60 citations as recorded by crossref.

1. Tropically driven and externally forced patterns of Antarctic sea ice change: reconciling observed and modeled trends D. Schneider & C. Deser https://doi.org/10.1007/s00382-017-3893-5
2. Future Antarctic snow accumulation trend is dominated by atmospheric synoptic-scale events Q. Dalaiden et al. https://doi.org/10.1038/s43247-020-00062-x
3. Antarctica-Regional Climate and Surface Mass Budget V. Favier et al. https://doi.org/10.1007/s40641-017-0072-z
4. Sensitivity of the current Antarctic surface mass balance to sea surface conditions using MAR C. Kittel et al. https://doi.org/10.5194/tc-12-3827-2018
5. Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity X. Jia et al. https://doi.org/10.1016/j.atmosres.2019.05.025
6. Study of Phytoplankton Biomass and Environmental Drivers in and around the Ross Sea Marine Protected Area Y. Song & X. Lv https://doi.org/10.3390/jmse11040747
7. A review of recent changes in Southern Ocean sea ice, their drivers and forcings W. Hobbs et al. https://doi.org/10.1016/j.gloplacha.2016.06.008
8. A clustering-based approach to ocean model–data comparison around Antarctica Q. Sun et al. https://doi.org/10.5194/os-17-131-2021
9. Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century A. Wernecke et al. https://doi.org/10.1029/2021GL096589
10. Historically-based run-time bias corrections substantially improve model projections of 100 years of future climate change G. Krinner et al. https://doi.org/10.1038/s43247-020-00035-0
11. Evaluation of regional climate features over Antarctica in the PMIP past1000 experiment and implications for 21st-century sea level rise V. Charnay et al. https://doi.org/10.5194/cp-21-1611-2025
12. Improved clouds over Southern Ocean amplify Antarctic precipitation response to ozone depletion in an earth system model D. Schneider et al. https://doi.org/10.1007/s00382-020-05346-8
13. Deep Learning Regional Climate Model Emulators: A Comparison of Two Downscaling Training Frameworks M. van der Meer et al. https://doi.org/10.1029/2022MS003593
14. Influence of the height of Antarctic ice sheet on its climate K. Tewari et al. https://doi.org/10.1016/j.polar.2021.100642
15. Ice-Free Conditions in the Arctic Projected by Score-Based Selected Models and Models’ Spread Analysis E. Shalina et al. https://doi.org/10.1007/s41748-025-00856-z
16. Estimating radar reflectivity - Snowfall rate relationships and their uncertainties over Antarctica by combining disdrometer and radar observations N. Souverijns et al. https://doi.org/10.1016/j.atmosres.2017.06.001
17. On the need for a time- and location-dependent estimation of the NDSI threshold value for reducing existing uncertainties in snow cover maps at different scales S. Härer et al. https://doi.org/10.5194/tc-12-1629-2018
18. Sensitivity of Glacier Runoff to Winter Snow Thickness Investigated for Vatnajökull Ice Cap, Iceland, Using Numerical Models and Observations L. Schmidt et al. https://doi.org/10.3390/atmos9110450
19. An assessment of historical Antarctic precipitation and temperature trend using CMIP5 models and reanalysis datasets M. Tang et al. https://doi.org/10.1016/j.polar.2018.01.001
20. Projected Slowdown of Antarctic Bottom Water Formation in Response to Amplified Meltwater Contributions V. Lago & M. England https://doi.org/10.1175/JCLI-D-18-0622.1
21. Evaluation of current and projected Antarctic precipitation in CMIP5 models C. Palerme et al. https://doi.org/10.1007/s00382-016-3071-1
22. Antarctic Atmospheric River Climatology and Precipitation Impacts J. Wille et al. https://doi.org/10.1029/2020JD033788
23. What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates R. Mottram et al. https://doi.org/10.5194/tc-15-3751-2021
24. Southern Ocean warming and Antarctic ice shelf melting in conditions plausible by late 23rd century in a high-end scenario P. Mathiot & N. Jourdain https://doi.org/10.5194/os-19-1595-2023
25. Future sea level contribution from Antarctica inferred from CMIP5 model forcing and its dependence on precipitation ansatz C. Rodehacke et al. https://doi.org/10.5194/esd-11-1153-2020
26. Simulation of factors affecting Emiliania huxleyi blooms in Arctic and sub-Arctic seas by CMIP5 climate models: model validation and selection N. Gnatiuk et al. https://doi.org/10.5194/bg-17-1199-2020
27. Striking stationarity of large-scale climate model bias patterns under strong climate change G. Krinner & M. Flanner https://doi.org/10.1073/pnas.1807912115
28. The circum-Antarctic ice-shelves respond to a more positive Southern Annular Mode with regionally varied melting D. Verfaillie et al. https://doi.org/10.1038/s43247-022-00458-x
29. Which Climate Model Evaluation Methods Can Consistently Select Skillful Models from the CMIP6 Ensemble? N. Gnatiuk et al. https://doi.org/10.24057/2071-9388-2025-3694
30. Future evolution of the hydroclimatic conditions favouring floods in the south‐east of Belgium by 2100 using a regional climate model C. Wyard et al. https://doi.org/10.1002/joc.6642
31. Regional modeling of surface mass balance on the Cook Ice Cap, Kerguelen Islands ($$49^{\circ }\mathrm{S}$$, $$69^{\circ }\mathrm{E}$$) D. Verfaillie et al. https://doi.org/10.1007/s00382-019-04904-z
32. Dynamical reconstruction of Southern Ocean and Antarctic climate variability since 1700 Q. Dalaiden et al. https://doi.org/10.1038/s41597-025-05808-w
33. Effect of prescribed sea surface conditions on the modern and future Antarctic surface climate simulated by the ARPEGE atmosphere general circulation model J. Beaumet et al. https://doi.org/10.5194/tc-13-3023-2019
34. CMIP5 model selection for ISMIP6 ice sheet model forcing: Greenland and Antarctica A. Barthel et al. https://doi.org/10.5194/tc-14-855-2020
35. Clouds drive differences in future surface melt over the Antarctic ice shelves C. Kittel et al. https://doi.org/10.5194/tc-16-2655-2022
36. Melting and freezing under Antarctic ice shelves from a combination of ice-sheet modelling and observations J. BERNALES et al. https://doi.org/10.1017/jog.2017.42
37. Brief communication: Two-year MRR observations at Great Wall Station, Antarctic Peninsula region J. Sun et al. https://doi.org/10.5194/tc-20-4049-2026
38. Future surface mass balance and surface melt in the Amundsen sector of the West Antarctic Ice Sheet M. Donat-Magnin et al. https://doi.org/10.5194/tc-15-571-2021
39. Empirical Run‐Time Bias Correction for Antarctic Regional Climate Projections With a Stretched‐Grid AGCM G. Krinner et al. https://doi.org/10.1029/2018MS001438
40. Assessment of future Antarctic amplification of surface temperature change under different Scenarios from CMIP6 J. Zhu et al. https://doi.org/10.1007/s11629-022-7646-5
41. Future projections of temperature and precipitation for Antarctica K. Tewari et al. https://doi.org/10.1088/1748-9326/ac43e2
42. Temperature and precipitation projections for the Antarctic Peninsula over the next two decades: contrasting global and regional climate model simulations D. Bozkurt et al. https://doi.org/10.1007/s00382-021-05667-2
43. Future Projections of Antarctic Ice Shelf Melting Based on CMIP5 Scenarios K. Naughten et al. https://doi.org/10.1175/JCLI-D-17-0854.1
44. Experimental protocol for sea level projections from ISMIP6 stand-alone ice sheet models S. Nowicki et al. https://doi.org/10.5194/tc-14-2331-2020
45. Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet C. Kittel et al. https://doi.org/10.5194/tc-15-1215-2021
46. Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6 S. Nowicki et al. https://doi.org/10.5194/gmd-9-4521-2016
47. Anthropogenic and internal drivers of wind changes over the Amundsen Sea, West Antarctica, during the 20th and 21st centuries P. Holland et al. https://doi.org/10.5194/tc-16-5085-2022
48. Precipitation phase transition in austral summer over the Antarctic Peninsula A. Chyhareva et al. https://doi.org/10.33275/1727-7485.1.2021.664
49. Scoring Antarctic surface mass balance in climate models to refine future projections T. Gorte et al. https://doi.org/10.5194/tc-14-4719-2020
50. Variability of Springtime Coastal Polynyas over the Ross Sea and Its Impact on the Following Sea-Ice Evolution Z. Wei et al. https://doi.org/10.1007/s00376-025-4264-5
51. Dynamic simulations of Vatnajökull ice cap from 1980 to 2300 L. Schmidt et al. https://doi.org/10.1017/jog.2019.90
52. Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model H. Wang et al. https://doi.org/10.5194/tc-14-429-2020
53. Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise K. Arjdal et al. https://doi.org/10.1002/asl.1180
54. Precipitation instruments at Rothera Station, Antarctic Peninsula: a comparative study M. Tang et al. https://doi.org/10.1080/17518369.2018.1503906
55. Surface Melt and Runoff on Antarctic Ice Shelves at 1.5°C, 2°C, and 4°C of Future Warming E. Gilbert & C. Kittel https://doi.org/10.1029/2020GL091733
56. Future changes in Antarctic near-surface winds: regional variability and key drivers under a high-emission scenario C. Davrinche et al. https://doi.org/10.5194/tc-19-6023-2025
57. Spatial and Temporal Variability of Temperature in Iran for the Twenty-First Century Foreseen by the CMIP5 GCM Models M. Miri et al. https://doi.org/10.1007/s00024-020-02631-9
58. The importance of accurate glacier albedo for estimates of surface mass balance on Vatnajökull: evaluating the surface energy budget in a regional climate model with automatic weather station observations L. Schmidt et al. https://doi.org/10.5194/tc-11-1665-2017
59. Conservation of heat and mass in P-SKRIPS version 1: the coupled atmosphere–ice–ocean model of the Ross Sea A. Malyarenko et al. https://doi.org/10.5194/gmd-16-3355-2023
60. Meridional Oceanic and Atmospheric Heat Fluxes at the Entrance to the Atlantic Sector of the Arctic: Verification of CMIP6 Models and Climate Projections Based on the Selected Sub-Ensembles M. Latonin et al. https://doi.org/10.2205/2024ES000917