Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Stephen G. Yeager"'
Autor:
Jadwiga H. Richter, Anne A. Glanville, Teagan King, Sanjiv Kumar, Stephen G. Yeager, Nicholas A. Davis, Yanan Duan, Megan D. Fowler, Abby Jaye, Jim Edwards, Julie M. Caron, Paul A. Dirmeyer, Gokhan Danabasoglu, Keith Oleson
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Subseasonal prediction fills the gap between weather forecasts and seasonal outlooks. There is evidence that predictability on subseasonal timescales comes from a combination of atmosphere, land, and ocean initial conditions. Predictability
Externí odkaz:
https://doaj.org/article/bb1fafe67d664a28abccf24b339c9d40
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract The Kuroshio Extension (KE) has far-reaching influences on climate as well as on local marine ecosystems. Thus, skillful multi-year to decadal prediction of the KE state and understanding sources of skill are valuable. Retrospective forecast
Externí odkaz:
https://doaj.org/article/abdb4b7ad0f6412793da02ff04b02b49
Autor:
Stephen G. Yeager, Ping Chang, Gokhan Danabasoglu, Nan Rosenbloom, Qiuying Zhang, Fred S. Castruccio, Abishek Gopal, M. Cameron Rencurrel, Isla R. Simpson
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract The impact of increased model horizontal resolution on climate prediction performance is examined by comparing results from low-resolution (LR) and high-resolution (HR) decadal prediction simulations conducted with the Community Earth System
Externí odkaz:
https://doaj.org/article/19ec71ab725943b2bae92b41a4a769a4
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Atlantic Niño, the dominant climate mode in the equatorial Atlantic, is known to remotely force a La Niña-like response in the Pacific, potentially affecting seasonal climate predictions. Here, we use both observations and large-ensemble s
Externí odkaz:
https://doaj.org/article/089e9846a67a4774a9ee78bff068aed3
Autor:
Mark R. Payne, Gokhan Danabasoglu, Noel Keenlyside, Daniela Matei, Anna K. Miesner, Shuting Yang, Stephen G. Yeager
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Advances in climate prediction mean that the state of the ocean and the drivers of shifts can be skilfully forecast up to a decade ahead. This study applies decadal-scale climate predictions to forecast shifts in the habitat and distribution of marin
Externí odkaz:
https://doaj.org/article/32b57e3a45d5411b896cee397d4d618c
Autor:
Dapeng Li, Ping Chang, Stephen G. Yeager, Gokhan Danabasoglu, Frederic S. Castruccio, Justin Small, Hong Wang, Qiuying Zhang, Abishek Gopal
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 5, Pp n/a-n/a (2022)
Abstract The Intergovernmental Panel on Climate Change Fifth Assessment Report lists sea‐level rise as one of the major future climate challenges. Based on pre‐industrial and historical‐and‐future climate simulations with the Community Earth
Externí odkaz:
https://doaj.org/article/e96adeb11bca4fbca18dcf2e8d962085
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Threats to marine ecosystems are increasing due to ocean acidification, but trends are spatiotemporally difficult to monitor or predict. Here the authors use an Earth system model to accurately predict surface pH changes in the economically and ecolo
Externí odkaz:
https://doaj.org/article/f3115511daf943b3bf2279c59b5f9e11
Autor:
Ping Chang, Shaoqing Zhang, Gokhan Danabasoglu, Stephen G. Yeager, Haohuan Fu, Hong Wang, Frederic S. Castruccio, Yuhu Chen, James Edwards, Dan Fu, Yinglai Jia, Lucas C. Laurindo, Xue Liu, Nan Rosenbloom, R. Justin Small, Gaopeng Xu, Yunhui Zeng, Qiuying Zhang, Julio Bacmeister, David A. Bailey, Xiaohui Duan, Alice K. DuVivier, Dapeng Li, Yuxuan Li, Richard Neale, Achim Stössel, Li Wang, Yuan Zhuang, Allison Baker, Susan Bates, John Dennis, Xiliang Diao, Bolan Gan, Abishek Gopal, Dongning Jia, Zhao Jing, Xiaohui Ma, R. Saravanan, Warren G. Strand, Jian Tao, Haiyuan Yang, Xiaoqi Wang, Zhiqiang Wei, Lixin Wu
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 12, Pp n/a-n/a (2020)
Abstract We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configu
Externí odkaz:
https://doaj.org/article/8f15892ed670486fbb01a1b224ed9fc4
Autor:
Malcolm J. Roberts, Laura C. Jackson, Christopher D. Roberts, Virna Meccia, David Docquier, Torben Koenigk, Pablo Ortega, Eduardo Moreno‐Chamarro, Alessio Bellucci, Andrew Coward, Sybren Drijfhout, Eleftheria Exarchou, Oliver Gutjahr, Helene Hewitt, Doroteaciro Iovino, Katja Lohmann, Dian Putrasahan, Reinhard Schiemann, Jon Seddon, Laurent Terray, Xiaobiao Xu, Qiuying Zhang, Ping Chang, Stephen G. Yeager, Frederic S. Castruccio, Shaoqing Zhang, Lixin Wu
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 8, Pp n/a-n/a (2020)
Abstract A multimodel, multiresolution ensemble using Coupled Model Intercomparison Project Phase 6 (CMIP6) High Resolution Model Intercomparison Project (HighResMIP) coupled experiments is used to assess the performance of key aspects of the North A
Externí odkaz:
https://doaj.org/article/8b74ce5a5c8441f78474dc0b3e65bb46
Autor:
Stephen G. Yeager, Nan Rosenbloom, Anne A. Glanville, Xian Wu, Isla Simpson, Hui Li, Maria J. Molina, Kristen Krumhardt, Samuel Mogen, Keith Lindsay, Danica Lombardozzi, Will Wieder, Who M. Kim, Jadwiga H. Richter, Matthew Long, Gokhan Danabasoglu, David Bailey, Marika Holland, Nicole Lovenduski, Warren G. Strand, Teagan King
Publikováno v:
Geoscientific Model Development. 15:6451-6493
The potential for multiyear prediction of impactful Earth system change remains relatively underexplored compared to shorter (subseasonal to seasonal) and longer (decadal) timescales. In this study, we introduce a new initialized prediction system us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b7108f75bfdb445edae0321f0d8cc7
https://doi.org/10.5194/gmd-15-6451-2022
https://doi.org/10.5194/gmd-15-6451-2022