Volume 15, issue 9

Volume 15, issue 9

04 May 2022
Empirical values and assumptions in the convection schemes of numerical models
Anahí Villalba-Pradas and Francisco J. Tapiador
Geosci. Model Dev., 15, 3447–3518, https://doi.org/10.5194/gmd-15-3447-2022,https://doi.org/10.5194/gmd-15-3447-2022, 2022
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05 May 2022
Nested leave-two-out cross-validation for the optimal crop yield model selection
Thi Lan Anh Dinh and Filipe Aires
Geosci. Model Dev., 15, 3519–3535, https://doi.org/10.5194/gmd-15-3519-2022,https://doi.org/10.5194/gmd-15-3519-2022, 2022
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05 May 2022
A derivative-free optimisation method for global ocean biogeochemical models
Sophy Oliver, Coralia Cartis, Iris Kriest, Simon F. B Tett, and Samar Khatiwala
Geosci. Model Dev., 15, 3537–3554, https://doi.org/10.5194/gmd-15-3537-2022,https://doi.org/10.5194/gmd-15-3537-2022, 2022
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05 May 2022
An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application
Haibo Wang, Ting Yang, Zifa Wang, Jianjun Li, Wenxuan Chai, Guigang Tang, Lei Kong, and Xueshun Chen
Geosci. Model Dev., 15, 3555–3585, https://doi.org/10.5194/gmd-15-3555-2022,https://doi.org/10.5194/gmd-15-3555-2022, 2022
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05 May 2022
Earth system modeling of mercury using CESM2 – Part 1: Atmospheric model CAM6-Chem/Hg v1.0
Peng Zhang and Yanxu Zhang
Geosci. Model Dev., 15, 3587–3601, https://doi.org/10.5194/gmd-15-3587-2022,https://doi.org/10.5194/gmd-15-3587-2022, 2022
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06 May 2022
Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
Noah D. Smith, Eleanor J. Burke, Kjetil Schanke Aas, Inge H. J. Althuizen, Julia Boike, Casper Tai Christiansen, Bernd Etzelmüller, Thomas Friborg, Hanna Lee, Heather Rumbold, Rachael H. Turton, Sebastian Westermann, and Sarah E. Chadburn
Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022,https://doi.org/10.5194/gmd-15-3603-2022, 2022
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09 May 2022
Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, and Sally Cripps
Geosci. Model Dev., 15, 3641–3662, https://doi.org/10.5194/gmd-15-3641-2022,https://doi.org/10.5194/gmd-15-3641-2022, 2022
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09 May 2022
Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model
Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis, Mario Acosta, Shupeng Zhu, Donald Dabdub, Andrew Conley, Matthew West, Nicole Riemer, and Oriol Jorba
Geosci. Model Dev., 15, 3663–3689, https://doi.org/10.5194/gmd-15-3663-2022,https://doi.org/10.5194/gmd-15-3663-2022, 2022
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10 May 2022
GREB-ISM v1.0: A coupled ice sheet model for the Globally Resolved Energy Balance model for global simulations on timescales of 100 kyr
Zhiang Xie, Dietmar Dommenget, Felicity S. McCormack, and Andrew N. Mackintosh
Geosci. Model Dev., 15, 3691–3719, https://doi.org/10.5194/gmd-15-3691-2022,https://doi.org/10.5194/gmd-15-3691-2022, 2022
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10 May 2022
MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes
Adrian K. Turner, William H. Lipscomb, Elizabeth C. Hunke, Douglas W. Jacobsen​​​​​​​, Nicole Jeffery, Darren Engwirda, Todd D. Ringler, and Jonathan D. Wolfe
Geosci. Model Dev., 15, 3721–3751, https://doi.org/10.5194/gmd-15-3721-2022,https://doi.org/10.5194/gmd-15-3721-2022, 2022
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10 May 2022
A scalability study of the Ice-sheet and Sea-level System Model (ISSM, version 4.18)
Yannic Fischler, Martin Rückamp, Christian Bischof, Vadym Aizinger, Mathieu Morlighem, and Angelika Humbert
Geosci. Model Dev., 15, 3753–3771, https://doi.org/10.5194/gmd-15-3753-2022,https://doi.org/10.5194/gmd-15-3753-2022, 2022
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10 May 2022
MagmaFOAM-1.0: a modular framework for the simulation of magmatic systems
Federico Brogi, Simone Colucci, Jacopo Matrone, Chiara Paola Montagna, Mattia De' Michieli Vitturi, and Paolo Papale
Geosci. Model Dev., 15, 3773–3796, https://doi.org/10.5194/gmd-15-3773-2022,https://doi.org/10.5194/gmd-15-3773-2022, 2022
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10 May 2022
Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data
Jeong-Beom Lee, Jae-Bum Lee, Youn-Seo Koo, Hee-Yong Kwon, Min-Hyeok Choi, Hyun-Ju Park, and Dae-Gyun Lee
Geosci. Model Dev., 15, 3797–3813, https://doi.org/10.5194/gmd-15-3797-2022,https://doi.org/10.5194/gmd-15-3797-2022, 2022
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12 May 2022
Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman
Geosci. Model Dev., 15, 3815–3829, https://doi.org/10.5194/gmd-15-3815-2022,https://doi.org/10.5194/gmd-15-3815-2022, 2022
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12 May 2022
| Highlight paper
Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1
Francine Schevenhoven and Alberto Carrassi
Geosci. Model Dev., 15, 3831–3844, https://doi.org/10.5194/gmd-15-3831-2022,https://doi.org/10.5194/gmd-15-3831-2022, 2022
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12 May 2022
Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0
Xiaotian Xu, Xu Feng, Haipeng Lin, Peng Zhang, Shaojian Huang, Zhengcheng Song, Yiming Peng, Tzung-May Fu, and Yanxu Zhang
Geosci. Model Dev., 15, 3845–3859, https://doi.org/10.5194/gmd-15-3845-2022,https://doi.org/10.5194/gmd-15-3845-2022, 2022
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13 May 2022
Water Ecosystems Tool (WET) 1.0 – a new generation of flexible aquatic ecosystem model
Nicolas Azaña Schnedler-Meyer, Tobias Kuhlmann Andersen, Fenjuan Rose Schmidt Hu, Karsten Bolding, Anders Nielsen, and Dennis Trolle
Geosci. Model Dev., 15, 3861–3878, https://doi.org/10.5194/gmd-15-3861-2022,https://doi.org/10.5194/gmd-15-3861-2022, 2022
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13 May 2022
On numerical broadening of particle-size spectra: a condensational growth study using PyMPDATA 1.0
Michael A. Olesik, Jakub Banaśkiewicz, Piotr Bartman, Manuel Baumgartner, Simon Unterstrasser, and Sylwester Arabas
Geosci. Model Dev., 15, 3879–3899, https://doi.org/10.5194/gmd-15-3879-2022,https://doi.org/10.5194/gmd-15-3879-2022, 2022
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13 May 2022
ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic
Veli Çağlar Yumruktepe, Annette Samuelsen, and Ute Daewel
Geosci. Model Dev., 15, 3901–3921, https://doi.org/10.5194/gmd-15-3901-2022,https://doi.org/10.5194/gmd-15-3901-2022, 2022
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16 May 2022
Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes
Xin Wang, Yilun Han, Wei Xue, Guangwen Yang, and Guang J. Zhang
Geosci. Model Dev., 15, 3923–3940, https://doi.org/10.5194/gmd-15-3923-2022,https://doi.org/10.5194/gmd-15-3923-2022, 2022
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16 May 2022
Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6
Xue Zheng, Qing Li, Tian Zhou, Qi Tang, Luke P. Van Roekel, Jean-Christophe Golaz, Hailong Wang, and Philip Cameron-Smith
Geosci. Model Dev., 15, 3941–3967, https://doi.org/10.5194/gmd-15-3941-2022,https://doi.org/10.5194/gmd-15-3941-2022, 2022
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16 May 2022
Description and evaluation of the community aerosol dynamics model MAFOR v2.0
Matthias Karl, Liisa Pirjola, Tiia Grönholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas, and Jaakko Kukkonen
Geosci. Model Dev., 15, 3969–4026, https://doi.org/10.5194/gmd-15-3969-2022,https://doi.org/10.5194/gmd-15-3969-2022, 2022
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