95 citations as recorded by crossref.

1. Acceleration of the Parameterization of Unified Microphysics Across Scales (PUMAS) on the Graphics Processing Unit (GPU) With Directive‐Based Methods J. Sun et al. https://doi.org/10.1029/2022MS003515
2. Global daily 1 km land surface precipitation based on cloud cover-informed downscaling D. Karger et al. https://doi.org/10.1038/s41597-021-01084-6
3. Impact of spatial resolution on multi-scenario WRF-ARW simulations driven by the CMIP6 MPI-ESM1-2-HR global model: a focus on precipitation distribution over Italy M. Struglia et al. https://doi.org/10.5194/gmd-18-6095-2025
4. A deep-learning-based consistency test approach for Earth system models on HPC systems Y. Yu et al. https://doi.org/10.1016/j.isci.2024.111574
5. The Influence of the Resolution of Orography on the Simulation of Orographic Moist Convection C. Heim et al. https://doi.org/10.1175/MWR-D-19-0247.1
6. Convective Updraft and Downdraft Characteristics of Continental Mesoscale Convective Systems in the Model Gray Zone D. Wang et al. https://doi.org/10.1029/2022JD036746
7. Climate Statistics in Global Simulations of the Atmosphere, from 80 to 2.5 km Grid Spacing C. Hohenegger et al. https://doi.org/10.2151/jmsj.2020-005
8. swLICOM: the multi-core version of an ocean general circulation model on the new generation Sunway supercomputer and its kilometer-scale application K. Xu et al. https://doi.org/10.5194/gmd-19-3317-2026
9. Mapping Europe into local climate zones M. Demuzere et al. https://doi.org/10.1371/journal.pone.0214474
10. The GPU version of LASG/IAP Climate System Ocean Model version 3 (LICOM3) under the heterogeneous-compute interface for portability (HIP) framework and its large-scale application P. Wang et al. https://doi.org/10.5194/gmd-14-2781-2021
11. Deep learning-based downscaling of tropospheric nitrogen dioxide using ground-level and satellite observations M. Yu & Q. Liu https://doi.org/10.1016/j.scitotenv.2021.145145
12. Future Directions in Precipitation Science F. Tapiador et al. https://doi.org/10.3390/rs13061074
13. Convection‐permitting modeling with regional climate models: Latest developments and next steps P. Lucas‐Picher et al. https://doi.org/10.1002/wcc.731
14. A Blended Sea Ice Concentration Product from AMSR2 and VIIRS R. Dworak et al. https://doi.org/10.3390/rs13152982
15. Characterizing uncertainties of Earth system modeling with heterogeneous many-core architecture computing Y. Yu et al. https://doi.org/10.5194/gmd-15-6695-2022
16. Improving Performance of SLAV Model for Medium Range Weather Prediction R. Fadeev et al. https://doi.org/10.1134/S1995080224603874
17. The added value of km-scale simulations to describe temperature over complex orography: the CORDEX FPS-Convection multi-model ensemble runs over the Alps P. Soares et al. https://doi.org/10.1007/s00382-022-06593-7
18. CHELSA-TraCE21k – high-resolution (1 km) downscaled transient temperature and precipitation data since the Last Glacial Maximum D. Karger et al. https://doi.org/10.5194/cp-19-439-2023
19. Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System A. Gupta et al. https://doi.org/10.1038/s41597-024-03699-x
20. Establishing a non-hydrostatic global atmospheric modeling system at 3-km horizontal resolution with aerosol feedbacks on the Sunway supercomputer of China J. Gu et al. https://doi.org/10.1016/j.scib.2022.03.009
21. HOMMEXX 1.0: a performance-portable atmospheric dynamical core for the Energy Exascale Earth System Model L. Bertagna et al. https://doi.org/10.5194/gmd-12-1423-2019
22. Reflecting on the Goal and Baseline for Exascale Computing: A Roadmap Based on Weather and Climate Simulations T. Schulthess et al. https://doi.org/10.1109/MCSE.2018.2888788
23. Stürmische Zeiten für die Klimaforschung C. Hohenegger & D. Klocke https://doi.org/10.1002/piuz.202001580
24. A global map of local climate zones to support earth system modelling and urban-scale environmental science M. Demuzere et al. https://doi.org/10.5194/essd-14-3835-2022
25. A Baseline for Global Weather and Climate Simulations at 1 km Resolution N. Wedi et al. https://doi.org/10.1029/2020MS002192
26. A statistical physics approach to perform fast highly-resolved air quality simulations – A new step towards the meta-modelling of chemistry transport models B. Bessagnet et al. https://doi.org/10.1016/j.envsoft.2019.02.017
27. Iterative integration of deep learning in hybrid Earth surface system modelling M. Chen et al. https://doi.org/10.1038/s43017-023-00452-7
28. The ICON-A model for direct QBO simulations on GPUs (version icon-cscs:baf28a514) M. Giorgetta et al. https://doi.org/10.5194/gmd-15-6985-2022
29. A Numerical Analysis of Six Physics‐Dynamics Coupling Schemes for Atmospheric Models S. Ubbiali et al. https://doi.org/10.1029/2020MS002377
30. Casper: Accelerating Stencil Computations Using Near-Cache Processing A. Denzler et al. https://doi.org/10.1109/ACCESS.2023.3252002
31. A global CORDEX-based dataset delineating urban areas and their surroundings to assess climate change in megacities J. Diez-Sierra et al. https://doi.org/10.1038/s41597-025-06257-1
32. Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain F. Chow et al. https://doi.org/10.3390/atmos10050274
33. Pace v0.2: a Python-based performance-portable atmospheric model J. Dahm et al. https://doi.org/10.5194/gmd-16-2719-2023
34. Challenges and opportunities for a hybrid modelling approach to earth system science S. See & J. Adie https://doi.org/10.1007/s42514-021-00071-y
35. Barotropic Instability of a Cyclone Core at Kilometer‐Scale Resolution D. Leutwyler & C. Schär https://doi.org/10.1029/2019MS001847
36. The scientific challenge of understanding and estimating climate change T. Palmer & B. Stevens https://doi.org/10.1073/pnas.1906691116
37. Accelerating atmospheric physics parameterizations using graphics processing units D. Abdi & I. Jankov https://doi.org/10.1177/10943420241238711
38. Near‐surface mean wind in Switzerland: Climatology, climate model evaluation and future scenarios M. Graf et al. https://doi.org/10.1002/joc.6108
39. Global Simulations of the Atmosphere at 1.45 km Grid-Spacing with the Integrated Forecasting System P. DUEBEN et al. https://doi.org/10.2151/jmsj.2020-016
40. Km-scale climate simulations over Madeira and Canary Islands under present and future conditions: a model intercomparison study M. Adinolfi et al. https://doi.org/10.1007/s00382-024-07563-x
41. Sensitivity evaluation of the different physical parameterizations schemes in regional climate model RegCM4.5 for simulation of air temperature and precipitation over North and West of Iran F. KhayatianYazdi et al. https://doi.org/10.1016/j.dynatmoce.2020.101199
42. The digital revolution of Earth-system science P. Bauer et al. https://doi.org/10.1038/s43588-021-00023-0
43. Enabling Large-Scale Simulation of CAM on the Sunway TaihuLight Supercomputer Y. Li et al. https://doi.org/10.1109/TC.2021.3063422
44. Model intercomparison of COSMO 5.0 and IFS 45r1 at kilometer-scale grid spacing C. Zeman et al. https://doi.org/10.5194/gmd-14-4617-2021
45. Periodic orbits in chaotic systems simulated at low precision M. Klöwer et al. https://doi.org/10.1038/s41598-023-37004-4
46. GridTools: A framework for portable weather and climate applications A. Afanasyev et al. https://doi.org/10.1016/j.softx.2021.100707
47. ROMSOC: a regional atmosphere–ocean coupled model for CPU–GPU hybrid system architectures G. Eirund et al. https://doi.org/10.5194/gmd-18-6255-2025
48. Leveraging Google's Tensor Processing Units for tsunami-risk mitigation planning in the Pacific Northwest and beyond I. Madden et al. https://doi.org/10.5194/gmd-16-3479-2023
49. Porting the Meso-NH atmospheric model on different GPU architectures for the next generation of supercomputers (version MESONH-v55-OpenACC) J. Escobar et al. https://doi.org/10.5194/gmd-18-2679-2025
50. Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. https://doi.org/10.5194/gmd-17-2387-2024
51. Abelian–Higgs cosmic string evolution with multiple GPUs J. Correia & C. Martins https://doi.org/10.1016/j.ascom.2020.100438
52. Evaluation of semi-implicit and explicit sedimentation approaches in the two-moment cloud microphysics scheme of ICON S. Bolt & N. Omanovic https://doi.org/10.5194/gmd-19-595-2026
53. Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne G. Martucci et al. https://doi.org/10.5194/amt-14-1333-2021
54. On the importance of both climate and vegetation evolution when predicting long-term wildfire susceptibility F. Ren et al. https://doi.org/10.1071/WF25092
55. Developing Guidelines for working with Multi-Model Ensembles in CMIP A. Katzenberger et al. https://doi.org/10.5194/esd-17-495-2026
56. Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python D. Häfner et al. https://doi.org/10.1029/2021MS002717
57. Exploring a high-level programming model for the NWP domain using ECMWF microphysics schemes S. Ubbiali et al. https://doi.org/10.5194/gmd-18-529-2025
58. Vortex streets to the lee of Madeira in a kilometre-resolution regional climate model Q. Gao et al. https://doi.org/10.5194/wcd-4-189-2023
59. Jet stream dynamics from a potential vorticity gradient perspective: The method and its application to a kilometre‐scale simulation M. Bukenberger et al. https://doi.org/10.1002/qj.4513
60. High-resolution monthly precipitation and temperature time series from 2006 to 2100 D. Karger et al. https://doi.org/10.1038/s41597-020-00587-y
61. Reduced Rainfall in Future Heavy Precipitation Events Related to Contracted Rain Area Despite Increased Rain Rate M. Armon et al. https://doi.org/10.1029/2021EF002397
62. Quantifying Convective Aggregation Using the Tropical Moist Margin's Length T. Beucler et al. https://doi.org/10.1029/2020MS002092
63. The added value of simulated near-surface wind speed over the Alps from a km-scale multimodel ensemble M. Molina et al. https://doi.org/10.1007/s00382-024-07257-4
64. On the Feasibility of Using Large-Eddy Simulations for Real-Time Turbulent-Flow Forecasting in the Atmospheric Boundary Layer P. Bauweraerts & J. Meyers https://doi.org/10.1007/s10546-019-00428-5
65. The earth in the model: The nomothetic, idiographic, and plural epistemic aims of planetary modelling J. Sánchez-Dorado https://doi.org/10.1177/20530196241302084
66. Super-Clausius–Clapeyron scaling of extreme precipitation explained by shift from stratiform to convective rain type N. Da Silva & J. Haerter https://doi.org/10.1038/s41561-025-01686-4
67. Assessing the robustness and scalability of the accelerated pseudo-transient method L. Räss et al. https://doi.org/10.5194/gmd-15-5757-2022
68. Inter-model Variability in Convection-Resolving Simulations of Subtropical Marine Low Clouds C. HEIM et al. https://doi.org/10.2151/jmsj.2021-062
69. Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform S. Zhang et al. https://doi.org/10.5194/gmd-13-4809-2020
70. Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect A. Li et al. https://doi.org/10.1109/TPDS.2019.2928289
71. The Atlantic Meridional Overturning Circulation in High‐Resolution Models J. Hirschi et al. https://doi.org/10.1029/2019JC015522
72. Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs A. Sridhar et al. https://doi.org/10.5194/gmd-15-6259-2022
73. Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer M. Norman et al. https://doi.org/10.1177/10943420211027539
74. Exploring Pathways to More Accurate Machine Learning Emulation of Atmospheric Radiative Transfer P. Ukkonen https://doi.org/10.1029/2021MS002875
75. Harnessing the Power of Multi-GPU Acceleration into the Quantum Interaction Computational Kernel Program M. Manathunga et al. https://doi.org/10.1021/acs.jctc.1c00145
76. Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes H. Fowler et al. https://doi.org/10.1098/rsta.2019.0542
77. Can We Constrain Uncertainty in Hydrologic Cycle Projections? A. Prein & A. Pendergrass https://doi.org/10.1029/2018GL081529
78. Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction T. Benacchio et al. https://doi.org/10.1177/1094342021990433
79. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. https://doi.org/10.1029/2020RG000715
80. Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale C. Yang et al. https://doi.org/10.1029/2022MS003507
81. Mountain Volume Control on Deep-Convective Rain Amount during Episodes of Weak Synoptic Forcing A. Imamovic et al. https://doi.org/10.1175/JAS-D-18-0217.1
82. Assessing the scales in numerical weather and climate predictions: will exascale be the rescue? P. Neumann et al. https://doi.org/10.1098/rsta.2018.0148
83. A Downscaling Intercomparison Study: The Representation of Slope- and Ridge-Scale Processes in Models of Different Complexity B. Kruyt et al. https://doi.org/10.3389/feart.2022.789332
84. High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units T. Nakaegawa https://doi.org/10.3390/computers11070114
85. Twelve Times Faster yet Accurate: A New State‐Of‐The‐Art in Radiation Schemes via Performance and Spectral Optimization P. Ukkonen & R. Hogan https://doi.org/10.1029/2023MS003932
86. WegenerNet high-resolution weather and climate data from 2007 to 2020 J. Fuchsberger et al. https://doi.org/10.5194/essd-13-1307-2021
87. Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld https://doi.org/10.5194/gmd-14-4429-2021
88. Elucidating the role of stacking faults in TlGaSe2 on its thermoelectric properties T. Simonian et al. https://doi.org/10.1038/s41699-025-00569-x
89. Spatiotemporal event detection: a review M. Yu et al. https://doi.org/10.1080/17538947.2020.1738569
90. ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales C. Hohenegger et al. https://doi.org/10.5194/gmd-16-779-2023
91. Technical descriptions of the experimental dynamical downscaling simulations over North America by the CAM–MPAS variable-resolution model K. Sakaguchi et al. https://doi.org/10.5194/gmd-16-3029-2023
92. Evaluation of Water Vapor Feedback Using a Two-Layer Atmospheric Box Model K. Morimoto et al. https://doi.org/10.3390/mmphys2020004
93. The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale A. Müller et al. https://doi.org/10.5194/gmd-12-4425-2019
94. Climate Models Permit Convection at Much Coarser Resolutions Than Previously Considered J. Vergara-Temprado et al. https://doi.org/10.1175/JCLI-D-19-0286.1
95. Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of Massive-Parallel Trajectory Calculations (MPTRAC) v2.6 L. Hoffmann et al. https://doi.org/10.5194/gmd-17-4077-2024