospheric forcing, and vertical diffusivity. This study demonstrates adjoint-method optimization with explicit representation of ice shelf cavity circulation.
Yang Feng, Dimitris Menemenlis, Huijie Xue, Hong Zhang, Dustin Carroll, Yan Du, and Hui Wu
Geosci. Model Dev., 14, 1801–1819, https://doi.org/10.5194/gmd-14-1801-2021, https://doi.org/10.5194/gmd-14-1801-2021, 2021
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Simulation of coastal plume regions was improved in global ECCOv4 with a series of sensitivity tests. We find modeled SSS is closer to SMAP when using daily point-source runoff as well as increasing the resolution from coarse to intermediate. The plume characteristics, freshwater transport, and critical water properties are modified greatly. But this may not happen with a further increase to high resolution. The study will advance the seamless modeling of land–ocean–atmosphere feedback in ESMs.
Junjie Liu, Latha Baskaran, Kevin Bowman, David Schimel, A. Anthony Bloom, Nicholas C. Parazoo, Tomohiro Oda, Dustin Carroll, Dimitris Menemenlis, Joanna Joiner, Roisin Commane, Bruce Daube, Lucianna V. Gatti, Kathryn McKain, John Miller, Britton B. Stephens, Colm Sweeney, and Steven Wofsy
Earth Syst. Sci. Data, 13, 299–330, https://doi.org/10.5194/essd-13-299-2021, https://doi.org/10.5194/essd-13-299-2021, 2021
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On average, the terrestrial biosphere carbon sink is equivalent to ~ 20 % of fossil fuel emissions. Understanding where and why the terrestrial biosphere absorbs carbon from the atmosphere is pivotal to any mitigation policy. Here we present a regionally resolved satellite-constrained net biosphere exchange (NBE) dataset with corresponding uncertainties between 2010–2018: CMS-Flux NBE 2020. The dataset provides a unique perspective on monitoring regional contributions to the CO2 growth rate.
Cited articles
Aluie, H.: Convolutions on the sphere: commutation with differential operators,
GEM – International Journal on Geomathematics, 10, 1–31, 2019. a
Arbic, B. K., Alford, M. H., Ansong, J. K., Buijsman, M. C., Ciotti, R. B.,
Farrar, J. T., Hallberg, R. W., Henze, C. E., Hill, C. N., Luecke, C. A.,
Menemenlis, D., Metzger, E. J., Müeller, M., Nelson, A. D., Nelson,
B. C., Ngodock, H. E., Ponte, R. M., Richman, J. G., Savage, A. C., Scott,
R. B., Shriver, J. F., Simmons, H. L., Souopgui, I., Timko, P. G., Wallcraft,
A. J., Zamudio, L., and Zhao, Z.: A Primer on Global Internal Tide and
Internal Gravity Wave Continuum Modeling in HYCOM and MITgcm, in: New
Frontiers in Operational Oceanography, edited by: Chassignet, E. P., Pascual,
A., Tintoré, J., and Verron, J., chap. 13, GODAE
OceanView, 307–392, https://doi.org/10.17125/gov2018.ch13, 2018. a
Callies, J., Ferrari, R., Klymak, J. M., and Gula, J.: Seasonality in
submesoscale turbulence, Nat. Commun., 6, 6862, https://doi.org/10.1038/ncomms7862, 2015. a
Chassignet, E. P. and Xu, X.: Impact of horizontal resolution (1/12 to 1/50) on
Gulf Stream separation, penetration, and variability, J. Phys.
Oceanogr., 47, 1999–2021, 2017. a
Chen, R., Flierl, G. R., and Wunsch, C.: A description of local and nonlocal
eddy–mean flow interaction in a global eddy-permitting state estimate,
J. Phys. Oceanogr., 44, 2336–2352, 2014. a
Clarke, R.: Observational studies in the atmospheric boundary layer, Q.
J. Roy. Meteor. Soc., 96, 91–114, 1970. a
Du, Y., Dong, X., Jiang, X., Zhang, Y., Zhu, D., Sun, Q., Wang, Z., Niu, X.,
Chen, W., Zhu, C., Jing, Z., Tang, S., Li, Y., Chen, J., Chu, X., Xu, C., Wang, T., He, Y., and Peng, S.: Ocean surface current multiscale observation
mission (OSCOM): Simultaneous measurement of ocean surface current, vector
wind, and temperature, Prog. Oceanogr., 193, 102531, https://doi.org/10.1016/j.pocean.2021.102531, 2021. a
Eden, C. and Dietze, H.: Effects of mesoscale eddy/wind interactions on
biological new production and eddy kinetic energy, J. Geophys.
Res.-Oceans, 114, C05023, https://doi.org/10.1029/2008JC005129, 2009. a, b, c, d
Ferrari, R. and Wunsch, C.: Ocean circulation kinetic energy: Reservoirs,
sources, and sinks, Annu. Rev. Fluid Mech., 41, 253–282, https://doi.org/10.1146/annurev.fluid.40.111406.102139, 2009. a
Flexas, M. M., Thompson, A. F., Torres, H. S., Klein, P., Farrar, J. T., Zhang,
H., and Menemenlis, D.: Global Estimates of the Energy Transfer From the Wind
to the Ocean, With Emphasis on Near-Inertial Oscillations, J.
Geophys. Res.-Oceans, 124, 5723–5746, https://doi.org/10.1029/2018JC014453,
2019. a, b
Fu, L.-L. and Ferrari, R.: Observing oceanic submesoscale processes from space,
Eos, T. Am. Geophys. Un., 89, 488–488, 2008. a
Garfinkel, C. I., Molod, A. M., Oman, L. D., and Song, I.-S.: Improvement of
the GEOS-5 AGCM upon updating the air-sea roughness parameterization,
Geophys. Res. Lett., 38, l18702, https://doi.org/10.1029/2011GL048802,
2011. a, b
Helfand, H. M. and Schubert, S. D.: Climatology of the Simulated Great Plains
Low-Level Jet and Its Contribution to the Continental Moisture Budget of the
United States, J. Climate, 8, 784–806,
https://doi.org/10.1175/1520-0442(1995)008<0784:COTSGP>2.0.CO;2, 1995. a, b
Klein, P., Lapeyre, G., and Large, W.: Wind ringing of the ocean in presence of
mesoscale eddies, Geophys. Res. Lett., 31, L15306, https://doi.org/10.1029/2004GL020274, 2004. a, b, c
Klein, P., Lapeyre, G., Siegelman, L., Qiu, B., Fu, L.-L., Torres, H., Su, Z.,
Menemenlis, D., and Le Gentil, S.: Ocean-Scale Interactions From Space, Earth
Space Sci., 6, 795–817, https://doi.org/10.1029/2018EA000492, 2019. a, b
Komori, N., Ohfuchi, W., Taguchi, B., Sasaki, H., and Klein, P.: Deep ocean
inertia-gravity waves simulated in a high-resolution global coupled
atmosphere–ocean GCM, Geophys. Res. Lett., 35, L04610, https://doi.org/10.1029/2007GL032807, 2008. a
Kondo, J.: Air-sea bulk transfer coefficients in diabatic conditions,
Bound.-Lay. Meteorol., 9, 91–112, 1975. a
Large, W. and Pond, S.: Open ocean momentum flux measurements in moderate to
strong winds, J. Phys. Oceanogr., 11, 324–336, 1981. a
Large, W. G. and Yeager, S. G.: Diurnal to decadal global forcing for ocean and
sea-ice models: The data sets and flux climatologies, NCAR Tech Note
NCAR/TN-460+STR, 434, Boulder, Colo. Natl. Cent. for Atmos. Res., 2004. a
Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: A
review and a model with a nonlocal boundary layer parameterization, Rev.
Geophys., 32, 363–403, 1994. a
Laurindo, L. C., Mariano, A. J., and Lumpkin, R.: An improved near-surface
velocity climatology for the global ocean from drifter observations, Deep-Sea
Res. Pt. I, 124, 73–92, 2017. a
Lawrence, A. and Callies, J.: Seasonality and spatial dependence of meso-and
submesoscale ocean currents from along-track satellite altimetry, J.
Phys. Oceanogr., 52, 2069–2089, https://doi.org/10.1175/JPO-D-22-0007.1, 2022. a
Maximenko, N. A., Bang, B., and Sasaki, H.: Observational evidence of
alternating zonal jets in the world ocean, Geophys. Res. Lett., 32, 2069–2089, https://doi.org/10.1175/JPO-D-22-0007.1,
2005. a
Maximenko, N. A., Oleg, V., M., Pearn, P., N., and Hideharu, S.: Stationary
mesoscale jet-like features in the ocean, Geophys. Res. Lett., 35, L08603, https://doi.org/10.1029/2008GL033267,
2008. a, b, c
Molod, A., Suarez, M., and Partyka, G.: The impact of limiting ocean roughness
on GEOS-5 AGCM tropical cyclone forecasts, Geophys. Res. Lett., 40,
411–416, https://doi.org/10.1029/2012GL053979, 2013. a, b
Molod, A., Takacs, L., Suarez, M., and Bacmeister, J.: Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2, Geosci. Model Dev., 8, 1339–1356, https://doi.org/10.5194/gmd-8-1339-2015, 2015. a
NASA Goddard Space Flight Center: GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled, https://portal.nccs.nasa.gov/datashare/G5NR/DYAMONDv2/GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled/GEOSgcm_output/ last access: 28 October 2022. a
Nikurashin, M., Vallis, G. K., and Adcroft, A.: Routes to energy dissipation
for geostrophic flows in the Southern Ocean, Nat. Geosci., 6, 48–51,
2013. a
Panofsky, H. A., Tennekes, H., Lenschow, D. H., and Wyngaard, J.: The
characteristics of turbulent velocity components in the surface layer under
convective conditions, Bound.-Lay. Meteorol., 11, 355–361, 1977. a
Polzin, K. L. and Lvov, Y. V.: Toward regional characterizations of the oceanic
internal wavefield, Rev. Geophys., 49, RG4003, https://doi.org/10.1029/2010RG000329, 2011. a
Qiu, B., Chen, S., Klein, P., Sasaki, H., and Sasai, Y.: Seasonal mesoscale and
submesoscale eddy variability along the North Pacific Subtropical
Countercurrent, J. Phys. Oceanogr., 44, 3079–3098, 2014. a
Qiu, B., Nakano, T., Chen, S., and Klein, P.: Submesoscale transition from
geostrophic flows to internal waves in the northwestern Pacific upper ocean,
Nat. Commun., 8, 1–10, 2017. a
Renault, L., McWilliams, J. C., and Masson, S.: Satellite observations of
imprint of oceanic current on wind stress by air-sea coupling, Sci.
Rep., 7, 1–7, 2017. a
Renault, L., McWilliams, J., and Gula, J.: Dampening of Submesoscale Currents
by Air-Sea Stress Coupling in the Californian Upwelling System, Sci.
Rep., 8, 13388, https://doi.org/10.1038/s41598-018-31602-3, 2018. a, b, c
Renault, L., Masson, S., Arsouze, T., Madec, G., and Mcwilliams, J. C.: Recipes
for how to force oceanic model dynamics, J. Adv. Model.
Earth Sy., 12, e2019MS001715, https://doi.org/10.1029/2019MS001715, 2020. a
Rimac, A., von Storch, J.-S., Eden, C., and Haak, H.: The influence of
high-resolution wind stress field on the power input to near-inertial motions
in the ocean, Geophys. Res. Lett., 40, 4882–4886, 2013. a
Rocha, C. B., Gille, S. T., Chereskin, T. K., and Menemenlis, D.: Seasonality
of submesoscale dynamics in the Kuroshio Extension, Geophys. Res.
Lett., 43, 11–304, 2016. a
Rodríguez, E., Bourassa, M., Chelton, D., Farrar, J. T., Long, D.,
Perkovic-Martin, D., and Samelson, R.: The winds and currents mission
concept, Front. Mar. Sci., 6, https://doi.org/10.3389/fmars.2019.00438, 2019. a
Sasaki, H., Klein, P., Qiu, B., and Sasai, Y.: Impact of oceanic-scale
interactions on the seasonal modulation of ocean dynamics by the atmosphere,
Nat. Commun., 5, ncomms6636, https://doi.org/10.1038/ncomms6636, 2014. a, b
Stevens, B., Satoh, M., Auger, L., Biercamp, J., Bretherton, C. S., Chen, X.,
Düben, P., Judt, F., Khairoutdinov, M., Klocke, D., Kodama, C.,
Kornblueh, L., Lin, S.-J., Neumann, P., Putman, W. M., Röber, N.,
Shibuya, R., Vanniere, B., Vidale, P. L., Wedi, N., and Zhou, L.: DYAMOND:
the DYnamics of the Atmospheric general circulation Modeled On
Non-hydrostatic Domains, Prog. Earth Pl. Sci., 6, 61,
https://doi.org/10.1186/s40645-019-0304-z, 2019.
a
Strobach, E., Molod, A., Trayanov, A., Forget, G., Campin, J.-M., Hill, C., and
Menemenlis, D.: Three-to-Six-Day Air–Sea Oscillation in Models and
Observations, Geophys. Res. Lett., 47, e2019GL085837,
https://doi.org/10.1029/2019GL085837, 2020. a, b
Strobach, E., Klein, P., Molod, A., Fahad, A. A., Trayanov, A., Menemenlis, D.,
and Torres, H.: Local Air‐Sea Interactions at Ocean Mesoscale and
Submesoscale in a Western Boundary Current, Geophys. Res. Lett.,
49, 1–10, https://doi.org/10.1029/2021GL097003, 2022. a
Su, Z., Wang, J., Klein, P., Thompson, A. F., and Menemenlis, D.: Ocean
submesoscales as a key component of the global heat budget, Nat.
Commun., 9, 775, https://doi.org/10.1038/s41467-018-02983-w, 2018. a
Torres, H.: Wind work at the air-sea interface: A Modeling Study in Anticipation of Future Space Missions, Zenodo [code], https://doi.org/10.5281/zenodo.6686083, 2022. a
Torres, H.: Wind work at the air-sea interface: A Modeling Study in Anticipation of Future Space Missions, Zenodo [data set], https://doi.org/10.5281/zenodo.6478679, 2022b. a, b, c, d
Wang, J., Fu, L.-L., Torres, H., Chen, S., Qiu, B., and Menemenlis, D.: On the
spatial scale to be resolved by the surface water and ocean topography
Ka-band fadar interferometer, J. Atmos. Ocean. Tech.,
36, 87–99, 2019. a
Watanabe, M. and Hibiya, T.: Global estimates of the wind-induced energy flux
to inertial motions in the surface mixed layer, Geophys. Res. Lett.,
29, 9, https://doi.org/10.1029/2001GL014422, 2002. a
Yaglom, A. and Kader, B.: Heat and mass transfer between a rough wall and
turbulent fluid flow at high Reynolds and Peclet numbers, J. Fluid
Mech., 62, 601–623, 1974. a
Yang, H., Wu, L., Chang, P., Qiu, B., Jing, Z., Zhang, Q., and Chen, Z.:
Mesoscale Energy Balance and Air–Sea Interaction in the Kuroshio Extension:
Low-Frequency versus High-Frequency Variability, J. Phys.
Oceanogr., 51, 895–910, 2021. a
Yu, Z. and Metzger, E. J.: The impact of ocean surface currents on global eddy
kinetic energy via the wind stress formulation, Ocean Model., 139,
101399, https://doi.org/10.1016/j.ocemod.2019.05.003, 2019. a, b
Zhai, X.: Dependence of energy flux from the wind to surface inertial currents
on the scale of atmospheric motions, J. Phys. Oceanogr., 47,
2711–2719, 2017. a
Short summary
Wind work at the air-sea interface is the scalar product of winds and currents and is the transfer of kinetic energy between the ocean and the atmosphere. Using a new global coupled ocean-atmosphere simulation performed at kilometer resolution, we show that all scales of winds and currents impact the ocean dynamics at spatial and temporal scales. The consequential interplay of surface winds and currents in the numerical simulation motivates the need for a winds and currents satellite mission.
Wind work at the air-sea interface is the scalar product of winds and currents and is the...
