GSTDTAP

浏览/检索结果: 共6条,第1-6条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
The Impact of a Stochastic Parameterization Scheme on Climate Sensitivity in EC-Earth 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (23) : 12726-12740
作者:  Strommen, K.;  Watson, P. A. G.;  Palmer, T. N.
收藏  |  浏览/下载:10/0  |  提交时间:2020/02/17
The Impact of a Stochastic Parameterization Scheme on Climate Sensitivity in EC-Earth 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019
作者:  Strommen, K.;  Watson, P. A. G.;  Palmer, T. N.
收藏  |  浏览/下载:8/0  |  提交时间:2020/02/17
The Role of Soil Moisture Feedbacks in Future Summer Temperature Change over East Asia 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (22) : 12034-12056
作者:  Li, Kai;  Zhang, Jingyong;  Yang, Kai;  Wu, Lingyun
收藏  |  浏览/下载:6/0  |  提交时间:2020/02/17
soil moisture feedbacks  future temperature change  CCSM-WRF modeling  RCP8  5 scenario  East Asia  
Comparing Surface and Stratospheric Impacts of Geoengineering With Different SO2 Injection Strategies 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (14) : 7900-7918
作者:  Kravitz, Ben;  MacMartin, Douglas G.;  Tilmes, Simone;  Richter, Jadwiga H.;  Mills, Michael J.;  Cheng, Wei;  Dagon, Katherine;  Glanville, Anne S.;  Lamarque, Jean-Francois;  Simpson, Isla R.;  Tribbia, Joseph;  Vitt, Francis
收藏  |  浏览/下载:11/0  |  提交时间:2019/11/27
geoengineering  climate engineering  aerosols  
How Will a Warming Climate Affect the Benguela Coastal Low-Level Wind Jet? 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (9) : 5010-5028
作者:  Lima, Daniela C. A.;  Soares, Pedro M. M.;  Semedo, Alvaro;  Cardoso, Rita M.;  Cabos, William;  Sein, Dmitry V.
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/26
Timescale for Detecting the Climate Response to Stratospheric Aerosol Geoengineering 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (3) : 1233-1247
作者:  MacMartin, Douglas G.;  Wang, Wenli;  Kravitz, Ben;  Tilmes, Simone;  Richter, Jadwiga H.;  Mills, Michael J.
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/09
geoengineering  detection  variability