Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ryan E. Stanfield"'
Autor:
Ming Luo, Jonathan H. Jiang, Ryan E. Stanfield, Saulo R. Freitas, Zhengzhao Johnny Luo, Hui Su, Andrea Molod, Lei Huang
Publikováno v:
Journal of Geophysical Research: Atmospheres. 124:9796-9807
Publikováno v:
Journal of Geophysical Research: Atmospheres. 122:2179-2193
NOAA MAPP under grant at the University of North Dakota [NA13OAR4310105]; NASA CERES project under grant at the University of Arizona [NNX17AC52G]
Autor:
Jonathan H. Jiang, Jason N. S. Cole, Ryan E. Stanfield, Eiki Shindo, Leon D. Rotstayn, Hui Su, Baike Xi, Leo J. Donner, Tongwen Wu, Xiquan Dong
Publikováno v:
Climate Dynamics. 47:1863-1880
According to the Intergovernmental Panel on Climate Change 5th Assessment Report, the broad-scale features of precipitation as simulated by Phase 5 of the Coupled Model Intercomparison Project (CMIP5) are in modest agreement with observations, howeve
Autor:
Patrick Minnis, Anthony D. Del Genio, Xiquan Dong, Ryan E. Stanfield, David R. Doelling, Baike Xi, Norman G. Loeb
Publikováno v:
Journal of Climate. 28:1842-1864
In Part I of this study, the NASA GISS Coupled Model Intercomparison Project (CMIP5) and post-CMIP5 (herein called C5 and P5, respectively) simulated cloud properties were assessed utilizing multiple satellite observations, with a particular focus on
Publikováno v:
Journal of Climate, vol 30, iss 19
Huang, Yiyi; Dong, Xiquan; Xi, Baike; Dolinar, Erica K; Stanfield, Ryan E; & Qiu, Shaoyue. (2017). Quantifying the Uncertainties of Reanalyzed Arctic Cloud and Radiation Properties Using Satellite Surface Observations. Journal of Climate, 30(19), 8007-8029. doi: 10.1175/jcli-d-16-0722.1. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9kx1p2zv
Huang, Yiyi; Dong, Xiquan; Xi, Baike; Dolinar, Erica K; Stanfield, Ryan E; & Qiu, Shaoyue. (2017). Quantifying the Uncertainties of Reanalyzed Arctic Cloud and Radiation Properties Using Satellite Surface Observations. Journal of Climate, 30(19), 8007-8029. doi: 10.1175/jcli-d-16-0722.1. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9kx1p2zv
Reanalyses have proven to be convenient tools for studying the Arctic climate system, but their uncertainties should first be identified. In this study, five reanalyses (JRA-55, 20CRv2c, CFSR, ERA-Interim, and MERRA-2) are compared with NASA CERES–
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9312da4c4f42cfca70f4b609eb16de90
https://escholarship.org/uc/item/9kx1p2zv
https://escholarship.org/uc/item/9kx1p2zv
Autor:
Xiquan Dong, Baike Xi, Xiangdong Zhang, Yi Deng, Behnjamin J. Zib, Bing Lin, Ryan E. Stanfield, Charles N. Long
Publikováno v:
Climate Dynamics. 43(1-2):53-70
Along with significant changes in the Arctic climate system, the largest year-to-year variation in sea-ice extent (SIE) has occurred in the Laptev, East Siberian, and Chukchi seas (defined here as the area of focus, AOF), among which the two highly c