Zobrazeno 1 - 10
of 849
pro vyhledávání: '"H Chepfer"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 3363-3390 (2023)
Despite significant advances in atmospheric measurements and modeling, clouds' response to human-induced climate warming remains the largest source of uncertainty in model predictions of climate. The launch of the Cloud-Aerosol Lidar and Infrared Pat
Externí odkaz:
https://doaj.org/article/e314e8ecda9b484198f8c83823738319
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 1359-1377 (2023)
Atmospheric aerosol has substantial impacts on climate, air quality and biogeochemical cycles, and its concentrations are highly variable in space and time. A key variability to evaluate within models that simulate aerosol is the vertical distributio
Externí odkaz:
https://doaj.org/article/54b8d4c5d2c64aa7907d6c581d6e2335
Autor:
A. Arouf, H. Chepfer, T. Vaillant de Guélis, M. Chiriaco, M. D. Shupe, R. Guzman, A. Feofilov, P. Raberanto, T. S. L'Ecuyer, S. Kato, M. R. Gallagher
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 3893-3923 (2022)
Clouds warm the surface in the longwave (LW), and this warming effect can be quantified through the surface LW cloud radiative effect (CRE). The global surface LW CRE has been estimated over more than 2 decades using space-based radiometers (2000–2
Externí odkaz:
https://doaj.org/article/792a7834a87c40548d80fb5bb249c313
Autor:
P.-L. Ma, B. E. Harrop, V. E. Larson, R. B. Neale, A. Gettelman, H. Morrison, H. Wang, K. Zhang, S. A. Klein, M. D. Zelinka, Y. Zhang, Y. Qian, J.-H. Yoon, C. R. Jones, M. Huang, S.-L. Tai, B. Singh, P. A. Bogenschutz, X. Zheng, W. Lin, J. Quaas, H. Chepfer, M. A. Brunke, X. Zeng, J. Mülmenstädt, S. Hagos, Z. Zhang, H. Song, X. Liu, M. S. Pritchard, H. Wan, J. Wang, Q. Tang, P. M. Caldwell, J. Fan, L. K. Berg, J. D. Fast, M. A. Taylor, J.-C. Golaz, S. Xie, P. J. Rasch, L. R. Leung
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 2881-2916 (2022)
Realistic simulation of the Earth's mean-state climate remains a major challenge, and yet it is crucial for predicting the climate system in transition. Deficiencies in models' process representations, propagation of errors from one process to anothe
Externí odkaz:
https://doaj.org/article/7a402919a2e24664ace173d35d012cd4
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 1055-1074 (2022)
The space-borne active sounders have been contributing invaluable vertically resolved information of atmospheric optical properties since the launch of Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) in 2006. To build long
Externí odkaz:
https://doaj.org/article/92a7244ea74b4acaabe9c581d604881e
Publikováno v:
The Cryosphere, Vol 16, Pp 435-450 (2022)
Snowfall is the major source of mass for the Greenland ice sheet (GrIS) but the spatial and temporal variability of snowfall and the connections between snowfall and mass balance have so far been inadequately quantified. By characterizing local atmos
Externí odkaz:
https://doaj.org/article/e1d26e6f250b4be6af779a2d76a6557d
Publikováno v:
Geophysical Research Letters. 36
Autor:
D. Waliser, P. J. Gleckler, R. Ferraro, K. E. Taylor, S. Ames, J. Biard, M. G. Bosilovich, O. Brown, H. Chepfer, L. Cinquini, P. J. Durack, V. Eyring, P.-P. Mathieu, T. Lee, S. Pinnock, G. L. Potter, M. Rixen, R. Saunders, J. Schulz, J.-N. Thépaut, M. Tuma
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 2945-2958 (2020)
The Observations for Model Intercomparison Project (Obs4MIPs) was initiated in 2010 to facilitate the use of observations in climate model evaluation and research, with a particular target being the Coupled Model Intercomparison Project (CMIP), a maj
Externí odkaz:
https://doaj.org/article/7fb15f91fefc4b12b1fdab1032bf5752
Publikováno v:
Environmental Research Communications, Vol 5, Iss 4, p 045001 (2023)
In the Earth system models (ESMs) participating in the Coupled Models Intercomparison Project phase 6 (CMIP6), the tropical low-cloud feedback is 50% more positive than its predecessors (CMIP5) and continues to dominate the spread in simulated climat
Externí odkaz:
https://doaj.org/article/00ed86dd943d46688b111ff488ec8916
Publikováno v:
Earth System Science Data, Vol 12, Pp 1-20 (2020)
Multi-scale interactions between the main players of the atmospheric water cycle are poorly understood, even in the present-day climate, and represent one of the main sources of uncertainty among future climate projections. Here, we present a method
Externí odkaz:
https://doaj.org/article/4fa4d03ccb5f496da57c3e7cd184a442